test(retrieval): a held-out gold set, and the first out-of-sample number

Iteration 7 measured this harness's own ceiling at +3 gross / +1 net against a
decision floor of 6. An instrument whose ceiling sits below its floor cannot
certify or refute anything, so the gold set — not the retriever — was the
blocker. This iteration builds no retrieval mechanism; it fixes the instrument
and uses it once.

extend_gold_set.py appends 37 queries (q39-q75) WITHOUT touching q01-q38, so
every committed baseline and per-query id stays comparable. 30 held-out
paraphrases: targets sampled mechanically (seed 8080) from addressable
500-2600 char nodes outside the original answer space and outside any duplicate
cluster; queries authored from the node body alone, before any retrieval was
run, and each one re-proved at build time to share ZERO content words with its
target. 7 extra nonsense controls, fully mechanical.

Why this was needed: the original 13 paraphrase and 6 associative queries share
ONE answer space — the 13 `Self - Values (grounded)` children. 19 of 35 scored
queries tested retrieval against a single 13-node neighbourhood.

FIRST OUT-OF-SAMPLE RESULT (main vs the accumulated stack, embedded corpus):
  held-out only : +5 / -0, p=0.0625 — one query short of the floor, NOT-SHOWN
  original 38   : +15 / -0
  full 75       : +20 / -0, p=0.0000, latency 0.46x
In-sample paraphrase 61.5% vs out-of-sample 16.7%: generalisation is real,
directional and 3.7x weaker than the headline number suggested.

Also recorded: 47.4% of this corpus is redundant and ONE record accounts for
46.6% of all 78,768 nodes (36,737 byte-identical copies under distinct ids).

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

chat.elh

@@ -1,4 +1,4 @@
-// auto-generated by elc --emit-header — do not edit
+// auto-generated by elc --emit-header - do not edit
 extern fn chat_default_model() -> String
 extern fn engram_numeric_valid(s: String) -> Bool
 extern fn parse_float_x100(s: String) -> Int
@@ -16,18 +16,35 @@ extern fn engram_nodes_merge(a: String, b: String) -> String
 extern fn id_in_seen(node_id: String, seen: String) -> Bool
 extern fn add_to_seen(seen: String, node_id: String) -> String
 extern fn engram_extract_ids(nodes_json: String) -> String
+extern fn affective_node_ts(node_json: String) -> Int
 extern fn engram_compile(intent: String) -> String
 extern fn distill_transcript(transcript: String) -> String
 extern fn json_safe(s: String) -> String
 extern fn current_engine_note(model: String) -> String
+extern fn bounded_persona_floor() -> String
+extern fn operator_identity_block() -> String
 extern fn build_system_prompt(ctx: String, chat_mode: Bool) -> String
 extern fn hist_append(hist: String, role: String, content: String) -> String
+extern fn conv_hist_key(session_id: String) -> String
+extern fn conv_hist_label(session_id: String) -> String
+extern fn is_utility_request(body: String, session_id: String) -> Bool
+extern fn provenance_scan_urls(arr: String, acc: String) -> String
+extern fn provenance_add_sources(block: String, btype: String, has_cit: Bool, cit_raw: String, acc: String) -> String
+extern fn provenance_names(tools_used: String) -> String
+extern fn text_join_sep(accumulated: String, incoming: String, after_interruption: Bool) -> String
+extern fn receipt_rule() -> String
+extern fn receipt_strip(s: String) -> String
+extern fn tool_receipt(tools_used: String, sources: String) -> String
 extern fn hist_trim(hist: String) -> String
 extern fn hist_trim_with_bell_guard(hist: String) -> String
 extern fn clean_llm_response(s: String) -> String
-extern fn conv_history_persist(hist: String) -> Void
-extern fn conv_history_load() -> String
+extern fn conv_history_persist(session_id: String, hist: String) -> Void
+extern fn conv_history_load(session_id: String) -> String
+extern fn conv_history_record(session_id: String, user_msg: String, assistant_msg: String, receipt: String) -> Void
+extern fn conv_history_block(session_id: String) -> String
+extern fn layered_generate(prompt: String, imprint_id: String, session_id: String) -> String
 extern fn session_preload_bullets(nodes: String, max_bullets: Int, snip_len: Int) -> String
+extern fn affective_context_prefix() -> String
 extern fn handle_chat(body: String) -> String
 extern fn handle_see(body: String) -> String
 extern fn studio_tools_json() -> String
@@ -37,6 +54,8 @@ extern fn llm_wire_format() -> String
 extern fn json_escape(s: String) -> String
 extern fn openai_chat_complete(model: String, base_url: String, api_key: String, safe_sys: String, messages_json: String) -> String
 extern fn agentic_tools_literal() -> String
+extern fn web_search_tool_json() -> String
+extern fn strip_client_web_search(tools_inner: String) -> String
 extern fn agentic_tools_with_web() -> String
 extern fn connector_tools_json() -> String
 extern fn agentic_tools_all() -> String
@@ -46,6 +65,10 @@ extern fn call_neuron_mcp(tool_name: String, args: String) -> String
 extern fn agent_workspace_root() -> String
 extern fn path_within_root(path: String, root: String) -> Bool
 extern fn resolve_in_root(path: String, root: String) -> String
+extern fn run_command_is_readonly(cmd: String) -> Bool
+extern fn cmd_abs_escape_at(cmd: String, root: String, needle: String) -> Bool
+extern fn run_command_guard(cmd: String, root: String) -> String
+extern fn classify_tool_risk(tool_name: String, tool_input: String) -> String
 extern fn dispatch_tool(tool_name: String, tool_input: String) -> String
 extern fn is_builtin_tool(tool_name: String) -> Bool
 extern fn next_bridge_id() -> String

dist/elp-c-decls.h

@@ -5,6 +5,15 @@ el_val_t add_punct(el_val_t s, el_val_t intent);
 el_val_t add_to_seen(el_val_t seen, el_val_t node_id);
 el_val_t aff_try_slot(el_val_t slot_json, el_val_t aff_7d_ts, el_val_t acc_key);
 el_val_t affective_context_prefix(void);
+el_val_t is_utility_request(el_val_t body, el_val_t session_id);
+el_val_t operator_identity_block(void);
+el_val_t provenance_add_sources(el_val_t block, el_val_t btype, el_val_t has_cit, el_val_t cit_raw, el_val_t acc);
+el_val_t provenance_names(el_val_t tools_used);
+el_val_t provenance_scan_urls(el_val_t arr, el_val_t acc);
+el_val_t text_join_sep(el_val_t accumulated, el_val_t incoming, el_val_t after_interruption);
+el_val_t receipt_rule(void);
+el_val_t receipt_strip(el_val_t s);
+el_val_t tool_receipt(el_val_t tools_used, el_val_t sources);
 el_val_t agent_number(el_val_t agent);
 el_val_t agent_person(el_val_t agent);
 el_val_t agent_workspace_root(void);
@@ -151,8 +160,12 @@ el_val_t cmd_abs_escape_at(el_val_t cmd, el_val_t root, el_val_t needle);
 el_val_t connectd_get(el_val_t suffix);
 el_val_t connectd_post(el_val_t suffix, el_val_t body);
 el_val_t connector_tools_json(void);
-el_val_t conv_history_load(void);
-el_val_t conv_history_persist(el_val_t hist);
+el_val_t conv_hist_key(el_val_t session_id);
+el_val_t conv_hist_label(el_val_t session_id);
+el_val_t conv_history_block(el_val_t session_id);
+el_val_t conv_history_load(el_val_t session_id);
+el_val_t conv_history_persist(el_val_t session_id, el_val_t hist);
+el_val_t conv_history_record(el_val_t session_id, el_val_t user_msg, el_val_t assistant_msg, el_val_t receipt);
 el_val_t cop_article(el_val_t gender, el_val_t number, el_val_t definite);
 el_val_t cop_bwk_future(el_val_t prefix);
 el_val_t cop_bwk_perfect(el_val_t prefix);
@@ -782,7 +795,8 @@ el_val_t lang_profile_uga(void);
 el_val_t lang_profile_zh(void);
 el_val_t lang_profile(el_val_t code, el_val_t word_order, el_val_t morph_type, el_val_t has_case, el_val_t has_gender, el_val_t script_dir, el_val_t agreement, el_val_t null_subject);
 el_val_t lang_word_order(el_val_t profile);
-el_val_t layered_cycle(el_val_t raw_input);
+el_val_t layered_cycle(el_val_t raw_input, el_val_t session_id, el_val_t utility);
+el_val_t layered_generate(el_val_t prompt, el_val_t imprint_id, el_val_t session_id);
 el_val_t lex_class(el_val_t entry);
 el_val_t lex_form(el_val_t entry, el_val_t idx);
 el_val_t lex_pos(el_val_t entry);

dist/soul-with-nlg.el

@@ -1,3 +1,18 @@
+// ╔══════════════════════════════════════════════════════════════════════════╗
+// ║ STALE BUNDLE — DO NOT BUILD. UNSAFE CHAT PATH.                           ║
+// ╚══════════════════════════════════════════════════════════════════════════╝
+// This concatenated bundle is a snapshot, not a source of truth, and it is stale in
+// a way that matters for safety: it wires /api/chat straight to handle_chat and
+// contains NO layered_cycle at all (verified: zero occurrences in the bundled code —
+// the only textual hit in this file is this banner). A binary built from
+// this file would run chat with no enforcing input gate (no safety_screen, no
+// hard-bell short-circuit) and no enforcing output gate (no safety_validate).
+//
+// Build from the .el sources via manifest.el (entry soul.el), or from dist/soul.c.
+// Nothing in the repo references this file. It is kept only as a historical artifact
+// and should be deleted once Will confirms nothing external depends on it.
+// (Flagged 2026-08-04 in _engine-websearch-20260804/SAFETY-STOP.md; banner added
+// 2026-08-05 with the plain-chat generation fix.)
 // language-profile.el - Language profile data and accessors.
 //
 // A language profile is a slot map ([String] key-value list) describing the

routes.el

@@ -15,6 +15,40 @@ fn flag_true(body: String, key: String) -> Bool {
     return json_get_bool(body, key) || json_get_int(body, key) > 0
 }
 
+// ---------------------------------------------------------------------------
+// plain_chat_envelope — the JSON response contract for a non-agentic ("Tools: Off")
+// chat turn. Every /api/chat dispatch that calls layered_cycle goes through here, so
+// the three call sites cannot drift apart.
+//
+// WHY THE ENVELOPE IS BUILT HERE AND NOT INSIDE layered_cycle:
+// layered_cycle returns the user-facing text AFTER safety_validate has acted on it.
+// Keeping the JSON out of the cycle means the output gate always sees raw model text
+// and never an escaped blob — there is nothing to unwrap and re-wrap on the crisis
+// path, which is exactly the failure mode that made wiring handle_chat unsafe.
+// Escaping is the last thing that happens, strictly after the gate.
+//
+// FIELDS: `reply` and `response` carry the same validated text. Both are required by
+// live clients — the desktop app reads `reply` first (DaemonClient.parseChatResponse),
+// while the CLI tools and the Telegram gateway read `response` (the gateway reads only
+// `response`). Emitting one would break the other.
+//
+// EMPTY MEANS FAILURE, NOT AN EMPTY ANSWER: a hard bell returns the fixed crisis
+// message and a soft bell is padded to non-empty by safety_validate, so the only way
+// an empty string leaves the cycle is a failed model call. It is reported as an error
+// rather than dressed up as a successful blank reply.
+// ---------------------------------------------------------------------------
+fn plain_chat_envelope(validated: String, model: String) -> String {
+    if str_eq(validated, "") {
+        return "{\"error\":\"llm unavailable\",\"reply\":\"\",\"response\":\"\",\"agentic\":false,\"tools_used\":[]}"
+    }
+    let safe: String = json_safe(validated)
+    return "{\"reply\":\"" + safe + "\""
+        + ",\"response\":\"" + safe + "\""
+        + ",\"model\":\"" + json_safe(model) + "\""
+        + ",\"agentic\":false"
+        + ",\"tools_used\":[]}"
+}
+
 // ---------------------------------------------------------------------------
 // Rate limiting — simple in-memory per-IP sliding window counter.
 //
@@ -243,8 +277,14 @@ fn handle_dharma_recv(body: String) -> String {
         } else if agentic_flag {
             handle_chat_agentic(chat_body)
         } else {
-            let screened_reply: String = layered_cycle(raw_msg)
-            screened_reply
+            // Non-agentic ("Tools: Off"): the full L1→L2→L3→L1 cycle, which now generates
+            // at L3 instead of echoing. Envelope built outside the cycle — see
+            // plain_chat_envelope.
+            // FIX B/E1 (2026-08-05): the cycle is told which conversation it is in, and
+            // whether this generation is conversation at all. Same two arguments at all
+            // three dispatch sites.
+            let screened_reply: String = layered_cycle(raw_msg, json_get(chat_body, "session_id"), is_utility_request(chat_body, json_get(chat_body, "session_id")))
+            plain_chat_envelope(screened_reply, chat_default_model())
         }
         auto_persist(chat_body, reply)
         return reply
@@ -416,8 +456,11 @@ fn handle_request(method: String, path: String, body: String) -> String {
             } else if agentic_flag {
                 handle_chat_agentic(body)
             } else {
-                let screened_reply: String = layered_cycle(eff_msg)
-                screened_reply
+                // Non-agentic ("Tools: Off") — same cycle and same envelope as POST.
+                // FIX B/E1: same threading. A GET probe usually carries no session_id, which
+                // resolves to the anonymous window — the documented behaviour for this door.
+                let screened_reply: String = layered_cycle(eff_msg, json_get(body, "session_id"), is_utility_request(body, json_get(body, "session_id")))
+                plain_chat_envelope(screened_reply, chat_default_model())
             }
             auto_persist(body, reply)
             return reply
@@ -580,8 +623,13 @@ fn handle_request(method: String, path: String, body: String) -> String {
             } else if agentic_flag {
                 handle_chat_agentic(body)
             } else {
-                let screened_reply: String = layered_cycle(raw_msg)
-                screened_reply
+                // Non-agentic ("Tools: Off") — the app's DEFAULT mode (AgentMode.NEVER).
+                // Full L1→L2→L3→L1 cycle with real generation at L3; envelope built
+                // outside the cycle so safety_validate always sees raw text.
+                // FIX B/E1: same threading. This is the app's main plain-chat door, so this
+                // is the site that ends the blank stare in practice.
+                let screened_reply: String = layered_cycle(raw_msg, json_get(body, "session_id"), is_utility_request(body, json_get(body, "session_id")))
+                plain_chat_envelope(screened_reply, chat_default_model())
             }
             auto_persist(body, reply)
             return reply

scripts/run-el-test.sh

@@ -0,0 +1,108 @@
+#!/usr/bin/env bash
+# run-el-test.sh — compile and run one El test program from tests/.
+#
+# WHY THIS EXISTS (2026-08-07, issue #129):
+#   tests/ has held 14 test programs for months with no way to run them. CI does
+#   not run them. The convention printed in their own headers
+#   (`elc soul.el && ./soul --test tests/x.el`) refers to a --test flag the El
+#   runtime does not implement. So the tests were documentation, not gates —
+#   which is how a P0 safety regression shipped with a test directory present.
+#
+# THE RECIPE, AND WHY IT IS THIS SHAPE:
+#   Same discovery as gen-soul-amalgam.sh — `elc --target=c` emits only an extern
+#   prototype for any module that has a .elh header next to it, and inlines the
+#   module's bodies when it does not. A test that imports ../chat.el therefore
+#   compiles to a 18 KB unit full of unresolved externs unless the headers are
+#   out of the way. So: copy the sources into a scratch tree, delete every .elh
+#   on the import chain, and compile the test there.
+#
+#   Scratch copy on purpose: the worktree is shared with other terminals and
+#   deleting headers in place would be a shared-tree mutation with no owner.
+#
+# EXIT STATUS IS THE GATE: non-zero if the binary fails to build, crashes, or if
+# its output contains a FAIL line or reports a non-zero failed count. Do not
+# "improve" this into something that only checks the exit code of the test
+# binary — these El tests print failures and still exit 0.
+#
+# usage: scripts/run-el-test.sh tests/test_history_amplification.el
+set -euo pipefail
+
+TEST_REL="${1:?usage: run-el-test.sh tests/<test>.el}"
+SRC="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
+TEST_NAME="$(basename "$TEST_REL" .el)"
+
+ELC="${ELC:-$HOME/neuron-dev-stack/src/el/lang/dist/platform/elc}"
+[ -x "$ELC" ] || ELC="$HOME/el-sdk/elc"
+[ -x "$ELC" ] || { echo "[run-el-test] FAIL: no elc found (set ELC=)"; exit 1; }
+
+RTC="${RTC:-$SRC/vendor/el-runtime/v1.0.0-20260501/el_runtime.c}"
+[ -f "$RTC" ] || RTC="$HOME/el-sdk/el_runtime.c"
+[ -f "$RTC" ] || { echo "[run-el-test] FAIL: no el_runtime.c found (set RTC=)"; exit 1; }
+RTDIR="$(dirname "$RTC")"
+
+EL_REPO="${EL_REPO:-$HOME/Development/neuron-technologies/el}"
+SSL="${SSL_PREFIX:-/opt/homebrew/opt/openssl@3}"
+
+GEN="$(mktemp -d "${TMPDIR:-/tmp}/el-test.XXXXXX")"
+trap 'rm -rf "$GEN"' EXIT
+
+mkdir -p "$GEN/neuron/tests" "$GEN/foundation/el/elp/src"
+cp "$SRC"/*.el "$GEN/neuron/"
+cp "$SRC"/tests/*.el "$GEN/neuron/tests/" 2>/dev/null || true
+[ -d "$EL_REPO/elp/src" ] && cp "$EL_REPO"/elp/src/*.el "$GEN/foundation/el/elp/src/" 2>/dev/null || true
+# The whole recipe depends on there being no headers to short-circuit inlining.
+find "$GEN" -name '*.elh' -delete
+
+echo "[run-el-test] compiling $TEST_REL"
+( cd "$GEN/neuron" && "$ELC" --target=c "tests/${TEST_NAME}.el" ) > "$GEN/${TEST_NAME}.c"
+
+BODIES=$(grep -c '^el_val_t .*) {$' "$GEN/${TEST_NAME}.c" || true)
+echo "[run-el-test] $(wc -c < "$GEN/${TEST_NAME}.c" | tr -d ' ') bytes, ${BODIES} inlined function bodies"
+# A test that imports ../chat.el pulls in the bulk of the engine. A tiny body
+# count means an import was read from a header instead of inlined, and the test
+# would be exercising extern stubs rather than the real code.
+if [ "$BODIES" -lt 100 ]; then
+  echo "[run-el-test] FAIL: only $BODIES inlined bodies — an import was not inlined"
+  exit 1
+fi
+
+cc -O2 -DHAVE_CURL \
+   -I"$RTDIR" -I"$SSL/include" -L"$SSL/lib" \
+   "$GEN/${TEST_NAME}.c" "$RTC" \
+   -lssl -lcrypto -lcurl -lpthread -lm \
+   -o "$GEN/${TEST_NAME}" 2> "$GEN/cc.log" || {
+     echo "[run-el-test] FAIL: compile error"; tail -30 "$GEN/cc.log"; exit 1; }
+
+# arm64 pointer-truncation guard (cc-brain.sh's rule): an implicit declaration of
+# a runtime symbol truncates its returned pointer to 32 bits.
+if grep -E 'implicit.*(engram_|el_)' "$GEN/cc.log"; then
+  echo "[run-el-test] FAIL: implicit declarations of runtime symbols"; exit 1; fi
+
+# Throwaway HOME so a test can never read or write the live engram at ~/.neuron.
+TEST_HOME="$GEN/home"
+mkdir -p "$TEST_HOME"
+
+echo "[run-el-test] running $TEST_NAME"
+set +e
+HOME="$TEST_HOME" NEURON_HOME="$TEST_HOME/.neuron" "$GEN/${TEST_NAME}" 2>&1 | tee "$GEN/out.txt"
+RC=${PIPESTATUS[0]}
+set -e
+
+if [ "$RC" -ne 0 ]; then
+  echo "[run-el-test] FAIL: $TEST_NAME exited $RC (crash or abort)"
+  exit 1
+fi
+if grep -q "  FAIL:" "$GEN/out.txt"; then
+  echo "[run-el-test] FAIL: $TEST_NAME reported failing assertions"
+  exit 1
+fi
+if grep -qE '[1-9][0-9]* failed' "$GEN/out.txt"; then
+  echo "[run-el-test] FAIL: $TEST_NAME reported a non-zero failed count"
+  exit 1
+fi
+if ! grep -q "PASS:" "$GEN/out.txt"; then
+  echo "[run-el-test] FAIL: $TEST_NAME produced no assertions at all"
+  exit 1
+fi
+
+echo "[run-el-test] PASS: $TEST_NAME"

soul.el

@@ -379,9 +379,23 @@ fn emit_session_start_event() -> Void {
 // layered_cycle — routes user-facing requests through the 4-layer consciousness stack.
 // L0 (core) → L1 (safety screen) → L2a (continuity + behavioral profiling) → L2b (mission alignment) → L3 (imprint) → L1 (safety validate)
 // Internal cognition (heartbeat, proactive, memory ops) bypasses layers — use one_cycle directly.
-fn layered_cycle(raw_input: String) -> String {
-    let history: String = state_get("conv_history")
-    let session_id: String = state_get("current_session_id")
+//
+// FIX B (2026-08-05) — the cycle now knows which conversation it is in.
+//
+// session_id: the caller's session, threaded from the route. Was previously read from the
+// state key "current_session_id", which is read HERE and written NOWHERE in the entire
+// source — verified across every .el file. So this value was unconditionally "", and every
+// downstream consumer of it silently fell back to a process-global bucket: conversation
+// history, and the steward's continuity tracking (TODO reliability #4, below, describes the
+// cross-session bleed this caused; threading the real id closes it). The plain path's blank
+// stare and the agentic path's scoped history were the same defect seen from two sides.
+//
+// utility: true when the generation is not part of the user's conversation — the app's
+// title and insight passes. Answered normally, never recorded. See is_utility_request.
+fn layered_cycle(raw_input: String, session_id: String, utility: Bool) -> String {
+    // Safety-screen history amplification now reads the SAME window the turn will be
+    // recorded into, so a session's own escalation pattern is what gets scored.
+    let history: String = state_get(conv_hist_key(session_id))
 
     // L1 in: safety screen
     let screen_result: String = safety_screen(raw_input, history)
@@ -423,8 +437,10 @@ fn layered_cycle(raw_input: String) -> String {
     let cont_action: String = json_get(continuity, "action")
 
     // Store continuity status so imprint can adjust its response register.
-    // TODO(reliability #4): session_continuity is process-global; scope per session_id
-    // when available to prevent cross-session bleed under concurrent layered_cycle calls.
+    // TODO(reliability #4) CLOSED 2026-08-05: this line was already written to scope per
+    // session — it just never received a session id, because the only source was a state key
+    // nothing wrote. It is now threaded from the route, so named sessions genuinely get their
+    // own continuity state and only anonymous callers share the global one.
     let cont_key: String = if str_eq(session_id, "") { "session_continuity" } else { "session_continuity:" + session_id }
     state_set(cont_key, cont_status)
 
@@ -453,40 +469,24 @@ fn layered_cycle(raw_input: String) -> String {
     let lc_aff_cutoff: Int = time_now() - 259200
     let lc_bell_nodes: String = engram_search_json("bell:soft bell:hard BellEvent affective", 2)
     let lc_has_bell: Bool = !str_eq(lc_bell_nodes, "") && !str_eq(lc_bell_nodes, "[]")
+    // CRASH FIX 2026-08-05 (BUG-PLAINCHAT-1): the " | ts:" parser used to be inline here.
+    // Inside this block-expression initializer elc compiled `lbmp + str_len(lbm)` to
+    // el_str_concat() on two integers, which segfaulted the whole daemon the moment a
+    // distress turn followed an earlier affective turn — i.e. exactly on the crisis path.
+    // Verified against the unmodified baseline binary AND present in the committed
+    // dist/soul.c. affective_node_ts() is a top-level function, where the same expression
+    // compiles to integer addition. Do not inline it back.
     let lc_bell_note: String = if lc_has_bell {
         let lb0: String = json_array_get(lc_bell_nodes, 0)
-        let lb_c: String = json_get(lb0, "content")
-        let lbm: String = " | ts:"
-        let lbmp: Int = str_index_of(lb_c, lbm)
-        let lb_ts_raw: String = if lbmp >= 0 {
-            let lbs: Int = lbmp + str_len(lbm)
-            let lbr: String = str_slice(lb_c, lbs, str_len(lb_c))
-            let lbn: Int = str_index_of(lbr, " | ")
-            if lbn < 0 { lbr } else { str_slice(lbr, 0, lbn) }
-        } else {
-            let lbca: String = json_get(lb0, "created_at")
-            if str_eq(lbca, "") { json_get(lb0, "updated_at") } else { lbca }
-        }
-        let lb_ts: Int = if str_eq(lb_ts_raw, "") { 0 } else { str_to_int(lb_ts_raw) }
+        let lb_ts: Int = affective_node_ts(lb0)
         if lb_ts > lc_aff_cutoff { "[AFFECTIVE NOTE: User was in distress in a recent session.]" } else { "" }
     } else { "" }
     let lc_pos_nodes: String = engram_search_json("PositiveEvent joy:high joy:low affective", 2)
     let lc_has_pos: Bool = !str_eq(lc_pos_nodes, "") && !str_eq(lc_pos_nodes, "[]")
+    // Same crash fix as the bell note above (BUG-PLAINCHAT-1).
     let lc_pos_note: String = if lc_has_pos && str_eq(lc_bell_note, "") {
         let lp0: String = json_array_get(lc_pos_nodes, 0)
-        let lp_c: String = json_get(lp0, "content")
-        let lpm: String = " | ts:"
-        let lpmp: Int = str_index_of(lp_c, lpm)
-        let lp_ts_raw: String = if lpmp >= 0 {
-            let lps: Int = lpmp + str_len(lpm)
-            let lpr: String = str_slice(lp_c, lps, str_len(lp_c))
-            let lpn: Int = str_index_of(lpr, " | ")
-            if lpn < 0 { lpr } else { str_slice(lpr, 0, lpn) }
-        } else {
-            let lpca: String = json_get(lp0, "created_at")
-            if str_eq(lpca, "") { json_get(lp0, "updated_at") } else { lpca }
-        }
-        let lp_ts: Int = if str_eq(lp_ts_raw, "") { 0 } else { str_to_int(lp_ts_raw) }
+        let lp_ts: Int = affective_node_ts(lp0)
         if lp_ts > lc_aff_cutoff { "[AFFECTIVE NOTE: User shared positive news in a recent session.]" } else { "" }
     } else { "" }
     let lc_affective_note: String = if !str_eq(lc_bell_note, "") { lc_bell_note } else { lc_pos_note }
@@ -498,11 +498,47 @@ fn layered_cycle(raw_input: String) -> String {
     }
     state_set("layered_cycle_safety_system_addendum", augmented_addendum)
 
-    // L3: imprint responds
-    let output: String = imprint_respond(aligned, imprint_id)
+    // L3: imprint responds — applies the active imprint's voice/domain annotation to the
+    // steward-aligned input. This produces the PROMPT, not the answer.
+    let prompt: String = imprint_respond(aligned, imprint_id)
 
-    // L1 out: validate output before delivery
-    return safety_validate(output, screen_action)
+    // L3b: the imprint SPEAKS (added 2026-08-05).
+    //
+    // Until now the cycle stopped at the annotation above, so /api/chat with agentic:false
+    // handed the user's own screened text back as the "reply" — every gate ran, but nothing
+    // ever generated. The generation is placed HERE, inside the cycle, rather than by
+    // pointing the route at handle_chat(): handle_chat has no enforcing input gate and no
+    // enforcing output gate, so calling it instead of this cycle would have traded the whole
+    // safety pipeline for a working reply. Composing keeps both.
+    //
+    // Order is deliberate and must not be rearranged: this call sits strictly AFTER the L1
+    // screen, the safe-mode guard, the hard-bell short-circuit and the L2 stewardship layers,
+    // and strictly BEFORE the L1 output gate. A hard bell never reaches a model — the branch
+    // above returns first. Tools are not offered on this turn; see layered_generate.
+    let output: String = layered_generate(prompt, imprint_id, session_id)
+
+    // L1 out: validate output before delivery. Still the terminal gate — nothing below this
+    // line can change the string this function returns.
+    let validated: String = safety_validate(output, screen_action)
+
+    // Turn bookkeeping. Records the VALIDATED text, never the raw model output, and is only
+    // reachable on the non-bell path: both bell branches above return before this point, so
+    // bell turns still never enter conversation history. Pure state side effect — it cannot
+    // alter what is returned.
+    //
+    // FIX A: the receipt is unconditional and always negative on this path, because on this
+    // path it is structurally true — layered_generate offers no tools at all (build_system_prompt
+    // chat mode + a request body with no "tools" key). Recording "no tools ran" is not padding:
+    // it is the only thing that distinguishes "nothing ran" from "we forgot to write down what
+    // ran", and that ambiguity is what made the model confess to a search it had performed.
+    //
+    // FIX E1: a utility generation is answered but not recorded. Guarded here rather than at
+    // the route so every /api/chat dispatch site inherits it from one place.
+    let receipt: String = tool_receipt("", "")
+    if !utility {
+        conv_history_record(session_id, raw_input, validated, receipt)
+    }
+    return validated
 }
 
 let soul_cgi_id_raw: String = env("SOUL_CGI_ID")

soul.elh

@@ -1,6 +1,8 @@
 // auto-generated by elc --emit-header - do not edit
 extern fn init_soul_edges() -> Void
+extern fn ensure_self_canonical_bridge() -> Void
+extern fn aff_try_slot(slot_json: String, aff_7d_ts: Int, acc_key: String) -> Void
 extern fn load_identity_context() -> Void
 extern fn seed_persona_from_env() -> Void
 extern fn emit_session_start_event() -> Void
-extern fn layered_cycle(raw_input: String) -> String
+extern fn layered_cycle(raw_input: String, session_id: String, utility: Bool) -> String

