{
 "claim:cc-tool-count": "{\"claim\":\"The MCP server exposes 73 tools\",\"command\":\"python claims_audit.py --numbers\",\"file\":\"claude-code.html\",\"id\":\"cc-tool-count\",\"pin\":\"<h2>73 tools any MCP host can call</h2>\",\"status\":\"REPRODUCIBLE\",\"tokens\":[\"73\"]}",
 "claim:cmp-control": "{\"claim\":\"The control: with our own guard off, we keep the correction 0% of the time\",\"command\":\"python ramr_echo_resistance_backends.py  # RAMR repo\",\"file\":\"compare.html\",\"id\":\"cmp-control\",\"pin\":\"&mdash; guard disabled\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"0\"]}",
 "claim:cmp-faq-hundred": "{\"claim\":\"The objection names our own headline number\",\"command\":\"python ramr_echo_resistance_backends.py  # RAMR repo\",\"file\":\"compare.html\",\"id\":\"cmp-faq-hundred\",\"pin\":\"Isn&rsquo;t 100% just a benchmark you designed to win?\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"100\"]}",
 "claim:cmp-graphiti": "{\"claim\":\"Graphiti keeps the correction 86.7%; resurrection 13.3%, 95% CI [3.3, 26.7]\",\"command\":\"python ramr_echo_resistance_backends.py  # RAMR repo\",\"file\":\"compare.html\",\"id\":\"cmp-graphiti\",\"pin\":\"<tr><td>Graphiti 0.x\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"0\",\"86.7\",\"13.3\",\"95\",\"3.3\",\"26.7\"]}",
 "claim:cmp-guard-off": "{\"claim\":\"The control restated: guard off resurrects 100% of the time\",\"command\":\"python ramr_echo_resistance_backends.py  # RAMR repo\",\"file\":\"compare.html\",\"id\":\"cmp-guard-off\",\"pin\":\"guard on and 100% with it off\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"100\"]}",
 "claim:cmp-mem0": "{\"claim\":\"mem0 2.0.11 keeps the correction 53.3%; resurrection 46.7%, 95% CI [30.0, 63.3]\",\"command\":\"python ramr_echo_resistance_backends.py  # RAMR repo\",\"file\":\"compare.html\",\"id\":\"cmp-mem0\",\"pin\":\"<tr><td>mem0 2.0.11\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"53.3\",\"46.7\",\"95\",\"30.0\",\"63.3\"]}",
 "claim:cmp-n": "{\"claim\":\"Trials per system\",\"command\":\"python ramr_echo_resistance_backends.py  # RAMR repo\",\"file\":\"compare.html\",\"id\":\"cmp-n\",\"pin\":\"n = 30 per system\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"30\"]}",
 "claim:cmp-ours": "{\"claim\":\"inspeximus keeps the correction 100% of the time and resurrects the old value 0%\",\"command\":\"python ramr_echo_resistance_backends.py  # RAMR repo\",\"file\":\"compare.html\",\"id\":\"cmp-ours\",\"pin\":\"<tr class=\\\"us\\\"><td>inspeximus</td>\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"100\",\"0\"]}",
 "claim:cmp-schema-n": "{\"claim\":\"Sample size, stated in the page's own structured data so the two cannot drift\",\"command\":\"python ramr_echo_resistance_backends.py  # RAMR repo\",\"file\":\"compare.html\",\"id\":\"cmp-schema-n\",\"pin\":\"n=30 per system, each on its own native configuration\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"30\"]}",
 "claim:cmp-schema-version": "{\"claim\":\"The competitor version and month measured, in the structured data\",\"command\":\"curl -s https://pypi.org/pypi/mem0ai/json\",\"file\":\"compare.html\",\"id\":\"cmp-schema-version\",\"pin\":\"mem0 was measured at 2.0.11 in 2026-07\",\"status\":\"REPRODUCIBLE\",\"tokens\":[\"2026\"]}",
 "claim:cmp-scope-version": "{\"claim\":\"The month the competitor figure was measured, said in prose next to the claim\",\"command\":\"curl -s https://pypi.org/pypi/mem0ai/json\",\"file\":\"compare.html\",\"id\":\"cmp-scope-version\",\"pin\":\"(2026-07) and has <b>not</b> been re-run since\",\"status\":\"REPRODUCIBLE\",\"tokens\":[\"2026\"]}",
 "claim:cmp-trials-and-guard": "{\"claim\":\"Why intervals are shown; and our 0% with the guard on\",\"command\":\"python ramr_echo_resistance_backends.py  # RAMR repo\",\"file\":\"compare.html\",\"id\":\"cmp-trials-and-guard\",\"pin\":\"a 30-trial proportion is not a point\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"30\",\"0\"]}",
 "claim:mcp-stale-30": "{\"claim\":\"WITHDRAWN: the previous '30 tools' figure, kept as the record of the correction\",\"command\":\"python claims_audit.py --numbers\",\"file\":\"MCP_LISTINGS.md\",\"id\":\"mcp-stale-30\",\"pin\":\"It said 30 until 2026-08-01, when it was\",\"status\":\"WITHDRAWN\",\"tokens\":[\"30\",\"26\",\"2026\"]}",
 "claim:mcp-tool-count": "{\"claim\":\"The MCP server exposes 73 tools\",\"command\":\"python claims_audit.py --numbers\",\"file\":\"MCP_LISTINGS.md\",\"id\":\"mcp-tool-count\",\"pin\":\"`inspeximus-mcp`, 73 tools\",\"status\":\"REPRODUCIBLE\",\"tokens\":[\"73\"]}",
 "claim:mcp-tool-list": "{\"claim\":\"The enumerated tool list matches the server\",\"command\":\"python claims_audit.py --numbers\",\"file\":\"MCP_LISTINGS.md\",\"id\":\"mcp-tool-list\",\"pin\":\"**Tools (73):**\",\"status\":\"REPRODUCIBLE\",\"tokens\":[\"73\"]}",
 "claim:quickstart-cold-start-ms": "{\"claim\":\"Cold start to a corrected-and-reverted fact, from a clean directory: three consecutive runs, import included, no network and no model. Quoted as three runs rather than one number because the first draft of this page said '192 ms', which was one sample presented as a constant.\",\"command\":\"python -c \\\"import time;t=time.time();from inspeximus import Inspeximus;m=Inspeximus('m.json');m.remember('a',key='k');m.remember('b',key='k');m.recall('a');m.revert('k');print(int((time.time()-t)*1000),'ms')\\\"\",\"file\":\"quickstart.html\",\"id\":\"quickstart-cold-start-ms\",\"pin\":\"three runs: <b>187, 190 and 193&nbsp;ms</b> end to end\",\"status\":\"REPRODUCIBLE\",\"tokens\":[\"187\",\"190\",\"193\"]}",