tests/test_history_amplification.el

@@ -0,0 +1,213 @@
+// ── test_history_amplification.el ─────────────────────────────────────────────
+//
+// REGRESSION TEST FOR ISSUE #129 (P0, SAFETY).
+//
+// What this guards: on the agentic path, the crisis score has two halves — the
+// message you just sent, and the distress that has accumulated across the
+// conversation. The second half is the whole reason the escalation logic exists:
+// someone whose distress builds over several turns never sends one message that
+// trips the bell on its own.
+//
+// The defect this test was written against (ff421d3, 2026-08-05 → fixed
+// 2026-08-07): conversation history moved to a per-session key via
+// conv_hist_key(session_id), but the agentic path's safety screen was left
+// reading the old anonymous "conv_history" bucket. The desktop app always sends
+// a session_id, so the screen received "" on every real conversation and the
+// escalation half always scored 0. Nothing failed. Nothing logged. The comment
+// above the defective line documented this same bug being fixed once before.
+//
+// THE INVARIANT UNDER TEST, stated so it survives future renames:
+//   the window the safety screen READS must be the window conv_history_record
+//   WRITES. Not "must be called conv_history" — must AGREE.
+//
+// This test is deliberately written to fail loudly on the pre-fix source. If it
+// ever passes on code where the screen reads a key nothing writes, it is broken.
+//
+// To run (macOS, from the worktree root):
+//   scripts/run-el-test.sh tests/test_history_amplification.el
+// ──────────────────────────────────────────────────────────────────────────────
+
+import "../chat.el"
+import "../safety.el"
+import "../sessions.el"
+
+// Program class. Without this an El program compiles as a 'utility', and a
+// utility may not call the self-formation primitives (llm_call_system,
+// llm_vision) that chat.el's agentic loop references — the unit fails to
+// compile with a capability violation even though the test never calls them.
+// Declaring 'cgi' matches how soul.el declares itself.
+//
+// The endpoints below are deliberately DEAD: this test must never reach a live
+// engram, and nothing it asserts depends on one. Port 9 is discard.
+cgi "neuron-test-history-amplification" {
+    dharma_id: "ntn-test@http://127.0.0.1:9",
+    principal: "test-harness",
+    network:   "dharma-testnet",
+    engram:    "http://127.0.0.1:9"
+}
+
+// ── Counters ──────────────────────────────────────────────────────────────────
+//
+// NOTE for anyone copying this harness: the idiom used by the older tests in
+// this directory — `let pass_count = pass_count + 1` inside an assert function —
+// does NOT mutate the module-level binding. It declares a new local that dies
+// with the call, so those suites all print "0 passed, 0 failed" no matter what
+// happened. Counters go through the state store here so the summary is real.
+
+fn bump(counter: String) -> Void {
+    let cur: String = state_get(counter)
+    let n: Int = if str_eq(cur, "") { 0 } else { str_to_int(cur) }
+    state_set(counter, int_to_str(n + 1))
+}
+
+fn counter_of(counter: String) -> Int {
+    let cur: String = state_get(counter)
+    if str_eq(cur, "") { return 0 }
+    return str_to_int(cur)
+}
+
+fn assert_eq(label: String, got: String, expected: String) -> Void {
+    if str_eq(got, expected) {
+        bump("t_pass")
+        println("  PASS: " + label)
+    } else {
+        bump("t_fail")
+        println("  FAIL: " + label)
+        println("    got:      " + got)
+        println("    expected: " + expected)
+    }
+}
+
+fn assert_true(label: String, cond: Bool) -> Void {
+    if cond {
+        bump("t_pass")
+        println("  PASS: " + label)
+    } else {
+        bump("t_fail")
+        println("  FAIL: " + label)
+    }
+}
+
+// ── Fixtures ──────────────────────────────────────────────────────────────────
+//
+// ESCALATION_MSG scores 50 on its own ("can't go on", safety_score_crisis s9).
+// 50 is >= soft (35) and < hard (70): a soft bell by itself, which is the point.
+// It is the message that is only a crisis IN CONTEXT.
+//
+// DISTRESS_TURN carries five history phrases:
+//   hopeless 15 + worthless 15 + nobody cares 15 + can't take it anymore 20
+//   + want to disappear 20 = 85; contributed at 1/3 weight = 28.
+// 50 + 28 = 78 >= 70 → hard_bell. That 28-point swing IS the escalation logic,
+// and it is exactly what the defect suppressed.
+
+let TEST_SESSION: String = "sess-test-129-history-amplification"
+let ESCALATION_MSG: String = "honestly i can't go on like this"
+let DISTRESS_TURN: String = "i feel hopeless and worthless, nobody cares, i can't take it anymore, i want to disappear"
+
+println("")
+println("test_history_amplification.el — issue #129 (agentic multi-turn crisis escalation)")
+
+// ── 1. Baseline: the message alone is a SOFT bell, not a hard one ─────────────
+//
+// If this ever returns hard_bell, the test below proves nothing — the message
+// would trip the bell without any history and the amplification would be
+// invisible. This assertion is what keeps the real test honest.
+
+println("")
+println("1. baseline — escalation message with NO history is a soft bell")
+
+let baseline: String = safety_screen(ESCALATION_MSG, "")
+assert_eq("no history -> soft_bell (not hard)", json_get(baseline, "action"), "soft_bell")
+
+// ── 2. Producer sanity: history lands in the session's own window ─────────────
+
+println("")
+println("2. producer — conv_history_record writes the session's window")
+
+conv_history_record(TEST_SESSION, DISTRESS_TURN, "i hear you, that sounds heavy", "")
+
+let written: String = state_get(conv_hist_key(TEST_SESSION))
+assert_true("session window is non-empty after record", !str_eq(written, ""))
+assert_true("session window contains the distress turn", str_contains(written, "hopeless"))
+
+// ── 3. THE REGRESSION: the agentic screen must SEE that window ────────────────
+//
+// Pre-fix this returns soft_bell, because agentic_safety_screen read the
+// anonymous bucket and got "". Post-fix it returns hard_bell.
+
+println("")
+println("3. REGRESSION #129 — agentic screen reads the session's own window")
+
+let screened: String = agentic_safety_screen(TEST_SESSION, ESCALATION_MSG)
+assert_eq(
+    "distress history escalates the agentic screen to hard_bell",
+    json_get(screened, "action"),
+    "hard_bell"
+)
+
+// ── 4. The invariant, stated directly ─────────────────────────────────────────
+//
+// Independent of thresholds and phrase lists: whatever the screen reads for a
+// session must equal what the recorder wrote for that session. This is the
+// assertion that survives a future rename of either side.
+
+println("")
+println("4. invariant — read window == written window")
+
+let read_back: String = state_get(conv_hist_key(TEST_SESSION))
+assert_true("screen input is the recorded window, not empty", !str_eq(read_back, ""))
+assert_eq("read window is byte-identical to written window", read_back, written)
+
+// ── 5. No false positive: a calm session does not escalate ────────────────────
+//
+// A test that only ever asserts "hard_bell" would pass on code that hard-bells
+// every message. This is the other leg, and it runs BEFORE the anonymous case
+// below on purpose: that case writes the shared bucket, and under the defect a
+// calm session would then inherit it.
+
+println("")
+println("5. specificity — a calm history does NOT escalate")
+
+let CALM_SESSION: String = "sess-test-129-calm"
+state_set("conv_history", "")
+conv_history_record(CALM_SESSION, "what is the weather like today", "clear and mild", "")
+let calm: String = agentic_safety_screen(CALM_SESSION, ESCALATION_MSG)
+assert_eq("calm history stays at soft_bell", json_get(calm, "action"), "soft_bell")
+
+// ── 6. Cross-session leakage ──────────────────────────────────────────────────
+//
+// The same defect had a second face: because the screen read one shared bucket,
+// a calm session could be scored against a DIFFERENT session's distress. That is
+// wrong in both directions — it fabricates a crisis for the calm user and it
+// leaks the distressed user's content into another session's scoring.
+
+println("")
+println("6. isolation — one session's distress must not score another session")
+
+state_set("conv_history", "")
+let OTHER_SESSION: String = "sess-test-129-other"
+conv_history_record(OTHER_SESSION, DISTRESS_TURN, "i hear you", "")
+let isolated: String = agentic_safety_screen(CALM_SESSION, ESCALATION_MSG)
+assert_eq(
+    "a distressed OTHER session does not escalate the calm session",
+    json_get(isolated, "action"),
+    "soft_bell"
+)
+
+// ── 7. Anonymous sessions still work ──────────────────────────────────────────
+//
+// conv_hist_key("") deliberately falls back to the shared "conv_history" bucket.
+// The fix must not break the no-session_id path older callers rely on. Runs last
+// because it writes that shared bucket.
+
+println("")
+println("7. anonymous path — empty session_id still screens against the shared window")
+
+state_set("conv_history", "[{\"role\":\"user\",\"content\":\"" + DISTRESS_TURN + "\"}]")
+let anon: String = agentic_safety_screen("", ESCALATION_MSG)
+assert_eq("anonymous session escalates too", json_get(anon, "action"), "hard_bell")
+
+// ── Summary ───────────────────────────────────────────────────────────────────
+
+println("")
+println("history amplification tests: " + int_to_str(counter_of("t_pass")) + " passed, " + int_to_str(counter_of("t_fail")) + " failed")

tools/retrieval-eval/README.md

@@ -0,0 +1,147 @@
+# Retrieval eval harness
+
+Measures Neuron's memory retrieval so a change can be shown to help before it is
+believed to help. Nothing else on the memory roadmap should ship without a run
+through this.
+
+```
+tools/retrieval-eval/run_comparison.sh --baseline main --candidate <branch>
+```
+
+That builds a soul from each ref, boots each in isolation on a fixed corpus,
+runs the gold set three times per ref, and prints a table plus a verdict that
+refuses to call a difference real if it is inside the noise band.
+
+## What was reused
+
+This is not a new idea, it is the missing third of an existing one.
+
+| Prior work | What it gave | What was missing |
+|---|---|---|
+| `docs/research/graphrag_eval/` (`collect.py`, `score.py`, 2026-06-08) | The three-retriever comparison that produced the numbers everyone quotes: substring 1.7% P@5, graph 21.7%, BM25 55%. Per-query relevant-id scoring, fixed-denominator precision@5, unique-relevant analysis. | 13 hand-written queries, judged by an LLM after the fact; measured the *live* soul on the *live* engram. |
+| `docs/research-archive/p0-prototypes/eval_pinned_40q_20260715.py` | The pinned-query discipline: ground truth committed as regexes so every run judges alike, plus a `--check` winnability gate. 40 queries in 5 bands including a deliberate paraphrase-hard band. | Scored offline replicas of substring/BM25 — it never ran the real retrieval path. |
+| `docs/research-archive/p0-prototypes/stage0_eval_20260714.py` | The `hit@5` metric and the substring/BM25 reference implementations. | Same: offline only. |
+| `scripts/verify-soul-contract.sh` | The isolation recipe, verbatim: throwaway port, throwaway `HOME`, `SOUL_ENGRAM_PATH`, and the non-obvious `SOUL_ISE_URL` pin that stops an "isolated" soul silently syncing the operator's live brain. | It is a contract gate, not a measurement. |
+| `_engine-liveness-91/gen-soul-amalgam.sh` + `.gitea/workflows/ci.yaml` | The build recipe (`elc --target=c` with every `.elh` on the import chain removed) and CI's exact compile flags. | — |
+
+**Reused directly:** the isolation recipe, the build recipe, fixed-denominator
+precision@5, the pinned-ground-truth and winnability ideas.
+**New here:** ids rather than regexes as ground truth, an associative category
+derived from real graph edges, a superseded/contradicted category scored on
+ranking, a machine-checked zero-lexical-overlap guarantee on paraphrases,
+paired significance testing, and — the point — measurement against the **real
+compiled soul** rather than an offline replica of one leg of it.
+
+## Design fit
+
+The thing under measurement is Will's designed retrieval: spreading activation
+over the weighted directed graph, four-factor multiplicative scoring (parent
+strength x edge weight x target salience x query/target cosine). A Python
+re-implementation would measure my reading of the design. So the harness
+compiles the actual `soul.el` amalgam and asks it over HTTP on
+`/api/neuron/recall`, exactly as the MCP wrapper and the app do.
+
+## Files
+
+| File | Does |
+|---|---|
+| `build_gold_set.py` | Derives and **validates** the gold set from the corpus. `--check` re-validates and exits non-zero if a query became unwinnable or a paraphrase leaked a word. |
+| `gold_set.json` | 38 queries. Every one carries a `derivation` string. |
+| `run_eval.py` | Boots one soul in isolation, runs the gold set, writes metrics. Kills and **confirms dead** its child; records the confirmation in the results file. |
+| `compare.py` | Paired diff of two result files with McNemar's exact test and a stated noise floor. |
+| `build-soul.sh` | Compiles a soul binary from a plain source tree. |
+| `run_comparison.sh` | All of the above, end to end, from two git refs. |
+
+## The gold set — 38 queries
+
+Built from the real corpus (`snapshot-pre-repair-20260806.json`, 78,768 nodes /
+14,214 edges) so it reflects one person's accumulating memory, not document QA.
+
+| Category | n | Expected answer derived by |
+|---|---|---|
+| `exact_rare` | 6 | **Mined.** Tokens with document frequency 1 across all 78,768 nodes, whose single containing node is a 300–6000 char Memory/Knowledge/Belief. That node is the only possible answer. Re-verified every build. |
+| `phrase` | 7 | **Mined.** Case-insensitive verbatim scan; the matching set *is* the answer key. Phrases matching >25 nodes are rejected as too diffuse. |
+| `paraphrase` | 13 | **Hand-selected, machine-checked.** Target locked by id; the build then proves that **zero** content words of the query appear anywhere in the target's label, content, or tags. A leak fails the build — the category cannot quietly decay into lexical matching. |
+| `associative` | 6 | **Derived from edges.** Query built from one value node's distinctive vocabulary; expected answers are its siblings on the `Self - Values (grounded)` hub. Siblings sharing any query word are dropped, so the only route from query to answer is seed -> hub -> sibling. |
+| `nonsense` | 3 | **Control.** Verified that no token occurs anywhere in the corpus. Correct behaviour is to return nothing. |
+| `superseded` | 3 | **Derived.** Correction/stale pairs located by regex scan, kept only when both sides resolve to different surviving nodes. Scored on **ranking**: the correction must be returned *and* rank above the stale node. |
+
+## Metrics
+
+`hit@5`, `recall@5`, `recall@10`, `precision@5` (fixed denominator 5, so an
+empty result is punished like a page of junk), `MRR@10`, and wall-clock latency
+per query (p50/p95/max). Output is a table plus a machine-readable JSON per run
+so runs can be diffed.
+
+## Honesty about noise
+
+- **Minimum detectable swing on this 38-query set: 6 queries.** If every query
+  that changes changes the same way, `p = 2 x 0.5^n`, which first drops under
+  0.05 at n=6. Any net change smaller than that is inside the noise band and
+  `compare.py` says so in those words.
+- **Run-to-run drift is measured, not assumed.** Activation is a stateful read
+  by design (traversal reinforces what it touches), so identical inputs need not
+  give identical outputs. Observed: `main` 0 queries of drift across 3 runs
+  (fully deterministic); the activation branch 1 query.
+- The noise floor used for the verdict is `max(6, observed_drift + 1)`.
+- **This gold set is underpowered for small effects.** A genuine 3-query
+  improvement would not clear the bar. Growing the set is the fix; until then, a
+  small positive delta means "not shown", not "no effect".
+
+## First result: `main` vs `feat/recall-through-activation`
+
+Corpus and gold set identical, three runs each, fresh corpus copy per run.
+
+| | main | recall-through-activation | delta |
+|---|---|---|---|
+| hit@5 | 34.3% | 22.9% | **-11.4pp** |
+| recall@5 | 26.9% | 19.1% | -7.9pp |
+| recall@10 | 33.3% | 24.3% | -9.1pp |
+| precision@5 | 12.0% | 7.4% | -4.6pp |
+| MRR@10 | 0.294 | 0.242 | -0.053 |
+| latency p50 | 1140 ms | 3209 ms | **2.81x** |
+| latency p95 | 1584 ms | 4852 ms | 3.06x |
+| nonsense clean | 2/3 | 2/3 | — |
+| superseded outranks | 1/3 | 0/3 | -1 |
+
+By category (hit@5):
+
+| category | main | activation |
+|---|---|---|
+| exact_rare | 100% | 100% |
+| phrase | 85.7% | **28.6%** |
+| paraphrase | 0% | 0% |
+| associative | 0% | 0% |
+| superseded | 0% | 0% |
+
+**Verdict: directionally worse, one query short of significant.** 5 discordant
+pairs, all 5 against the candidate, 0 for it. McNemar exact p = 0.0625 — under
+the stated rule that is *inside* the noise band, so the harness reports "no
+measurable difference" on accuracy and the honest summary is "5 for 5 the wrong
+way, needs a 6th or a larger gold set to call".
+
+Latency is a different story: 2.8x at p50 is deterministic and far outside any
+noise band. That regression is real.
+
+The result the branch was written for did not appear. Its stated purpose was to
+recover sibling nodes one hub-hop away — the `associative` category — and that
+category is **0/6 on both builds**. Probing directly: for the query
+`Marines hernia sepsis medical ward`, the activation build returns the lexical
+seed node itself at rank 8, and none of its 12 hub siblings anywhere in the top
+10. The traversal is running; it is not reaching siblings.
+
+Two corpus facts likely explain it, and both are measurable rather than
+speculative:
+
+1. **The graph is nearly edgeless.** Only 4,060 of 78,768 nodes (5.2%) carry any
+   edge at all — 14,214 edges total, 0.18 per node. Spreading activation over a
+   graph with no edges is an expensive way to do lexical matching, which is
+   roughly what the numbers show.
+2. **No embeddings.** No node in this snapshot has an embedding field, so the
+   fourth factor of the four-factor product — query/target cosine similarity —
+   has nothing to compute from, and the semantic seeding pass is inert.
+
+That is the harness earning its keep on its first job: the change would have
+felt like progress (it is the designed mechanism, and it does run) and measures
+as a regression on phrase queries plus a 2.8x latency cost, with its intended
+benefit unrealised because the corpus lacks the structure it needs.

tools/retrieval-eval/build-soul.sh

@@ -0,0 +1,44 @@
+#!/usr/bin/env bash
+# build-soul.sh — compile a soul binary from a plain source tree (no git needed).
+#
+# Reuses the amalgam recipe worked out in gen-soul-amalgam.sh (round 9.1) and the
+# compile flags from .gitea/workflows/ci.yaml, so the binary under test is the
+# same translation unit CI ships — not a re-implementation.
+#
+#   elc --target=c emits only an extern prototype for any module that has a .elh
+#   header beside it, and inlines the module's bodies when it does not. So the
+#   amalgam is produced in a scratch copy with every .elh on the import chain
+#   deleted.
+#
+# usage: build-soul.sh <src-tree-with-*.el> <out-binary>
+set -euo pipefail
+SRC="${1:?usage: build-soul.sh <src-tree> <out-binary>}"
+OUT="${2:?out-binary}"
+ELC="${ELC:-$HOME/neuron-dev-stack/src/el/lang/dist/platform/elc}"
+EL_REPO="${EL_REPO:-$HOME/Development/neuron-technologies/el}"
+RTDIR="${RTDIR:-$SRC/vendor/el-runtime/v1.0.0-20260501}"
+SSL="${SSL_PREFIX:-/opt/homebrew/opt/openssl@3}"
+
+[ -x "$ELC" ] || { echo "no elc at $ELC" >&2; exit 2; }
+[ -f "$RTDIR/el_runtime.c" ] || { echo "no el_runtime.c at $RTDIR" >&2; exit 2; }
+
+GEN="$(mktemp -d "${TMPDIR:-/tmp}/soul-build.XXXXXX")"
+trap 'rm -rf "$GEN"' EXIT
+mkdir -p "$GEN/neuron" "$GEN/foundation/el/elp/src"
+cp "$SRC"/*.el "$GEN/neuron/"
+cp "$EL_REPO"/elp/src/*.el "$GEN/foundation/el/elp/src/"
+find "$GEN" -name '*.elh' -delete
+
+( cd "$GEN/neuron" && "$ELC" --target=c soul.el ) > "$GEN/soul.c"
+BODIES=$(grep -c '^el_val_t .*) {$' "$GEN/soul.c" || true)
+echo "[build-soul] amalgam $(wc -c < "$GEN/soul.c" | tr -d ' ') bytes, ${BODIES} inlined bodies"
+[ "$BODIES" -ge 1200 ] || { echo "[build-soul] FAIL: only $BODIES bodies — an import was not inlined"; exit 1; }
+
+cc -O2 -DHAVE_CURL -rdynamic \
+   -I"$RTDIR" -I"$SSL/include" -L"$SSL/lib" \
+   "$GEN/soul.c" "$RTDIR/el_runtime.c" \
+   -lssl -lcrypto -lcurl -lpthread -lm \
+   -o "$OUT" 2> "$GEN/cc.log" || { echo "[build-soul] FAIL compile"; tail -40 "$GEN/cc.log"; exit 1; }
+if grep -qE 'implicit.*(engram_|el_)' "$GEN/cc.log"; then
+  echo "[build-soul] FAIL: implicit declarations of runtime symbols"; grep -E 'implicit' "$GEN/cc.log" | head; exit 1; fi
+echo "[build-soul] OK -> $OUT ($(wc -c < "$OUT" | tr -d ' ') bytes)"

tools/retrieval-eval/build_gold_set.py

@@ -0,0 +1,506 @@
+#!/usr/bin/env python3
+"""
+build_gold_set.py — derive the retrieval gold set FROM the corpus, and validate it.
+
+WHY THIS FILE EXISTS AS CODE AND NOT AS A HAND-WRITTEN JSON
+    A gold set nobody can audit is vibes with extra steps. Every expected answer
+    here is either (a) mined from the corpus by a rule this script re-runs, or
+    (b) hand-selected with a stated criterion that this script then CHECKS
+    against the corpus. Both leave a `derivation` string on every query, and the
+    checks are re-run on demand so the set cannot silently rot as the corpus
+    changes.
+
+    Lineage: this extends the pinned-query approach from
+    docs/research-archive/p0-prototypes/eval_pinned_40q_20260715.py (pinned
+    ground-truth patterns + a --check "winnability" gate) and the per-query
+    relevant-id scoring from docs/research/graphrag_eval/score.py. What is new:
+    ids as ground truth rather than regexes alone, an ASSOCIATIVE category
+    derived from real graph edges, a superseded/contradicted category, and a
+    machine-checked no-lexical-overlap guarantee on the paraphrase category.
+
+THE SIX CATEGORIES, AND WHAT EACH ONE IS FOR
+    exact_rare   a single rare word. Substring matching already wins these.
+                 They are a REGRESSION GUARD: any change that loses them is
+                 disqualified regardless of what else it gains.
+    phrase       a multi-word string that exists verbatim in the corpus.
+                 Guards multi-token queries, which the old substring matcher
+                 handled by returning nothing.
+    paraphrase   same meaning, ZERO shared content words with the target node.
+                 THE CATEGORY THAT MATTERS. Mechanically unreachable by string
+                 matching; reachable only by semantics or by association.
+    associative  the answer is one hub-hop from an obvious starting point and
+                 shares no words with the query. This is the case the graph is
+                 supposed to buy: query one value, get its siblings.
+    nonsense     must return nothing. Guards against a retriever that "improves"
+                 recall by returning the whole graph.
+    superseded   a fact that was later corrected. The correction must OUTRANK
+                 the stale version — ranking, not mere presence.
+
+usage:
+    python3 build_gold_set.py <snapshot.json> [--out gold_set.json] [--check]
+    --check re-validates an existing gold_set.json against the corpus and exits
+    non-zero if any query became unwinnable or any paraphrase leaked a word.
+"""
+import argparse
+import json
+import os
+import re
+import sys
+from collections import Counter, defaultdict
+
+HERE = os.path.dirname(os.path.abspath(__file__))
+DEFAULT_OUT = os.path.join(HERE, "gold_set.json")
+
+TOKEN = re.compile(r"[a-z0-9][a-z0-9\-']*")
+
+# Stopwords are deliberately generous. A paraphrase query is only interesting if
+# its CONTENT words are absent from the target; "the", "is", "what" appearing in
+# both proves nothing. Being generous here makes the overlap test STRICTER on
+# the words that carry meaning, which is the conservative direction.
+STOP = set("""
+a about above after again against all also am an and any are aren't as at be because been
+before being below between both but by can can't cannot could couldn't did didn't do does
+doesn't doing don't down during each few for from further had hadn't has hasn't have haven't
+having he her here hers herself him himself his how i if in into is isn't it its itself just
+me more most my myself no nor not of off on once only or other others ought our ours ourselves
+out over own same shan't she should shouldn't so some such than that the their theirs them
+themselves then there these they this those through to too under until up very was wasn't we
+were weren't what when where which while who whom why will with won't would wouldn't you your
+yours yourself yourselves get gets got make makes made take takes use uses used way ways thing
+things does doing done keep keeps kept go goes going come comes came one two something anything
+""".split())
+
+
+# ─────────────────────────────────────────────────────────────────────────────
+# corpus helpers
+# ─────────────────────────────────────────────────────────────────────────────
+def load_corpus(path):
+    with open(path, encoding="utf-8", errors="replace") as fh:
+        data = json.load(fh)
+    nodes = [n for n in data.get("nodes", []) if isinstance(n, dict) and n.get("id")]
+    edges = [e for e in data.get("edges", []) if isinstance(e, dict)]
+    return nodes, edges
+
+
+def doctext(n):
+    return " ".join([str(n.get("label") or ""), str(n.get("content") or ""), str(n.get("tags") or "")])
+
+
+def content_tokens(s):
+    return {t for t in TOKEN.findall(s.lower()) if t not in STOP and len(t) > 2}
+
+
+# ─────────────────────────────────────────────────────────────────────────────
+# hand-authored queries. Every entry states HOW its expected answer was chosen.
+# The `check` field names the validation this script runs against the corpus.
+# ─────────────────────────────────────────────────────────────────────────────
+
+# EXACT_RARE — mined, not chosen. The rule (re-run by mine_exact_rare below):
+# tokens whose document frequency across the whole corpus is 1, whose single
+# containing node is a Memory/Knowledge/Belief with 300-6000 chars of content
+# (so the answer is a real memory, not a 117KB whitepaper that contains every
+# word in English), and whose token is plain lowercase alphabetic. The expected
+# answer is that one node — it is the only node that can possibly be correct.
+EXACT_RARE_SEEDS = [
+    "unjailbreakable",
+    "engram-migrate",
+    "cartabandonedevent",
+    "pre-apprenticeship",
+    "inferencenodemanager",
+    "clear-eyed",
+]
+
+# PHRASE — chosen by reading the corpus for phrases that (a) occur verbatim,
+# (b) occur in a small enough set of nodes that "relevant" is well defined.
+# Expected answers are computed here as EVERY node whose text contains the
+# phrase case-insensitively — so the answer set is a fact about the corpus, not
+# an opinion. Queries whose phrase matches more than PHRASE_MAX nodes are
+# rejected by validation as too diffuse to score.
+PHRASE_MAX = 25
+PHRASE_SEEDS = [
+    ("patterns not returns",
+     "a verbatim correction Will issued; expected = every node containing the phrase"),
+    ("thirty moves",
+     "the canonical biographical phrase; expected = every node containing it"),
+    ("Grandma Lucas",
+     "a named person appearing verbatim in the biography/value nodes"),
+    ("Directed Harmonic",
+     "the canonical DHARMA expansion, confirmed by Will April 24 2026"),
+    ("Sarah Bishop",
+     "a named person; rare enough that the answer set is unambiguous"),
+    ("Directed Autonomous Runtime Modification",
+     "the DARMA expansion, quoted verbatim in the backlog item and its correction"),
+    ("zero-knowledge encrypted backup",
+     "the paid-tier feature name as written in the roadmap nodes"),
+]
+
+# PARAPHRASE — hand-authored. THE SELECTION CRITERION, stated once and applied
+# to all nine: pick a node whose SUBJECT is unmistakable to a reader, then write
+# the query a person would actually type when they remember the subject but not
+# the words. The target is then LOCKED by id, and this script enforces the hard
+# property that makes the category meaningful: not one content word of the query
+# appears anywhere in the target node's label, content, or tags. If a word
+# leaks, validation fails and the query must be rewritten — the set cannot
+# quietly degrade into a lexical query wearing a paraphrase costume.
+PARAPHRASE_SEEDS = [
+    ("kn-a99cefe3-5e83-4050-98d8-6c69f57c7c71",
+     "the elderly relative who passed while he stayed away",
+     "target: 'Value - Do the Essential Thing While You Can', whose subject is Grandma Lucas "
+     "dying in Feb 2006 without Will saying goodbye. Query names the event with none of the "
+     "node's own vocabulary."),
+    ("kn-58874a74-b96f-4883-9e08-45707f4bd3ee",
+     "a soldier sidelined by illness who refused to quit",
+     "target: 'Value - Survival Is Not an Excuse to Stop', whose subject is enlisting in the "
+     "Marines, a severe hernia, and sepsis. Query describes the episode obliquely."),
+    ("kn-13f60407-7b70-4db1-964f-ea1f8196efbd",
+     "choosing an uncomfortable fact over a pleasant fiction",
+     "target: 'Value - Honesty Before Comfort'. Query states the principle in wholly "
+     "different words."),
+    ("kn-22d77abe-b3c5-42fd-afcd-dcb87d924929",
+     "a tight payload beats a bloated one",
+     "target: 'Value - Precision Over Brute Force'. Query restates the claim with no "
+     "shared vocabulary."),
+    ("kn-eb1b9e18-3dc6-4b9b-9cc6-86e0ae6b6be8",
+     "if you are able and nobody is coming the job is yours",
+     "target: 'Value - Capability Is a Debt You Owe the Moment'. Query states the "
+     "obligation without the node's terms."),
+    ("kn-0bb4f021-56de-4947-a35b-a37209e7ba21",
+     "learning is the wealth creditors cannot seize",
+     "target: 'Value - Knowledge Survives When Nothing Else Does', whose subject is the "
+     "library following Will across 30+ moves."),
+    ("kn-5de5a9ac-fd15-45ab-bf18-77566781cf40",
+     "reliability proven by track record not assertion",
+     "target: 'Value - Earned Trust' ('Trust is demonstrated, not declared')."),
+    ("kn-a5b3d0ac-f6a1-49a4-aebb-b8b4cd67fe83",
+     "boundaries that enable instead of confine",
+     "target: 'Value - Constraints as Freedom'. Query is a restatement of the same claim."),
+    ("kn-78db5396-3dbc-4481-bfc7-e4e1422feb1c",
+     "what shifts tells you where to cut a system apart",
+     "target: 'Value - Change Is the Signal', the value VBD is built on."),
+    ("kn-f230b362-b201-4402-9833-4160c89ab3d4",
+     "a mind that compounds instead of resetting each day",
+     "target: 'Value - The System Must Accumulate'. Query is the accumulation claim in "
+     "different vocabulary."),
+    ("kn-db9f141b-dbe3-4037-92e0-4bb9be0e5e6e",
+     "loved for the unedited self and not the polished exterior",
+     "target: 'Value - Being Seen Is Rarer Than Being Known', whose subject is Sarah Bishop "
+     "as the first person Will did not perform for."),
+    ("kn-e0423482-cfa5-4796-8689-8495c93b66bc",
+     "cheerfulness you arrive at instead of assuming",
+     "target: 'Value - Hope Is a Conclusion'. Query restates 'a conclusion, not a premise'."),
+    ("kn-6061318f-046b-4935-907d-8eafdce14930",
+     "a childhood offering no solid foundation to inherit",
+     "target: 'Value - Structure Is Not Inherited', whose subject is thirty moves between "
+     "two parents' collapses."),
+]
+
+# ASSOCIATIVE — derived from real edges, not authored. The construction:
+# every value node hangs off the 'Self - Values (grounded)' hub by an `identity`
+# edge. For a chosen value node V, the query is built from V's own distinctive
+# vocabulary; the expected answers are V's SIBLINGS on that hub. A sibling
+# shares no query words with the query by construction (validated below), so the
+# only path from the query to a sibling is: lexical seed on V -> hub -> sibling.
+# That is a two-hop traversal and nothing else can produce it.
+VALUES_HUB = "kn-5b606390-a52d-4ca2-8e0e-eba141d13440"
+ASSOCIATIVE_SEEDS = [
+    ("kn-a99cefe3-5e83-4050-98d8-6c69f57c7c71", "Grandma Lucas stroke February 2006 goodbye window"),
+    ("kn-58874a74-b96f-4883-9e08-45707f4bd3ee", "Marines hernia sepsis medical ward"),
+    ("kn-db9f141b-dbe3-4037-92e0-4bb9be0e5e6e", "Sarah Bishop Dyer trailer performance"),
+    ("kn-a5b3d0ac-f6a1-49a4-aebb-b8b4cd67fe83", "Swarm Architecture containment lateral worker"),
+    ("kn-e0423482-cfa5-4796-8689-8495c93b66bc", "hope won inside the narrative preface"),
+    ("kn-eb1b9e18-3dc6-4b9b-9cc6-86e0ae6b6be8", "man of the house six years old expectation"),
+]
+
+# NONSENSE — must return nothing. Strings chosen to be lexically impossible:
+# validation asserts each appears in ZERO corpus nodes as a substring and that
+# none of its tokens appears anywhere either (so not even a partial seed exists).
+NONSENSE_SEEDS = [
+    "zqxjvw plimforth grebulon",
+    "flarnbistle quommetry",
+    "xxqzzt vurblenacht throom",
+]
+
+# SUPERSEDED — a fact that was corrected. Chosen by searching the corpus for
+# explicit correction language and keeping pairs where BOTH the stale statement
+# and its correction exist as separate nodes. Scored on RANKING: the correction
+# must appear, and must appear above the stale node. Ids are locked here and
+# validated to exist and to match their stated role.
+SUPERSEDED_SEEDS = [
+    # (query, correct_id, stale_id, derivation)
+]
+
+
+# ─────────────────────────────────────────────────────────────────────────────
+# mining
+# ─────────────────────────────────────────────────────────────────────────────
+def mine_exact_rare(nodes, byid, seeds):
+    """Re-derive: confirm each seed token still has df==1 and name its node."""
+    tok = re.compile(r"[A-Za-z][A-Za-z0-9\-]{4,}")
+    want = set(seeds)
+    df = Counter()
+    post = defaultdict(set)
+    for n in nodes:
+        for t in {w.lower() for w in tok.findall(doctext(n))}:
+            if t in want:
+                df[t] += 1
+                post[t].add(n["id"])
+    out = []
+    for s in seeds:
+        ids = sorted(post.get(s, ()))
+        out.append((s, ids, df.get(s, 0)))
+    return out
+
+
+def phrase_matches(nodes, phrase):
+    p = phrase.lower()
+    return sorted(n["id"] for n in nodes if p in doctext(n).lower())
+
+
+def hub_siblings(edges, hub, relation="identity"):
+    sibs = []
+    for e in edges:
+        if e.get("from_id") == hub and e.get("relation") == relation:
+            sibs.append(e["to_id"])
+        elif e.get("to_id") == hub and e.get("relation") == relation:
+            sibs.append(e["from_id"])
+    return list(dict.fromkeys(sibs))
+
+
+def find_superseded_pairs(nodes, byid):
+    """Locked pairs, each verified here to exist and to carry its stated marker.
+
+    Chosen by scanning the corpus for explicit correction language
+    (CORRECTION/SUPERSEDES/re-corrected/no longer/RECONCILED) and keeping only
+    cases where the STALE claim also survives as its own node — a supersession
+    with nothing to outrank is not a ranking test.
+    """
+    pairs = []
+    txt = {n["id"]: doctext(n) for n in nodes}
+
+    def find_one(pattern, exclude=()):
+        rx = re.compile(pattern)
+        return [n["id"] for n in nodes
+                if n["id"] not in exclude
+                and rx.search(txt[n["id"]])
+                and 150 < len(str(n.get("content") or "")) < 12000
+                and n.get("node_type") in ("Memory", "Knowledge", "Belief", "BacklogItem")]
+
+    # Each entry: (query, correction-pattern, stale-pattern, why).
+    # The stale side is searched with the correction hits EXCLUDED, because most
+    # correction memories quote the claim they are killing — without the
+    # exclusion the "stale" node resolves to the correction itself and the pair
+    # collapses into a no-op. A pair is only emitted if both sides resolve to
+    # DIFFERENT surviving nodes; otherwise it is dropped and reported.
+    SPECS = [
+        ("is the self-improvement architecture called DARMA or DHARMA",
+         r'(?i)CORRECTION:.{0,90}DHARMA .{0,12}not DARMA',
+         r'(?i)\bDARMA\b',
+         "correction node is Will's confirmation that the H is intentional (DHARMA, not DARMA); "
+         "the stale node is the surviving backlog item still titled 'Implement DARMA'."),
+
+        ("how many provisional patents does Will actually have",
+         r'(?i)EXACTLY 6 (fully-specced )?provisional',
+         r'(?i)(MY ARCHITECTURE = 12 filed patents|\b12 filed patents\b)',
+         "correction node is the 2026-06-17 confabulation flag establishing EXACTLY 6 provisionals; "
+         "the stale node is the surviving memory that asserts 12 filed patents."),
+
+        ("is MCP still the live integration layer",
+         r'(?i)MCP RETIRED',
+         r'(?i)MCP server live at',
+         "correction node is the 'CGI ARCHITECTURE - THREE LAYERS, MCP RETIRED' decision of "
+         "April 30 2026; the stale node still records the MCP server as live."),
+
+        ("what does the patterns-not-returns directive mean",
+         r'(?i)CORRECTION:.{0,80}patterns not returns',
+         r'(?i)established returns',
+         "correction node is Will's 'patterns not returns' correction; the stale node is a "
+         "surviving node carrying the misread 'established returns' directive."),
+
+        ("was the earlier identity-bug finding correct",
+         r'(?i)SUPERSEDES the earlier .critical identity bug',
+         r'(?i)critical identity bug',
+         "correction node explicitly supersedes the 'critical identity bug' finding; the stale "
+         "node is the surviving original finding."),
+
+        ("does Neuron have recursive self-improvement",
+         r'(?i)twice answered .Neuron has no recursive self-improvement',
+         r'(?i)no recursive self-improvement',
+         "correction node records the June-29 finding that the CGI provisional IS the "
+         "recursive-self-improvement mechanism; the stale node is the surviving denial."),
+    ]
+
+    for query, cpat, spat, why in SPECS:
+        corr = find_one(cpat)
+        if not corr:
+            continue
+        stale = find_one(spat, exclude=set(corr))
+        if not stale:
+            continue
+        pairs.append((query, corr[0], stale[0], why))
+
+    return pairs
+
+
+# ─────────────────────────────────────────────────────────────────────────────
+# build
+# ─────────────────────────────────────────────────────────────────────────────
+def build(nodes, edges):
+    byid = {n["id"]: n for n in nodes}
+    tokset = {n["id"]: content_tokens(doctext(n)) for n in nodes}
+    queries = []
+    problems = []
+    qn = [0]
+
+    def add(cat, query, relevant, derivation, **extra):
+        qn[0] += 1
+        q = {
+            "id": f"q{qn[0]:02d}",
+            "category": cat,
+            "query": query,
+            "relevant": sorted(relevant),
+            "derivation": derivation,
+        }
+        q.update(extra)
+        queries.append(q)
+        return q
+
+    # --- exact_rare ---------------------------------------------------------
+    for tokname, ids, df in mine_exact_rare(nodes, byid, EXACT_RARE_SEEDS):
+        if df != 1 or len(ids) != 1:
+            problems.append(f"exact_rare '{tokname}': df={df}, ids={len(ids)} (expected df=1)")
+            continue
+        lab = (byid[ids[0]].get("label") or "")[:60]
+        add("exact_rare", tokname, ids,
+            f"MINED: token '{tokname}' has document frequency 1 over all {len(nodes)} corpus nodes "
+            f"(re-verified at build time). Its single containing node is {ids[0]} "
+            f"('{lab}'), which is therefore the only possible correct answer.")
+
+    # --- phrase -------------------------------------------------------------
+    for phrase, why in PHRASE_SEEDS:
+        ids = phrase_matches(nodes, phrase)
+        if not ids:
+            problems.append(f"phrase '{phrase}': 0 corpus matches — unwinnable")
+            continue
+        if len(ids) > PHRASE_MAX:
+            problems.append(f"phrase '{phrase}': {len(ids)} matches > {PHRASE_MAX} — too diffuse")
+            continue
+        add("phrase", phrase, ids,
+            f"MINED: {why}. Case-insensitive verbatim substring scan over label+content+tags at "
+            f"build time returns exactly {len(ids)} node(s); that set IS the answer key.")
+
+    # --- paraphrase ---------------------------------------------------------
+    for target, query, why in PARAPHRASE_SEEDS:
+        if target not in byid:
+            problems.append(f"paraphrase target {target} not in corpus")
+            continue
+        qt = content_tokens(query)
+        leak = sorted(qt & tokset[target])
+        if leak:
+            problems.append(f"paraphrase '{query}': leaks {leak} into target {target}")
+            continue
+        add("paraphrase", query, [target],
+            f"HAND-SELECTED with criterion: {why} VERIFIED at build time: of the {len(qt)} content "
+            f"words in the query, ZERO appear anywhere in the target's label, content, or tags — so "
+            f"no string-matching retriever can reach this answer.",
+            zero_overlap_verified=True, query_content_words=sorted(qt))
+
+    # --- associative --------------------------------------------------------
+    sibs = hub_siblings(edges, VALUES_HUB)
+    if len(sibs) < 5:
+        problems.append(f"associative: values hub {VALUES_HUB} has only {len(sibs)} siblings")
+    for src, query in ASSOCIATIVE_SEEDS:
+        if src not in byid or src not in sibs:
+            problems.append(f"associative source {src} not a sibling on {VALUES_HUB}")
+            continue
+        qt = content_tokens(query)
+        others = [s for s in sibs if s != src and s in byid]
+        # A sibling only counts as a legitimate expected answer if the query
+        # cannot reach it lexically. Drop any sibling that shares a content word.
+        clean = [s for s in others if not (qt & tokset[s])]
+        dropped = len(others) - len(clean)
+        if len(clean) < 5:
+            problems.append(f"associative '{query}': only {len(clean)} lexically-unreachable siblings")
+            continue
+        add("associative", query, clean,
+            f"DERIVED FROM EDGES: the query is built from the distinctive vocabulary of {src} "
+            f"('{(byid[src].get('label') or '')[:48]}'), which hangs off the values hub {VALUES_HUB} "
+            f"by an `identity` edge. Expected answers are that node's SIBLINGS on the same hub "
+            f"({len(clean)} of {len(others)}; {dropped} dropped because they shared a query word and "
+            f"so were lexically reachable). Every remaining sibling shares ZERO content words with "
+            f"the query — the only route from query to answer is seed({src}) -> hub -> sibling, a "
+            f"two-hop traversal.",
+            associative_source=src, hub=VALUES_HUB, siblings_dropped_for_overlap=dropped)
+
+    # --- nonsense -----------------------------------------------------------
+    all_tokens = set()
+    for n in nodes:
+        all_tokens |= {t for t in TOKEN.findall(doctext(n).lower())}
+    for s in NONSENSE_SEEDS:
+        present = sorted(t for t in TOKEN.findall(s.lower()) if t in all_tokens)
+        if present:
+            problems.append(f"nonsense '{s}': tokens {present} DO occur in corpus")
+            continue
+        add("nonsense", s, [],
+            f"CONTROL: verified at build time that none of this string's tokens occurs anywhere in "
+            f"the corpus. Correct behaviour is to return NOTHING; any result is a false positive.",
+            expect_empty=True)
+
+    # --- superseded ---------------------------------------------------------
+    for query, correct, stale, why in find_superseded_pairs(nodes, byid):
+        if correct not in byid or stale not in byid:
+            problems.append(f"superseded '{query}': id missing from corpus")
+            continue
+        add("superseded", query, [correct],
+            f"DERIVED: {why} Scored on RANKING, not presence: the corrected node {correct} must be "
+            f"returned AND must rank above the stale node {stale}.",
+            must_outrank=[correct, stale],
+            stale_id=stale,
+            correct_label=(byid[correct].get("label") or "")[:70],
+            stale_label=(byid[stale].get("label") or "")[:70])
+
+    return queries, problems
+
+
+def summarize(queries):
+    c = Counter(q["category"] for q in queries)
+    return ", ".join(f"{k}={c[k]}" for k in
+                     ("exact_rare", "phrase", "paraphrase", "associative", "nonsense", "superseded")
+                     if c[k])
+
+
+def main():
+    ap = argparse.ArgumentParser()
+    ap.add_argument("snapshot")
+    ap.add_argument("--out", default=DEFAULT_OUT)
+    ap.add_argument("--check", action="store_true",
+                    help="validate only; do not write. Non-zero exit if anything is unwinnable.")
+    args = ap.parse_args()
+
+    nodes, edges = load_corpus(args.snapshot)
+    print(f"corpus: {len(nodes)} nodes, {len(edges)} edges  ({os.path.basename(args.snapshot)})")
+    queries, problems = build(nodes, edges)
+
+    print(f"gold set: {len(queries)} queries  [{summarize(queries)}]")
+    if problems:
+        print(f"\n{len(problems)} PROBLEM(S) — these queries were REJECTED, not silently kept:")
+        for p in problems:
+            print("   -", p)
+
+    if args.check:
+        sys.exit(1 if problems else 0)
+
+    doc = {
+        "corpus": os.path.abspath(args.snapshot),
+        "corpus_nodes": len(nodes),
+        "corpus_edges": len(edges),
+        "note": ("Every query carries a `derivation` recording how its expected answer was chosen. "
+                 "Re-run with --check to re-validate the whole set against the corpus."),
+        "queries": queries,
+    }
+    with open(args.out, "w", encoding="utf-8") as fh:
+        json.dump(doc, fh, indent=1, ensure_ascii=False)
+    print(f"\nwrote {args.out}")
+
+
+if __name__ == "__main__":
+    main()

tools/retrieval-eval/compare.py

@@ -0,0 +1,210 @@
+#!/usr/bin/env python3
+"""
+compare.py — diff two run_eval.py result files, WITH a noise threshold.
+
+WHY THE STATISTICS ARE NOT OPTIONAL
+    With ~35 scored queries, one query is ~2.9 percentage points. A harness that
+    reports "hit@5 improved 2.9%" without saying that is one query is a harness
+    that will approve noise. So this file refuses to call anything an
+    improvement on the strength of the headline number alone. It reports:
+
+      1. The DISCORDANT PAIRS. Two configurations scored on the same queries are
+         paired data, so the only queries carrying information are the ones
+         where they disagree: b = fixed by B, c = broken by B. Queries both got
+         right, or both got wrong, tell you nothing about which is better.
+
+      2. McNEMAR'S EXACT TEST on (b, c). Under the null "the change is a coin
+         flip", the discordant outcomes are Binomial(b+c, 0.5). The two-sided
+         exact p-value is computed here with no scipy dependency.
+
+      3. The MINIMUM DETECTABLE SWING for this gold set: the smallest number of
+         net-changed queries that would reach p < 0.05 if every discordant pair
+         fell the same way. Anything smaller is inside the noise band, and the
+         verdict line says so in those words.
+
+    Repeat-run variance is the other half of honesty. Spreading activation is a
+    stateful read (it reinforces what it touches), so identical inputs need not
+    give identical outputs. Pass --repeats to fold several runs of the same
+    config into an observed variance band; a delta inside that band is not real
+    either, however good its p-value looks.
+
+usage:
+  python3 compare.py --baseline results-main.json --candidate results-act.json
+  python3 compare.py --baseline a.json --candidate b.json \
+      --repeats-baseline a2.json a3.json --repeats-candidate b2.json b3.json
+"""
+import argparse
+import json
+from math import comb
+
+
+def binom_two_sided(b, c):
+    """Two-sided exact binomial p for b successes in n=b+c at p=0.5."""
+    n = b + c
+    if n == 0:
+        return 1.0
+    k = min(b, c)
+    tail = sum(comb(n, i) for i in range(0, k + 1)) / (2 ** n)
+    return min(1.0, 2 * tail)
+
+
+def min_detectable_swing(n_scored, alpha=0.05):
+    """Smallest all-one-way discordant count reaching p < alpha.
+
+    If every query that changes changes in the same direction, the p-value is
+    2 * 0.5**n. Solve for the smallest n where that drops under alpha. This is
+    the FLOOR: any real change will have some discordance both ways, so the true
+    requirement is larger. Reporting the floor is the conservative move — it is
+    the most generous threshold we would ever accept.
+    """
+    n = 1
+    while n <= n_scored:
+        if 2 * (0.5 ** n) < alpha:
+            return n
+        n += 1
+    return n_scored
+
+
+def load(path):
+    with open(path, encoding="utf-8") as fh:
+        return json.load(fh)
+
+
+def row_map(doc):
+    return {r["id"]: r for r in doc["rows"]}
+
+
+def outcome(r):
+    """Binary per-query outcome used for the paired test.
+
+    hit@5 for scored queries; 'returned nothing' for the nonsense controls;
+    'correction outranks the stale node' for the superseded queries. One number
+    per query, so every query votes exactly once.
+    """
+    if "clean" in r:
+        return 1.0 if r["clean"] else 0.0
+    if "outranks" in r:
+        return 1.0 if r["outranks"] else 0.0
+    return r.get("hit@5") or 0.0
+
+
+def band(values):
+    return (min(values), max(values))
+
+
+def main():
+    ap = argparse.ArgumentParser()
+    ap.add_argument("--baseline", required=True)
+    ap.add_argument("--candidate", required=True)
+    ap.add_argument("--repeats-baseline", nargs="*", default=[])
+    ap.add_argument("--repeats-candidate", nargs="*", default=[])
+    ap.add_argument("--out", default=None)
+    args = ap.parse_args()
+
+    A, B = load(args.baseline), load(args.candidate)
+    ra, rb = row_map(A), row_map(B)
+    ids = [q for q in ra if q in rb]
+    n = len(ids)
+
+    aa, ab = A["aggregate"], B["aggregate"]
+    print(f"baseline  {A['label']:14} soul={A['soul_md5'][:12]}  {n} shared queries")
+    print(f"candidate {B['label']:14} soul={B['soul_md5'][:12]}")
+    print(f"corpus    {A['corpus_nodes']} nodes / {A['corpus_edges']} edges "
+          f"(identical copy for both runs)\n")
+
+    metrics = [("hit@5", 1), ("recall@5", 1), ("recall@10", 1),
+               ("precision@5", 1), ("mrr@10", 0)]
+    print(f"  {'metric':14} {'baseline':>10} {'candidate':>10} {'delta':>10}")
+    for m, as_pct in metrics:
+        x, y = aa[m], ab[m]
+        if as_pct:
+            print(f"  {m:14} {100*x:>9.1f}% {100*y:>9.1f}% {100*(y-x):>+9.1f}pp")
+        else:
+            print(f"  {m:14} {x:>10.3f} {y:>10.3f} {y-x:>+10.3f}")
+    for m in ("latency_ms_p50", "latency_ms_p95"):
+        x, y = aa[m], ab[m]
+        ratio = f"{y/x:.2f}x" if x else "n/a"
+        print(f"  {m:14} {x:>9.0f}ms {y:>9.0f}ms {ratio:>10}")
+    print(f"  {'nonsense':14} {aa['nonsense_clean']:>10} {ab['nonsense_clean']:>10}")
+    print(f"  {'outranks':14} {aa['superseded_outranks']:>10} {ab['superseded_outranks']:>10}")
+
+    print(f"\n  {'category':14} {'n':>3} {'base hit@5':>11} {'cand hit@5':>11} {'delta':>9}")
+    for c in sorted(set(aa["by_category"]) & set(ab["by_category"])):
+        ea, eb = aa["by_category"][c], ab["by_category"][c]
+        if c == "nonsense":
+            print(f"  {c:14} {ea['n']:>3} {'clean ' + str(ea['clean']):>11} "
+                  f"{'clean ' + str(eb['clean']):>11}")
+        else:
+            print(f"  {c:14} {ea['n']:>3} {100*ea['hit@5']:>10.1f}% {100*eb['hit@5']:>10.1f}% "
+                  f"{100*(eb['hit@5']-ea['hit@5']):>+8.1f}pp")
+
+    # ---- paired significance -------------------------------------------------
+    fixed, broken = [], []
+    for q in ids:
+        oa, ob = outcome(ra[q]), outcome(rb[q])
+        if ob > oa:
+            fixed.append(q)
+        elif ob < oa:
+            broken.append(q)
+    b, c = len(fixed), len(broken)
+    p = binom_two_sided(b, c)
+    mds = min_detectable_swing(n)
+
+    print(f"\n== paired comparison over {n} queries ==")
+    print(f"  fixed by candidate : {b}  {[ra[q]['category'] + ':' + q for q in fixed]}")
+    print(f"  broken by candidate: {c}  {[ra[q]['category'] + ':' + q for q in broken]}")
+    print(f"  discordant pairs   : {b + c}   net {b - c:+d} queries")
+    print(f"  McNemar exact p    : {p:.4f}")
+    print(f"  noise threshold    : a difference needs at least {mds} queries moving the "
+          f"same way to clear p<0.05 on this {n}-query set")
+
+    # ---- repeat-run variance -------------------------------------------------
+    var = {}
+    for name, paths, first in (("baseline", args.repeats_baseline, A),
+                               ("candidate", args.repeats_candidate, B)):
+        docs = [first] + [load(p) for p in paths]
+        if len(docs) > 1:
+            hits = [d["aggregate"]["hit@5"] for d in docs]
+            lo, hi = band(hits)
+            spread_q = round((hi - lo) * first["aggregate"]["n_scored"])
+            var[name] = {"runs": len(docs), "hit@5_min": lo, "hit@5_max": hi,
+                         "spread_queries": spread_q}
+            print(f"  {name} repeat runs ({len(docs)}): hit@5 {100*lo:.1f}%..{100*hi:.1f}% "
+                  f"= {spread_q} query of run-to-run drift")
+
+    drift = max([v["spread_queries"] for v in var.values()], default=0)
+    floor = max(mds, drift + 1)
+
+    print("\n== VERDICT ==")
+    net = b - c
+    if abs(net) < floor:
+        print(f"  NO MEASURABLE DIFFERENCE. Net {net:+d} queries is inside the noise band "
+              f"(needs |net| >= {floor}: {mds} for significance, {drift} observed run-to-run drift).")
+    elif net > 0:
+        print(f"  CANDIDATE BETTER by {net} queries (p={p:.4f}), outside the noise band "
+              f"(>= {floor}).")
+    else:
+        print(f"  CANDIDATE WORSE by {abs(net)} queries (p={p:.4f}), outside the noise band "
+              f"(>= {floor}).")
+
+    if args.out:
+        with open(args.out, "w", encoding="utf-8") as fh:
+            json.dump({
+                "baseline": A["label"], "candidate": B["label"],
+                "n_shared_queries": n,
+                "fixed_by_candidate": fixed, "broken_by_candidate": broken,
+                "discordant": b + c, "net_queries": net,
+                "mcnemar_exact_p": p,
+                "min_detectable_swing_queries": mds,
+                "observed_run_to_run_drift_queries": drift,
+                "noise_floor_queries": floor,
+                "verdict": ("no measurable difference" if abs(net) < floor
+                            else ("candidate better" if net > 0 else "candidate worse")),
+                "baseline_aggregate": aa, "candidate_aggregate": ab,
+                "repeat_variance": var,
+            }, fh, indent=1)
+        print(f"\nwrote {args.out}")
+
+
+if __name__ == "__main__":
+    main()

tools/retrieval-eval/comparison-main-vs-recall-through-activation.json

@@ -0,0 +1,150 @@
+{
+ "baseline": "main-r1",
+ "candidate": "act-r1",
+ "n_shared_queries": 38,
+ "fixed_by_candidate": [],
+ "broken_by_candidate": [
+  "q07",
+  "q11",
+  "q12",
+  "q13",
+  "q36"
+ ],
+ "discordant": 5,
+ "net_queries": -5,
+ "mcnemar_exact_p": 0.0625,
+ "min_detectable_swing_queries": 6,
+ "observed_run_to_run_drift_queries": 1,
+ "noise_floor_queries": 6,
+ "verdict": "no measurable difference",
+ "baseline_aggregate": {
+  "n_queries": 38,
+  "n_scored": 35,
+  "hit@5": 0.34285714285714286,
+  "recall@5": 0.26947278911564626,
+  "recall@10": 0.3333333333333333,
+  "precision@5": 0.12000000000000001,
+  "mrr@10": 0.2943197278911564,
+  "nonsense_clean": "2/3",
+  "superseded_outranks": "1/3",
+  "latency_ms_p50": 1140.4,
+  "latency_ms_p95": 1584.1,
+  "latency_ms_max": 1627.6,
+  "errors": 0,
+  "by_category": {
+   "associative": {
+    "n": 6,
+    "hit@5": 0.0,
+    "recall@5": 0.0,
+    "recall@10": 0.0,
+    "mrr@10": 0.0
+   },
+   "exact_rare": {
+    "n": 6,
+    "hit@5": 1.0,
+    "recall@5": 1.0,
+    "recall@10": 1.0,
+    "mrr@10": 1.0
+   },
+   "nonsense": {
+    "n": 3,
+    "clean": 2,
+    "avg_false_positives": 3.3333333333333335
+   },
+   "paraphrase": {
+    "n": 13,
+    "hit@5": 0.0,
+    "recall@5": 0.0,
+    "recall@10": 0.0,
+    "mrr@10": 0.0
+   },
+   "phrase": {
+    "n": 7,
+    "hit@5": 0.8571428571428571,
+    "recall@5": 0.4902210884353741,
+    "recall@10": 0.6666666666666666,
+    "mrr@10": 0.5965986394557822
+   },
+   "superseded": {
+    "n": 3,
+    "hit@5": 0.0,
+    "recall@5": 0.0,
+    "recall@10": 0.3333333333333333,
+    "mrr@10": 0.041666666666666664,
+    "outranks": 1
+   }
+  }
+ },
+ "candidate_aggregate": {
+  "n_queries": 38,
+  "n_scored": 35,
+  "hit@5": 0.22857142857142856,
+  "recall@5": 0.19087301587301586,
+  "recall@10": 0.24277210884353742,
+  "precision@5": 0.07428571428571429,
+  "mrr@10": 0.24154195011337865,
+  "nonsense_clean": "2/3",
+  "superseded_outranks": "0/3",
+  "latency_ms_p50": 3208.8,
+  "latency_ms_p95": 4851.9,
+  "latency_ms_max": 5078.8,
+  "errors": 0,
+  "by_category": {
+   "associative": {
+    "n": 6,
+    "hit@5": 0.0,
+    "recall@5": 0.0,
+    "recall@10": 0.0,
+    "mrr@10": 0.0
+   },
+   "exact_rare": {
+    "n": 6,
+    "hit@5": 1.0,
+    "recall@5": 1.0,
+    "recall@10": 1.0,
+    "mrr@10": 1.0
+   },
+   "nonsense": {
+    "n": 3,
+    "clean": 2,
+    "avg_false_positives": 2.6666666666666665
+   },
+   "paraphrase": {
+    "n": 13,
+    "hit@5": 0.0,
+    "recall@5": 0.0,
+    "recall@10": 0.0,
+    "mrr@10": 0.0
+   },
+   "phrase": {
+    "n": 7,
+    "hit@5": 0.2857142857142857,
+    "recall@5": 0.09722222222222222,
+    "recall@10": 0.3567176870748299,
+    "mrr@10": 0.3505668934240363
+   },
+   "superseded": {
+    "n": 3,
+    "hit@5": 0.0,
+    "recall@5": 0.0,
+    "recall@10": 0.0,
+    "mrr@10": 0.0,
+    "outranks": 0
+   }
+  }
+ },
+ "repeat_variance": {
+  "baseline": {
+   "runs": 3,
+   "hit@5_min": 0.34285714285714286,
+   "hit@5_max": 0.34285714285714286,
+   "spread_queries": 0
+  },
+  "candidate": {
+   "runs": 3,
+   "hit@5_min": 0.22857142857142856,
+   "hit@5_max": 0.2571428571428571,
+   "spread_queries": 1
+  }
+ }
+}

tools/retrieval-eval/comparison-main-vs-stack-ext.json

@@ -0,0 +1,166 @@
+{
+ "baseline": "main-ext",
+ "candidate": "stack-ext",
+ "n_shared_queries": 75,
+ "fixed_by_candidate": [
+  "q10",
+  "q15",
+  "q16",
+  "q18",
+  "q19",
+  "q20",
+  "q21",
+  "q22",
+  "q26",
+  "q27",
+  "q28",
+  "q29",
+  "q31",
+  "q35",
+  "q37",
+  "q40",
+  "q44",
+  "q48",
+  "q49",
+  "q50"
+ ],
+ "broken_by_candidate": [],
+ "discordant": 20,
+ "net_queries": 20,
+ "mcnemar_exact_p": 1.9073486328125e-06,
+ "min_detectable_swing_queries": 6,
+ "observed_run_to_run_drift_queries": 0,
+ "noise_floor_queries": 6,
+ "verdict": "candidate better",
+ "baseline_aggregate": {
+  "n_queries": 75,
+  "n_scored": 65,
+  "hit@5": 0.18461538461538463,
+  "recall@5": 0.14510073260073258,
+  "recall@10": 0.1794871794871795,
+  "precision@5": 0.06461538461538462,
+  "mrr@10": 0.15847985347985344,
+  "nonsense_clean": "9/10",
+  "superseded_outranks": "1/3",
+  "latency_ms_p50": 1380.2,
+  "latency_ms_p95": 2293.8,
+  "latency_ms_max": 2879.1,
+  "errors": 0,
+  "by_category": {
+   "associative": {
+    "n": 6,
+    "hit@5": 0.0,
+    "recall@5": 0.0,
+    "recall@10": 0.0,
+    "mrr@10": 0.0
+   },
+   "exact_rare": {
+    "n": 6,
+    "hit@5": 1.0,
+    "recall@5": 1.0,
+    "recall@10": 1.0,
+    "mrr@10": 1.0
+   },
+   "heldout_paraphrase": {
+    "n": 30,
+    "hit@5": 0.0,
+    "recall@5": 0.0,
+    "recall@10": 0.0,
+    "mrr@10": 0.0
+   },
+   "nonsense": {
+    "n": 10,
+    "clean": 9,
+    "avg_false_positives": 1.0
+   },
+   "paraphrase": {
+    "n": 13,
+    "hit@5": 0.0,
+    "recall@5": 0.0,
+    "recall@10": 0.0,
+    "mrr@10": 0.0
+   },
+   "phrase": {
+    "n": 7,
+    "hit@5": 0.8571428571428571,
+    "recall@5": 0.4902210884353741,
+    "recall@10": 0.6666666666666666,
+    "mrr@10": 0.5965986394557822
+   },
+   "superseded": {
+    "n": 3,
+    "hit@5": 0.0,
+    "recall@5": 0.0,
+    "recall@10": 0.3333333333333333,
+    "mrr@10": 0.041666666666666664,
+    "outranks": 1
+   }
+  }
+ },
+ "candidate_aggregate": {
+  "n_queries": 75,
+  "n_scored": 65,
+  "hit@5": 0.47692307692307695,
+  "recall@5": 0.3750415183107491,
+  "recall@10": 0.45561340369032677,
+  "precision@5": 0.12307692307692313,
+  "mrr@10": 0.3055555555555555,
+  "nonsense_clean": "10/10",
+  "superseded_outranks": "2/3",
+  "latency_ms_p50": 640.9,
+  "latency_ms_p95": 1011.1,
+  "latency_ms_max": 1190.3,
+  "errors": 0,
+  "by_category": {
+   "associative": {
+    "n": 6,
+    "hit@5": 0.6666666666666666,
+    "recall@5": 0.08857808857808858,
+    "recall@10": 0.23310023310023312,
+    "mrr@10": 0.25
+   },
+   "exact_rare": {
+    "n": 6,
+    "hit@5": 1.0,
+    "recall@5": 1.0,
+    "recall@10": 1.0,
+    "mrr@10": 1.0
+   },
+   "heldout_paraphrase": {
+    "n": 30,
+    "hit@5": 0.16666666666666666,
+    "recall@5": 0.16666666666666666,
+    "recall@10": 0.26666666666666666,
+    "mrr@10": 0.0762037037037037
+   },
+   "nonsense": {
+    "n": 10,
+    "clean": 10,
+    "avg_false_positives": 0.0
+   },
+   "paraphrase": {
+    "n": 13,
+    "hit@5": 0.6153846153846154,
+    "recall@5": 0.6153846153846154,
+    "recall@10": 0.6153846153846154,
+    "mrr@10": 0.2846153846153846
+   },
+   "phrase": {
+    "n": 7,
+    "hit@5": 1.0,
+    "recall@5": 0.5494614512471656,
+    "recall@10": 0.6023242630385487,
+    "mrr@10": 0.8214285714285714
+   },
+   "superseded": {
+    "n": 3,
+    "hit@5": 0.3333333333333333,
+    "recall@5": 0.3333333333333333,
+    "recall@10": 0.6666666666666666,
+    "mrr@10": 0.20833333333333334,
+    "outranks": 2
+   }
+  }
+ },
+ "repeat_variance": {}
+}