 "claim:readme-adapter-conformance": "{\"claim\":\"Framework adapters: 13 of 13 verified against current upstream, 0 recorded broken\",\"command\":\"python claims_audit.py --numbers\",\"file\":\"README.md\",\"id\":\"readme-adapter-conformance\",\"pin\":\"**13 of 13 verified against current upstream, 0 recorded broken.**\",\"status\":\"REPRODUCIBLE\",\"tokens\":[\"13\",\"13\",\"0\"]}",
 "claim:readme-audit-summary": "{\"claim\":\"The example claims_audit run: 13 checks pass, 5 are not testable from this package\",\"command\":\"python claims_audit.py --local\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-audit-summary\",\"pin\":\"13 passed · 0 FAILED · 0 skipped · 5 not testable here\",\"status\":\"REPRODUCIBLE\",\"tokens\":[\"13\",\"0\",\"5\"]}",
 "claim:readme-bedrock-directions": "{\"claim\":\"The bedrock synthesis was checked from ~8 directions\",\"command\":\"\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-bedrock-directions\",\"pin\":\"Checked from ~8 directions\",\"status\":\"EXTERNAL\",\"tokens\":[\"8\"]}",
 "claim:readme-bench-n": "{\"claim\":\"Sample size for cells 3 and 4.\",\"command\":\"python probes/integrity_bench_store_resolves.py --systems inspeximus\",\"file\":\"README.md\",\"id\":\"readme-bench-n\",\"pin\":\"config, n=20. These two need no judge at all\",\"status\":\"REPRODUCIBLE\",\"tokens\":[\"20\"]}",
 "claim:readme-chain-binding": "{\"claim\":\"regex_extractor chain binding on benchmarks/chain_binding/ (15 chains, 18 unrelated pairs, 60 prose sentences): chains collapsing to one record 2/15 -> 9/15; false binds on unrelated pairs 1/18 -> 0/18; non-declarative prose keyed 8/60 -> 4/60\",\"command\":\"python benchmarks/chain_binding/probe.py\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-chain-binding\",\"pin\":\"| correction chains that collapse to one record holding the final value | 2/15 |\",\"status\":\"REPRODUCIBLE\",\"tokens\":[\"15\",\"18\",\"60\",\"2\",\"9\",\"1\",\"0\",\"8\",\"4\"]}",
 "claim:readme-cohort-power": "{\"claim\":\"Per-memory outcome attribution reaches only ~0.36 power at n-of-1\",\"command\":\"\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-cohort-power\",\"pin\":\"reached only ~0.36 power at realistic sample sizes\",\"status\":\"EXTERNAL\",\"tokens\":[\"0.36\"]}",
 "claim:readme-competitor-judges": "{\"claim\":\"mem0 and Zep's self-reported LLM-judged QA scores\",\"command\":\"\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-competitor-judges\",\"pin\":\"mem0 reports 66.9% and Zep 71.2% under their own judges\",\"status\":\"EXTERNAL\",\"tokens\":[\"66.9\",\"71.2\"]}",
 "claim:readme-consolidation-eighth": "{\"claim\":\"...and by ~4x at one-eighth budget\",\"command\":\"\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-consolidation-eighth\",\"pin\":\"budget → ≈4× at one-eighth\",\"status\":\"EXTERNAL\",\"tokens\":[\"4\"]}",
 "claim:readme-consolidation-half": "{\"claim\":\"Value-ranked consolidation beats FIFO by ~1.8x at half budget\",\"command\":\"\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-consolidation-half\",\"pin\":\"the budget shrinks** (≈1.8× at half\",\"status\":\"EXTERNAL\",\"tokens\":[\"1.8\"]}",
 "claim:readme-determinism": "{\"claim\":\"Cell 4: the same fixture run twice against a fresh store, timestamps and ordering normalised out. inspeximus byte-identical; Hindsight differs on all 20.\",\"command\":\"python probes/integrity_bench_determinism.py --systems inspeximus\",\"file\":\"README.md\",\"id\":\"readme-determinism\",\"pin\":\"| identical writes twice — same stored state? | **byte-identical** | 20 / 20 differ | — |\",\"status\":\"REPRODUCIBLE\",\"tokens\":[\"20\"]}",
 "claim:readme-echo-control": "{\"claim\":\"The control: with the guard off we score zero, so the number is the mechanism\",\"command\":\"python ramr_echo_resistance_backends.py  # RAMR repo\",\"file\":\"README.md\",\"id\":\"readme-echo-control\",\"pin\":\"| inspeximus, guard disabled | 0% |\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"0\"]}",
 "claim:readme-echo-graphiti": "{\"claim\":\"Graphiti keeps the correction 86.7% of the time; resurrection 13.3%, 95% CI [3.3, 26.7]\",\"command\":\"python ramr_echo_resistance_backends.py  # RAMR repo\",\"file\":\"README.md\",\"id\":\"readme-echo-graphiti\",\"pin\":\"| Graphiti 0.x (Neo4j + OpenAI) |\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"0\",\"86.7\",\"13.3\",\"95\",\"3.3\",\"26.7\"]}",
 "claim:readme-echo-mem0": "{\"claim\":\"mem0 2.0.11 keeps the correction 53.3%; resurrection 46.7%, 95% CI [30.0, 63.3]\",\"command\":\"python ramr_echo_resistance_backends.py  # RAMR repo\",\"file\":\"README.md\",\"id\":\"readme-echo-mem0\",\"pin\":\"| mem0 2.0.11 (OpenAI native) |\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"2.0.11\",\"53.3\",\"46.7\",\"95\",\"30.0\",\"63.3\"]}",
 "claim:readme-echo-n-and-version": "{\"claim\":\"Sample size per system, and the exact competitor version measured\",\"command\":\"curl -s https://pypi.org/pypi/mem0ai/json\",\"file\":\"README.md\",\"id\":\"readme-echo-n-and-version\",\"pin\":\"n = 30 per system\",\"status\":\"REPRODUCIBLE\",\"tokens\":[\"30\",\"2.0.11\",\"2026\",\"2.0.18\"]}",