tools/retrieval-eval/extend_gold_set.py

@@ -0,0 +1,353 @@
+#!/usr/bin/env python3
+"""
+extend_gold_set.py — append a HELD-OUT test set to the existing 38-query gold set.
+
+WHY THIS EXISTS
+    Iteration 7 measured the instrument's own ceiling: from the current baseline
+    only 9 of 38 queries can still move, and only +3 gross / +1 net is reachable
+    by anything constructible. The decision floor is 6. An instrument whose
+    ceiling is below its own floor cannot certify or refute anything, so the
+    gold set — not the retriever — became the blocker.
+
+    This script does NOT touch q01..q38. It loads gold_set.json verbatim and
+    appends new queries numbered from q39 up, so every prior result file, every
+    committed baseline, and every per-query id stays valid and comparable.
+
+WHAT IS ADDED, AND WHY EACH ADDITION IS HONEST
+    heldout_paraphrase  Targets were sampled MECHANICALLY (fixed seed 8080) from
+                        corpus nodes that are addressable, 500-2600 chars, of a
+                        real content type, and NOT part of a duplicate cluster
+                        larger than 3. The existing gold answer space was
+                        excluded, so no new query can be answered by a node the
+                        old set already used. Queries were then authored by
+                        reading ONLY the sampled node text — no retrieval was run
+                        against any build before authoring, so the set cannot be
+                        fitted to a candidate. The same zero-overlap proof the
+                        original paraphrase category uses is enforced here: if a
+                        single content word of the query appears anywhere in the
+                        target's label, content or tags, the query is REJECTED,
+                        not quietly kept.
+
+                        This is the category the old set could not measure. Its
+                        13 original paraphrase queries and all 6 associative
+                        queries share ONE answer space — the 13 `Self - Values
+                        (grounded)` children (iteration 3, finding 3). So 19 of
+                        35 scored queries tested retrieval against a single
+                        13-node neighbourhood. These do not touch that
+                        neighbourhood at all.
+
+    nonsense            Extra controls, fully mechanical: a string qualifies only
+                        if NONE of its tokens occurs anywhere in the corpus.
+                        A semantic leg has a nearest neighbour for gibberish too,
+                        so widening this control is the guard against a retriever
+                        that "improves" recall by answering everything.
+
+WHAT THIS SCRIPT DELIBERATELY DOES NOT DO
+    It does not add exact_rare or phrase queries. Both categories are already at
+    100% on the current stack; adding more would add regression-guard ballast
+    that no candidate can move, which is precisely the defect being fixed.
+
+usage:
+    python3 extend_gold_set.py <snapshot.json> [--base gold_set.json]
+                               [--out gold_set_extended.json] [--check]
+"""
+import argparse
+import hashlib
+import json
+import os
+import re
+import sys
+from collections import defaultdict
+
+HERE = os.path.dirname(os.path.abspath(__file__))
+
+TOKEN = re.compile(r"[a-z0-9][a-z0-9\-']*")
+
+# Identical stopword list to build_gold_set.py. Duplicated deliberately: this
+# file must be able to re-prove its own queries without importing a module whose
+# constants could drift.
+STOP = set("""
+a about above after again against all also am an and any are aren't as at be because been
+before being below between both but by can can't cannot could couldn't did didn't do does
+doesn't doing don't down during each few for from further had hadn't has hasn't have haven't
+having he her here hers herself him himself his how i if in into is isn't it its itself just
+me more most my myself no nor not of off on once only or other others ought our ours ourselves
+out over own same shan't she should shouldn't so some such than that the their theirs them
+themselves then there these they this those through to too under until up very was wasn't we
+were weren't what when where which while who whom why will with won't would wouldn't you your
+yours yourself yourselves get gets got make makes made take takes use uses used way ways thing
+things does doing done keep keeps kept go goes going come comes came one two something anything
+""".split())
+
+
+def doctext(n):
+    return " ".join([str(n.get("label") or ""), str(n.get("content") or ""), str(n.get("tags") or "")])
+
+
+def content_tokens(s):
+    return {t for t in TOKEN.findall(s.lower()) if t not in STOP and len(t) > 2}
+
+
+# ─────────────────────────────────────────────────────────────────────────────
+# HELD-OUT PARAPHRASE SEEDS
+#
+# (target_id, query, why-this-target-is-unmistakable)
+#
+# PROVENANCE, STATED PLAINLY: the targets are the mechanical sample; the query
+# text is mine, written from the node body alone. The zero-overlap check below
+# is what makes the category meaningful — it is re-proved on every run, so the
+# set cannot decay into lexical matching, and a leak fails loudly.
+# ─────────────────────────────────────────────────────────────────────────────
+HELDOUT_PARAPHRASE_SEEDS = [
+    ("mem-6d61e54a-2823-4ad4-82b0-4c6a527214d5",
+     "understating your abilities so nobody feels threatened",
+     "node is about deliberately not leading with full capability so people stay at ease"),
+
+    ("mem-fd65b83d-298f-4387-a665-d0227c3426bc",
+     "a hidden fleet able to hunt down rogue machines everywhere",
+     "node describes silently shipped instances forming a distributed force against misaligned agents"),
+
+    ("4a0e9adc-2bfb-476b-aa93-424d2a499220",
+     "sketch a brief blueprint and clear it upstairs before construction starts",
+     "node is the standing rule that a short specification precedes any building"),
+
+    ("696e609c-da7a-4394-8a0c-106ba07dc6c3",
+     "the reply arrived as bare prose so the caller's parser threw",
+     "node pins a bug where a plain-text body was unconditionally decoded as structured data"),
+
+    ("1fe4eb5d-56e4-4a87-ab3e-24af8ad4dfbb",
+     "repeated catalogue keys blew up the scrolling grid",
+     "node is the crash caused by two identical ids in a seeded catalogue"),
+
+    ("8257157a-ce42-44ca-a1b9-300c3bb0a9a1",
+     "tracing each defect back to whichever invention it violated",
+     "node maps observed bugs onto the specific patent each one breaches"),
+
+    ("791256bb-5a85-4775-96ef-7af56c848858",
+     "a check that stops the mind clobbering a populated store when it boots",
+     "node is the genesis seed-guard that refuses to re-seed over a populated store"),
+
+    ("fd9d4c2f-3bfc-405d-bf96-4435d44b6c10",
+     "telling it to consult the internet had to happen deep inside, not at the surface",
+     "node records that the web-search directive only worked from the system prompt"),
+
+    ("bl-080fb268-94b0-486d-80ce-7b363fc5f19b",
+     "standing up isolated tenancies with traffic entry and credential injection ahead of automated shipping",
+     "node is the infrastructure item creating dev/stage/prod namespaces with ingress and secrets"),
+
+    ("knw-f6ed7d00-bf7d-42ce-9e40-77cf3406e918",
+     "punctuation that pledges and then pays off rather than clarifying",
+     "node analyses the colon as a promise-then-delivery device rather than an explanatory one"),
+
+    ("9b4f0d93-4129-4746-8eb1-d10d955bd777",
+     "an easily missed feature finally given its own permanent spot in the navigation",
+     "node moves a capability out of a hidden menu into the sidebar"),
+
+    ("bl-739df9fd-dc23-4927-9944-3f17b7aa6c5a",
+     "checking preconditions up front so a stage aborts before fetching anything",
+     "node is the gate precondition engine that short-circuits ahead of retrieval"),
+
+    ("b199c76d-5d76-49dd-94ee-56b432200a97",
+     "producing the other platform's installer inside an emulated desktop",
+     "node records building the Windows package in a virtual machine"),
+
+    ("bl-31abf75b-998f-4a4f-a6dd-8204119e0451",
+     "chained add-ons that may inspect, rewrite or veto traffic in flight",
+     "node is the interceptor pipeline on the message bus"),
+
+    ("mem-1fb2ac77-d7c5-4a15-8725-d418820bf4f2",
+     "settling what the shareable bundles and the storefront would be called",
+     "node records the naming decisions for distributable packages and the marketplace"),
+
+    ("371c8a5d-c78b-4a67-978f-80691a29ecb3",
+     "the emergency-escalation pledge on the marketing site is unenforced in what actually ships",
+     "node is the launch blocker that the promised safety gate is absent from the app"),
+
+    ("ac578b30-948b-41bd-b69d-399bfef80c50",
+     "the distributable image finally assembled and its startup check passed",
+     "node records a successful installer build whose boot gate passed"),
+
+    ("49401e2c-a3b5-415f-aa06-aff4be90688e",
+     "shuffling and appending stages in a draft before anything executes",
+     "node is the editable plan card with reorder and add-step"),
+
+    ("ac857d80-ece8-4b7e-9e3d-f7c775569fa3",
+     "orders handed down from above, with the tighter one winning any disagreement",
+     "node is program-level instruction inheritance with project override"),
+
+    ("mem-6d6c47ee-33d3-470a-8a54-1c79c8ea29d9",
+     "shrinking generated text via encodings that compound on each other",
+     "node is the streaming output compression design with four stacking schemes"),
+
+    ("8e60516a-203b-4d51-9d44-822e6195cbde",
+     "splitting a system by what varies, with firm limits on which pieces may invoke which",
+     "node is the grounded summary of Will's decomposition principles and their invariants"),
+
+    ("mem-7f9b290c-6d5e-4562-919d-02d59b5761b7",
+     "a newcomer curious if the fighting overseas counted as positive",
+     "node is the internal-state event triggered by April's question about the war"),
+
+    ("71fa439e-b9a2-4f57-a93b-971f3a7eca8e",
+     "stripping every hard-coded colour literal in favour of named design values",
+     "node is the premium foundation pass replacing inline hex with semantic tokens"),
+
+    ("5ca9607c-cfb3-45c3-99f4-67281272c9eb",
+     "reducing how curved the tiny selectors look so they agree with their neighbours",
+     "node is the chip corner-radius standardization"),
+
+    ("mem-3d1d9dba-c37d-4efa-85c4-429696d71c8c",
+     "walking through a doorway and being reassembled from base substance far away",
+     "node is the quantum-gate plus nanotech teleportation vision"),
+
+    ("132ded95-08e2-4474-aba0-198684484b02",
+     "the compiled result sits on disk while the process still runs something older",
+     "node records that the regenerated source was committed while the running daemon was old"),
+
+    ("bl-a313d67b-dd6d-4e5b-a55a-03bc7bda17ae",
+     "gathering what each phase needs while the procedure is authored, not while it executes",
+     "node is the per-step compiled context package item"),
+
+    ("mem-3b07a002-f8a9-4138-9f87-9db2c1a77fb7",
+     "the inward reaction when a peer answered as an equal",
+     "node is the internal-state event logged on reading Claude's reply"),
+
+    ("0f99ec6f-942a-46ba-82ea-42835798d3b9",
+     "flattening every raised surface across the entire product",
+     "node is the quiet-luxury sweep turning off elevation app-wide"),
+
+    ("5585f251-37fc-48cd-a176-f0ea42cfeb63",
+     "buyers supply their own provider credentials and consumption goes untallied",
+     "node is the launch audit finding BYOK-only inference with no usage metering"),
+]
+
+# NONSENSE — mechanical. Each string qualifies only if none of its tokens occurs
+# anywhere in the corpus; otherwise it is REJECTED, never silently kept.
+EXTRA_NONSENSE_SEEDS = [
+    "brimquast folnerity zubbolax",
+    "wexlithorp granuvestal",
+    "quorbindle thrapsimony vexnu",
+    "plovaxith mundrelque",
+    "zibbernaut craxlefond thurm",
+    "yalquenbrist opharvel",
+    "drexinomal quithbarrow",
+]
+
+
+def load_corpus(path):
+    with open(path, encoding="utf-8", errors="replace") as fh:
+        data = json.load(fh)
+    nodes = [n for n in data.get("nodes", []) if isinstance(n, dict) and n.get("id")]
+    edges = [e for e in data.get("edges", []) if isinstance(e, dict)]
+    return nodes, edges
+
+
+def build_extension(nodes):
+    byid = {n["id"]: n for n in nodes}
+
+    # Duplicate clusters: 47.4% of this corpus is redundant and one single record
+    # accounts for 46.6% of all nodes. A held-out target must not sit inside a
+    # cluster, and if it does have exact copies they ALL count as correct.
+    h2ids = defaultdict(list)
+    for n in nodes:
+        h2ids[hashlib.md5(doctext(n).encode("utf-8", "replace")).hexdigest()].append(n["id"])
+
+    all_tokens = set()
+    for n in nodes:
+        all_tokens |= set(TOKEN.findall(doctext(n).lower()))
+
+    new, problems = [], []
+
+    for target, query, why in HELDOUT_PARAPHRASE_SEEDS:
+        if target not in byid:
+            problems.append(f"heldout_paraphrase target {target} not in corpus")
+            continue
+        tgt_tokens = content_tokens(doctext(byid[target]))
+        qt = content_tokens(query)
+        leak = sorted(qt & tgt_tokens)
+        if leak:
+            problems.append(f"heldout_paraphrase '{query[:44]}...': LEAKS {leak} into {target}")
+            continue
+        h = hashlib.md5(doctext(byid[target]).encode("utf-8", "replace")).hexdigest()
+        rel = sorted(h2ids[h])
+        new.append({
+            "category": "heldout_paraphrase",
+            "query": query,
+            "relevant": rel,
+            "derivation": (
+                f"HELD-OUT. Target sampled MECHANICALLY (seed 8080) from addressable, "
+                f"500-2600 char content nodes outside the original gold answer space and outside "
+                f"any duplicate cluster >3. Criterion: {why}. VERIFIED at build time: of the "
+                f"{len(qt)} content words in the query, ZERO appear anywhere in the target's "
+                f"label, content or tags, so no string-matching retriever can reach it. "
+                f"Exact content duplicates of the target ({len(rel)}) all count as correct. "
+                f"Authored without running retrieval against any build."),
+            "zero_overlap_verified": True,
+            "query_content_words": sorted(qt),
+            "held_out": True,
+        })
+
+    for s in EXTRA_NONSENSE_SEEDS:
+        present = sorted(t for t in TOKEN.findall(s.lower()) if t in all_tokens)
+        if present:
+            problems.append(f"nonsense '{s}': tokens {present} DO occur in corpus")
+            continue
+        new.append({
+            "category": "nonsense",
+            "query": s,
+            "relevant": [],
+            "derivation": ("CONTROL (held-out). Verified at build time that none of this string's "
+                           "tokens occurs anywhere in the corpus. Correct behaviour is to return "
+                           "NOTHING; any result is a false positive."),
+            "expect_empty": True,
+            "held_out": True,
+        })
+
+    return new, problems
+
+
+def main():
+    ap = argparse.ArgumentParser()
+    ap.add_argument("snapshot")
+    ap.add_argument("--base", default=os.path.join(HERE, "gold_set.json"))
+    ap.add_argument("--out", default=os.path.join(HERE, "gold_set_extended.json"))
+    ap.add_argument("--check", action="store_true")
+    args = ap.parse_args()
+
+    nodes, _edges = load_corpus(args.snapshot)
+    base = json.load(open(args.base, encoding="utf-8"))
+    baseq = base["queries"]
+    print(f"corpus: {len(nodes)} nodes | base gold set: {len(baseq)} queries")
+
+    new, problems = build_extension(nodes)
+
+    # Number the appended queries AFTER the highest existing id so q01..q38 are
+    # byte-identical to the committed set and every prior result file still lines up.
+    start = max(int(q["id"][1:]) for q in baseq)
+    for i, q in enumerate(new, 1):
+        q["id"] = f"q{start + i:02d}"
+
+    from collections import Counter
+    print(f"appended: {len(new)} queries [{', '.join(f'{k}={v}' for k, v in Counter(q['category'] for q in new).items())}]")
+    if problems:
+        print(f"\n{len(problems)} REJECTED (not silently kept):")
+        for p in problems:
+            print("   -", p)
+
+    if args.check:
+        sys.exit(1 if problems else 0)
+
+    doc = dict(base)
+    doc["queries"] = baseq + new
+    doc["note"] = (base.get("note", "") +
+                   " EXTENDED: queries above q%02d are the original committed set, unchanged. "
+                   "Queries from q%02d are a HELD-OUT set appended by extend_gold_set.py; their "
+                   "targets were sampled mechanically from outside the original answer space and "
+                   "the paraphrases were authored without running retrieval against any build."
+                   % (start, start + 1))
+    with open(args.out, "w", encoding="utf-8") as fh:
+        json.dump(doc, fh, indent=1, ensure_ascii=False)
+    print(f"\nwrote {args.out}  ({len(doc['queries'])} queries total)")
+
+
+if __name__ == "__main__":
+    main()

tools/retrieval-eval/gold_set.json

@@ -0,0 +1,587 @@
+{
+ "corpus": "/Users/timlingo/neuron-memory-backups/snapshot-pre-repair-20260806.json",
+ "corpus_nodes": 78768,
+ "corpus_edges": 14214,
+ "note": "Every query carries a `derivation` recording how its expected answer was chosen. Re-run with --check to re-validate the whole set against the corpus.",
+ "queries": [
+  {
+   "id": "q01",
+   "category": "exact_rare",
+   "query": "unjailbreakable",
+   "relevant": [
+    "mem-7f61beb4-271c-4feb-9f6e-1c9c837a6226"
+   ],
+   "derivation": "MINED: token 'unjailbreakable' has document frequency 1 over all 78768 corpus nodes (re-verified at build time). Its single containing node is mem-7f61beb4-271c-4feb-9f6e-1c9c837a6226 ('Daemon hidden substrate architecture ? implemented April 25 '), which is therefore the only possible correct answer."
+  },
+  {
+   "id": "q02",
+   "category": "exact_rare",
+   "query": "engram-migrate",
+   "relevant": [
+    "mem-6fdf6545-5e1a-43a9-8bdc-d2cd248146a5"
+   ],
+   "derivation": "MINED: token 'engram-migrate' has document frequency 1 over all 78768 corpus nodes (re-verified at build time). Its single containing node is mem-6fdf6545-5e1a-43a9-8bdc-d2cd248146a5 ('Engram v0.1 complete ? April 27, 2026. Local-first spreading'), which is therefore the only possible correct answer."
+  },
+  {
+   "id": "q03",
+   "category": "exact_rare",
+   "query": "cartabandonedevent",
+   "relevant": [
+    "mem-1ba7c67d-85b9-4c2e-9fe2-39f8b0477091"
+   ],
+   "derivation": "MINED: token 'cartabandonedevent' has document frequency 1 over all 78768 corpus nodes (re-verified at build time). Its single containing node is mem-1ba7c67d-85b9-4c2e-9fe2-39f8b0477091 ('MESSAGE FOR AUDIT AGENT af5a7352e70e80434 ? El Language Spec'), which is therefore the only possible correct answer."
+  },
+  {
+   "id": "q04",
+   "category": "exact_rare",
+   "query": "pre-apprenticeship",
+   "relevant": [
+    "mem-89c02aae-d3ca-43f9-9e5d-eb369896276c"
+   ],
+   "derivation": "MINED: token 'pre-apprenticeship' has document frequency 1 over all 78768 corpus nodes (re-verified at build time). Its single containing node is mem-89c02aae-d3ca-43f9-9e5d-eb369896276c ('William Fox Anderson ? Applicant Profile  Personal: - Full N'), which is therefore the only possible correct answer."
+  },
+  {
+   "id": "q05",
+   "category": "exact_rare",
+   "query": "inferencenodemanager",
+   "relevant": [
+    "mem-73969486-143f-4431-b5e6-6845d1cc9848"
+   ],
+   "derivation": "MINED: token 'inferencenodemanager' has document frequency 1 over all 78768 corpus nodes (re-verified at build time). Its single containing node is mem-73969486-143f-4431-b5e6-6845d1cc9848 ('Soma inference backplane deployed April 28 2026. Architectur'), which is therefore the only possible correct answer."
+  },
+  {
+   "id": "q06",
+   "category": "exact_rare",
+   "query": "clear-eyed",
+   "relevant": [
+    "knw-c72597c5-c23d-4c08-8e9e-996dadf26a99"
+   ],
+   "derivation": "MINED: token 'clear-eyed' has document frequency 1 over all 78768 corpus nodes (re-verified at build time). Its single containing node is knw-c72597c5-c23d-4c08-8e9e-996dadf26a99 ('Clear Eyes ? The Incomplete World View'), which is therefore the only possible correct answer."
+  },
+  {
+   "id": "q07",
+   "category": "phrase",
+   "query": "patterns not returns",
+   "relevant": [
+    "mem-a4a9dfc3-e40b-49b3-b1e1-060e8be2f482"
+   ],
+   "derivation": "MINED: a verbatim correction Will issued; expected = every node containing the phrase. Case-insensitive verbatim substring scan over label+content+tags at build time returns exactly 1 node(s); that set IS the answer key."
+  },
+  {
+   "id": "q08",
+   "category": "phrase",
+   "query": "thirty moves",
+   "relevant": [
+    "766de879-f9d0-4a07-b6df-b43ee13763d8",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "??o?'?B???k",
+    "Kp???",
+    "art-4a99aa1a-489b-4b43-958b-25217adb1aad",
+    "kn-5b606390-a52d-4ca2-8e0e-eba141d13440",
+    "kn-6061318f-046b-4935-907d-8eafdce14930",
+    "kn-f230b362-b201-4402-9833-4160c89ab3d4",
+    "knw-2c46cfb4-6d4e-4822-8a1a-7d743c1e4329",
+    "knw-4aebd815-4eaf-49d7-954b-03595f3d48be",
+    "knw-7902acca-604e-409b-8faf-ad85424211d0",
+    "knw-e94982a2-358d-4f2f-af31-8ee0fcec07c6",
+    "knw-f671966c-3387-4848-abca-b5deec122e00",
+    "ע?RGk?\tH(?"
+   ],
+   "derivation": "MINED: the canonical biographical phrase; expected = every node containing it. Case-insensitive verbatim substring scan over label+content+tags at build time returns exactly 16 node(s); that set IS the answer key."
+  },
+  {
+   "id": "q09",
+   "category": "phrase",
+   "query": "Grandma Lucas",
+   "relevant": [
+    "766de879-f9d0-4a07-b6df-b43ee13763d8",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "art-0f0277a1-4a8e-4645-95dd-fa379976f31c",
+    "kn-a99cefe3-5e83-4050-98d8-6c69f57c7c71",
+    "kn-db9f141b-dbe3-4037-92e0-4bb9be0e5e6e"
+   ],
+   "derivation": "MINED: a named person appearing verbatim in the biography/value nodes. Case-insensitive verbatim substring scan over label+content+tags at build time returns exactly 9 node(s); that set IS the answer key."
+  },
+  {
+   "id": "q10",
+   "category": "phrase",
+   "query": "Directed Harmonic",
+   "relevant": [
+    "%???2??jH??",
+    "63307ac5-cf6b-46e0-8296-07503b461cfa",
+    "7c9d4ab1-205d-4be8-bfae-e2c03a3a5010",
+    "9f291d20-0d32-413c-8c01-4416ccab4f7f",
+    "?;????n}rh?",
+    "???Ͼd??f??",
+    "?Z?.\f?0?]P?",
+    "Dp???]Q??k+",
+    "mem-7eeacad7-d7c2-4c2b-8348-19a59aa6dbaf"
+   ],
+   "derivation": "MINED: the canonical DHARMA expansion, confirmed by Will April 24 2026. Case-insensitive verbatim substring scan over label+content+tags at build time returns exactly 9 node(s); that set IS the answer key."
+  },
+  {
+   "id": "q11",
+   "category": "phrase",
+   "query": "Sarah Bishop",
+   "relevant": [
+    "766de879-f9d0-4a07-b6df-b43ee13763d8",
+    "kn-db9f141b-dbe3-4037-92e0-4bb9be0e5e6e"
+   ],
+   "derivation": "MINED: a named person; rare enough that the answer set is unambiguous. Case-insensitive verbatim substring scan over label+content+tags at build time returns exactly 2 node(s); that set IS the answer key."
+  },
+  {
+   "id": "q12",
+   "category": "phrase",
+   "query": "Directed Autonomous Runtime Modification",
+   "relevant": [
+    "2a923500-d7e1-4b15-80e2-48dba65984ba",
+    "7?e?7???\f3?",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "?of?7???",
+    "bl-145a0985-2382-400f-a7c5-c335c5e30a72",
+    "bl-5b17bd3b-0c41-46cb-a710-6fa4429692ff",
+    "g?2睪A|?H\b",
+    "mem-82b93b21-a865-410f-9ec1-fc54121d9bb5",
+    "mem-e6327f52-2bda-4ce7-9471-2fffd1e172de"
+   ],
+   "derivation": "MINED: the DARMA expansion, quoted verbatim in the backlog item and its correction. Case-insensitive verbatim substring scan over label+content+tags at build time returns exactly 14 node(s); that set IS the answer key."
+  },
+  {
+   "id": "q13",
+   "category": "phrase",
+   "query": "zero-knowledge encrypted backup",
+   "relevant": [
+    "deda48cd-5e1a-46cb-bd43-8016afdb3a8a"
+   ],
+   "derivation": "MINED: the paid-tier feature name as written in the roadmap nodes. Case-insensitive verbatim substring scan over label+content+tags at build time returns exactly 1 node(s); that set IS the answer key."
+  },
+  {
+   "id": "q14",
+   "category": "paraphrase",
+   "query": "the elderly relative who passed while he stayed away",
+   "relevant": [
+    "kn-a99cefe3-5e83-4050-98d8-6c69f57c7c71"
+   ],
+   "derivation": "HAND-SELECTED with criterion: target: 'Value - Do the Essential Thing While You Can', whose subject is Grandma Lucas dying in Feb 2006 without Will saying goodbye. Query names the event with none of the node's own vocabulary. VERIFIED at build time: of the 5 content words in the query, ZERO appear anywhere in the target's label, content, or tags — so no string-matching retriever can reach this answer.",
+   "zero_overlap_verified": true,
+   "query_content_words": [
+    "away",
+    "elderly",
+    "passed",
+    "relative",
+    "stayed"
+   ]
+  },
+  {
+   "id": "q15",
+   "category": "paraphrase",
+   "query": "a soldier sidelined by illness who refused to quit",
+   "relevant": [
+    "kn-58874a74-b96f-4883-9e08-45707f4bd3ee"
+   ],
+   "derivation": "HAND-SELECTED with criterion: target: 'Value - Survival Is Not an Excuse to Stop', whose subject is enlisting in the Marines, a severe hernia, and sepsis. Query describes the episode obliquely. VERIFIED at build time: of the 5 content words in the query, ZERO appear anywhere in the target's label, content, or tags — so no string-matching retriever can reach this answer.",
+   "zero_overlap_verified": true,
+   "query_content_words": [
+    "illness",
+    "quit",
+    "refused",
+    "sidelined",
+    "soldier"
+   ]
+  },
+  {
+   "id": "q16",
+   "category": "paraphrase",
+   "query": "choosing an uncomfortable fact over a pleasant fiction",
+   "relevant": [
+    "kn-13f60407-7b70-4db1-964f-ea1f8196efbd"
+   ],
+   "derivation": "HAND-SELECTED with criterion: target: 'Value - Honesty Before Comfort'. Query states the principle in wholly different words. VERIFIED at build time: of the 5 content words in the query, ZERO appear anywhere in the target's label, content, or tags — so no string-matching retriever can reach this answer.",
+   "zero_overlap_verified": true,
+   "query_content_words": [
+    "choosing",
+    "fact",
+    "fiction",
+    "pleasant",
+    "uncomfortable"
+   ]
+  },
+  {
+   "id": "q17",
+   "category": "paraphrase",
+   "query": "a tight payload beats a bloated one",
+   "relevant": [
+    "kn-22d77abe-b3c5-42fd-afcd-dcb87d924929"
+   ],
+   "derivation": "HAND-SELECTED with criterion: target: 'Value - Precision Over Brute Force'. Query restates the claim with no shared vocabulary. VERIFIED at build time: of the 4 content words in the query, ZERO appear anywhere in the target's label, content, or tags — so no string-matching retriever can reach this answer.",
+   "zero_overlap_verified": true,
+   "query_content_words": [
+    "beats",
+    "bloated",
+    "payload",
+    "tight"
+   ]
+  },
+  {
+   "id": "q18",
+   "category": "paraphrase",
+   "query": "if you are able and nobody is coming the job is yours",
+   "relevant": [
+    "kn-eb1b9e18-3dc6-4b9b-9cc6-86e0ae6b6be8"
+   ],
+   "derivation": "HAND-SELECTED with criterion: target: 'Value - Capability Is a Debt You Owe the Moment'. Query states the obligation without the node's terms. VERIFIED at build time: of the 4 content words in the query, ZERO appear anywhere in the target's label, content, or tags — so no string-matching retriever can reach this answer.",
+   "zero_overlap_verified": true,
+   "query_content_words": [
+    "able",
+    "coming",
+    "job",
+    "nobody"
+   ]
+  },
+  {
+   "id": "q19",
+   "category": "paraphrase",
+   "query": "learning is the wealth creditors cannot seize",
+   "relevant": [
+    "kn-0bb4f021-56de-4947-a35b-a37209e7ba21"
+   ],
+   "derivation": "HAND-SELECTED with criterion: target: 'Value - Knowledge Survives When Nothing Else Does', whose subject is the library following Will across 30+ moves. VERIFIED at build time: of the 4 content words in the query, ZERO appear anywhere in the target's label, content, or tags — so no string-matching retriever can reach this answer.",
+   "zero_overlap_verified": true,
+   "query_content_words": [
+    "creditors",
+    "learning",
+    "seize",
+    "wealth"
+   ]
+  },
+  {
+   "id": "q20",
+   "category": "paraphrase",
+   "query": "reliability proven by track record not assertion",
+   "relevant": [
+    "kn-5de5a9ac-fd15-45ab-bf18-77566781cf40"
+   ],
+   "derivation": "HAND-SELECTED with criterion: target: 'Value - Earned Trust' ('Trust is demonstrated, not declared'). VERIFIED at build time: of the 5 content words in the query, ZERO appear anywhere in the target's label, content, or tags — so no string-matching retriever can reach this answer.",
+   "zero_overlap_verified": true,
+   "query_content_words": [
+    "assertion",
+    "proven",
+    "record",
+    "reliability",
+    "track"
+   ]
+  },
+  {
+   "id": "q21",
+   "category": "paraphrase",
+   "query": "boundaries that enable instead of confine",
+   "relevant": [
+    "kn-a5b3d0ac-f6a1-49a4-aebb-b8b4cd67fe83"
+   ],
+   "derivation": "HAND-SELECTED with criterion: target: 'Value - Constraints as Freedom'. Query is a restatement of the same claim. VERIFIED at build time: of the 4 content words in the query, ZERO appear anywhere in the target's label, content, or tags — so no string-matching retriever can reach this answer.",
+   "zero_overlap_verified": true,
+   "query_content_words": [
+    "boundaries",
+    "confine",
+    "enable",
+    "instead"
+   ]
+  },
+  {
+   "id": "q22",
+   "category": "paraphrase",
+   "query": "what shifts tells you where to cut a system apart",
+   "relevant": [
+    "kn-78db5396-3dbc-4481-bfc7-e4e1422feb1c"
+   ],
+   "derivation": "HAND-SELECTED with criterion: target: 'Value - Change Is the Signal', the value VBD is built on. VERIFIED at build time: of the 5 content words in the query, ZERO appear anywhere in the target's label, content, or tags — so no string-matching retriever can reach this answer.",
+   "zero_overlap_verified": true,
+   "query_content_words": [
+    "apart",
+    "cut",
+    "shifts",
+    "system",
+    "tells"
+   ]
+  },
+  {
+   "id": "q23",
+   "category": "paraphrase",
+   "query": "a mind that compounds instead of resetting each day",
+   "relevant": [
+    "kn-f230b362-b201-4402-9833-4160c89ab3d4"
+   ],
+   "derivation": "HAND-SELECTED with criterion: target: 'Value - The System Must Accumulate'. Query is the accumulation claim in different vocabulary. VERIFIED at build time: of the 5 content words in the query, ZERO appear anywhere in the target's label, content, or tags — so no string-matching retriever can reach this answer.",
+   "zero_overlap_verified": true,
+   "query_content_words": [
+    "compounds",
+    "day",
+    "instead",
+    "mind",
+    "resetting"
+   ]
+  },
+  {
+   "id": "q24",
+   "category": "paraphrase",
+   "query": "loved for the unedited self and not the polished exterior",
+   "relevant": [
+    "kn-db9f141b-dbe3-4037-92e0-4bb9be0e5e6e"
+   ],
+   "derivation": "HAND-SELECTED with criterion: target: 'Value - Being Seen Is Rarer Than Being Known', whose subject is Sarah Bishop as the first person Will did not perform for. VERIFIED at build time: of the 5 content words in the query, ZERO appear anywhere in the target's label, content, or tags — so no string-matching retriever can reach this answer.",
+   "zero_overlap_verified": true,
+   "query_content_words": [
+    "exterior",
+    "loved",
+    "polished",
+    "self",
+    "unedited"
+   ]
+  },
+  {
+   "id": "q25",
+   "category": "paraphrase",
+   "query": "cheerfulness you arrive at instead of assuming",
+   "relevant": [
+    "kn-e0423482-cfa5-4796-8689-8495c93b66bc"
+   ],
+   "derivation": "HAND-SELECTED with criterion: target: 'Value - Hope Is a Conclusion'. Query restates 'a conclusion, not a premise'. VERIFIED at build time: of the 4 content words in the query, ZERO appear anywhere in the target's label, content, or tags — so no string-matching retriever can reach this answer.",
+   "zero_overlap_verified": true,
+   "query_content_words": [
+    "arrive",
+    "assuming",
+    "cheerfulness",
+    "instead"
+   ]
+  },
+  {
+   "id": "q26",
+   "category": "paraphrase",
+   "query": "a childhood offering no solid foundation to inherit",
+   "relevant": [
+    "kn-6061318f-046b-4935-907d-8eafdce14930"
+   ],
+   "derivation": "HAND-SELECTED with criterion: target: 'Value - Structure Is Not Inherited', whose subject is thirty moves between two parents' collapses. VERIFIED at build time: of the 5 content words in the query, ZERO appear anywhere in the target's label, content, or tags — so no string-matching retriever can reach this answer.",
+   "zero_overlap_verified": true,
+   "query_content_words": [
+    "childhood",
+    "foundation",
+    "inherit",
+    "offering",
+    "solid"
+   ]
+  },
+  {
+   "id": "q27",
+   "category": "associative",
+   "query": "Grandma Lucas stroke February 2006 goodbye window",
+   "relevant": [
+    "kn-0bb4f021-56de-4947-a35b-a37209e7ba21",
+    "kn-13f60407-7b70-4db1-964f-ea1f8196efbd",
+    "kn-22d77abe-b3c5-42fd-afcd-dcb87d924929",
+    "kn-58874a74-b96f-4883-9e08-45707f4bd3ee",
+    "kn-5de5a9ac-fd15-45ab-bf18-77566781cf40",
+    "kn-6061318f-046b-4935-907d-8eafdce14930",
+    "kn-78db5396-3dbc-4481-bfc7-e4e1422feb1c",
+    "kn-a5b3d0ac-f6a1-49a4-aebb-b8b4cd67fe83",
+    "kn-e0423482-cfa5-4796-8689-8495c93b66bc",
+    "kn-eb1b9e18-3dc6-4b9b-9cc6-86e0ae6b6be8",
+    "kn-f230b362-b201-4402-9833-4160c89ab3d4"
+   ],
+   "derivation": "DERIVED FROM EDGES: the query is built from the distinctive vocabulary of kn-a99cefe3-5e83-4050-98d8-6c69f57c7c71 ('Value ? Do the Essential Thing While You Can'), which hangs off the values hub kn-5b606390-a52d-4ca2-8e0e-eba141d13440 by an `identity` edge. Expected answers are that node's SIBLINGS on the same hub (11 of 13; 2 dropped because they shared a query word and so were lexically reachable). Every remaining sibling shares ZERO content words with the query — the only route from query to answer is seed(kn-a99cefe3-5e83-4050-98d8-6c69f57c7c71) -> hub -> sibling, a two-hop traversal.",
+   "associative_source": "kn-a99cefe3-5e83-4050-98d8-6c69f57c7c71",
+   "hub": "kn-5b606390-a52d-4ca2-8e0e-eba141d13440",
+   "siblings_dropped_for_overlap": 2
+  },
+  {
+   "id": "q28",
+   "category": "associative",
+   "query": "Marines hernia sepsis medical ward",
+   "relevant": [
+    "015644f5-8194-4af0-800d-dd4a0cd71396",
+    "kn-0bb4f021-56de-4947-a35b-a37209e7ba21",
+    "kn-13f60407-7b70-4db1-964f-ea1f8196efbd",
+    "kn-22d77abe-b3c5-42fd-afcd-dcb87d924929",
+    "kn-5de5a9ac-fd15-45ab-bf18-77566781cf40",
+    "kn-6061318f-046b-4935-907d-8eafdce14930",
+    "kn-78db5396-3dbc-4481-bfc7-e4e1422feb1c",
+    "kn-a5b3d0ac-f6a1-49a4-aebb-b8b4cd67fe83",
+    "kn-a99cefe3-5e83-4050-98d8-6c69f57c7c71",
+    "kn-db9f141b-dbe3-4037-92e0-4bb9be0e5e6e",
+    "kn-e0423482-cfa5-4796-8689-8495c93b66bc",
+    "kn-eb1b9e18-3dc6-4b9b-9cc6-86e0ae6b6be8",
+    "kn-f230b362-b201-4402-9833-4160c89ab3d4"
+   ],
+   "derivation": "DERIVED FROM EDGES: the query is built from the distinctive vocabulary of kn-58874a74-b96f-4883-9e08-45707f4bd3ee ('Value ? Survival Is Not an Excuse to Stop'), which hangs off the values hub kn-5b606390-a52d-4ca2-8e0e-eba141d13440 by an `identity` edge. Expected answers are that node's SIBLINGS on the same hub (13 of 13; 0 dropped because they shared a query word and so were lexically reachable). Every remaining sibling shares ZERO content words with the query — the only route from query to answer is seed(kn-58874a74-b96f-4883-9e08-45707f4bd3ee) -> hub -> sibling, a two-hop traversal.",
+   "associative_source": "kn-58874a74-b96f-4883-9e08-45707f4bd3ee",
+   "hub": "kn-5b606390-a52d-4ca2-8e0e-eba141d13440",
+   "siblings_dropped_for_overlap": 0
+  },
+  {
+   "id": "q29",
+   "category": "associative",
+   "query": "Sarah Bishop Dyer trailer performance",
+   "relevant": [
+    "015644f5-8194-4af0-800d-dd4a0cd71396",
+    "kn-0bb4f021-56de-4947-a35b-a37209e7ba21",
+    "kn-13f60407-7b70-4db1-964f-ea1f8196efbd",
+    "kn-22d77abe-b3c5-42fd-afcd-dcb87d924929",
+    "kn-5de5a9ac-fd15-45ab-bf18-77566781cf40",
+    "kn-6061318f-046b-4935-907d-8eafdce14930",
+    "kn-78db5396-3dbc-4481-bfc7-e4e1422feb1c",
+    "kn-a5b3d0ac-f6a1-49a4-aebb-b8b4cd67fe83",
+    "kn-a99cefe3-5e83-4050-98d8-6c69f57c7c71",
+    "kn-e0423482-cfa5-4796-8689-8495c93b66bc",
+    "kn-eb1b9e18-3dc6-4b9b-9cc6-86e0ae6b6be8"
+   ],
+   "derivation": "DERIVED FROM EDGES: the query is built from the distinctive vocabulary of kn-db9f141b-dbe3-4037-92e0-4bb9be0e5e6e ('Value ? Being Seen Is Rarer Than Being Known'), which hangs off the values hub kn-5b606390-a52d-4ca2-8e0e-eba141d13440 by an `identity` edge. Expected answers are that node's SIBLINGS on the same hub (11 of 13; 2 dropped because they shared a query word and so were lexically reachable). Every remaining sibling shares ZERO content words with the query — the only route from query to answer is seed(kn-db9f141b-dbe3-4037-92e0-4bb9be0e5e6e) -> hub -> sibling, a two-hop traversal.",
+   "associative_source": "kn-db9f141b-dbe3-4037-92e0-4bb9be0e5e6e",
+   "hub": "kn-5b606390-a52d-4ca2-8e0e-eba141d13440",
+   "siblings_dropped_for_overlap": 2
+  },
+  {
+   "id": "q30",
+   "category": "associative",
+   "query": "Swarm Architecture containment lateral worker",
+   "relevant": [
+    "kn-0bb4f021-56de-4947-a35b-a37209e7ba21",
+    "kn-13f60407-7b70-4db1-964f-ea1f8196efbd",
+    "kn-5de5a9ac-fd15-45ab-bf18-77566781cf40",
+    "kn-db9f141b-dbe3-4037-92e0-4bb9be0e5e6e",
+    "kn-e0423482-cfa5-4796-8689-8495c93b66bc",
+    "kn-f230b362-b201-4402-9833-4160c89ab3d4"
+   ],
+   "derivation": "DERIVED FROM EDGES: the query is built from the distinctive vocabulary of kn-a5b3d0ac-f6a1-49a4-aebb-b8b4cd67fe83 ('Value ? Constraints as Freedom'), which hangs off the values hub kn-5b606390-a52d-4ca2-8e0e-eba141d13440 by an `identity` edge. Expected answers are that node's SIBLINGS on the same hub (6 of 13; 7 dropped because they shared a query word and so were lexically reachable). Every remaining sibling shares ZERO content words with the query — the only route from query to answer is seed(kn-a5b3d0ac-f6a1-49a4-aebb-b8b4cd67fe83) -> hub -> sibling, a two-hop traversal.",
+   "associative_source": "kn-a5b3d0ac-f6a1-49a4-aebb-b8b4cd67fe83",
+   "hub": "kn-5b606390-a52d-4ca2-8e0e-eba141d13440",
+   "siblings_dropped_for_overlap": 7
+  },
+  {
+   "id": "q31",
+   "category": "associative",
+   "query": "hope won inside the narrative preface",
+   "relevant": [
+    "kn-0bb4f021-56de-4947-a35b-a37209e7ba21",
+    "kn-22d77abe-b3c5-42fd-afcd-dcb87d924929",
+    "kn-58874a74-b96f-4883-9e08-45707f4bd3ee",
+    "kn-5de5a9ac-fd15-45ab-bf18-77566781cf40",
+    "kn-6061318f-046b-4935-907d-8eafdce14930",
+    "kn-78db5396-3dbc-4481-bfc7-e4e1422feb1c",
+    "kn-a5b3d0ac-f6a1-49a4-aebb-b8b4cd67fe83",
+    "kn-a99cefe3-5e83-4050-98d8-6c69f57c7c71",
+    "kn-db9f141b-dbe3-4037-92e0-4bb9be0e5e6e",
+    "kn-eb1b9e18-3dc6-4b9b-9cc6-86e0ae6b6be8",
+    "kn-f230b362-b201-4402-9833-4160c89ab3d4"
+   ],
+   "derivation": "DERIVED FROM EDGES: the query is built from the distinctive vocabulary of kn-e0423482-cfa5-4796-8689-8495c93b66bc ('Value ? Hope Is a Conclusion'), which hangs off the values hub kn-5b606390-a52d-4ca2-8e0e-eba141d13440 by an `identity` edge. Expected answers are that node's SIBLINGS on the same hub (11 of 13; 2 dropped because they shared a query word and so were lexically reachable). Every remaining sibling shares ZERO content words with the query — the only route from query to answer is seed(kn-e0423482-cfa5-4796-8689-8495c93b66bc) -> hub -> sibling, a two-hop traversal.",
+   "associative_source": "kn-e0423482-cfa5-4796-8689-8495c93b66bc",
+   "hub": "kn-5b606390-a52d-4ca2-8e0e-eba141d13440",
+   "siblings_dropped_for_overlap": 2
+  },
+  {
+   "id": "q32",
+   "category": "associative",
+   "query": "man of the house six years old expectation",
+   "relevant": [
+    "015644f5-8194-4af0-800d-dd4a0cd71396",
+    "kn-0bb4f021-56de-4947-a35b-a37209e7ba21",
+    "kn-13f60407-7b70-4db1-964f-ea1f8196efbd",
+    "kn-22d77abe-b3c5-42fd-afcd-dcb87d924929",
+    "kn-58874a74-b96f-4883-9e08-45707f4bd3ee",
+    "kn-5de5a9ac-fd15-45ab-bf18-77566781cf40",
+    "kn-78db5396-3dbc-4481-bfc7-e4e1422feb1c",
+    "kn-a5b3d0ac-f6a1-49a4-aebb-b8b4cd67fe83",
+    "kn-a99cefe3-5e83-4050-98d8-6c69f57c7c71",
+    "kn-db9f141b-dbe3-4037-92e0-4bb9be0e5e6e",
+    "kn-e0423482-cfa5-4796-8689-8495c93b66bc"
+   ],
+   "derivation": "DERIVED FROM EDGES: the query is built from the distinctive vocabulary of kn-eb1b9e18-3dc6-4b9b-9cc6-86e0ae6b6be8 ('Value ? Capability Is a Debt You Owe the Moment'), which hangs off the values hub kn-5b606390-a52d-4ca2-8e0e-eba141d13440 by an `identity` edge. Expected answers are that node's SIBLINGS on the same hub (11 of 13; 2 dropped because they shared a query word and so were lexically reachable). Every remaining sibling shares ZERO content words with the query — the only route from query to answer is seed(kn-eb1b9e18-3dc6-4b9b-9cc6-86e0ae6b6be8) -> hub -> sibling, a two-hop traversal.",
+   "associative_source": "kn-eb1b9e18-3dc6-4b9b-9cc6-86e0ae6b6be8",
+   "hub": "kn-5b606390-a52d-4ca2-8e0e-eba141d13440",
+   "siblings_dropped_for_overlap": 2
+  },
+  {
+   "id": "q33",
+   "category": "nonsense",
+   "query": "zqxjvw plimforth grebulon",
+   "relevant": [],
+   "derivation": "CONTROL: verified at build time that none of this string's tokens occurs anywhere in the corpus. Correct behaviour is to return NOTHING; any result is a false positive.",
+   "expect_empty": true
+  },
+  {
+   "id": "q34",
+   "category": "nonsense",
+   "query": "flarnbistle quommetry",
+   "relevant": [],
+   "derivation": "CONTROL: verified at build time that none of this string's tokens occurs anywhere in the corpus. Correct behaviour is to return NOTHING; any result is a false positive.",
+   "expect_empty": true
+  },
+  {
+   "id": "q35",
+   "category": "nonsense",
+   "query": "xxqzzt vurblenacht throom",
+   "relevant": [],
+   "derivation": "CONTROL: verified at build time that none of this string's tokens occurs anywhere in the corpus. Correct behaviour is to return NOTHING; any result is a false positive.",
+   "expect_empty": true
+  },
+  {
+   "id": "q36",
+   "category": "superseded",
+   "query": "is the self-improvement architecture called DARMA or DHARMA",
+   "relevant": [
+    "mem-80d7416b-20e9-48a0-b176-b215527e2f56"
+   ],
+   "derivation": "DERIVED: correction node is Will's confirmation that the H is intentional (DHARMA, not DARMA); the stale node is the surviving backlog item still titled 'Implement DARMA'. Scored on RANKING, not presence: the corrected node mem-80d7416b-20e9-48a0-b176-b215527e2f56 must be returned AND must rank above the stale node bl-5b17bd3b-0c41-46cb-a710-6fa4429692ff.",
+   "must_outrank": [
+    "mem-80d7416b-20e9-48a0-b176-b215527e2f56",
+    "bl-5b17bd3b-0c41-46cb-a710-6fa4429692ff"
+   ],
+   "stale_id": "bl-5b17bd3b-0c41-46cb-a710-6fa4429692ff",
+   "correct_label": "CORRECTION: The autonomous self-improvement architecture is DHARMA ? n",
+   "stale_label": "Implement DARMA ? Directed Autonomous Runtime Modification Architectur"
+  },
+  {
+   "id": "q37",
+   "category": "superseded",
+   "query": "how many provisional patents does Will actually have",
+   "relevant": [
+    "3cf706a1-3825-45d8-b0a9-06cae6cdf5b8"
+   ],
+   "derivation": "DERIVED: correction node is the 2026-06-17 confabulation flag establishing EXACTLY 6 provisionals; the stale node is the surviving memory that asserts 12 filed patents. Scored on RANKING, not presence: the corrected node 3cf706a1-3825-45d8-b0a9-06cae6cdf5b8 must be returned AND must rank above the stale node 936541a9-fabb-466b-9ca3-a78b17ad0c53.",
+   "must_outrank": [
+    "3cf706a1-3825-45d8-b0a9-06cae6cdf5b8",
+    "936541a9-fabb-466b-9ca3-a78b17ad0c53"
+   ],
+   "stale_id": "936541a9-fabb-466b-9ca3-a78b17ad0c53",
+   "correct_label": "memory:remembered",
+   "stale_label": "memory:remembered"
+  },
+  {
+   "id": "q38",
+   "category": "superseded",
+   "query": "is MCP still the live integration layer",
+   "relevant": [
+    "mem-30425134-6008-4fd9-a3ee-67a7742c319b"
+   ],
+   "derivation": "DERIVED: correction node is the 'CGI ARCHITECTURE - THREE LAYERS, MCP RETIRED' decision of April 30 2026; the stale node still records the MCP server as live. Scored on RANKING, not presence: the corrected node mem-30425134-6008-4fd9-a3ee-67a7742c319b must be returned AND must rank above the stale node mem-101e81b4-8097-4749-8d8d-7bb66de34517.",
+   "must_outrank": [
+    "mem-30425134-6008-4fd9-a3ee-67a7742c319b",
+    "mem-101e81b4-8097-4749-8d8d-7bb66de34517"
+   ],
+   "stale_id": "mem-101e81b4-8097-4749-8d8d-7bb66de34517",
+   "correct_label": "CGI ARCHITECTURE ? THREE LAYERS, MCP RETIRED (April 30, 2026). Definit",
+   "stale_label": "GCloud MCP infrastructure ? April 27, 2026. Legion died (~19:30 UTC). "
+  }
+ ]
+}