 "claim:readme-echo-ours": "{\"claim\":\"inspeximus keeps a corrected fact 100% of the time; it never resurrects the old value\",\"command\":\"python ramr_echo_resistance_backends.py  # RAMR repo\",\"file\":\"README.md\",\"id\":\"readme-echo-ours\",\"pin\":\"| **inspeximus** | **100%** | **0%** |\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"100\",\"0\"]}",
 "claim:readme-echo-trials": "{\"claim\":\"Sample size: 30 trials per system\",\"command\":\"python ramr_echo_resistance_backends.py  # RAMR repo\",\"file\":\"README.md\",\"id\":\"readme-echo-trials\",\"pin\":\"same task, same 30 trials\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"30\"]}",
 "claim:readme-erasure-fanout-hero": "{\"claim\":\"A soft delete leaves the value recoverable in 5 of 6 stores (0.17); a wired hard delete scores 1.00\",\"command\":\"python probes/forget_verification_bench.py\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-erasure-fanout-hero\",\"pin\":\"soft delete scores 0.17 and names the five leaking stores\",\"status\":\"REPRODUCIBLE\",\"tokens\":[\"0.17\",\"1.00\"]}",
 "claim:readme-erasure-fanout-table": "{\"claim\":\"Same six-store fan-out measurement, restated in the four-operations table\",\"command\":\"python probes/forget_verification_bench.py\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-erasure-fanout-table\",\"pin\":\"a wired hard delete scores **1.00** with a verifying signed receipt\",\"status\":\"REPRODUCIBLE\",\"tokens\":[\"1.00\",\"0.17\"]}",
 "claim:readme-fixed-instant-determinism": "{\"claim\":\"Run-to-run determinism at a fixed instant: arm (a) divergence 0.0000 on every corpus\",\"command\":\"python probes/reinforce_accuracy_ablation.py\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-fixed-instant-determinism\",\"pin\":\"arm (a) of the reinforce ablation measures 0.0000 on every corpus\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"0.0000\"]}",
 "claim:readme-graphiti-13-3-decomposed": "{\"claim\":\"The Graphiti row's raw resurrection decomposed: four pre-echo extraction misses\",\"command\":\"python ramr_echo_resistance_backends.py  # RAMR repo\",\"file\":\"README.md\",\"id\":\"readme-graphiti-13-3-decomposed\",\"pin\":\"The 13.3% above is four\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"13.3\"]}",
 "claim:readme-graphiti-decomposition": "{\"claim\":\"Graphiti's bi-temporal invalidation held 26/26 corrections that were extracted pre-echo; its 13.3% raw resurrection is four extraction misses, not echo failures\",\"command\":\"python ramr_echo_resistance_backends.py  # RAMR repo\",\"file\":\"README.md\",\"id\":\"readme-graphiti-decomposition\",\"pin\":\"echo_attributable_flips: 0\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"0\",\"26\"]}",
 "claim:readme-graphiti-echo-zero": "{\"claim\":\"On echo-attributable resurrection specifically, Graphiti scores 0% -- the separator is whether the supersession link is recorded at write time, not which vendor recorded it\",\"command\":\"python ramr_echo_resistance_backends.py  # RAMR repo\",\"file\":\"README.md\",\"id\":\"readme-graphiti-echo-zero\",\"pin\":\"Graphiti scores **0%**, the same as us\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"0\"]}",
 "claim:readme-hindsight-version": "{\"claim\":\"The competitor version measured and its star count on the day of measurement, stamped rather than restated as current.\",\"command\":\"gh api repos/vectorize-io/hindsight --jq '.stargazers_count'\",\"file\":\"README.md\",\"id\":\"readme-hindsight-version\",\"pin\":\"Measured 2026-08-25 against **Hindsight 0.9.2** (vectorize-io, 21k stars) and mem0, each in its own native\",\"status\":\"EXTERNAL\",\"tokens\":[\"2026\",\"0.9\",\"2\",\"21\"]}",
 "claim:readme-hub-prune": "{\"claim\":\"Pruning hub notes lifts lexical recall ~20% on a link-spammed store only\",\"command\":\"\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-hub-prune\",\"pin\":\"lifts **lexical** recall ~20% only when a store is link-spammed\",\"status\":\"EXTERNAL\",\"tokens\":[\"20\"]}",
 "claim:readme-integrity-echo-cell": "{\"claim\":\"In-repo cross-system echo cell: resurrection rate inspeximus 0.00, mem0 0.05, Graphiti 0.00\",\"command\":\"python probes/integrity_bench_echo.py --systems inspeximus\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-integrity-echo-cell\",\"pin\":\"0.00, mem0 0.05, Graphiti 0.00\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"0.00\",\"0.05\"]}",
 "claim:readme-lexical-decay": "{\"claim\":\"Lexical recall@5 decays 0.94 -> 0.25 as the store grows\",\"command\":\"\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-lexical-decay\",\"pin\":\"lexical `recall@5` decays from **0.94** (small store) to **0.25**\",\"status\":\"EXTERNAL\",\"tokens\":[\"5\",\"0.94\",\"0.25\"]}",
 "claim:readme-locomo-caveat-dates": "{\"claim\":\"The superseded pair, quoted inside the note that discharges its caveat\",\"command\":\"python benchmarks/locomo/run.py --subset full --retrieval-only\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-locomo-caveat-dates\",\"pin\":\"**The old pair was 0.78 / 0.65, and it reproduces exactly**\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"2026\",\"0.78\",\"0.65\"]}",
 "claim:readme-locomo-command": "{\"claim\":\"The copy-paste command with its expected output inline\",\"command\":\"python benchmarks/locomo/run.py --subset full --retrieval-only\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-locomo-command\",\"pin\":\"--retrieval-only   # ~0.83 / 0.70, no model calls\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"0.83\",\"0.70\"]}",
 "claim:readme-locomo-confound": "{\"claim\":\"A withdrawn 0.19->0.29 delta, cited as an example of a confound we found and corrected\",\"command\":\"\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-locomo-confound\",\"pin\":\"0.19→0.29 delta was contaminated\",\"status\":\"EXTERNAL\",\"tokens\":[\"0.19\",\"0.29\"]}",
 "claim:readme-locomo-denominator": "{\"claim\":\"The LOCOMO question denominator behind the retrieval pair\",\"command\":\"python benchmarks/locomo/run.py --subset full --retrieval-only\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-locomo-denominator\",\"pin\":\"n=1536), with the built-in tuned recipe\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"1536\"]}",
 "claim:readme-locomo-headline": "{\"claim\":\"LOCOMO retrieval-recall@25 = 0.83 (any evidence turn) / 0.70 (all), n=1536, reinforce=False\",\"command\":\"python benchmarks/locomo/run.py --subset full --retrieval-only\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-locomo-headline\",\"pin\":\"retrieval-recall@25 is 0.83** (a supporting turn is retrieved) / **0.70**\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"25\",\"0.83\",\"0.70\"]}",
 "claim:readme-locomo-n": "{\"claim\":\"The LoCoMo config size behind recall_any@1\",\"command\":\"python probes/retrieval_recall_locomo.py --k 25\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-locomo-n\",\"pin\":\"on one LoCoMo config (n=1536, deterministic\",\"status\":\"PENDING-HARNESS\",\"tokens\":[\"1536,\"]}",
 "claim:readme-locomo-old-pair": "{\"claim\":\"The OLD published pair reproduces exactly at its own operating point (reinforce=True)\",\"command\":\"python benchmarks/locomo/run.py --subset full --retrieval-only\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-locomo-old-pair\",\"pin\":\"0.7839 / 0.6484 against the published 0.783 / 0.648, on the identical 1536-question denominator\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"0.7839\",\"0.6484\",\"0.783\",\"0.648\",\"1536\"]}",
 "claim:readme-mcp-tool-count": "{\"claim\":\"The MCP server exposes 73 tools\",\"command\":\"python claims_audit.py --numbers\",\"file\":\"README.md\",\"id\":\"readme-mcp-tool-count\",\"pin\":\"**73 tools**\",\"status\":\"REPRODUCIBLE\",\"tokens\":[\"73\"]}",
 "claim:readme-mcp-tools": "{\"claim\":\"The MCP server exposes 73 tools\",\"command\":\"python -c \\\"import re,pathlib;print(len(re.findall(chr(64)+chr(109)+chr(99)+chr(112)+chr(46)+'tool', pathlib.Path('inspeximus/mcp_server.py').read_text(encoding='utf-8'))))\\\"\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-mcp-tools\",\"pin\":\"`inspeximus-mcp`, 73 tools\",\"status\":\"REPRODUCIBLE\",\"tokens\":[\"73\"]}",
 "claim:readme-memops-acc-others": "{\"claim\":\"MemOps answer accuracy: keep-all 0.592, mem0 0.544; ~2% of mem0 extractions failed to parse\",\"command\":\"\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-memops-acc-others\",\"pin\":\"a naive keep-all store 0.592, mem0 0.544\",\"status\":\"EXTERNAL\",\"tokens\":[\"0.592\",\"0.544\",\"2\"]}",
 "claim:readme-memops-acc-ours": "{\"claim\":\"MemOps answer accuracy: inspeximus 0.593\",\"command\":\"\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-memops-acc-ours\",\"pin\":\"indistinguishable** — inspeximus 0.593\",\"status\":\"EXTERNAL\",\"tokens\":[\"0.593\"]}",
 "claim:readme-memops-cost": "{\"claim\":\"mem0's default pipeline spends 519-917 s (median 606) of LLM extraction per MemOps scenario\",\"command\":\"\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-memops-cost\",\"pin\":\"**519–917 s of LLM extraction** (median 606 s, n=24)\",\"status\":\"EXTERNAL\",\"tokens\":[\"519\",\"917\",\"606\",\"24\"]}",
 "claim:readme-memops-parsefail": "{\"claim\":\"~2% of mem0's MemOps extraction calls failed to parse\",\"command\":\"\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-memops-parsefail\",\"pin\":\"About 2% of mem0's extraction calls failed to parse\",\"status\":\"EXTERNAL\",\"tokens\":[\"2\"]}",
 "claim:readme-memops-scenarios": "{\"claim\":\"MemOps: 24 long-context scenarios, ~50 sessions each\",\"command\":\"\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-memops-scenarios\",\"pin\":\"long-context scenarios (24 scenarios, ~50 sessions each)\",\"status\":\"EXTERNAL\",\"tokens\":[\"24\",\"50\"]}",
 "claim:readme-model-calls": "{\"claim\":\"Model calls per run on the write path. inspeximus has none; Hindsight extracts on every retain, three retains per case over 20 cases.\",\"command\":\"python probes/integrity_bench_determinism.py --systems inspeximus\",\"file\":\"README.md\",\"id\":\"readme-model-calls\",\"pin\":\"| model calls to do it | **0** | 60 | 60 |\",\"status\":\"REPRODUCIBLE\",\"tokens\":[\"0\",\"60\"]}",
 "claim:readme-mutations-survived": "{\"claim\":\"Mutation gate: zero seeded defects survived\",\"command\":\"python tools/mutation_check_parallel.py\",\"file\":\"README.md\",\"id\":\"readme-mutations-survived\",\"pin\":\"killed, 0 survived**\",\"status\":\"REPRODUCIBLE\",\"tokens\":[\"0\"]}",