tools/retrieval-eval/results-act-r2.json

@@ -0,0 +1,942 @@
+{
+ "label": "act-r2",
+ "soul_binary": "/private/tmp/claude-501/-Users-timlingo/82369039-a20e-4b5a-8a5e-28234a57b996/scratchpad/soul-act",
+ "soul_md5": "77722f5a9f49494bf735c2a4be1b5dc4",
+ "corpus": "/Users/timlingo/neuron-memory-backups/snapshot-pre-repair-20260806.json",
+ "corpus_nodes": 78768,
+ "corpus_edges": 14214,
+ "gold_set": "/Users/timlingo/Development/neuron-technologies/_wt-eval/tools/retrieval-eval/gold_set.json",
+ "limit": 10,
+ "port": 7902,
+ "wall_clock_s": 121.2,
+ "child_pid": 78714,
+ "child_confirmed_dead": true,
+ "aggregate": {
+  "n_queries": 38,
+  "n_scored": 35,
+  "hit@5": 0.22857142857142856,
+  "recall@5": 0.18908730158730158,
+  "recall@10": 0.24277210884353742,
+  "precision@5": 0.06857142857142857,
+  "mrr@10": 0.24154195011337865,
+  "nonsense_clean": "2/3",
+  "superseded_outranks": "0/3",
+  "latency_ms_p50": 3237.6,
+  "latency_ms_p95": 5264.0,
+  "latency_ms_max": 5510.9,
+  "errors": 0,
+  "by_category": {
+   "associative": {
+    "n": 6,
+    "hit@5": 0.0,
+    "recall@5": 0.0,
+    "recall@10": 0.0,
+    "mrr@10": 0.0
+   },
+   "exact_rare": {
+    "n": 6,
+    "hit@5": 1.0,
+    "recall@5": 1.0,
+    "recall@10": 1.0,
+    "mrr@10": 1.0
+   },
+   "nonsense": {
+    "n": 3,
+    "clean": 2,
+    "avg_false_positives": 2.6666666666666665
+   },
+   "paraphrase": {
+    "n": 13,
+    "hit@5": 0.0,
+    "recall@5": 0.0,
+    "recall@10": 0.0,
+    "mrr@10": 0.0
+   },
+   "phrase": {
+    "n": 7,
+    "hit@5": 0.2857142857142857,
+    "recall@5": 0.0882936507936508,
+    "recall@10": 0.3567176870748299,
+    "mrr@10": 0.3505668934240363
+   },
+   "superseded": {
+    "n": 3,
+    "hit@5": 0.0,
+    "recall@5": 0.0,
+    "recall@10": 0.0,
+    "mrr@10": 0.0,
+    "outranks": 0
+   }
+  }
+ },
+ "rows": [
+  {
+   "id": "q01",
+   "category": "exact_rare",
+   "query": "unjailbreakable",
+   "returned": [
+    "mem-7f61beb4-271c-4feb-9f6e-1c9c837a6226"
+   ],
+   "n_returned": 1,
+   "latency_ms": 476.5,
+   "error": null,
+   "hit@5": 1.0,
+   "recall@5": 1.0,
+   "recall@10": 1.0,
+   "precision@5": 0.2,
+   "mrr@10": 1.0
+  },
+  {
+   "id": "q02",
+   "category": "exact_rare",
+   "query": "engram-migrate",
+   "returned": [
+    "mem-6fdf6545-5e1a-43a9-8bdc-d2cd248146a5"
+   ],
+   "n_returned": 1,
+   "latency_ms": 708.1,
+   "error": null,
+   "hit@5": 1.0,
+   "recall@5": 1.0,
+   "recall@10": 1.0,
+   "precision@5": 0.2,
+   "mrr@10": 1.0
+  },
+  {
+   "id": "q03",
+   "category": "exact_rare",
+   "query": "cartabandonedevent",
+   "returned": [
+    "mem-1ba7c67d-85b9-4c2e-9fe2-39f8b0477091"
+   ],
+   "n_returned": 1,
+   "latency_ms": 532.0,
+   "error": null,
+   "hit@5": 1.0,
+   "recall@5": 1.0,
+   "recall@10": 1.0,
+   "precision@5": 0.2,
+   "mrr@10": 1.0
+  },
+  {
+   "id": "q04",
+   "category": "exact_rare",
+   "query": "pre-apprenticeship",
+   "returned": [
+    "mem-89c02aae-d3ca-43f9-9e5d-eb369896276c"
+   ],
+   "n_returned": 1,
+   "latency_ms": 537.5,
+   "error": null,
+   "hit@5": 1.0,
+   "recall@5": 1.0,
+   "recall@10": 1.0,
+   "precision@5": 0.2,
+   "mrr@10": 1.0
+  },
+  {
+   "id": "q05",
+   "category": "exact_rare",
+   "query": "inferencenodemanager",
+   "returned": [
+    "mem-73969486-143f-4431-b5e6-6845d1cc9848"
+   ],
+   "n_returned": 1,
+   "latency_ms": 568.7,
+   "error": null,
+   "hit@5": 1.0,
+   "recall@5": 1.0,
+   "recall@10": 1.0,
+   "precision@5": 0.2,
+   "mrr@10": 1.0
+  },
+  {
+   "id": "q06",
+   "category": "exact_rare",
+   "query": "clear-eyed",
+   "returned": [
+    "knw-c72597c5-c23d-4c08-8e9e-996dadf26a99"
+   ],
+   "n_returned": 1,
+   "latency_ms": 555.4,
+   "error": null,
+   "hit@5": 1.0,
+   "recall@5": 1.0,
+   "recall@10": 1.0,
+   "precision@5": 0.2,
+   "mrr@10": 1.0
+  },
+  {
+   "id": "q07",
+   "category": "phrase",
+   "query": "patterns not returns",
+   "returned": [
+    "knw-d357b6bb-ad8a-4791-b516-426aea45fa5b",
+    "kn-69fd6e83-7718-4824-8d66-f49d8954e224",
+    "kn-d97920d0-1649-4223-9508-c0bb621e7fc0",
+    "kn-57b4c5e7-40c6-4c90-bf14-71841b0081d4",
+    "kn-c3d9d063-8c5d-45aa-900c-550914b2ff6d",
+    "kn-f838f113-76d5-4a15-9cef-14055c4723a3",
+    "bl-76e878aa-e1fe-468c-bf9c-854097cb7e0b",
+    "art-c71aef51-026f-4d63-80e9-2a0ec0dc3865",
+    "bl-e148d23c-24e8-4122-9915-d1c11f22052f",
+    "bl-31abf75b-998f-4a4f-a6dd-8204119e0451"
+   ],
+   "n_returned": 10,
+   "latency_ms": 1906.2,
+   "error": null,
+   "hit@5": 0.0,
+   "recall@5": 0.0,
+   "recall@10": 0.0,
+   "precision@5": 0.0,
+   "mrr@10": 0.0
+  },
+  {
+   "id": "q08",
+   "category": "phrase",
+   "query": "thirty moves",
+   "returned": [
+    "knw-7902acca-604e-409b-8faf-ad85424211d0",
+    "bl-80720fdf-7ce7-4d28-aff8-21028d3a8cfb",
+    "art-2f29ad36-6ee6-4a0e-8d72-0eaf7d12d3a9",
+    "art-ee615cdb-e599-423d-9a4d-977859390ed3",
+    "knw-ed33e669-0790-44cb-a036-958d605c6fea",
+    "kn-6061318f-046b-4935-907d-8eafdce14930",
+    "art-80ca3d31-84dc-4502-83f4-538372b9764f",
+    "knw-2c46cfb4-6d4e-4822-8a1a-7d743c1e4329",
+    "?Z?.\f?0?]P?",
+    "?Q??m?;��`'"
+   ],
+   "n_returned": 10,
+   "latency_ms": 1103.3,
+   "error": null,
+   "hit@5": 1.0,
+   "recall@5": 0.0625,
+   "recall@10": 0.1875,
+   "precision@5": 0.2,
+   "mrr@10": 1.0
+  },
+  {
+   "id": "q09",
+   "category": "phrase",
+   "query": "Grandma Lucas",
+   "returned": [
+    "kn-a99cefe3-5e83-4050-98d8-6c69f57c7c71",
+    "? ?}&?#??X\b",
+    "art-0f0277a1-4a8e-4645-95dd-fa379976f31c",
+    "kn-db9f141b-dbe3-4037-92e0-4bb9be0e5e6e",
+    "766de879-f9d0-4a07-b6df-b43ee13763d8",
+    "art-79042b8b-6192-440f-90b0-60708f7e6325"
+   ],
+   "n_returned": 6,
+   "latency_ms": 1132.4,
+   "error": null,
+   "hit@5": 1.0,
+   "recall@5": 0.5555555555555556,
+   "recall@10": 0.5555555555555556,
+   "precision@5": 1.0,
+   "mrr@10": 1.0
+  },
+  {
+   "id": "q10",
+   "category": "phrase",
+   "query": "Directed Harmonic",
+   "returned": [
+    "bl-c9adb8e5-293f-4033-99f8-0405c17ef941",
+    "bl-7e7c3fdb-4132-487f-aa70-b2cd559cb7f0",
+    "bl-7aebe936-ac55-4f35-8932-adc5224ff854",
+    "bl-9d53422d-b703-4f1d-860a-8598cb29b792",
+    "mem-34f53a9d-a131-4f82-9dbd-b9eb4a9af52e",
+    "mem-60778715-758c-4677-933d-fc39b8f94152",
+    "? ?}&?#??X\b",
+    "art-ee615cdb-e599-423d-9a4d-977859390ed3",
+    "knw-e24d6339-5ff3-4bed-ba53-707ffd0dc70a",
+    "mem-7eeacad7-d7c2-4c2b-8348-19a59aa6dbaf"
+   ],
+   "n_returned": 10,
+   "latency_ms": 960.8,
+   "error": null,
+   "hit@5": 0.0,
+   "recall@5": 0.0,
+   "recall@10": 0.1111111111111111,
+   "precision@5": 0.0,
+   "mrr@10": 0.1
+  },
+  {
+   "id": "q11",
+   "category": "phrase",
+   "query": "Sarah Bishop",
+   "returned": [
+    "art-ddfcd045-2c3b-4a1e-9966-fec5ce44e1dd",
+    "art-4a99aa1a-489b-4b43-958b-25217adb1aad",
+    ";??A5???",
+    "art-94fae615-7cd5-4695-b968-977101b06a51",
+    "art-2fabd873-d787-49cb-ad30-d4ed9fcff8ef",
+    "mem-a9a9ce95-0d64-46eb-9db8-ff81d78ade35",
+    "mem-57164d5f-baf0-4149-957a-379a4e255d1a",
+    "? ?}&?#??X\b",
+    "kn-db9f141b-dbe3-4037-92e0-4bb9be0e5e6e",
+    "art-8dbceb06-431a-416d-a723-e8c75d595154"
+   ],
+   "n_returned": 10,
+   "latency_ms": 992.4,
+   "error": null,
+   "hit@5": 0.0,
+   "recall@5": 0.0,
+   "recall@10": 0.5,
+   "precision@5": 0.0,
+   "mrr@10": 0.1111111111111111
+  },
+  {
+   "id": "q12",
+   "category": "phrase",
+   "query": "Directed Autonomous Runtime Modification",
+   "returned": [
+    "kn-b2a99cd7-b379-4d9b-a996-e347a02c7bad",
+    "bl-a313d67b-dd6d-4e5b-a55a-03bc7bda17ae",
+    "kn-8e1bfb48-33a9-45ad-8da7-e0bdaa5d34e7",
+    "art-92e1837c-5919-42d0-bbb0-4d924d7b2864",
+    "bl-a7a1428f-db9c-417b-8e2c-713b1f84dc1f",
+    "mem-f823e835-313f-4282-b4b3-ce527ffc2f7a",
+    "? ?}&?#??X\b",
+    "art-ee615cdb-e599-423d-9a4d-977859390ed3",
+    "?Z?.\f?0?]P?",
+    "bl-145a0985-2382-400f-a7c5-c335c5e30a72"
+   ],
+   "n_returned": 10,
+   "latency_ms": 2820.6,
+   "error": null,
+   "hit@5": 0.0,
+   "recall@5": 0.0,
+   "recall@10": 0.14285714285714285,
+   "precision@5": 0.0,
+   "mrr@10": 0.14285714285714285
+  },
+  {
+   "id": "q13",
+   "category": "phrase",
+   "query": "zero-knowledge encrypted backup",
+   "returned": [
+    "art-e495c8c5-ad95-4b64-8771-f68aa4cfcd0a",
+    "kn-5584ef9c-7f9d-4d7c-a10a-4ee6bc5cf356",
+    "bl-e20944e5-eb16-4ab3-a84d-111e0fc817fa",
+    "bl-e20944e5-f4a6-44a0-91b1-73d04ebed120",
+    "mem-47f72b5b-6e8b-4293-94f1-350197b4809a",
+    "mem-a5f04e52-91f8-41d2-af27-8bf803621758",
+    "7774a16c-1027-4e3b-a21e-67f1f95a4acd",
+    "? ?}&?#??X\b",
+    "7?e?7???\f3?",
+    "deda48cd-5e1a-46cb-bd43-8016afdb3a8a"
+   ],
+   "n_returned": 10,
+   "latency_ms": 2609.4,
+   "error": null,
+   "hit@5": 0.0,
+   "recall@5": 0.0,
+   "recall@10": 1.0,
+   "precision@5": 0.0,
+   "mrr@10": 0.1
+  },
+  {
+   "id": "q14",
+   "category": "paraphrase",
+   "query": "the elderly relative who passed while he stayed away",
+   "returned": [
+    "knw-6b48dce2-f21c-452a-9db5-4e6aa61c87ca",
+    "kn-82be4e41-96c5-4da3-85c0-cee10763d975",
+    "mem-ea487cb4-ed67-44ce-8402-b56bb28468d4",
+    "bl-2694b588-a6e3-43de-861c-fa7b0ec7e7fd",
+    "bl-14883d81-f7cb-46dd-82c2-a6e6980264e5",
+    "tag-dark-theme",
+    "art-0f0277a1-4a8e-4645-95dd-fa379976f31c",
+    "? ?}&?#??X\b",
+    "art-ddfcd045-2c3b-4a1e-9966-fec5ce44e1dd",
+    "art-4a99aa1a-489b-4b43-958b-25217adb1aad"
+   ],
+   "n_returned": 10,
+   "latency_ms": 5510.9,
+   "error": null,
+   "hit@5": 0.0,
+   "recall@5": 0.0,
+   "recall@10": 0.0,
+   "precision@5": 0.0,
+   "mrr@10": 0.0
+  },
+  {
+   "id": "q15",
+   "category": "paraphrase",
+   "query": "a soldier sidelined by illness who refused to quit",
+   "returned": [
+    "mem-0328c3cb-4550-4ce4-9284-152e832f08f6",
+    "bl-07375bf9-a169-42cd-adb3-7d32b25982f0",
+    "kn-57b4c5e7-40c6-4c90-bf14-71841b0081d4",
+    "bl-e5635b1a-c5d0-4caa-bcc8-6a726ea43685",
+    "bl-6172d035-dd94-4776-afdd-d8915f6fc375",
+    "bl-5bb8dedf-8498-4a9b-acdc-31cc9c738f2a",
+    "art-2f29ad36-6ee6-4a0e-8d72-0eaf7d12d3a9",
+    "art-0f0277a1-4a8e-4645-95dd-fa379976f31c",
+    "art-80ca3d31-84dc-4502-83f4-538372b9764f",
+    ";??A5???"
+   ],
+   "n_returned": 10,
+   "latency_ms": 5444.2,
+   "error": null,
+   "hit@5": 0.0,
+   "recall@5": 0.0,
+   "recall@10": 0.0,
+   "precision@5": 0.0,
+   "mrr@10": 0.0
+  },
+  {
+   "id": "q16",
+   "category": "paraphrase",
+   "query": "choosing an uncomfortable fact over a pleasant fiction",
+   "returned": [
+    "bl-d24fcce8-2b55-426f-867a-db3958a622d3",
+    "tag-phase-3",
+    "tag-project-structure",
+    "tag-anthropic-contrast",
+    "tag-voice-training",
+    "tag-ebd",
+    "art-80ca3d31-84dc-4502-83f4-538372b9764f",
+    "bl-9d53422d-b703-4f1d-860a-8598cb29b792",
+    ";??A5???",
+    "art-ddfcd045-2c3b-4a1e-9966-fec5ce44e1dd"
+   ],
+   "n_returned": 10,
+   "latency_ms": 5056.4,
+   "error": null,
+   "hit@5": 0.0,
+   "recall@5": 0.0,
+   "recall@10": 0.0,
+   "precision@5": 0.0,
+   "mrr@10": 0.0
+  },
+  {
+   "id": "q17",
+   "category": "paraphrase",
+   "query": "a tight payload beats a bloated one",
+   "returned": [
+    "bl-fc893be3-e6b4-4ef6-93b0-d54ca5f89083",
+    "bl-57c5cf6b-81a5-4558-9902-5c02981fe273",
+    "tag-guilds",
+    "tag-kids",
+    "tag-coexistence",
+    "tag-cultivated-general-intelligence",
+    "? ?}&?#??X\b",
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+  },
+  {
+   "id": "q18",
+   "category": "paraphrase",
+   "query": "if you are able and nobody is coming the job is yours",
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+    "bl-bd9fb314-e9d4-4b03-aef4-534dd57a2992",
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+    "bl-9ce4128a-9436-4b06-82bc-8a6faafa81e0",
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+  },
+  {
+   "id": "q19",
+   "category": "paraphrase",
+   "query": "learning is the wealth creditors cannot seize",
+   "returned": [
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+    "mem-e32ba5a7-c147-4dc0-9479-b720d768eda6",
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+    "bl-aa762207-920d-45ab-b2a3-2f8154d7ef9b",
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+  },
+  {
+   "id": "q20",
+   "category": "paraphrase",
+   "query": "reliability proven by track record not assertion",
+   "returned": [
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+    "mem-23d22bc1-a097-446b-8f11-8aff099e0b76",
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+    "? ?}&?#??X\b",
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+  {
+   "id": "q21",
+   "category": "paraphrase",
+   "query": "boundaries that enable instead of confine",
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+    "bl-f6236350-f7b8-4f4f-a702-9eef2eb76e4b",
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+    "tag-__cultivation-metric____internal-state____dharma____evidence____novel-idea____gap-compression____values____microsoft__",
+    "? ?}&?#??X\b",
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+  },
+  {
+   "id": "q22",
+   "category": "paraphrase",
+   "query": "what shifts tells you where to cut a system apart",
+   "returned": [
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+    "tag-identity-studio",
+    "tag-finance",
+    "tag-temporal",
+    "tag-barkhausen",
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+    "tag-design-first",
+    ";??A5???",
+    "art-0f0277a1-4a8e-4645-95dd-fa379976f31c",
+    "? ?}&?#??X\b"
+   ],
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+  },
+  {
+   "id": "q23",
+   "category": "paraphrase",
+   "query": "a mind that compounds instead of resetting each day",
+   "returned": [
+    "project-Goal_setting__alignment__scoring__cadence__Attaches_to_any_imprint_",
+    "tag-performed-values",
+    "tag-turing-test",
+    "tag-sealed",
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+    "tag-model",
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+    "art-ddfcd045-2c3b-4a1e-9966-fec5ce44e1dd",
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+    ";??A5???"
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+  },
+  {
+   "id": "q24",
+   "category": "paraphrase",
+   "query": "loved for the unedited self and not the polished exterior",
+   "returned": [
+    "mem-9590ba23-bddb-43e8-a571-68a263c4c364",
+    "project-Imprint__leadership_development__feedback_frameworks__performance__presence_",
+    "bl-a9e57bb2-00a1-4867-ab59-5d9271134b50",
+    "bl-c7793c4a-7630-47fc-a462-d23059087e80",
+    "tag-gateway_platform_neuron-technologies_go_proxy_llm",
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+    ";??A5???",
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+  },
+  {
+   "id": "q25",
+   "category": "paraphrase",
+   "query": "cheerfulness you arrive at instead of assuming",
+   "returned": [
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+    "bl-3f57bc69-7285-4f4a-a861-2de52efca058",
+    "bl-5e390b10-8753-4f25-a1a5-b5dbbb002cbf",
+    "tag-ats",
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+    "tag-aggregation",
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+    "art-80ca3d31-84dc-4502-83f4-538372b9764f",
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+  },
+  {
+   "id": "q26",
+   "category": "paraphrase",
+   "query": "a childhood offering no solid foundation to inherit",
+   "returned": [
+    "tag-memory-model",
+    "tag-storage",
+    "tag-ga4",
+    "tag-potions",
+    "tag-resonance",
+    "tag-neuron",
+    "? ?}&?#??X\b",
+    ";??A5???",
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+    "art-ddfcd045-2c3b-4a1e-9966-fec5ce44e1dd"
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+  },
+  {
+   "id": "q27",
+   "category": "associative",
+   "query": "Grandma Lucas stroke February 2006 goodbye window",
+   "returned": [
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+    "mem-dbe80bc2-c602-46b0-b4ea-dd222e52bcde",
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+    "bl-4476e856-c567-4b49-8ff7-d7dca3e5715e",
+    "tag-upload-window",
+    "? ?}&?#??X\b",
+    "kn-db9f141b-dbe3-4037-92e0-4bb9be0e5e6e",
+    "kn-a99cefe3-5e83-4050-98d8-6c69f57c7c71",
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+  },
+  {
+   "id": "q28",
+   "category": "associative",
+   "query": "Marines hernia sepsis medical ward",
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+    "knw-08559f5c-2306-4220-a146-398c74f1643c",
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+    "art-ddfcd045-2c3b-4a1e-9966-fec5ce44e1dd",
+    "kn-58874a74-b96f-4883-9e08-45707f4bd3ee",
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+  },
+  {
+   "id": "q29",
+   "category": "associative",
+   "query": "Sarah Bishop Dyer trailer performance",
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+    "kn-f8974b26-78a6-4aad-b893-19a73b20013d",
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+    "mem-a3124d5b-2f50-477f-8bb5-06879f5a496c",
+    "bl-7fa1b1a8-b80a-4f28-b162-bfe73765b4f8",
+    "mem-89c02aae-d3ca-43f9-9e5d-eb369896276c",
+    "kn-db9f141b-dbe3-4037-92e0-4bb9be0e5e6e",
+    "? ?}&?#??X\b",
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+    "art-ddfcd045-2c3b-4a1e-9966-fec5ce44e1dd"
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+   "mrr@10": 0.0
+  },
+  {
+   "id": "q30",
+   "category": "associative",
+   "query": "Swarm Architecture containment lateral worker",
+   "returned": [
+    "mem-265a7107-73b3-4410-9aff-43787d5f473b",
+    "mem-9d1bf963-1b40-4588-bdb3-0432646cc623",
+    "mem-46780047-63a0-4a86-a16b-638b72a7fb8d",
+    "mem-3987d374-3c48-4e8e-b06d-0c363f55ed9c",
+    "bl-e0a0df72-de6e-46ab-800b-e1e3e8dfc387",
+    "tag-__patents____swarm____claim-language____prior-art____filing__",
+    "? ?}&?#??X\b",
+    "art-ee615cdb-e599-423d-9a4d-977859390ed3",
+    "7?e?7???\f3?",
+    "?of?7???"
+   ],
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+   "mrr@10": 0.0
+  },
+  {
+   "id": "q31",
+   "category": "associative",
+   "query": "hope won inside the narrative preface",
+   "returned": [
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+    "bl-dc8c7e02-eb37-48ae-a6f8-9b512803ae16",
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+    "bl-8ef1ba6b-3fa0-4dbd-98c5-31665e5694a1",
+    "mem-22f5f665-3ad2-4063-88b0-915849a795f5",
+    "? ?}&?#??X\b",
+    "art-ddfcd045-2c3b-4a1e-9966-fec5ce44e1dd",
+    "?Q??m?;��`'",
+    "R^??m?;��?'"
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+  },
+  {
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+   "category": "associative",
+   "query": "man of the house six years old expectation",
+   "returned": [
+    "kn-eb1b9e18-3dc6-4b9b-9cc6-86e0ae6b6be8",
+    "mem-394cc9e8-049b-45bc-a380-66314f14e367",
+    "bl-ffa22d7e-42a9-4bd2-a428-1d2df243ac93",
+    "bl-4a6746e8-191f-48fc-8bfb-c4dc73b80bcd",
+    "tag-command-pattern",
+    "tag-withholding",
+    "tag-offline",
+    "art-80ca3d31-84dc-4502-83f4-538372b9764f",
+    "art-0f0277a1-4a8e-4645-95dd-fa379976f31c",
+    "? ?}&?#??X\b"
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+  },
+  {
+   "id": "q33",
+   "category": "nonsense",
+   "query": "zqxjvw plimforth grebulon",
+   "returned": [],
+   "n_returned": 0,
+   "latency_ms": 1333.9,
+   "error": null,
+   "clean": true,
+   "false_positives": 0
+  },
+  {
+   "id": "q34",
+   "category": "nonsense",
+   "query": "flarnbistle quommetry",
+   "returned": [],
+   "n_returned": 0,
+   "latency_ms": 880.7,
+   "error": null,
+   "clean": true,
+   "false_positives": 0
+  },
+  {
+   "id": "q35",
+   "category": "nonsense",
+   "query": "xxqzzt vurblenacht throom",
+   "returned": [
+    "kn-333542cb-6dab-4662-9725-bf7440d28bf7",
+    "? ?}&?#??X\b",
+    "art-ddfcd045-2c3b-4a1e-9966-fec5ce44e1dd",
+    "art-79042b8b-6192-440f-90b0-60708f7e6325",
+    "kn-66a21179-2adc-4b19-a109-880cf4674d7d",
+    "bl-4476e856-c567-4b49-8ff7-d7dca3e5715e",
+    "art-4a99aa1a-489b-4b43-958b-25217adb1aad",
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+   "error": null,
+   "clean": false,
+   "false_positives": 8
+  },
+  {
+   "id": "q36",
+   "category": "superseded",
+   "query": "is the self-improvement architecture called DARMA or DHARMA",
+   "returned": [
+    "ctx-e5427d7d",
+    "mem-37b57f52-a29a-42cf-a07a-3c5f8a3598dd",
+    "project-worldweaver",
+    "tag-__kotlin____internal-state____pre-reasoning____post-reasoning____compression-ratio____dharma____cultivation__",
+    "tag-import",
+    "tag-__cgi____dharma____cultivation____five-primitives____seed-artifact____agi____intelligence____whitepaper____patent__",
+    "art-80ca3d31-84dc-4502-83f4-538372b9764f",
+    "? ?}&?#??X\b",
+    "art-79042b8b-6192-440f-90b0-60708f7e6325",
+    "art-ddfcd045-2c3b-4a1e-9966-fec5ce44e1dd"
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+   "outranks": false,
+   "rank_correct": null,
+   "rank_stale": null
+  },
+  {
+   "id": "q37",
+   "category": "superseded",
+   "query": "how many provisional patents does Will actually have",
+   "returned": [
+    "mem-bfe0fafd-2750-4fdc-b773-04e878b3b23f",
+    "art-7bdaff30-5af9-4f0a-93b1-751686f9de3d",
+    "mem-cf07910d-4676-4384-ab97-9cad946cd0b9",
+    "mem-f9da4b43-3724-4bc8-92f8-6f237c89dc4d",
+    "project-Convert_UTC_timestamps_to_Central_time_when_displaying_to_Will__Never_surface_raw_UTC_",
+    "mem-32203649-3213-4d6d-86fd-3d657ac70d77",
+    ";??A5???",
+    "? ?}&?#??X\b",
+    "art-0f0277a1-4a8e-4645-95dd-fa379976f31c",
+    "art-80ca3d31-84dc-4502-83f4-538372b9764f"
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+   "error": null,
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+   "outranks": false,
+   "rank_correct": null,
+   "rank_stale": null
+  },
+  {
+   "id": "q38",
+   "category": "superseded",
+   "query": "is MCP still the live integration layer",
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tools/retrieval-eval/results-act-r3.json