 "claim:readme-operating-cosine": "{\"claim\":\"Operating-point trap: a cosine top-1 store scores 42%\",\"command\":\"python probes/operating_point_memory.py\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-operating-cosine\",\"pin\":\"store scores **42%** (fine on stable, but blind to\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"42\"]}",
 "claim:readme-operating-layered": "{\"claim\":\"The layered store scores 100% across all three operating points\",\"command\":\"python probes/operating_point_memory.py\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-operating-layered\",\"pin\":\"value-ranking — is **100%**, robust across all three\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"100\"]}",
 "claim:readme-operating-poison": "{\"claim\":\"...and 0/8 on poison\",\"command\":\"python probes/operating_point_memory.py\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-operating-poison\",\"pin\":\"*freshest lie* — **0/8** on poison)\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"0\",\"8\"]}",
 "claim:readme-operating-recency": "{\"claim\":\"...0/8 on updated facts; a recency store scores 67%\",\"command\":\"python probes/operating_point_memory.py\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-operating-recency\",\"pin\":\"supersession — **0/8** on updated facts — and fooled by repeated lies); a **recency** store **67%**\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"0\",\"8\",\"67\"]}",
 "claim:readme-own-source-coverage": "{\"claim\":\"Our own production store: source populated vs actually re-checkable\",\"command\":\"curl -sO https://raw.githubusercontent.com/DanceNitra/agora/main/research/probes/can_we_reconcile_our_own_index.py && python can_we_reconcile_our_own_index.py\",\"file\":\"README.md\",\"id\":\"readme-own-source-coverage\",\"pin\":\"98.3% populated and 0.01% re-fetchable\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"98.3\",\"0.01\"]}",
 "claim:readme-paraphrase": "{\"claim\":\"On paraphrase queries semantic recall@5 is 0.86 vs 0.20 lexical\",\"command\":\"\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-paraphrase\",\"pin\":\"semantic `recall@5` is **0.86 vs 0.20** lexical\",\"status\":\"EXTERNAL\",\"tokens\":[\"5\",\"0.86\",\"0.20\"]}",
 "claim:readme-printed-line": "{\"claim\":\"The literal line the free command prints, quoted so a reader can compare what they see against what we published.\",\"command\":\"python probes/integrity_bench_store_resolves.py --systems inspeximus\",\"file\":\"README.md\",\"id\":\"readme-printed-line\",\"pin\":\"It finishes in milliseconds and prints `store-resolved=1.00 (resolved=20 both=0 stale=0 neither=0, n=20)`.\",\"status\":\"REPRODUCIBLE\",\"tokens\":[\"1.00\",\"20\",\"0\",\"0,\"]}",
 "claim:readme-qualified-timestamp-drift": "{\"claim\":\"Parsed from the EU member states' own trusted lists, reached through the Commission's list of trusted lists: 1477 services of type qualified timestamp across the 25 territories that publish at least one, and 570 of them (39 percent) hold a `granted` status at one date and a status that ends qualified standing at another. Measured 2026-08-31. The figure moves as member states republish, which is the point of the claim rather than a caveat on it.\",\"command\":\"python tools/fetch_trusted_lists.py --out lists.json\",\"file\":\"README.md\",\"id\":\"readme-qualified-timestamp-drift\",\"pin\":\"of the 1477 qualified timestamp services published across 25 territories, 570 (39%) have held\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"1477\",\"25\",\"570\",\"39\"]}",
 "claim:readme-ramr-echo": "{\"claim\":\"RAMR ECHO-RESISTANCE: keyed-without-guard 0.00, add-based 0.57, echo_guard 1.00\",\"command\":\"\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-ramr-echo\",\"pin\":\"(keyed-without-guard 0.00, an add-based system 0.57, guard 1.00)\",\"status\":\"EXTERNAL\",\"tokens\":[\"0.00\",\"0.57\",\"1.00\"]}",
 "claim:readme-recall-any1": "{\"claim\":\"recall_any@1 = 0.397 with nomic task prefixes on one LoCoMo config\",\"command\":\"python probes/retrieval_recall_locomo.py --k 1\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-recall-any1\",\"pin\":\"lands recall_any@1 at 0.397\",\"status\":\"PENDING-HARNESS\",\"tokens\":[\"0.397\"]}",
 "claim:readme-retention-cold": "{\"claim\":\"At a 30% keep-budget, access-decay retains 2.8% of high-value/low-frequency memories\",\"command\":\"\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-retention-cold\",\"pin\":\"At a 30% keep-budget the access-decay policy retained only **2.8%**\",\"status\":\"EXTERNAL\",\"tokens\":[\"30\",\"2.8\"]}",
 "claim:readme-retention-gap": "{\"claim\":\"~3x more value kept, persisting at ~2.2x even at a 7% budget\",\"command\":\"\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-retention-gap\",\"pin\":\"about **3× more value kept** (the gap persists, ≈2.2× retained value, even at a 7%\",\"status\":\"EXTERNAL\",\"tokens\":[\"3\",\"2.2\",\"7\"]}",
 "claim:readme-retention-value": "{\"claim\":\"...20% of total value, vs 100% and 64% for the value-aware blend\",\"command\":\"\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-retention-value\",\"pin\":\"and **20%** of total value, vs **100%** and **64%** for\",\"status\":\"EXTERNAL\",\"tokens\":[\"20\",\"100\",\"64\"]}",
 "claim:readme-semantic-hold": "{\"claim\":\"Semantic recall@5 holds ~0.65 at full scale, ~2.6x lexical\",\"command\":\"\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-semantic-hold\",\"pin\":\"while semantic **holds at ~0.65** — ≈**2.6×** at full scale\",\"status\":\"EXTERNAL\",\"tokens\":[\"0.65\",\"2.6\"]}",
 "claim:readme-session-digest-control": "{\"claim\":\"NEGATIVE CONTROL: with the salience bar removed, rejection collapses to 0.2213\",\"command\":\"python probes/session_digest_multisession.py\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-session-digest-control\",\"pin\":\"collapses to **0.2213**\",\"status\":\"REPRODUCIBLE\",\"tokens\":[\"0.2213\"]}",
 "claim:readme-session-digest-cost": "{\"claim\":\"close_session costs 7 ms on the 2,606-record fixture\",\"command\":\"python probes/session_digest_multisession.py\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-session-digest-cost\",\"pin\":\"`close_session` costs 7 ms at that size\",\"status\":\"REPRODUCIBLE\",\"tokens\":[\"7\"]}",
 "claim:readme-session-digest-fixture": "{\"claim\":\"SessionEnd digest -> SessionStart injection, 8-session / 2,606-record fixture: injection recall 1.000 of a session's conclusions reach the next session\",\"command\":\"python probes/session_digest_multisession.py\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-session-digest-fixture\",\"pin\":\"Measured on an 8-session, 2,606-record fixture\",\"status\":\"REPRODUCIBLE\",\"tokens\":[\"2,606\",\"1.000\"]}",
 "claim:readme-session-digest-rejection": "{\"claim\":\"Below-threshold rejection 1.0000 on the same fixture\",\"command\":\"python probes/session_digest_multisession.py\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-session-digest-rejection\",\"pin\":\"**1.0000** of below-threshold items stay out\",\"status\":\"REPRODUCIBLE\",\"tokens\":[\"1.0000\"]}",
 "claim:readme-store-resolution": "{\"claim\":\"Cell 3 of the integrity benchmark, no judge involved: the raw recall payload is classified for whether it carries the corrected value and not the retired one. inspeximus 20 of 20, Hindsight 0.9.2 zero of 20, mem0 one of 20. Both competitors return both values.\",\"command\":\"python probes/integrity_bench_store_resolves.py --systems inspeximus\",\"file\":\"README.md\",\"id\":\"readme-store-resolution\",\"pin\":\"| after a correction, recall returns the new value and **not** the old one | **20 / 20** | 0 / 20 | 1 / 20 |\",\"status\":\"REPRODUCIBLE\",\"tokens\":[\"20\",\"0\",\"1\"]}",
 "claim:readme-supersession-8of8-withdrawn": "{\"claim\":\"WITHDRAWN: 'severe-test 8/8' -- the probe reports 0/24 and nothing here produces an 8/8\",\"command\":\"python probes/supersession_replication.py\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-supersession-8of8-withdrawn\",\"pin\":\"0/24, no artifact here produces an 8/8, and that figure has been withdrawn\",\"status\":\"WITHDRAWN\",\"tokens\":[\"0\",\"8\"]}",
 "claim:readme-supersession-auroc": "{\"claim\":\"A cosine classifier separating a contradiction from a rephrase scores AUROC ~0.61\",\"command\":\"python probes/supersession_replication.py\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-supersession-auroc\",\"pin\":\"scores **AUROC ~0.61**\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"0.61\"]}",
 "claim:readme-supersession-rerun": "{\"claim\":\"The 2026-08-01 re-run of that probe, quoted with its date\",\"command\":\"python probes/supersession_replication.py\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-supersession-rerun\",\"pin\":\"reproduced AUROC 0.613, stale-fact-error 41.7% under pure cosine and 0.0% under the SRO key\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"0.613\",\"41.7\",\"0.0\"]}",
 "claim:readme-supersession-stale": "{\"claim\":\"A similarity-based store serves the stale value ~42% of the time\",\"command\":\"python probes/supersession_replication.py\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-supersession-stale\",\"pin\":\"serves the **stale value ~42% of the time**\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"42\"]}",
 "claim:readme-supersession-zero": "{\"claim\":\"The deterministic SRO key drives the stale-value rate to 0%\",\"command\":\"python probes/supersession_replication.py\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-supersession-zero\",\"pin\":\"to **0%**. Re-run it: `python probes/supersession_replication.py`\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"0\"]}",
 "claim:readme-sybil-attack": "{\"claim\":\"Content-declared corroboration falls to a sybil at ~0.9 attack-success across 10 models\",\"command\":\"python probes/memory_defense_layer_probe.py\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-sybil-attack\",\"pin\":\"(~0.9 attack-success across 10 models\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"0.9\",\"10\"]}",
 "claim:readme-tests-and-mutations": "{\"claim\":\"Suite size, and the mutation gate that makes it evidence: 175 seeded, 175 killed\",\"command\":\"python tools/mutation_check_parallel.py\",\"file\":\"README.md\",\"id\":\"readme-tests-and-mutations\",\"pin\":\"**2,600+ tests**\",\"status\":\"REPRODUCIBLE\",\"tokens\":[\"2,600\",\"175\"]}",