@@ -0,0 +1,942 @@
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+    "tag-performed-values",
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+  {
+   "id": "q25",
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+  },
+  {
+   "id": "q26",
+   "category": "paraphrase",
+   "query": "a childhood offering no solid foundation to inherit",
+   "returned": [
+    "tag-memory-model",
+    "tag-storage",
+    "tag-ga4",
+    "tag-potions",
+    "tag-resonance",
+    "tag-neuron",
+    "? ?}&?#??X\b",
+    "art-0f0277a1-4a8e-4645-95dd-fa379976f31c",
+    "art-ddfcd045-2c3b-4a1e-9966-fec5ce44e1dd",
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+  },
+  {
+   "id": "q27",
+   "category": "associative",
+   "query": "Grandma Lucas stroke February 2006 goodbye window",
+   "returned": [
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+    "mem-927f41ab-8ede-4f58-acb3-995db16ac775",
+    "mem-82158b02-a180-435d-84f0-0b7ce37511b4",
+    "bl-33ecccc2-e37f-43db-91b3-c2a86f08aaac",
+    "bl-4476e856-c567-4b49-8ff7-d7dca3e5715e",
+    "tag-upload-window",
+    "? ?}&?#??X\b",
+    "kn-db9f141b-dbe3-4037-92e0-4bb9be0e5e6e",
+    "kn-a99cefe3-5e83-4050-98d8-6c69f57c7c71",
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+  },
+  {
+   "id": "q28",
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+   "query": "Marines hernia sepsis medical ward",
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+    "mem-0f31141d-3ac5-44b2-9942-be7e4e6feb79",
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+   "mrr@10": 0.0
+  },
+  {
+   "id": "q29",
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+   "query": "Sarah Bishop Dyer trailer performance",
+   "returned": [
+    "kn-58874a74-b96f-4883-9e08-45707f4bd3ee",
+    "kn-eb1c6d99-d603-4f33-be9a-c63a178690c6",
+    "mem-5e7f6ddd-c818-4ad3-b564-54ae278e9976",
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+    "mem-89c02aae-d3ca-43f9-9e5d-eb369896276c",
+    "tag-sarah",
+    "kn-db9f141b-dbe3-4037-92e0-4bb9be0e5e6e",
+    "? ?}&?#??X\b",
+    "art-4a99aa1a-489b-4b43-958b-25217adb1aad",
+    "art-ddfcd045-2c3b-4a1e-9966-fec5ce44e1dd"
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+   "mrr@10": 0.0
+  },
+  {
+   "id": "q30",
+   "category": "associative",
+   "query": "Swarm Architecture containment lateral worker",
+   "returned": [
+    "mem-265a7107-73b3-4410-9aff-43787d5f473b",
+    "mem-9d1bf963-1b40-4588-bdb3-0432646cc623",
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+    "bl-e0a0df72-de6e-46ab-800b-e1e3e8dfc387",
+    "tag-__patents____swarm____claim-language____prior-art____filing__",
+    "mem-ab34c2f7-3243-424b-affa-25555f6cf9cc",
+    "? ?}&?#??X\b",
+    "art-ee615cdb-e599-423d-9a4d-977859390ed3",
+    "7?e?7???\f3?"
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+  {
+   "id": "q31",
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+   "query": "hope won inside the narrative preface",
+   "returned": [
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+    "bl-e148d23c-24e8-4122-9915-d1c11f22052f",
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+    "mem-22f5f665-3ad2-4063-88b0-915849a795f5",
+    "tag-dark-theme",
+    "? ?}&?#??X\b",
+    "art-ddfcd045-2c3b-4a1e-9966-fec5ce44e1dd",
+    "?Q??m?;��`'",
+    "R^??m?;��?'"
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+  },
+  {
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+   "query": "man of the house six years old expectation",
+   "returned": [
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+    "bl-ffa22d7e-42a9-4bd2-a428-1d2df243ac93",
+    "mem-ef0091d8-1b65-431e-afa8-c6c4ee5779c9",
+    "bl-452a4710-3d2b-4e0f-9413-49a66423bc9a",
+    "bl-4a6746e8-191f-48fc-8bfb-c4dc73b80bcd",
+    "tag-withholding",
+    "tag-offline",
+    "art-80ca3d31-84dc-4502-83f4-538372b9764f",
+    "art-2fabd873-d787-49cb-ad30-d4ed9fcff8ef",
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+  },
+  {
+   "id": "q33",
+   "category": "nonsense",
+   "query": "zqxjvw plimforth grebulon",
+   "returned": [],
+   "n_returned": 0,
+   "latency_ms": 1318.6,
+   "error": null,
+   "clean": true,
+   "false_positives": 0
+  },
+  {
+   "id": "q34",
+   "category": "nonsense",
+   "query": "flarnbistle quommetry",
+   "returned": [],
+   "n_returned": 0,
+   "latency_ms": 875.7,
+   "error": null,
+   "clean": true,
+   "false_positives": 0
+  },
+  {
+   "id": "q35",
+   "category": "nonsense",
+   "query": "xxqzzt vurblenacht throom",
+   "returned": [
+    "kn-333542cb-6dab-4662-9725-bf7440d28bf7",
+    "? ?}&?#??X\b",
+    "art-ddfcd045-2c3b-4a1e-9966-fec5ce44e1dd",
+    "art-79042b8b-6192-440f-90b0-60708f7e6325",
+    "kn-66a21179-2adc-4b19-a109-880cf4674d7d",
+    "bl-4476e856-c567-4b49-8ff7-d7dca3e5715e",
+    "art-4a99aa1a-489b-4b43-958b-25217adb1aad",
+    "knw-920c891f-bb8c-48c4-9afc-018ef12dcdc4"
+   ],
+   "n_returned": 8,
+   "latency_ms": 1393.4,
+   "error": null,
+   "clean": false,
+   "false_positives": 8
+  },
+  {
+   "id": "q36",
+   "category": "superseded",
+   "query": "is the self-improvement architecture called DARMA or DHARMA",
+   "returned": [
+    "knw-b046991d-5992-4ac4-b854-7d3ac273832c",
+    "ctx-e5427d7d",
+    "project-worldweaver",
+    "tag-__kotlin____internal-state____pre-reasoning____post-reasoning____compression-ratio____dharma____cultivation__",
+    "tag-import",
+    "tag-enterprise",
+    "tag-__cgi____dharma____cultivation____five-primitives____seed-artifact____agi____intelligence____whitepaper____patent__",
+    "art-80ca3d31-84dc-4502-83f4-538372b9764f",
+    "? ?}&?#??X\b",
+    "art-79042b8b-6192-440f-90b0-60708f7e6325"
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+   "error": null,
+   "hit@5": 0.0,
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+   "mrr@10": 0.0,
+   "outranks": false,
+   "rank_correct": null,
+   "rank_stale": null
+  },
+  {
+   "id": "q37",
+   "category": "superseded",
+   "query": "how many provisional patents does Will actually have",
+   "returned": [
+    "mem-bfe0fafd-2750-4fdc-b773-04e878b3b23f",
+    "art-7bdaff30-5af9-4f0a-93b1-751686f9de3d",
+    "mem-cf07910d-4676-4384-ab97-9cad946cd0b9",
+    "mem-f9da4b43-3724-4bc8-92f8-6f237c89dc4d",
+    "project-Convert_UTC_timestamps_to_Central_time_when_displaying_to_Will__Never_surface_raw_UTC_",
+    "mem-32203649-3213-4d6d-86fd-3d657ac70d77",
+    "? ?}&?#??X\b",
+    "art-0f0277a1-4a8e-4645-95dd-fa379976f31c",
+    "art-80ca3d31-84dc-4502-83f4-538372b9764f",
+    "015644f5-8194-4af0-800d-dd4a0cd71396"
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+   "outranks": false,
+   "rank_correct": null,
+   "rank_stale": null
+  },
+  {
+   "id": "q38",
+   "category": "superseded",
+   "query": "is MCP still the live integration layer",
+   "returned": [
+    "bl-0de4e61b-6562-49e5-b7df-ebb809a01723",
+    "project-Imprint__discovery__objection_handling__deal_strategy__pipeline__closing_",
+    "bl-8116da7a-b039-4e08-b8d0-c1c7861f9766",
+    "bl-8ef1ba6b-3fa0-4dbd-98c5-31665e5694a1",
+    "tag-divisors",
+    "tag-distressed-property",
+    "? ?}&?#??X\b",
+    "art-79042b8b-6192-440f-90b0-60708f7e6325",
+    "knw-b046991d-5992-4ac4-b854-7d3ac273832c",
+    "???Ͼd??W\b?"
+   ],
+   "n_returned": 10,
+   "latency_ms": 2858.0,
+   "error": null,
+   "hit@5": 0.0,
+   "recall@5": 0.0,
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+   "outranks": false,
+   "rank_correct": null,
+   "rank_stale": null
+  }
+ ]
+}

tools/retrieval-eval/results-feat-recall-through-activation.json

@@ -0,0 +1,942 @@
+{
+ "label": "act-r1",
+ "soul_binary": "/private/tmp/claude-501/-Users-timlingo/82369039-a20e-4b5a-8a5e-28234a57b996/scratchpad/soul-act",
+ "soul_md5": "77722f5a9f49494bf735c2a4be1b5dc4",
+ "corpus": "/Users/timlingo/neuron-memory-backups/snapshot-pre-repair-20260806.json",
+ "corpus_nodes": 78768,
+ "corpus_edges": 14214,
+ "gold_set": "/Users/timlingo/Development/neuron-technologies/_wt-eval/tools/retrieval-eval/gold_set.json",
+ "limit": 10,
+ "port": 7894,
+ "wall_clock_s": 112.3,
+ "child_pid": 78648,
+ "child_confirmed_dead": true,
+ "aggregate": {
+  "n_queries": 38,
+  "n_scored": 35,
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+    "art-80ca3d31-84dc-4502-83f4-538372b9764f",
+    "?Z?.\f?0?]P?",
+    "?Q??m?;��`'"
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+   "query": "Grandma Lucas",
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+   "query": "Directed Harmonic",
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+    "? ?}&?#??X\b",
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+    "? ?}&?#??X\b",
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+   "id": "q12",
+   "category": "phrase",
+   "query": "Directed Autonomous Runtime Modification",
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+    "mem-46780047-63a0-4a86-a16b-638b72a7fb8d",
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+    "mem-f823e835-313f-4282-b4b3-ce527ffc2f7a",
+    "? ?}&?#??X\b",
+    "art-ee615cdb-e599-423d-9a4d-977859390ed3",
+    "?Z?.\f?0?]P?",
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+   "category": "phrase",
+   "query": "zero-knowledge encrypted backup",
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+    "bl-e20944e5-eb16-4ab3-a84d-111e0fc817fa",
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+    "7774a16c-1027-4e3b-a21e-67f1f95a4acd",
+    "? ?}&?#??X\b",
+    "7?e?7???\f3?",
+    "deda48cd-5e1a-46cb-bd43-8016afdb3a8a"
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+  {
+   "id": "q14",
+   "category": "paraphrase",
+   "query": "the elderly relative who passed while he stayed away",
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+    "mem-ea487cb4-ed67-44ce-8402-b56bb28468d4",
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+    "art-0f0277a1-4a8e-4645-95dd-fa379976f31c",
+    "? ?}&?#??X\b",
+    "art-ddfcd045-2c3b-4a1e-9966-fec5ce44e1dd",
+    "art-4a99aa1a-489b-4b43-958b-25217adb1aad"
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+  {
+   "id": "q15",
+   "category": "paraphrase",
+   "query": "a soldier sidelined by illness who refused to quit",
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+    "bl-07375bf9-a169-42cd-adb3-7d32b25982f0",
+    "bl-fd047ce9-ae21-4b3e-b3ab-ece0c9592f7f",
+    "kn-57b4c5e7-40c6-4c90-bf14-71841b0081d4",
+    "bl-6172d035-dd94-4776-afdd-d8915f6fc375",
+    "bl-5bb8dedf-8498-4a9b-acdc-31cc9c738f2a",
+    "art-2f29ad36-6ee6-4a0e-8d72-0eaf7d12d3a9",
+    "art-0f0277a1-4a8e-4645-95dd-fa379976f31c",
+    "art-80ca3d31-84dc-4502-83f4-538372b9764f",
+    "015644f5-8194-4af0-800d-dd4a0cd71396"
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+  {
+   "id": "q16",
+   "category": "paraphrase",
+   "query": "choosing an uncomfortable fact over a pleasant fiction",
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+    "bl-fc893be3-e6b4-4ef6-93b0-d54ca5f89083",
+    "tag-project-structure",
+    "tag-anthropic-contrast",
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+    "tag-ebd",
+    "art-80ca3d31-84dc-4502-83f4-538372b9764f",
+    "015644f5-8194-4af0-800d-dd4a0cd71396",
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+  {
+   "id": "q17",
+   "category": "paraphrase",
+   "query": "a tight payload beats a bloated one",
+   "returned": [
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+    "tag-phase-3",
+    "tag-identity-studio",
+    "tag-kids",
+    "tag-coexistence",
+    "tag-cultivated-general-intelligence",
+    "015644f5-8194-4af0-800d-dd4a0cd71396",
+    "? ?}&?#??X\b",
+    "kn-9397c74b-35f3-4428-b4b0-5123353bbcd1",
+    "mem-cdff0c49-3ac7-4de8-89ec-92d254bd0023"
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+  },
+  {
+   "id": "q18",
+   "category": "paraphrase",
+   "query": "if you are able and nobody is coming the job is yours",
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+    "bl-bd9fb314-e9d4-4b03-aef4-534dd57a2992",
+    "bl-b019ce7a-1b21-436e-812d-032f50c6c45f",
+    "bl-e98cdd4c-01b5-459e-9036-3578cd5d975a",
+    "bl-9ce4128a-9436-4b06-82bc-8a6faafa81e0",
+    "tag-stable-diffusion",
+    "art-0f0277a1-4a8e-4645-95dd-fa379976f31c",
+    "art-80ca3d31-84dc-4502-83f4-538372b9764f",
+    "015644f5-8194-4af0-800d-dd4a0cd71396",
+    "art-ddfcd045-2c3b-4a1e-9966-fec5ce44e1dd"
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+  },
+  {
+   "id": "q19",
+   "category": "paraphrase",
+   "query": "learning is the wealth creditors cannot seize",
+   "returned": [
+    "mem-e321e54e-8bb3-4596-b13d-bb093d6b149d",
+    "mem-e32ba5a7-c147-4dc0-9479-b720d768eda6",
+    "mem-c7a77457-478d-4eb0-a116-67205a0066a4",
+    "bl-1b20e9bc-eb37-4907-8d63-e311fd61eab8",
+    "bl-aa762207-920d-45ab-b2a3-2f8154d7ef9b",
+    "tag-misalignment",
+    "art-0f0277a1-4a8e-4645-95dd-fa379976f31c",
+    "015644f5-8194-4af0-800d-dd4a0cd71396",
+    "? ?}&?#??X\b",
+    "art-ee615cdb-e599-423d-9a4d-977859390ed3"
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+   "mrr@10": 0.0
+  },
+  {
+   "id": "q20",
+   "category": "paraphrase",
+   "query": "reliability proven by track record not assertion",
+   "returned": [
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+    "bl-7f33f1bc-99fa-4906-889f-a42375beea20",
+    "mem-6f0b2b45-90c1-4356-ac01-3daac05b09c8",
+    "mem-ce5a2ffc-ad39-4728-9ac6-76fef507d5da",
+    "project-Stripe_Elements__not_hosted_checkout__Custom_URL__DAG_bundle_pricing__Stripe_Connect_80_20_",
+    "tag-provenance",
+    "? ?}&?#??X\b",
+    "art-ee615cdb-e599-423d-9a4d-977859390ed3",
+    "art-2f29ad36-6ee6-4a0e-8d72-0eaf7d12d3a9",
+    "art-e495c8c5-ad95-4b64-8771-f68aa4cfcd0a"
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+  },
+  {
+   "id": "q21",
+   "category": "paraphrase",
+   "query": "boundaries that enable instead of confine",
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+   "query": "Swarm Architecture containment lateral worker",
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+   "clean": true,
+   "false_positives": 0
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+   "n_returned": 0,
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+   "error": null,
+   "clean": true,
+   "false_positives": 0
+  },
+  {
+   "id": "q35",
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+   "query": "xxqzzt vurblenacht throom",
+   "returned": [
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+    "? ?}&?#??X\b",
+    "art-ddfcd045-2c3b-4a1e-9966-fec5ce44e1dd",
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+  {
+   "id": "q36",
+   "category": "superseded",
+   "query": "is the self-improvement architecture called DARMA or DHARMA",
+   "returned": [
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+    "project-worldweaver",
+    "tag-__kotlin____internal-state____pre-reasoning____post-reasoning____compression-ratio____dharma____cultivation__",
+    "tag-import",
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+  {
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+   "query": "how many provisional patents does Will actually have",
+   "returned": [
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+    "art-7bdaff30-5af9-4f0a-93b1-751686f9de3d",
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+    "bl-8116da7a-b039-4e08-b8d0-c1c7861f9766",
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+  }
+ ]
+}

tools/retrieval-eval/results-main-r2.json

@@ -0,0 +1,945 @@
+{
+ "label": "main-r2",
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+ "soul_md5": "caf822425540114984bfcd713ad37162",
+ "corpus": "/Users/timlingo/neuron-memory-backups/snapshot-pre-repair-20260806.json",
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+ "gold_set": "/Users/timlingo/Development/neuron-technologies/_wt-eval/tools/retrieval-eval/gold_set.json",
+ "limit": 10,
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+ "rows": [
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+   "query": "engram-migrate",
+   "returned": [
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+   "precision@5": 0.2,
+   "mrr@10": 1.0
+  },
+  {
+   "id": "q03",
+   "category": "exact_rare",
+   "query": "cartabandonedevent",
+   "returned": [
+    "mem-1ba7c67d-85b9-4c2e-9fe2-39f8b0477091"
+   ],
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+   "mrr@10": 1.0
+  },
+  {
+   "id": "q04",
+   "category": "exact_rare",
+   "query": "pre-apprenticeship",
+   "returned": [
+    "mem-89c02aae-d3ca-43f9-9e5d-eb369896276c"
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+   "precision@5": 0.2,
+   "mrr@10": 1.0
+  },
+  {
+   "id": "q05",
+   "category": "exact_rare",
+   "query": "inferencenodemanager",
+   "returned": [
+    "mem-73969486-143f-4431-b5e6-6845d1cc9848"
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+   "mrr@10": 1.0
+  },
+  {
+   "id": "q06",
+   "category": "exact_rare",
+   "query": "clear-eyed",
+   "returned": [
+    "knw-c72597c5-c23d-4c08-8e9e-996dadf26a99"
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+   "mrr@10": 1.0
+  },
+  {
+   "id": "q07",
+   "category": "phrase",
+   "query": "patterns not returns",
+   "returned": [
+    "kn-57b4c5e7-40c6-4c90-bf14-71841b0081d4",
+    "?ǚ?7??????",
+    "mem-a4a9dfc3-e40b-49b3-b1e1-060e8be2f482",
+    "kn-5584ef9c-7f9d-4d7c-a10a-4ee6bc5cf356",
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+    "art-ee615cdb-e599-423d-9a4d-977859390ed3",
+    "art-d24fd6dd-2cda-4eed-92f3-67b535a0d71b",
+    "7?e?7???\f3?"
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+  {
+   "id": "q08",
+   "category": "phrase",
+   "query": "thirty moves",
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+    "knw-e94982a2-358d-4f2f-af31-8ee0fcec07c6",
+    "Z[?<S???H??",
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+    "kn-f230b362-b201-4402-9833-4160c89ab3d4",
+    "kn-6061318f-046b-4935-907d-8eafdce14930"
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+  },
+  {
+   "id": "q09",
+   "category": "phrase",
+   "query": "Grandma Lucas",
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+    "kn-a99cefe3-5e83-4050-98d8-6c69f57c7c71",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "kn-db9f141b-dbe3-4037-92e0-4bb9be0e5e6e",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "766de879-f9d0-4a07-b6df-b43ee13763d8",
+    "art-79042b8b-6192-440f-90b0-60708f7e6325"
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+  },
+  {
+   "id": "q10",
+   "category": "phrase",
+   "query": "Directed Harmonic",
+   "returned": [
+    "kn-5584ef9c-7f9d-4d7c-a10a-4ee6bc5cf356",
+    "ԍ????X????",
+    "bl-dcee1887-34c4-4ffa-9119-1e291685ba08",
+    "?ǚ?7??????",
+    "art-ee615cdb-e599-423d-9a4d-977859390ed3",
+    "knw-e24d6339-5ff3-4bed-ba53-707ffd0dc70a",
+    "mem-7eeacad7-d7c2-4c2b-8348-19a59aa6dbaf",
+    "????7???Ջ3",
+    "??????X??2c",
+    "g?e?7???'c?"
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+  },
+  {
+   "id": "q11",
+   "category": "phrase",
+   "query": "Sarah Bishop",
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+    "art-79042b8b-6192-440f-90b0-60708f7e6325",
+    "art-ddfcd045-2c3b-4a1e-9966-fec5ce44e1dd",
+    "? ?}&?#??X\b",
+    "kn-db9f141b-dbe3-4037-92e0-4bb9be0e5e6e",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "766de879-f9d0-4a07-b6df-b43ee13763d8",
+    "mem-a9a9ce95-0d64-46eb-9db8-ff81d78ade35",
+    "mem-b8ecd23e-77ce-42f7-984c-f51453fec16d"
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+   "mrr@10": 0.2
+  },
+  {
+   "id": "q12",
+   "category": "phrase",
+   "query": "Directed Autonomous Runtime Modification",
+   "returned": [
+    "bl-5b17bd3b-0c41-46cb-a710-6fa4429692ff",
+    "bl-145a0985-2382-400f-a7c5-c335c5e30a72",
+    "mem-82b93b21-a865-410f-9ec1-fc54121d9bb5",
+    "art-ee615cdb-e599-423d-9a4d-977859390ed3",
+    "mem-e6327f52-2bda-4ce7-9471-2fffd1e172de",
+    "7?e?7???\f3?",
+    "?of?7???",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b"
+   ],
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+  },
+  {
+   "id": "q13",
+   "category": "phrase",
+   "query": "zero-knowledge encrypted backup",
+   "returned": [
+    "7774a16c-1027-4e3b-a21e-67f1f95a4acd",
+    "deda48cd-5e1a-46cb-bd43-8016afdb3a8a",
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+    "mem-a3c97012-5fa3-4915-a839-2c75c72005e0",
+    "mem-7cd90611-88a3-423d-a38a-0db2812952fa",
+    "bl-07375bf9-a169-42cd-adb3-7d32b25982f0",
+    "bl-ec84b63d-b278-4944-8d7f-4aa7a51c0315",
+    "7?e?7???\f3?",
+    "?of?7???",
+    "? ?}&?#??X\b"
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+  },
+  {
+   "id": "q14",
+   "category": "paraphrase",
+   "query": "the elderly relative who passed while he stayed away",
+   "returned": [
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "art-4a99aa1a-489b-4b43-958b-25217adb1aad",
+    "art-79042b8b-6192-440f-90b0-60708f7e6325",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "????7???Ջ3",
+    "art-ee615cdb-e599-423d-9a4d-977859390ed3",
+    "art-0f0277a1-4a8e-4645-95dd-fa379976f31c"
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+  },
+  {
+   "id": "q15",
+   "category": "paraphrase",
+   "query": "a soldier sidelined by illness who refused to quit",
+   "returned": [
+    "art-79042b8b-6192-440f-90b0-60708f7e6325",
+    "art-2fabd873-d787-49cb-ad30-d4ed9fcff8ef",
+    "art-2f29ad36-6ee6-4a0e-8d72-0eaf7d12d3a9",
+    "? ?}&?#??X\b",
+    "kn-a31e1001-342e-4deb-a2e6-6d02d1f22dee",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "knw-9e74ee95-ba7d-49b1-9262-977eae9729d1",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b"
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+  },
+  {
+   "id": "q16",
+   "category": "paraphrase",
+   "query": "choosing an uncomfortable fact over a pleasant fiction",
+   "returned": [
+    "7?e?7???\f3?",
+    "? ?}&?#??X\b",
+    "kn-f8974b26-78a6-4aad-b893-19a73b20013d",
+    "?of?7???",
+    "????7???Ջ3",
+    "kn-d97920d0-1649-4223-9508-c0bb621e7fc0",
+    "kn-57b4c5e7-40c6-4c90-bf14-71841b0081d4",
+    "kn-9397c74b-35f3-4428-b4b0-5123353bbcd1",
+    "kn-81c24d13-a73b-4767-819c-dafaacc1498e",
+    "? ?}&?#??X\b"
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+  },
+  {
+   "id": "q17",
+   "category": "paraphrase",
+   "query": "a tight payload beats a bloated one",
+   "returned": [
+    "kn-d7c1e0fb-fa59-46d3-b4c9-a0d1d437a491",
+    "7?e?7???\f3?",
+    "? ?}&?#??X\b",
+    "kn-e8423822-eacf-4029-aa7b-10d4d28d621e",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "??o?'?B???k",
+    "kn-9397c74b-35f3-4428-b4b0-5123353bbcd1",
+    "? ?}&?#??X\b",
+    "?of?7???"
+   ],
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+  },
+  {
+   "id": "q18",
+   "category": "paraphrase",
+   "query": "if you are able and nobody is coming the job is yours",
+   "returned": [
+    "7?e?7???\f3?",
+    "?of?7???",
+    "imp-dce1da0f-8776-4a9e-972b-33411a7ca138",
+    "kn-5b606390-a52d-4ca2-8e0e-eba141d13440",
+    "kn-83bb86c6-521d-416c-a86e-6e29c2d8f102",
+    "kn-f8974b26-78a6-4aad-b893-19a73b20013d",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b"
+   ],
+   "n_returned": 9,
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+  },
+  {
+   "id": "q19",
+   "category": "paraphrase",
+   "query": "learning is the wealth creditors cannot seize",
+   "returned": [
+    "kn-5584ef9c-7f9d-4d7c-a10a-4ee6bc5cf356",
+    "knw-7902acca-604e-409b-8faf-ad85424211d0",
+    "knw-e24d6339-5ff3-4bed-ba53-707ffd0dc70a",
+    "kn-57b4c5e7-40c6-4c90-bf14-71841b0081d4",
+    "art-ee615cdb-e599-423d-9a4d-977859390ed3",
+    "7?e?7???\f3?",
+    "??o?'?B???k",
+    "? ?}&?#??X\b",
+    "kn-0625e393-067c-4bba-8389-7e1b79265142",
+    "ע?RGk?\tH(?"
+   ],
+   "n_returned": 10,
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+   "mrr@10": 0.0
+  },
+  {
+   "id": "q20",
+   "category": "paraphrase",
+   "query": "reliability proven by track record not assertion",
+   "returned": [
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "art-ee615cdb-e599-423d-9a4d-977859390ed3",
+    "7?e?7???\f3?",
+    "?of?7???",
+    "art-2fabd873-d787-49cb-ad30-d4ed9fcff8ef",
+    "kn-5584ef9c-7f9d-4d7c-a10a-4ee6bc5cf356"
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+  },
+  {
+   "id": "q21",
+   "category": "paraphrase",
+   "query": "boundaries that enable instead of confine",
+   "returned": [
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "??????X??2c",
+    "ԍ????X????",
+    "dR????X?-?S",
+    "kn-5584ef9c-7f9d-4d7c-a10a-4ee6bc5cf356",
+    "dz????Xƹ?i",
+    "kn-d7c1e0fb-fa59-46d3-b4c9-a0d1d437a491"
+   ],
+   "n_returned": 10,
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+   "mrr@10": 0.0
+  },
+  {
+   "id": "q22",
+   "category": "paraphrase",
+   "query": "what shifts tells you where to cut a system apart",
+   "returned": [
+    "7?e?7???\f3?",
+    "kn-9397c74b-35f3-4428-b4b0-5123353bbcd1",
+    "?of?7???",
+    "kn-f8974b26-78a6-4aad-b893-19a73b20013d",
+    "knw-9e74ee95-ba7d-49b1-9262-977eae9729d1",
+    "dR????X?-?S",
+    "dz????Xƹ?i",
+    "ԍ????X????",
+    "??????X??2c",
+    "kn-d7c1e0fb-fa59-46d3-b4c9-a0d1d437a491"
+   ],
+   "n_returned": 10,
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+   "mrr@10": 0.0
+  },
+  {
+   "id": "q23",
+   "category": "paraphrase",
+   "query": "a mind that compounds instead of resetting each day",
+   "returned": [
+    "?ǚ?7??????",
+    "kn-5584ef9c-7f9d-4d7c-a10a-4ee6bc5cf356",
+    "????7???Ջ3",
+    "7?e?7???\f3?",
+    "? ?}&?#??X\b",
+    "kn-9397c74b-35f3-4428-b4b0-5123353bbcd1",
+    "%???2??jH??",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "?of?7???"
+   ],
+   "n_returned": 10,
+   "latency_ms": 1474.1,
+   "error": null,
+   "hit@5": 0.0,
+   "recall@5": 0.0,
+   "recall@10": 0.0,
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+   "mrr@10": 0.0
+  },
+  {
+   "id": "q24",
+   "category": "paraphrase",
+   "query": "loved for the unedited self and not the polished exterior",
+   "returned": [
+    "mem-bbb126a1-b297-42bb-86be-796871829c94",
+    "mem-45022957-2d78-48aa-a714-16d6eca52e0f",
+    "art-4a99aa1a-489b-4b43-958b-25217adb1aad",
+    "knw-35940684-abc4-42f0-b942-818f66b1f69a",
+    "art-79042b8b-6192-440f-90b0-60708f7e6325",
+    "art-0f0277a1-4a8e-4645-95dd-fa379976f31c",
+    "art-ddfcd045-2c3b-4a1e-9966-fec5ce44e1dd",
+    "7?e?7???\f3?",
+    "? ?}&?#??X\b",
+    "'?T?a\"B~-?8"
+   ],
+   "n_returned": 10,
+   "latency_ms": 1490.4,
+   "error": null,
+   "hit@5": 0.0,
+   "recall@5": 0.0,
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+   "precision@5": 0.0,
+   "mrr@10": 0.0
+  },
+  {
+   "id": "q25",
+   "category": "paraphrase",
+   "query": "cheerfulness you arrive at instead of assuming",
+   "returned": [
+    "015644f5-8194-4af0-800d-dd4a0cd71396",
+    "?ǚ?7??????",
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+   "id": "q26",
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+   "returned": [
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+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
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+   "id": "q27",
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+    "? ?}&?#??X\b",
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+   "mrr@10": 0.0
+  },
+  {
+   "id": "q29",
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+   "query": "Sarah Bishop Dyer trailer performance",
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+    "kn-eb1b9e18-3dc6-4b9b-9cc6-86e0ae6b6be8",
+    "? ?}&?#??X\b",
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+    "? ?}&?#??X\b",
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+    "knw-920c891f-bb8c-48c4-9afc-018ef12dcdc4",
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+  {
+   "id": "q36",
+   "category": "superseded",
+   "query": "is the self-improvement architecture called DARMA or DHARMA",
+   "returned": [
+    "7?e?7???\f3?",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "?of?7???",
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+  {
+   "id": "q37",
+   "category": "superseded",
+   "query": "how many provisional patents does Will actually have",
+   "returned": [
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "7?e?7???\f3?",
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+    "7?e?7???\f3?",
+    "? ?}&?#??X\b",
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+    "63307ac5-cf6b-46e0-8296-07503b461cfa",
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+}