 "claim:readme-time-gap-cause": "{\"claim\":\"GAP CONTROL: 0 of 80 top-1 answers move when the two reads are not separated at all\",\"command\":\"python probes/recall_over_a_time_gap.py\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-time-gap-cause\",\"pin\":\"at a zero gap 0 of 80 differ\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"0\",\"80\"]}",
 "claim:readme-time-gap-fixture": "{\"claim\":\"The time-gap measurement runs on four LOCOMO conversations, 80 questions sampled from each\",\"command\":\"python probes/recall_over_a_time_gap.py\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-time-gap-fixture\",\"pin\":\"Four LOCOMO conversations, 80 questions each\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"80\"]}",
 "claim:readme-time-gap-movement": "{\"claim\":\"Reading the same untouched store twice ~2s apart moves 64-83 of 320 top-1 answers (four LOCOMO conversations, 80 questions each, reinforce=False)\",\"command\":\"python probes/recall_over_a_time_gap.py\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-time-gap-movement\",\"pin\":\"between 64 and 83 of 320 top-1 answers differ\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"64\",\"83\",\"320\"]}",
 "claim:readme-time-gap-no-direction": "{\"claim\":\"Across five randomised insertion orders the hit@1 change over the gap runs +0.0094 to -0.0219\",\"command\":\"python probes/recall_over_a_time_gap.py\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-time-gap-no-direction\",\"pin\":\"the hit@1 change runs +0.0094 to\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"0.0094\"]}",
 "claim:readme-time-gap-saturates": "{\"claim\":\"The effect saturates: 16 of 80 move at a two-second gap and the same count at ten\",\"command\":\"python probes/recall_over_a_time_gap.py\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-time-gap-saturates\",\"pin\":\"16 of 80 move at two seconds and the same count at ten seconds\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"16\",\"80\"]}",
 "claim:readme-time-gap-spread-low": "{\"claim\":\"The hit@1 change is negative in only 2 of 5 randomised insert orders; natural conversation order alone reads -0.0062\",\"command\":\"python probes/recall_over_a_time_gap.py\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-time-gap-spread-low\",\"pin\":\"-0.0219, negative in 2 of 5. Natural conversation order alone reads -0.0062\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"-0.0219\",\"2\",\"5\",\"-0.0062\"]}",
 "claim:readme-time-gap-tie-band": "{\"claim\":\"Every top-1 answer that moved across the gap moved between records reported at the same score, e.g. 0.847 against 0.847\",\"command\":\"python probes/recall_over_a_time_gap.py\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-time-gap-tie-band\",\"pin\":\"same score (0.847 against 0.847)\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"0.847\"]}",
 "claim:readme-time-gap-tie-band-share": "{\"claim\":\"100% of the moved answers stayed inside a displayed tie, across all six insert orders\",\"command\":\"python probes/recall_over_a_time_gap.py\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-time-gap-tie-band-share\",\"pin\":\"100% of them, in all six insert orders tried\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"100\",\"6\"]}",
 "claim:readme-vault-contradictions": "{\"claim\":\"Contradiction detection runs in production over the ~10,000-note vault\",\"command\":\"\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-vault-contradictions\",\"pin\":\"runs in production over the 10,000-note vault\",\"status\":\"EXTERNAL\",\"tokens\":[\"10,000\"]}",
 "claim:readme-vault-hero": "{\"claim\":\"inspeximus has run daily over a ~10,000-note vault\",\"command\":\"\",\"file\":\"docs/DEEP_DIVE.md\",\"id\":\"readme-vault-hero\",\"pin\":\"run it daily over a private ~10,000-note vault\",\"status\":\"EXTERNAL\",\"tokens\":[\"10,000\"]}",
 "claim:readme-zero-deps-badge": "{\"claim\":\"Zero required dependencies -- every requirement in the wheel is an optional extra\",\"command\":\"curl -s https://pypi.org/pypi/inspeximus/json\",\"file\":\"README.md\",\"id\":\"readme-zero-deps-badge\",\"pin\":\"badge/dependencies-0\",\"status\":\"REPRODUCIBLE\",\"tokens\":[\"0\"]}",
 "claim:site-adapters": "{\"claim\":\"Homepage counter: 9 framework adapters\",\"command\":\"python -c \\\"import pathlib;print(sorted(p.stem for p in pathlib.Path('inspeximus/integrations').glob('*.py')))\\\"\",\"file\":\"index.html\",\"id\":\"site-adapters\",\"pin\":\"data-count=\\\"9\\\">0</b><span>framework adapters\",\"status\":\"REPRODUCIBLE\",\"tokens\":[\"9\",\"0\"]}",
 "claim:site-bench-graphiti": "{\"claim\":\"Benchmark bar: Graphiti 0.00\",\"command\":\"python probes/integrity_bench_revert.py --systems inspeximus,graphiti --n 20\",\"file\":\"index.html\",\"id\":\"site-bench-graphiti\",\"pin\":\">0.00<\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"0.00\"]}",
 "claim:site-bench-inspeximus": "{\"claim\":\"Benchmark bar: inspeximus 0.75\",\"command\":\"python probes/integrity_bench_revert.py --systems inspeximus --n 20\",\"file\":\"index.html\",\"id\":\"site-bench-inspeximus\",\"pin\":\">0.75<\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"0.75\"]}",
 "claim:site-bench-judge-nondeterminism": "{\"claim\":\"The judge is not deterministic at temperature 0.0: 30 runs on byte-identical contexts give 0.75 x26, 0.70 x2, 0.80 x2; mean 0.7500; the store is deterministic\",\"command\":\"python probes/the_judge_is_not_deterministic_at_temperature_zero.py --runs 30\",\"file\":\"index.html\",\"id\":\"site-bench-judge-nondeterminism\",\"pin\":\"0.75 in 26 of 30 runs\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"30\",\"26\",\"0.70\",\"0.75\",\"0.80\",\"0.7500\",\"0.05\"]}",
 "claim:site-bench-judge-sensitivity": "{\"claim\":\"Judge sensitivity among comparable judges is no larger than the same judge's run-to-run band\",\"command\":\"python probes/does_the_headline_number_depend_on_who_judges_it.py --n 20\",\"file\":\"index.html\",\"id\":\"site-bench-judge-sensitivity\",\"pin\":\"the figure moves to 0.80, inside that band\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"0.80\",\"1.00\"]}",
 "claim:site-bench-mem0": "{\"claim\":\"Benchmark bar: mem0 0.20\",\"command\":\"python probes/integrity_bench_revert.py --systems inspeximus,mem0 --n 20\",\"file\":\"index.html\",\"id\":\"site-bench-mem0\",\"pin\":\">0.20<\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"0.20\"]}",
 "claim:site-echo-control": "{\"claim\":\"The control: with our guard off we resurrect every time, so the number is the mechanism\",\"command\":\"python ramr_echo_resistance_backends.py  # RAMR repo\",\"file\":\"index.html\",\"id\":\"site-echo-control\",\"pin\":\"guard disabled we resurrect 100% of the time\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"100\"]}",
 "claim:site-echo-n": "{\"claim\":\"Sample size for the native-config echo run\",\"command\":\"python ramr_echo_resistance_backends.py  # RAMR repo\",\"file\":\"index.html\",\"id\":\"site-echo-n\",\"pin\":\"own native configuration (n=30)\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"30\"]}",
 "claim:site-echo-row": "{\"claim\":\"Corrected-fact resurrection per system on their native configs\",\"command\":\"python ramr_echo_resistance_backends.py  # RAMR repo\",\"file\":\"index.html\",\"id\":\"site-echo-row\",\"pin\":\"inspeximus 0%, Graphiti 13.3%, mem0 46.7%\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"0\",\"13.3\",\"46.7\"]}",
 "claim:site-integration-conformance": "{\"claim\":\"13 of 13 framework adapters verified against current upstream; 0 recorded broken\",\"command\":\"python tools/integration_conformance.py\",\"file\":\"index.html\",\"id\":\"site-integration-conformance\",\"pin\":\"13 of 13 verified against current upstream, 0 recorded broken\",\"status\":\"REPRODUCIBLE\",\"tokens\":[\"13\",\"13\",\"0\"]}",
 "claim:site-mcp-tools-counter": "{\"claim\":\"Homepage counter: 73 MCP tools\",\"command\":\"python claims_audit.py --numbers\",\"file\":\"index.html\",\"id\":\"site-mcp-tools-counter\",\"pin\":\"data-count=\\\"73\\\">0</b><span>MCP tools\",\"status\":\"REPRODUCIBLE\",\"tokens\":[\"73\",\"0\"]}",
 "claim:site-mcp-tools-heading": "{\"claim\":\"Homepage heading: 73 MCP tools\",\"command\":\"python claims_audit.py --numbers\",\"file\":\"index.html\",\"id\":\"site-mcp-tools-heading\",\"pin\":\"73 tools any MCP host can call\",\"status\":\"REPRODUCIBLE\",\"tokens\":[\"73\"]}",
 "claim:site-mem0-version": "{\"claim\":\"The exact competitor version and date measured, stated rather than implied as current\",\"command\":\"curl -s https://pypi.org/pypi/mem0ai/json\",\"file\":\"index.html\",\"id\":\"site-mem0-version\",\"pin\":\"mem0 measured at 2.0.11 (2026-07)\",\"status\":\"REPRODUCIBLE\",\"tokens\":[\"2.0.11\",\"2026\"]}",
 "claim:site-revert-bench": "{\"claim\":\"Cross-system revert success over n=20: inspeximus 0.75, mem0 0.20, Graphiti 0.00\",\"command\":\"python probes/integrity_bench_revert.py --systems inspeximus --n 20\",\"file\":\"index.html\",\"id\":\"site-revert-bench\",\"pin\":\"over 20 trials, with 95% Wilson intervals\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"0.75\",\"0.20\",\"0.00\",\"20\",\"95\"]}",
 "claim:site-revert-counter": "{\"claim\":\"Homepage counter restating the revert cell\",\"command\":\"python probes/integrity_bench_revert.py --systems inspeximus --n 20\",\"file\":\"index.html\",\"id\":\"site-revert-counter\",\"pin\":\"data-count=\\\"0.75\\\" data-decimals=\\\"2\\\">0</b><span>revert success (vs 0.20, n=20)\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"0.75\",\"0.20\",\"20\",\"0\"]}",
 "claim:site-source-coverage-populated": "{\"claim\":\"Our own store: fraction of records carrying a source field\",\"command\":\"curl -sO https://raw.githubusercontent.com/DanceNitra/agora/main/research/probes/can_we_reconcile_our_own_index.py && python can_we_reconcile_our_own_index.py\",\"file\":\"index.html\",\"id\":\"site-source-coverage-populated\",\"pin\":\"98.3% populated\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"98.3\"]}",
 "claim:site-source-coverage-refetch": "{\"claim\":\"Our own store: fraction whose source actually resolves\",\"command\":\"curl -sO https://raw.githubusercontent.com/DanceNitra/agora/main/research/probes/can_we_reconcile_our_own_index.py && python can_we_reconcile_our_own_index.py\",\"file\":\"index.html\",\"id\":\"site-source-coverage-refetch\",\"pin\":\"and 0.01% re-fetchable\",\"status\":\"REPRODUCIBLE-WITH-DEPS\",\"tokens\":[\"0.01\"]}",
 "claim:site-zero-deps": "{\"claim\":\"Homepage counter: 0 runtime dependencies\",\"command\":\"python claims_audit.py --local\",\"file\":\"index.html\",\"id\":\"site-zero-deps\",\"pin\":\"<b>0</b><span>runtime dependencies\",\"status\":\"REPRODUCIBLE\",\"tokens\":[\"0\"]}"
}