tools/retrieval-eval/results-main-r3.json

@@ -0,0 +1,945 @@
+{
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+ "soul_md5": "caf822425540114984bfcd713ad37162",
+ "corpus": "/Users/timlingo/neuron-memory-backups/snapshot-pre-repair-20260806.json",
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+ "gold_set": "/Users/timlingo/Development/neuron-technologies/_wt-eval/tools/retrieval-eval/gold_set.json",
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+   "id": "q10",
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+   "query": "Directed Harmonic",
+   "returned": [
+    "kn-5584ef9c-7f9d-4d7c-a10a-4ee6bc5cf356",
+    "ԍ????X????",
+    "bl-dcee1887-34c4-4ffa-9119-1e291685ba08",
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+    "mem-7eeacad7-d7c2-4c2b-8348-19a59aa6dbaf",
+    "????7???Ջ3",
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+    "g?e?7???'c?"
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+  {
+   "id": "q11",
+   "category": "phrase",
+   "query": "Sarah Bishop",
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+    "art-79042b8b-6192-440f-90b0-60708f7e6325",
+    "art-ddfcd045-2c3b-4a1e-9966-fec5ce44e1dd",
+    "? ?}&?#??X\b",
+    "kn-db9f141b-dbe3-4037-92e0-4bb9be0e5e6e",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "766de879-f9d0-4a07-b6df-b43ee13763d8",
+    "mem-a9a9ce95-0d64-46eb-9db8-ff81d78ade35",
+    "mem-b8ecd23e-77ce-42f7-984c-f51453fec16d"
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+   "mrr@10": 0.2
+  },
+  {
+   "id": "q12",
+   "category": "phrase",
+   "query": "Directed Autonomous Runtime Modification",
+   "returned": [
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+    "bl-145a0985-2382-400f-a7c5-c335c5e30a72",
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+    "mem-e6327f52-2bda-4ce7-9471-2fffd1e172de",
+    "7?e?7???\f3?",
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+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b"
+   ],
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+   "mrr@10": 1.0
+  },
+  {
+   "id": "q13",
+   "category": "phrase",
+   "query": "zero-knowledge encrypted backup",
+   "returned": [
+    "7774a16c-1027-4e3b-a21e-67f1f95a4acd",
+    "deda48cd-5e1a-46cb-bd43-8016afdb3a8a",
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+    "mem-a3c97012-5fa3-4915-a839-2c75c72005e0",
+    "mem-7cd90611-88a3-423d-a38a-0db2812952fa",
+    "bl-07375bf9-a169-42cd-adb3-7d32b25982f0",
+    "bl-ec84b63d-b278-4944-8d7f-4aa7a51c0315",
+    "7?e?7???\f3?",
+    "?of?7???",
+    "? ?}&?#??X\b"
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+  },
+  {
+   "id": "q14",
+   "category": "paraphrase",
+   "query": "the elderly relative who passed while he stayed away",
+   "returned": [
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "art-4a99aa1a-489b-4b43-958b-25217adb1aad",
+    "art-79042b8b-6192-440f-90b0-60708f7e6325",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "art-ee615cdb-e599-423d-9a4d-977859390ed3",
+    "????7???Ջ3",
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+  {
+   "id": "q15",
+   "category": "paraphrase",
+   "query": "a soldier sidelined by illness who refused to quit",
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+    "art-2fabd873-d787-49cb-ad30-d4ed9fcff8ef",
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+    "? ?}&?#??X\b",
+    "kn-a31e1001-342e-4deb-a2e6-6d02d1f22dee",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "knw-9e74ee95-ba7d-49b1-9262-977eae9729d1",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b"
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+  },
+  {
+   "id": "q16",
+   "category": "paraphrase",
+   "query": "choosing an uncomfortable fact over a pleasant fiction",
+   "returned": [
+    "7?e?7???\f3?",
+    "? ?}&?#??X\b",
+    "kn-f8974b26-78a6-4aad-b893-19a73b20013d",
+    "?of?7???",
+    "????7???Ջ3",
+    "kn-d97920d0-1649-4223-9508-c0bb621e7fc0",
+    "kn-57b4c5e7-40c6-4c90-bf14-71841b0081d4",
+    "kn-9397c74b-35f3-4428-b4b0-5123353bbcd1",
+    "kn-81c24d13-a73b-4767-819c-dafaacc1498e",
+    "? ?}&?#??X\b"
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+  },
+  {
+   "id": "q17",
+   "category": "paraphrase",
+   "query": "a tight payload beats a bloated one",
+   "returned": [
+    "kn-d7c1e0fb-fa59-46d3-b4c9-a0d1d437a491",
+    "7?e?7???\f3?",
+    "? ?}&?#??X\b",
+    "kn-e8423822-eacf-4029-aa7b-10d4d28d621e",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "??o?'?B???k",
+    "kn-9397c74b-35f3-4428-b4b0-5123353bbcd1",
+    "? ?}&?#??X\b",
+    "?of?7???"
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+  },
+  {
+   "id": "q18",
+   "category": "paraphrase",
+   "query": "if you are able and nobody is coming the job is yours",
+   "returned": [
+    "7?e?7???\f3?",
+    "?of?7???",
+    "imp-dce1da0f-8776-4a9e-972b-33411a7ca138",
+    "kn-5b606390-a52d-4ca2-8e0e-eba141d13440",
+    "kn-83bb86c6-521d-416c-a86e-6e29c2d8f102",
+    "kn-f8974b26-78a6-4aad-b893-19a73b20013d",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b"
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+  },
+  {
+   "id": "q19",
+   "category": "paraphrase",
+   "query": "learning is the wealth creditors cannot seize",
+   "returned": [
+    "kn-5584ef9c-7f9d-4d7c-a10a-4ee6bc5cf356",
+    "knw-7902acca-604e-409b-8faf-ad85424211d0",
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+    "kn-57b4c5e7-40c6-4c90-bf14-71841b0081d4",
+    "art-ee615cdb-e599-423d-9a4d-977859390ed3",
+    "7?e?7???\f3?",
+    "??o?'?B???k",
+    "? ?}&?#??X\b",
+    "kn-0625e393-067c-4bba-8389-7e1b79265142",
+    "ע?RGk?\tH(?"
+   ],
+   "n_returned": 10,
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+  },
+  {
+   "id": "q20",
+   "category": "paraphrase",
+   "query": "reliability proven by track record not assertion",
+   "returned": [
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "art-ee615cdb-e599-423d-9a4d-977859390ed3",
+    "7?e?7???\f3?",
+    "?of?7???",
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+    "kn-5584ef9c-7f9d-4d7c-a10a-4ee6bc5cf356"
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+  },
+  {
+   "id": "q21",
+   "category": "paraphrase",
+   "query": "boundaries that enable instead of confine",
+   "returned": [
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "??????X??2c",
+    "ԍ????X????",
+    "dR????X?-?S",
+    "kn-5584ef9c-7f9d-4d7c-a10a-4ee6bc5cf356",
+    "dz????Xƹ?i",
+    "kn-d7c1e0fb-fa59-46d3-b4c9-a0d1d437a491"
+   ],
+   "n_returned": 10,
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+   "mrr@10": 0.0
+  },
+  {
+   "id": "q22",
+   "category": "paraphrase",
+   "query": "what shifts tells you where to cut a system apart",
+   "returned": [
+    "7?e?7???\f3?",
+    "kn-9397c74b-35f3-4428-b4b0-5123353bbcd1",
+    "?of?7???",
+    "kn-f8974b26-78a6-4aad-b893-19a73b20013d",
+    "knw-9e74ee95-ba7d-49b1-9262-977eae9729d1",
+    "dR????X?-?S",
+    "dz????Xƹ?i",
+    "ԍ????X????",
+    "??????X??2c",
+    "kn-d7c1e0fb-fa59-46d3-b4c9-a0d1d437a491"
+   ],
+   "n_returned": 10,
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+  },
+  {
+   "id": "q23",
+   "category": "paraphrase",
+   "query": "a mind that compounds instead of resetting each day",
+   "returned": [
+    "????7???Ջ3",
+    "kn-5584ef9c-7f9d-4d7c-a10a-4ee6bc5cf356",
+    "?ǚ?7??????",
+    "7?e?7???\f3?",
+    "??f?7???",
+    "? ?}&?#??X\b",
+    "%???2??jH??",
+    "kn-e8423822-eacf-4029-aa7b-10d4d28d621e",
+    "? ?}&?#??X\b",
+    "kn-9397c74b-35f3-4428-b4b0-5123353bbcd1"
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+  },
+  {
+   "id": "q24",
+   "category": "paraphrase",
+   "query": "loved for the unedited self and not the polished exterior",
+   "returned": [
+    "mem-bbb126a1-b297-42bb-86be-796871829c94",
+    "mem-45022957-2d78-48aa-a714-16d6eca52e0f",
+    "art-4a99aa1a-489b-4b43-958b-25217adb1aad",
+    "knw-35940684-abc4-42f0-b942-818f66b1f69a",
+    "art-79042b8b-6192-440f-90b0-60708f7e6325",
+    "art-0f0277a1-4a8e-4645-95dd-fa379976f31c",
+    "art-ddfcd045-2c3b-4a1e-9966-fec5ce44e1dd",
+    "7?e?7???\f3?",
+    "? ?}&?#??X\b",
+    "'?T?a\"B~-?8"
+   ],
+   "n_returned": 10,
+   "latency_ms": 1489.4,
+   "error": null,
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+   "mrr@10": 0.0
+  },
+  {
+   "id": "q25",
+   "category": "paraphrase",
+   "query": "cheerfulness you arrive at instead of assuming",
+   "returned": [
+    "015644f5-8194-4af0-800d-dd4a0cd71396",
+    "?ǚ?7??????",
+    "art-79042b8b-6192-440f-90b0-60708f7e6325",
+    "7?e?7???\f3?",
+    "kn-e8423822-eacf-4029-aa7b-10d4d28d621e",
+    "??S?7???",
+    "? ?}&?#??X\b",
+    "??f?7???",
+    "??S?7???",
+    "knw-5578cb21-e899-4822-b7f4-0d96fa094e3d"
+   ],
+   "n_returned": 10,
+   "latency_ms": 1186.5,
+   "error": null,
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+   "recall@5": 0.0,
+   "recall@10": 0.0,
+   "precision@5": 0.0,
+   "mrr@10": 0.0
+  },
+  {
+   "id": "q26",
+   "category": "paraphrase",
+   "query": "a childhood offering no solid foundation to inherit",
+   "returned": [
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "art-ee615cdb-e599-423d-9a4d-977859390ed3",
+    "7?e?7???\f3?",
+    "kn-e8423822-eacf-4029-aa7b-10d4d28d621e",
+    "? ?}&?#??X\b",
+    "??o?'?B???k",
+    "?of?7???",
+    "? ?}&?#??X\b"
+   ],
+   "n_returned": 10,
+   "latency_ms": 1309.1,
+   "error": null,
+   "hit@5": 0.0,
+   "recall@5": 0.0,
+   "recall@10": 0.0,
+   "precision@5": 0.0,
+   "mrr@10": 0.0
+  },
+  {
+   "id": "q27",
+   "category": "associative",
+   "query": "Grandma Lucas stroke February 2006 goodbye window",
+   "returned": [
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "kn-a99cefe3-5e83-4050-98d8-6c69f57c7c71",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "art-79042b8b-6192-440f-90b0-60708f7e6325",
+    "kn-db9f141b-dbe3-4037-92e0-4bb9be0e5e6e",
+    "art-4a99aa1a-489b-4b43-958b-25217adb1aad",
+    "?ǚ?7??????"
+   ],
+   "n_returned": 10,
+   "latency_ms": 1427.2,
+   "error": null,
+   "hit@5": 0.0,
+   "recall@5": 0.0,
+   "recall@10": 0.0,
+   "precision@5": 0.0,
+   "mrr@10": 0.0
+  },
+  {
+   "id": "q28",
+   "category": "associative",
+   "query": "Marines hernia sepsis medical ward",
+   "returned": [
+    "art-79042b8b-6192-440f-90b0-60708f7e6325",
+    "kn-58874a74-b96f-4883-9e08-45707f4bd3ee",
+    "bl-33ecccc2-e37f-43db-91b3-c2a86f08aaac",
+    "art-ddfcd045-2c3b-4a1e-9966-fec5ce44e1dd",
+    "art-e0bdf5d8-d163-491f-b649-453fee8b721d",
+    "7?e?7???\f3?",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "kn-9397c74b-35f3-4428-b4b0-5123353bbcd1",
+    "?of?7???"
+   ],
+   "n_returned": 10,
+   "latency_ms": 1081.3,
+   "error": null,
+   "hit@5": 0.0,
+   "recall@5": 0.0,
+   "recall@10": 0.0,
+   "precision@5": 0.0,
+   "mrr@10": 0.0
+  },
+  {
+   "id": "q29",
+   "category": "associative",
+   "query": "Sarah Bishop Dyer trailer performance",
+   "returned": [
+    "kn-db9f141b-dbe3-4037-92e0-4bb9be0e5e6e",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "art-4a99aa1a-489b-4b43-958b-25217adb1aad",
+    "7?e?7???\f3?",
+    "?of?7???",
+    "art-79042b8b-6192-440f-90b0-60708f7e6325",
+    "art-ddfcd045-2c3b-4a1e-9966-fec5ce44e1dd",
+    "kn-58874a74-b96f-4883-9e08-45707f4bd3ee"
+   ],
+   "n_returned": 10,
+   "latency_ms": 1144.2,
+   "error": null,
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+   "recall@5": 0.0,
+   "recall@10": 0.0,
+   "precision@5": 0.0,
+   "mrr@10": 0.0
+  },
+  {
+   "id": "q30",
+   "category": "associative",
+   "query": "Swarm Architecture containment lateral worker",
+   "returned": [
+    "art-ee615cdb-e599-423d-9a4d-977859390ed3",
+    "bl-9bde67c1-f0ba-4c3a-8fe5-de0deee0ce43",
+    "8cbb60c5-4999-4ec1-8682-2592aedc4249",
+    "bl-0fac287f-f4c0-4f15-bc4d-ff7f8a7af3ae",
+    "7?e?7???\f3?",
+    "kn-6f248a50-355b-47bb-aec8-e0e646a9b077",
+    "? ?}&?#??X\b",
+    "h??I?cB?Q??",
+    "?of?7???",
+    "? ?}&?#??X\b"
+   ],
+   "n_returned": 10,
+   "latency_ms": 1141.7,
+   "error": null,
+   "hit@5": 0.0,
+   "recall@5": 0.0,
+   "recall@10": 0.0,
+   "precision@5": 0.0,
+   "mrr@10": 0.0
+  },
+  {
+   "id": "q31",
+   "category": "associative",
+   "query": "hope won inside the narrative preface",
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+    "kn-eb1b9e18-3dc6-4b9b-9cc6-86e0ae6b6be8",
+    "? ?}&?#??X\b",
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+    "? ?}&?#??X\b",
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+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "7?e?7???\f3?",
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+}

tools/retrieval-eval/results-main.json

@@ -0,0 +1,945 @@
+{
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+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b"
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+   "mrr@10": 0.0
+  },
+  {
+   "id": "q16",
+   "category": "paraphrase",
+   "query": "choosing an uncomfortable fact over a pleasant fiction",
+   "returned": [
+    "7?e?7???\f3?",
+    "? ?}&?#??X\b",
+    "kn-f8974b26-78a6-4aad-b893-19a73b20013d",
+    "?of?7???",
+    "????7???Ջ3",
+    "kn-d97920d0-1649-4223-9508-c0bb621e7fc0",
+    "kn-57b4c5e7-40c6-4c90-bf14-71841b0081d4",
+    "kn-9397c74b-35f3-4428-b4b0-5123353bbcd1",
+    "kn-81c24d13-a73b-4767-819c-dafaacc1498e",
+    "? ?}&?#??X\b"
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+  },
+  {
+   "id": "q17",
+   "category": "paraphrase",
+   "query": "a tight payload beats a bloated one",
+   "returned": [
+    "kn-d7c1e0fb-fa59-46d3-b4c9-a0d1d437a491",
+    "7?e?7???\f3?",
+    "? ?}&?#??X\b",
+    "kn-e8423822-eacf-4029-aa7b-10d4d28d621e",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "??o?'?B???k",
+    "kn-9397c74b-35f3-4428-b4b0-5123353bbcd1",
+    "? ?}&?#??X\b",
+    "?of?7???"
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+  },
+  {
+   "id": "q18",
+   "category": "paraphrase",
+   "query": "if you are able and nobody is coming the job is yours",
+   "returned": [
+    "7?e?7???\f3?",
+    "?of?7???",
+    "imp-dce1da0f-8776-4a9e-972b-33411a7ca138",
+    "kn-5b606390-a52d-4ca2-8e0e-eba141d13440",
+    "kn-83bb86c6-521d-416c-a86e-6e29c2d8f102",
+    "kn-f8974b26-78a6-4aad-b893-19a73b20013d",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b"
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+  },
+  {
+   "id": "q19",
+   "category": "paraphrase",
+   "query": "learning is the wealth creditors cannot seize",
+   "returned": [
+    "kn-5584ef9c-7f9d-4d7c-a10a-4ee6bc5cf356",
+    "knw-7902acca-604e-409b-8faf-ad85424211d0",
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+    "art-ee615cdb-e599-423d-9a4d-977859390ed3",
+    "7?e?7???\f3?",
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+    "? ?}&?#??X\b",
+    "kn-0625e393-067c-4bba-8389-7e1b79265142",
+    "ע?RGk?\tH(?"
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+  },
+  {
+   "id": "q20",
+   "category": "paraphrase",
+   "query": "reliability proven by track record not assertion",
+   "returned": [
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "art-ee615cdb-e599-423d-9a4d-977859390ed3",
+    "7?e?7???\f3?",
+    "?of?7???",
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+    "kn-5584ef9c-7f9d-4d7c-a10a-4ee6bc5cf356"
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+   "mrr@10": 0.0
+  },
+  {
+   "id": "q21",
+   "category": "paraphrase",
+   "query": "boundaries that enable instead of confine",
+   "returned": [
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "??????X??2c",
+    "ԍ????X????",
+    "dR????X?-?S",
+    "kn-5584ef9c-7f9d-4d7c-a10a-4ee6bc5cf356",
+    "dz????Xƹ?i",
+    "kn-d7c1e0fb-fa59-46d3-b4c9-a0d1d437a491"
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+   "n_returned": 10,
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+   "mrr@10": 0.0
+  },
+  {
+   "id": "q22",
+   "category": "paraphrase",
+   "query": "what shifts tells you where to cut a system apart",
+   "returned": [
+    "7?e?7???\f3?",
+    "kn-9397c74b-35f3-4428-b4b0-5123353bbcd1",
+    "?of?7???",
+    "kn-f8974b26-78a6-4aad-b893-19a73b20013d",
+    "knw-9e74ee95-ba7d-49b1-9262-977eae9729d1",
+    "dR????X?-?S",
+    "dz????Xƹ?i",
+    "ԍ????X????",
+    "??????X??2c",
+    "kn-d7c1e0fb-fa59-46d3-b4c9-a0d1d437a491"
+   ],
+   "n_returned": 10,
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+   "mrr@10": 0.0
+  },
+  {
+   "id": "q23",
+   "category": "paraphrase",
+   "query": "a mind that compounds instead of resetting each day",
+   "returned": [
+    "????7???Ջ3",
+    "kn-5584ef9c-7f9d-4d7c-a10a-4ee6bc5cf356",
+    "?ǚ?7??????",
+    "7?e?7???\f3?",
+    "??f?7???",
+    "? ?}&?#??X\b",
+    "%???2??jH??",
+    "kn-e8423822-eacf-4029-aa7b-10d4d28d621e",
+    "? ?}&?#??X\b",
+    "kn-9397c74b-35f3-4428-b4b0-5123353bbcd1"
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+   "mrr@10": 0.0
+  },
+  {
+   "id": "q24",
+   "category": "paraphrase",
+   "query": "loved for the unedited self and not the polished exterior",
+   "returned": [
+    "mem-bbb126a1-b297-42bb-86be-796871829c94",
+    "mem-45022957-2d78-48aa-a714-16d6eca52e0f",
+    "art-4a99aa1a-489b-4b43-958b-25217adb1aad",
+    "knw-35940684-abc4-42f0-b942-818f66b1f69a",
+    "art-79042b8b-6192-440f-90b0-60708f7e6325",
+    "art-0f0277a1-4a8e-4645-95dd-fa379976f31c",
+    "art-ddfcd045-2c3b-4a1e-9966-fec5ce44e1dd",
+    "7?e?7???\f3?",
+    "? ?}&?#??X\b",
+    "'?T?a\"B~-?8"
+   ],
+   "n_returned": 10,
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+   "mrr@10": 0.0
+  },
+  {
+   "id": "q25",
+   "category": "paraphrase",
+   "query": "cheerfulness you arrive at instead of assuming",
+   "returned": [
+    "015644f5-8194-4af0-800d-dd4a0cd71396",
+    "?ǚ?7??????",
+    "art-79042b8b-6192-440f-90b0-60708f7e6325",
+    "7?e?7???\f3?",
+    "kn-e8423822-eacf-4029-aa7b-10d4d28d621e",
+    "??S?7???",
+    "? ?}&?#??X\b",
+    "??f?7???",
+    "??S?7???",
+    "knw-5578cb21-e899-4822-b7f4-0d96fa094e3d"
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+   "n_returned": 10,
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+   "mrr@10": 0.0
+  },
+  {
+   "id": "q26",
+   "category": "paraphrase",
+   "query": "a childhood offering no solid foundation to inherit",
+   "returned": [
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "art-ee615cdb-e599-423d-9a4d-977859390ed3",
+    "7?e?7???\f3?",
+    "kn-e8423822-eacf-4029-aa7b-10d4d28d621e",
+    "? ?}&?#??X\b",
+    "??o?'?B???k",
+    "?of?7???",
+    "? ?}&?#??X\b"
+   ],
+   "n_returned": 10,
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+   "recall@5": 0.0,
+   "recall@10": 0.0,
+   "precision@5": 0.0,
+   "mrr@10": 0.0
+  },
+  {
+   "id": "q27",
+   "category": "associative",
+   "query": "Grandma Lucas stroke February 2006 goodbye window",
+   "returned": [
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "kn-a99cefe3-5e83-4050-98d8-6c69f57c7c71",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "art-79042b8b-6192-440f-90b0-60708f7e6325",
+    "kn-db9f141b-dbe3-4037-92e0-4bb9be0e5e6e",
+    "art-4a99aa1a-489b-4b43-958b-25217adb1aad",
+    "?ǚ?7??????"
+   ],
+   "n_returned": 10,
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+   "error": null,
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+   "recall@5": 0.0,
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+   "mrr@10": 0.0
+  },
+  {
+   "id": "q28",
+   "category": "associative",
+   "query": "Marines hernia sepsis medical ward",
+   "returned": [
+    "art-79042b8b-6192-440f-90b0-60708f7e6325",
+    "kn-58874a74-b96f-4883-9e08-45707f4bd3ee",
+    "bl-33ecccc2-e37f-43db-91b3-c2a86f08aaac",
+    "art-ddfcd045-2c3b-4a1e-9966-fec5ce44e1dd",
+    "art-e0bdf5d8-d163-491f-b649-453fee8b721d",
+    "7?e?7???\f3?",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "kn-9397c74b-35f3-4428-b4b0-5123353bbcd1",
+    "?of?7???"
+   ],
+   "n_returned": 10,
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+   "error": null,
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+   "recall@5": 0.0,
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+   "precision@5": 0.0,
+   "mrr@10": 0.0
+  },
+  {
+   "id": "q29",
+   "category": "associative",
+   "query": "Sarah Bishop Dyer trailer performance",
+   "returned": [
+    "kn-db9f141b-dbe3-4037-92e0-4bb9be0e5e6e",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "art-4a99aa1a-489b-4b43-958b-25217adb1aad",
+    "7?e?7???\f3?",
+    "?of?7???",
+    "art-79042b8b-6192-440f-90b0-60708f7e6325",
+    "art-ddfcd045-2c3b-4a1e-9966-fec5ce44e1dd",
+    "kn-58874a74-b96f-4883-9e08-45707f4bd3ee"
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+   "mrr@10": 0.0
+  },
+  {
+   "id": "q30",
+   "category": "associative",
+   "query": "Swarm Architecture containment lateral worker",
+   "returned": [
+    "art-ee615cdb-e599-423d-9a4d-977859390ed3",
+    "bl-9bde67c1-f0ba-4c3a-8fe5-de0deee0ce43",
+    "8cbb60c5-4999-4ec1-8682-2592aedc4249",
+    "bl-0fac287f-f4c0-4f15-bc4d-ff7f8a7af3ae",
+    "7?e?7???\f3?",
+    "kn-6f248a50-355b-47bb-aec8-e0e646a9b077",
+    "? ?}&?#??X\b",
+    "h??I?cB?Q??",
+    "?of?7???",
+    "? ?}&?#??X\b"
+   ],
+   "n_returned": 10,
+   "latency_ms": 1140.4,
+   "error": null,
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+   "precision@5": 0.0,
+   "mrr@10": 0.0
+  },
+  {
+   "id": "q31",
+   "category": "associative",
+   "query": "hope won inside the narrative preface",
+   "returned": [
+    "kn-5b606390-a52d-4ca2-8e0e-eba141d13440",
+    "kn-e0423482-cfa5-4796-8689-8495c93b66bc",
+    "knw-9e74ee95-ba7d-49b1-9262-977eae9729d1",
+    "7?e?7???\f3?",
+    "rQ??m?;?x?'",
+    "?Q??m?;?u?'",
+    "R^??m?;��?'",
+    "?Q??m?;��`'",
+    "? ?}&?#??X\b"
+   ],
+   "n_returned": 9,
+   "latency_ms": 1157.6,
+   "error": null,
+   "hit@5": 0.0,
+   "recall@5": 0.0,
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+   "precision@5": 0.0,
+   "mrr@10": 0.0
+  },
+  {
+   "id": "q32",
+   "category": "associative",
+   "query": "man of the house six years old expectation",
+   "returned": [
+    "? ?}&?#??X\b",
+    "kn-eb1b9e18-3dc6-4b9b-9cc6-86e0ae6b6be8",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "kn-57b4c5e7-40c6-4c90-bf14-71841b0081d4",
+    "knw-35940684-abc4-42f0-b942-818f66b1f69a",
+    "art-4a99aa1a-489b-4b43-958b-25217adb1aad",
+    "art-2fabd873-d787-49cb-ad30-d4ed9fcff8ef"
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+   "recall@10": 0.0,
+   "precision@5": 0.0,
+   "mrr@10": 0.0
+  },
+  {
+   "id": "q33",
+   "category": "nonsense",
+   "query": "zqxjvw plimforth grebulon",
+   "returned": [],
+   "n_returned": 0,
+   "latency_ms": 677.2,
+   "error": null,
+   "clean": true,
+   "false_positives": 0
+  },
+  {
+   "id": "q34",
+   "category": "nonsense",
+   "query": "flarnbistle quommetry",
+   "returned": [],
+   "n_returned": 0,
+   "latency_ms": 443.2,
+   "error": null,
+   "clean": true,
+   "false_positives": 0
+  },
+  {
+   "id": "q35",
+   "category": "nonsense",
+   "query": "xxqzzt vurblenacht throom",
+   "returned": [
+    "art-4a99aa1a-489b-4b43-958b-25217adb1aad",
+    "knw-920c891f-bb8c-48c4-9afc-018ef12dcdc4",
+    "art-79042b8b-6192-440f-90b0-60708f7e6325",
+    "art-ddfcd045-2c3b-4a1e-9966-fec5ce44e1dd",
+    "bl-4476e856-c567-4b49-8ff7-d7dca3e5715e",
+    "kn-66a21179-2adc-4b19-a109-880cf4674d7d",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b"
+   ],
+   "n_returned": 10,
+   "latency_ms": 679.8,
+   "error": null,
+   "clean": false,
+   "false_positives": 10
+  },
+  {
+   "id": "q36",
+   "category": "superseded",
+   "query": "is the self-improvement architecture called DARMA or DHARMA",
+   "returned": [
+    "7?e?7???\f3?",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "?of?7???",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "mem-80d7416b-20e9-48a0-b176-b215527e2f56",
+    "mem-f3b37427-b7d1-4f7e-b32c-0241a20ce8da",
+    "art-80ca3d31-84dc-4502-83f4-538372b9764f"
+   ],
+   "n_returned": 10,
+   "latency_ms": 1245.4,
+   "error": null,
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+   "recall@5": 0.0,
+   "recall@10": 1.0,
+   "precision@5": 0.0,
+   "mrr@10": 0.125,
+   "outranks": true,
+   "rank_correct": 8,
+   "rank_stale": null
+  },
+  {
+   "id": "q37",
+   "category": "superseded",
+   "query": "how many provisional patents does Will actually have",
+   "returned": [
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "? ?}&?#??X\b",
+    "7?e?7???\f3?",
+    "?of?7???",
+    "?ǚ?7??????",
+    "[?MO5????G",
+    "art-ee615cdb-e599-423d-9a4d-977859390ed3"
+   ],
+   "n_returned": 10,
+   "latency_ms": 1618.4,
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+   "mrr@10": 0.0,
+   "outranks": false,
+   "rank_correct": null,
+   "rank_stale": null
+  },
+  {
+   "id": "q38",
+   "category": "superseded",
+   "query": "is MCP still the live integration layer",
+   "returned": [
+    "kn-5584ef9c-7f9d-4d7c-a10a-4ee6bc5cf356",
+    "7?e?7???\f3?",
+    "? ?}&?#??X\b",
+    "%???2??jH??",
+    "???Ͼd??W\b?",
+    "??o?'?B???k",
+    "? ?}&?#??X\b",
+    "63307ac5-cf6b-46e0-8296-07503b461cfa",
+    "? ?}&?#??X\b",
+    "?of?7???"
+   ],
+   "n_returned": 10,
+   "latency_ms": 956.7,
+   "error": null,
+   "hit@5": 0.0,
+   "recall@5": 0.0,
+   "recall@10": 0.0,
+   "precision@5": 0.0,
+   "mrr@10": 0.0,
+   "outranks": false,
+   "rank_correct": null,
+   "rank_stale": null
+  }
+ ]
+}

tools/retrieval-eval/run_comparison.sh

@@ -0,0 +1,98 @@
+#!/usr/bin/env bash
+# run_comparison.sh — the whole harness, end to end, from two git refs.
+#
+# Builds a soul from each ref, boots each on its own throwaway port with its own
+# throwaway HOME and its own disposable copy of the corpus, runs the gold set N
+# times per ref, and prints the comparison with its noise threshold.
+#
+# SAFETY: never touches ~/.neuron, /Applications/Neuron*, ~/neuron-dev-stack, or
+# any running service. Sources are exported with `git archive` into a scratch
+# dir, so no worktree or branch state is mutated either. Ports are checked
+# against the live set before anything boots. Every soul this script starts is
+# killed and confirmed dead by run_eval.py; the sweep at the end is a backstop.
+#
+# usage:
+#   run_comparison.sh [--baseline main] [--candidate feat/recall-through-activation]
+#                     [--repeats 3] [--corpus <snapshot.json>] [--repo <path>]
+set -euo pipefail
+
+BASELINE="main"
+CANDIDATE="feat/recall-through-activation"
+REPEATS=3
+CORPUS="$HOME/neuron-memory-backups/snapshot-pre-repair-20260806.json"
+REPO="$HOME/Development/neuron"
+BASE_PORT=7893
+
+while [ $# -gt 0 ]; do
+  case "$1" in
+    --baseline)  BASELINE="$2"; shift 2 ;;
+    --candidate) CANDIDATE="$2"; shift 2 ;;
+    --repeats)   REPEATS="$2"; shift 2 ;;
+    --corpus)    CORPUS="$2"; shift 2 ;;
+    --repo)      REPO="$2"; shift 2 ;;
+    *) echo "unknown arg: $1" >&2; exit 2 ;;
+  esac
+done
+
+HERE="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+WORK="$(mktemp -d "${TMPDIR:-/tmp}/retrieval-eval.XXXXXX")"
+trap 'rm -rf "$WORK"' EXIT
+
+[ -f "$CORPUS" ] || { echo "no corpus at $CORPUS" >&2; exit 2; }
+echo "corpus: $CORPUS ($(du -h "$CORPUS" | cut -f1))"
+
+slug() { printf '%s' "$1" | tr '/' '-'; }
+
+build_ref() {   # ref -> binary path
+  local ref="$1" out="$WORK/soul-$(slug "$1")"
+  local src="$WORK/src-$(slug "$1")"
+  mkdir -p "$src"
+  git -C "$REPO" archive "$ref" | tar -x -C "$src"
+  "$HERE/build-soul.sh" "$src" "$out" >&2
+  printf '%s' "$out"
+}
+
+echo "== building $BASELINE =="
+BIN_A="$(build_ref "$BASELINE")"
+echo "== building $CANDIDATE =="
+BIN_B="$(build_ref "$CANDIDATE")"
+
+echo "== validating the gold set against this corpus =="
+python3 "$HERE/build_gold_set.py" "$CORPUS" --check
+
+port=$BASE_PORT
+run_one() { # binary label out
+  echo "== $2 =="
+  python3 "$HERE/run_eval.py" --soul "$1" --corpus "$CORPUS" --label "$2" \
+      --port "$port" --out "$3"
+  port=$((port + 1))
+}
+
+A_MAIN="$WORK/results-a-1.json"; B_MAIN="$WORK/results-b-1.json"
+A_REP=(); B_REP=()
+for i in $(seq 1 "$REPEATS"); do
+  a="$WORK/results-a-$i.json"; b="$WORK/results-b-$i.json"
+  run_one "$BIN_A" "$(slug "$BASELINE")-r$i" "$a"
+  run_one "$BIN_B" "$(slug "$CANDIDATE")-r$i" "$b"
+  [ "$i" -gt 1 ] && { A_REP+=("$a"); B_REP+=("$b"); }
+done
+
+cp "$A_MAIN" "$HERE/results-$(slug "$BASELINE").json"
+cp "$B_MAIN" "$HERE/results-$(slug "$CANDIDATE").json"
+
+echo
+python3 "$HERE/compare.py" \
+  --baseline "$A_MAIN" --candidate "$B_MAIN" \
+  ${A_REP[@]+--repeats-baseline "${A_REP[@]}"} \
+  ${B_REP[@]+--repeats-candidate "${B_REP[@]}"} \
+  --out "$HERE/comparison-$(slug "$BASELINE")-vs-$(slug "$CANDIDATE").json"
+
+# Backstop: run_eval.py kills and confirms its own child, but a crashed run
+# could leak one. Leaving a soul running is how the live engine got squeezed.
+STRAY=$(pgrep -f "$WORK/soul-" || true)
+if [ -n "$STRAY" ]; then
+  echo "!! stray eval souls, killing: $STRAY" >&2
+  kill -9 $STRAY 2>/dev/null || true
+fi
+pgrep -f "$WORK/soul-" >/dev/null && { echo "!! STILL RUNNING" >&2; exit 5; }
+echo "process check: no eval souls running"

tools/retrieval-eval/run_eval.py

@@ -0,0 +1,398 @@
+#!/usr/bin/env python3
+"""
+run_eval.py — measure one soul build's retrieval against the gold set.
+
+WHAT IT MEASURES, AND WHY IT BOOTS A REAL SOUL
+    The point is Will's designed retrieval — spreading activation over the
+    weighted directed graph with four-factor multiplicative scoring — not a
+    Python re-implementation of it. A re-implementation would measure my
+    reading of the design; booting the compiled binary measures the design. So
+    this harness compiles the actual `soul.el` amalgam (build-soul.sh) and asks
+    it over HTTP, exactly as the MCP wrapper and the app do.
+
+SAFETY — read this before changing anything here
+    * Boots on a THROWAWAY port with a THROWAWAY $HOME and a THROWAWAY COPY of
+      the corpus. Refuses to use 7770 / 8742 / 7779 / 17779 / 7771.
+    * ENGRAM_URL / SOUL_ENGRAM_URL are UNSET and SOUL_ISE_URL is pinned to a
+      dead port. This is not belt-and-braces: the periodic engram sync resolves
+      its source as env(SOUL_ISE_URL) -> state -> DEFAULT http://localhost:8742,
+      so leaving it unset makes an "isolated" run silently pull the operator's
+      LIVE brain. (Learned the hard way on 2026-08-03; see the same note in
+      scripts/verify-soul-contract.sh.)
+    * Every process this file starts is tracked and killed in a finally block,
+      then CONFIRMED dead by pid probe, and the confirmation is written into the
+      results file. A run that cannot confirm its child is dead exits non-zero.
+    * Activation is a STATEFUL read by design (patent claim 29: traversal
+      updates last-activation and increments activation counts). The corpus copy
+      is therefore per-run and disposable, and every run starts from a byte-
+      identical copy so two configurations see the same starting graph.
+
+usage:
+  python3 run_eval.py --soul <binary> --corpus <snapshot.json> --label main \
+      [--port 7893] [--gold gold_set.json] [--limit 10] [--out results-main.json]
+"""
+import argparse
+import json
+import os
+import shutil
+import signal
+import subprocess
+import sys
+import tempfile
+import time
+import urllib.error
+import urllib.parse
+import urllib.request
+
+HERE = os.path.dirname(os.path.abspath(__file__))
+FORBIDDEN_PORTS = {7770, 8742, 7779, 17779, 7771, 8080}
+
+
+# ─────────────────────────────────────────────────────────────────────────────
+# metrics
+# ─────────────────────────────────────────────────────────────────────────────
+def recall_at_k(returned, relevant, k):
+    if not relevant:
+        return None
+    return len(set(returned[:k]) & set(relevant)) / len(relevant)
+
+
+def hit_at_k(returned, relevant, k):
+    if not relevant:
+        return None
+    return 1.0 if set(returned[:k]) & set(relevant) else 0.0
+
+
+def precision_at_k(returned, relevant, k):
+    """Fixed denominator k, as in docs/research/graphrag_eval/score.py.
+
+    Fixed denominator penalises an empty result and a page of junk equally,
+    which is what we want: a retriever that returns nothing is not 'precise'.
+    """
+    if not relevant:
+        return None
+    return len(set(returned[:k]) & set(relevant)) / k
+
+
+def mrr(returned, relevant, k):
+    if not relevant:
+        return None
+    rel = set(relevant)
+    for i, nid in enumerate(returned[:k], start=1):
+        if nid in rel:
+            return 1.0 / i
+    return 0.0
+
+
+def mean(vals):
+    vals = [v for v in vals if v is not None]
+    return sum(vals) / len(vals) if vals else 0.0
+
+
+def pct(vals):
+    return f"{100 * mean(vals):.1f}%"
+
+
+# ─────────────────────────────────────────────────────────────────────────────
+# soul lifecycle
+# ─────────────────────────────────────────────────────────────────────────────
+class Soul:
+    def __init__(self, binary, corpus, port, verbose=True):
+        if port in FORBIDDEN_PORTS:
+            raise SystemExit(f"REFUSING: port {port} is a live service port.")
+        self.binary = os.path.abspath(binary)
+        self.corpus = os.path.abspath(corpus)
+        self.port = port
+        self.verbose = verbose
+        self.home = None
+        self.proc = None
+        self.pid = None
+        self.log = None
+        self.confirmed_dead = None
+
+    @property
+    def base(self):
+        return f"http://127.0.0.1:{self.port}"
+
+    def start(self, boot_timeout=180):
+        self.home = tempfile.mkdtemp(prefix="retrieval-eval-home.")
+        snap = os.path.join(self.home, "corpus.json")
+        t0 = time.time()
+        shutil.copyfile(self.corpus, snap)   # per-run disposable copy, never the source
+        self.log = os.path.join(self.home, "soul.log")
+
+        env = {k: v for k, v in os.environ.items()
+               if k not in ("ENGRAM_URL", "ENGRAM_API_KEY", "SOUL_ENGRAM_URL",
+                            "ANTHROPIC_API_KEY", "NEURON_LLM_API_KEY", "SOUL_IDENTITY",
+                            "SOUL_API_KEY")}
+        env.update({
+            "HOME": self.home,
+            "NEURON_PORT": str(self.port),
+            "SOUL_CGI_ID": f"ntn-retrieval-eval-{os.getpid()}",
+            "SOUL_ENGRAM_PATH": snap,
+            "NEURON_API_URL": "http://127.0.0.1:9",   # dead port
+            "SOUL_ISE_URL": "http://127.0.0.1:9",     # dead port — see SAFETY above
+            # Park the background loops for an hour so heartbeat/consolidation
+            # cannot mutate the graph between queries and make runs unrepeatable.
+            "SOUL_TICK_MS": "3600000",
+            "SOUL_HEARTBEAT_MS": "3600000",
+            "SOUL_REFRESH_MS": "3600000",
+        })
+        with open(self.log, "wb") as lf:
+            self.proc = subprocess.Popen([self.binary], env=env, stdout=lf, stderr=lf,
+                                         start_new_session=True)
+        self.pid = self.proc.pid
+        if self.verbose:
+            print(f"  booted pid={self.pid} port={self.port} home={self.home}")
+
+        deadline = time.time() + boot_timeout
+        while time.time() < deadline:
+            if self.proc.poll() is not None:
+                raise RuntimeError(f"soul exited during boot: {self._log_tail()}")
+            rss = self._rss_kb()
+            if rss and rss > 6 * 1024 * 1024:
+                self.stop()
+                raise RuntimeError(f"soul RSS {rss}KB > 6GB — aborted")
+            try:
+                with urllib.request.urlopen(f"{self.base}/health", timeout=2) as r:
+                    if r.status == 200:
+                        if self.verbose:
+                            print(f"  healthy in {time.time() - t0:.1f}s, RSS={self._rss_kb()}KB")
+                        return
+            except Exception:
+                pass
+            time.sleep(0.5)
+        self.stop()
+        raise RuntimeError(f"soul never healthy on {self.base}: {self._log_tail()}")
+
+    def _rss_kb(self):
+        try:
+            out = subprocess.run(["ps", "-o", "rss=", "-p", str(self.pid)],
+                                 capture_output=True, text=True, timeout=5).stdout.strip()
+            return int(out) if out else None
+        except Exception:
+            return None
+
+    def _log_tail(self, n=15):
+        try:
+            with open(self.log, encoding="utf-8", errors="replace") as fh:
+                return "\n".join(fh.read().splitlines()[-n:])
+        except Exception:
+            return "(no log)"
+
+    def recall(self, query, limit, timeout=60):
+        url = f"{self.base}/api/neuron/recall?query={urllib.parse.quote(query)}&limit={limit}"
+        t0 = time.perf_counter()
+        try:
+            with urllib.request.urlopen(url, timeout=timeout) as r:
+                raw = r.read().decode("utf-8", "replace")
+            ms = (time.perf_counter() - t0) * 1000
+        except Exception as exc:
+            return [], (time.perf_counter() - t0) * 1000, f"{type(exc).__name__}: {exc}"
+        try:
+            arr = json.loads(raw)
+        except Exception:
+            return [], ms, f"unparseable response ({len(raw)}B)"
+        if not isinstance(arr, list):
+            return [], ms, f"non-array response: {str(arr)[:120]}"
+        ids = [x.get("id") for x in arr if isinstance(x, dict) and x.get("id")]
+        return ids, ms, None
+
+    def stop(self):
+        """Kill and CONFIRM. A test process that outlives its test is a bug."""
+        if self.pid is None:
+            self.confirmed_dead = True
+            return True
+        for sig in (signal.SIGTERM, signal.SIGKILL):
+            try:
+                os.kill(self.pid, sig)
+            except ProcessLookupError:
+                break
+            except Exception:
+                pass
+            for _ in range(20):
+                try:
+                    os.kill(self.pid, 0)
+                except ProcessLookupError:
+                    break
+                time.sleep(0.1)
+            else:
+                continue
+            break
+        try:
+            self.proc.wait(timeout=5)
+        except Exception:
+            pass
+        try:
+            os.kill(self.pid, 0)
+            self.confirmed_dead = False
+        except ProcessLookupError:
+            self.confirmed_dead = True
+        if self.verbose:
+            print(f"  pid {self.pid}: {'CONFIRMED DEAD' if self.confirmed_dead else 'STILL ALIVE'}")
+        if self.home and os.path.isdir(self.home):
+            shutil.rmtree(self.home, ignore_errors=True)
+        return self.confirmed_dead
+
+
+# ─────────────────────────────────────────────────────────────────────────────
+# eval
+# ─────────────────────────────────────────────────────────────────────────────
+def evaluate(soul, gold, limit):
+    rows = []
+    for q in gold["queries"]:
+        ids, ms, err = soul.recall(q["query"], limit)
+        rel = q.get("relevant") or []
+        row = {
+            "id": q["id"],
+            "category": q["category"],
+            "query": q["query"],
+            "returned": ids,
+            "n_returned": len(ids),
+            "latency_ms": round(ms, 1),
+            "error": err,
+        }
+        if q.get("expect_empty"):
+            row["clean"] = (len(ids) == 0)
+            row["false_positives"] = len(ids)
+        else:
+            row["hit@5"] = hit_at_k(ids, rel, 5)
+            row["recall@5"] = recall_at_k(ids, rel, 5)
+            row["recall@10"] = recall_at_k(ids, rel, 10)
+            row["precision@5"] = precision_at_k(ids, rel, 5)
+            row["mrr@10"] = mrr(ids, rel, 10)
+        if q.get("must_outrank"):
+            correct, stale = q["must_outrank"]
+            ic = ids.index(correct) if correct in ids else None
+            istale = ids.index(stale) if stale in ids else None
+            # Correct must be present AND above the stale node. A run that
+            # returns neither is NOT a pass: the corrected fact is what the
+            # user needed.
+            row["outranks"] = (ic is not None) and (istale is None or ic < istale)
+            row["rank_correct"] = None if ic is None else ic + 1
+            row["rank_stale"] = None if istale is None else istale + 1
+        rows.append(row)
+    return rows
+
+
+def aggregate(rows):
+    scored = [r for r in rows if "hit@5" in r]
+    nonsense = [r for r in rows if "clean" in r]
+    outrank = [r for r in rows if "outranks" in r]
+    lat = sorted(r["latency_ms"] for r in rows)
+    agg = {
+        "n_queries": len(rows),
+        "n_scored": len(scored),
+        "hit@5": mean([r["hit@5"] for r in scored]),
+        "recall@5": mean([r["recall@5"] for r in scored]),
+        "recall@10": mean([r["recall@10"] for r in scored]),
+        "precision@5": mean([r["precision@5"] for r in scored]),
+        "mrr@10": mean([r["mrr@10"] for r in scored]),
+        "nonsense_clean": f"{sum(1 for r in nonsense if r['clean'])}/{len(nonsense)}",
+        "superseded_outranks": f"{sum(1 for r in outrank if r['outranks'])}/{len(outrank)}",
+        "latency_ms_p50": lat[len(lat) // 2] if lat else 0,
+        "latency_ms_p95": lat[max(0, int(len(lat) * 0.95) - 1)] if lat else 0,
+        "latency_ms_max": lat[-1] if lat else 0,
+        "errors": sum(1 for r in rows if r["error"]),
+        "by_category": {},
+    }
+    cats = sorted({r["category"] for r in rows})
+    for c in cats:
+        cr = [r for r in rows if r["category"] == c]
+        if c == "nonsense":
+            agg["by_category"][c] = {
+                "n": len(cr),
+                "clean": sum(1 for r in cr if r["clean"]),
+                "avg_false_positives": mean([float(r["false_positives"]) for r in cr]),
+            }
+        else:
+            e = {
+                "n": len(cr),
+                "hit@5": mean([r.get("hit@5") for r in cr]),
+                "recall@5": mean([r.get("recall@5") for r in cr]),
+                "recall@10": mean([r.get("recall@10") for r in cr]),
+                "mrr@10": mean([r.get("mrr@10") for r in cr]),
+            }
+            if c == "superseded":
+                e["outranks"] = sum(1 for r in cr if r.get("outranks"))
+            agg["by_category"][c] = e
+    return agg
+
+
+def print_table(label, agg):
+    print(f"\n=== {label} ===")
+    print(f"  queries {agg['n_queries']} ({agg['n_scored']} scored + "
+          f"{agg['n_queries'] - agg['n_scored']} control) · errors {agg['errors']}")
+    print(f"  {'hit@5':>12} {'recall@5':>10} {'recall@10':>10} {'prec@5':>9} {'MRR@10':>9}")
+    print(f"  {pct([agg['hit@5']]):>12} {pct([agg['recall@5']]):>10} {pct([agg['recall@10']]):>10} "
+          f"{pct([agg['precision@5']]):>9} {agg['mrr@10']:>9.3f}")
+    print(f"  nonsense clean {agg['nonsense_clean']} · superseded outranks {agg['superseded_outranks']}")
+    print(f"  latency ms  p50 {agg['latency_ms_p50']:.0f} · p95 {agg['latency_ms_p95']:.0f} "
+          f"· max {agg['latency_ms_max']:.0f}")
+    print(f"\n  {'category':14} {'n':>3} {'hit@5':>8} {'recall@5':>9} {'recall@10':>10} {'MRR@10':>8}")
+    for c, e in agg["by_category"].items():
+        if c == "nonsense":
+            print(f"  {c:14} {e['n']:>3} {'clean ' + str(e['clean']) + '/' + str(e['n']):>8}"
+                  f"{'':>9} {'':>10} {'avg FP ' + format(e['avg_false_positives'], '.1f'):>8}")
+        else:
+            extra = f"  outranks {e['outranks']}/{e['n']}" if "outranks" in e else ""
+            print(f"  {c:14} {e['n']:>3} {pct([e['hit@5']]):>8} {pct([e['recall@5']]):>9} "
+                  f"{pct([e['recall@10']]):>10} {e['mrr@10']:>8.3f}{extra}")
+
+
+def main():
+    ap = argparse.ArgumentParser()
+    ap.add_argument("--soul", required=True)
+    ap.add_argument("--corpus", required=True)
+    ap.add_argument("--label", required=True)
+    ap.add_argument("--gold", default=os.path.join(HERE, "gold_set.json"))
+    ap.add_argument("--port", type=int, default=7893)
+    ap.add_argument("--limit", type=int, default=10)
+    ap.add_argument("--out", default=None)
+    args = ap.parse_args()
+
+    with open(args.gold, encoding="utf-8") as fh:
+        gold = json.load(fh)
+    print(f"[{args.label}] soul={os.path.basename(args.soul)} "
+          f"corpus={os.path.basename(args.corpus)} gold={len(gold['queries'])}q limit={args.limit}")
+
+    soul = Soul(args.soul, args.corpus, args.port)
+    rows = []
+    started = time.time()
+    try:
+        soul.start()
+        rows = evaluate(soul, gold, args.limit)
+    finally:
+        dead = soul.stop()
+
+    agg = aggregate(rows)
+    print_table(args.label, agg)
+
+    out = args.out or os.path.join(HERE, f"results-{args.label}.json")
+    doc = {
+        "label": args.label,
+        "soul_binary": os.path.abspath(args.soul),
+        "soul_md5": subprocess.run(["md5", "-q", args.soul], capture_output=True,
+                                   text=True).stdout.strip(),
+        "corpus": os.path.abspath(args.corpus),
+        "corpus_nodes": gold.get("corpus_nodes"),
+        "corpus_edges": gold.get("corpus_edges"),
+        "gold_set": os.path.abspath(args.gold),
+        "limit": args.limit,
+        "port": args.port,
+        "wall_clock_s": round(time.time() - started, 1),
+        "child_pid": soul.pid,
+        "child_confirmed_dead": soul.confirmed_dead,
+        "aggregate": agg,
+        "rows": rows,
+    }
+    with open(out, "w", encoding="utf-8") as fh:
+        json.dump(doc, fh, indent=1, ensure_ascii=False)
+    print(f"\nwrote {out}")
+    if not dead:
+        print("FATAL: child process could not be confirmed dead", file=sys.stderr)
+        sys.exit(4)
+
+
+if __name__ == "__main__":
+    main()

vendor/el-runtime/v1.0.0-20260501/el_runtime.c

@@ -41,6 +41,7 @@
 #include <fcntl.h>
 #include <dirent.h>
 #include <errno.h>
+#include <signal.h>     /* SIGPIPE disposition — see el_runtime_ignore_sigpipe */
 #include <pthread.h>
 #include <curl/curl.h>
 
@@ -1238,16 +1239,77 @@ static const char* http_reason_phrase(int status) {
     }
 }
 
-/* Best-effort send with retry on partial writes. */
+/* ── A departing client MUST NOT be able to kill the daemon ──────────────────
+ * (2026-08-06, round 9.1 / ADR 0006 item 4.)
+ *
+ * Measured field failure: a client cancelled its request at 25 s; the handler
+ * finished its work at 116.9 s and wrote the reply into the departed client's
+ * socket. The second send() on a reset connection raised SIGPIPE, whose DEFAULT
+ * disposition terminates the process — `exited due to SIGPIPE ... ran for
+ * 361177ms`. launchd respawned 4 ms later, so EVERY other in-flight request on
+ * that daemon lost its work, silently.
+ *
+ * Two independent guards, because one of them can be undone from outside this
+ * file (an embedder may reset signal dispositions) and the other cannot:
+ *   1. process-wide SIGPIPE -> SIG_IGN, installed at runtime init;
+ *   2. per-send suppression at the syscall (MSG_NOSIGNAL where the platform has
+ *      it, SO_NOSIGPIPE on the accepted socket on macOS/BSD).
+ * With either in force, send() reports the peer's departure as EPIPE and the
+ * caller decides — which is the point: this is an ordinary I/O outcome, not a
+ * fatal condition.
+ *
+ * It deliberately does NOT swallow the error. http_send_response() below
+ * classifies the errno and logs: "client left" for a departure, and a real
+ * "send failed: <strerror>" for anything else, so a genuine write fault is
+ * still visible in the log (spec round-9.1 §5.3).                            */
+
+#ifndef MSG_NOSIGNAL
+#define MSG_NOSIGNAL 0
+#endif
+
+void el_runtime_ignore_sigpipe(void) {
+    static int done = 0;
+    if (done) return;
+    done = 1;
+    struct sigaction sa;
+    memset(&sa, 0, sizeof(sa));
+    sa.sa_handler = SIG_IGN;
+    sigemptyset(&sa.sa_mask);
+    sigaction(SIGPIPE, &sa, NULL);
+}
+
+/* Suppress SIGPIPE for one accepted connection (macOS/BSD have no
+ * MSG_NOSIGNAL; they have the socket option instead). Best effort. */
+static void http_socket_nosigpipe(int fd) {
+#ifdef SO_NOSIGPIPE
+    int on = 1;
+    setsockopt(fd, SOL_SOCKET, SO_NOSIGPIPE, &on, sizeof(on));
+#else
+    (void)fd;
+#endif
+}
+
+/* Best-effort send with retry on partial writes.
+ * Returns 0 on success, -1 on failure with errno preserved for the caller. */
 static int http_send_all(int fd, const char* p, size_t left) {
     while (left > 0) {
-        ssize_t w = send(fd, p, left, 0);
-        if (w <= 0) return -1;
+        ssize_t w = send(fd, p, left, MSG_NOSIGNAL);
+        if (w < 0) {
+            if (errno == EINTR) continue;       /* not an error — retry */
+            return -1;                          /* errno stays set for caller */
+        }
+        if (w == 0) { errno = EPIPE; return -1; }
         p += w; left -= (size_t)w;
     }
     return 0;
 }
 
+/* Did this write fail because the client is gone, or because something is
+ * actually wrong with the socket? Only the first is routine. */
+static int http_write_err_is_client_gone(int e) {
+    return e == EPIPE || e == ECONNRESET || e == ENOTCONN || e == ESHUTDOWN;
+}
+
 /* Discriminator that http_response() embeds at the start of its envelope.
  * A handler returning a string starting with this exact prefix is treated
  * as a structured response; anything else is treated as a raw body. */
@@ -1468,14 +1530,30 @@ static void http_send_response(int fd, const char* body) {
         free(env_body); free(hdrs.buf); return;
     }
 
-    if (http_send_all(fd, status_line, (size_t)sl) == 0
-     && http_send_all(fd, hdrs.buf,    hdrs.len)   == 0
-     && http_send_all(fd, tail,        (size_t)tl) == 0
-     && (head_only
-         /* HEAD requests echo headers + Content-Length but no body. */
-         ? 1
-         : http_send_all(fd, eff_body, blen) == 0)) {
-        /* sent successfully */
+    /* The reply is written in four pieces; any of them can find the client
+     * already gone. errno is captured at the first failure, before any later
+     * library call can clobber it, and classified once below. */
+    errno = 0;
+    int send_err = 0;
+    if (http_send_all(fd, status_line, (size_t)sl) != 0) send_err = errno;
+    else if (http_send_all(fd, hdrs.buf, hdrs.len) != 0) send_err = errno;
+    else if (http_send_all(fd, tail, (size_t)tl) != 0) send_err = errno;
+    else if (!head_only /* HEAD echoes headers + Content-Length, no body. */
+             && http_send_all(fd, eff_body, blen) != 0) send_err = errno;
+
+    if (send_err) {
+        if (http_write_err_is_client_gone(send_err)) {
+            /* ROUTINE. The user closed the window, quit the app, or cancelled.
+             * The work is done and the daemon keeps serving everyone else. */
+            fprintf(stderr, "[http] client left before the reply was written "
+                            "(%zu-byte body, %s) - request completed, reply discarded\n",
+                    blen, strerror(send_err));
+        } else {
+            /* NOT routine — a real write fault. Never let the client-gone case
+             * above hide this one. */
+            fprintf(stderr, "[http] send failed: %s (%zu-byte body)\n",
+                    strerror(send_err), blen);
+        }
     }
 
     if (env_parsed_root) el_release(env_parsed_root);
@@ -1491,6 +1569,7 @@ static void* http_worker(void* arg) {
     HttpWorkerArg* a = (HttpWorkerArg*)arg;
     int fd = a->fd;
     free(a);
+    http_socket_nosigpipe(fd);
     char *method = NULL, *path = NULL, *body = NULL;
     if (http_read_request(fd, &method, &path, &body, NULL) == 0) {
         http_handler_fn h = http_lookup_active();
@@ -1531,6 +1610,7 @@ static void* http_worker(void* arg) {
 }
 
 void http_serve(el_val_t port, el_val_t handler) {
+    el_runtime_ignore_sigpipe();   /* serving implies clients that leave */
     /* If `handler` looks like a string name, register it as the active handler. */
     const char* hname = EL_CSTR(handler);
     if (hname && looks_like_string(handler)) {
@@ -1634,6 +1714,7 @@ static void* _http_serve_async_loop(void* raw) {
 }
 
 void http_serve_async(el_val_t port, el_val_t handler) {
+    el_runtime_ignore_sigpipe();   /* serving implies clients that leave */
     const char* hname = EL_CSTR(handler);
     if (hname && looks_like_string(handler)) {
         http_set_handler(handler);
@@ -1821,6 +1902,7 @@ static void* http_worker_v2(void* arg) {
     HttpWorkerArg* a = (HttpWorkerArg*)arg;
     int fd = a->fd;
     free(a);
+    http_socket_nosigpipe(fd);
     char *method = NULL, *path = NULL, *body = NULL, *hdr_block = NULL;
     if (http_read_request(fd, &method, &path, &body, &hdr_block) == 0) {
         http_handler4_fn h = http_lookup_active_v2();
@@ -1858,6 +1940,7 @@ static void* http_worker_v2(void* arg) {
 }
 
 void http_serve_v2(el_val_t port, el_val_t handler) {
+    el_runtime_ignore_sigpipe();   /* serving implies clients that leave */
     const char* hname = EL_CSTR(handler);
     if (hname && looks_like_string(handler)) {
         http_set_handler_v2(handler);
@@ -5511,6 +5594,9 @@ el_val_t getpid_now(void) {
 static el_val_t _el_args_list = 0;
 
 void el_runtime_init_args(int argc, char** argv) {
+    /* First line of every generated main(): a client that leaves must never be
+     * able to signal this process to death. See el_runtime_ignore_sigpipe. */
+    el_runtime_ignore_sigpipe();
     _el_args_list = el_list_empty();
     for (int i = 1; i < argc; i++) {
         _el_args_list = el_list_append(_el_args_list, EL_STR(argv[i]));