llmwiki-marimo report verification

Type: agentic-system-analyses/types/agentic-system-verification.md

Verification

The pinned runtime, memory, epistemic, workflow and reconciliation members support a bounded implementation account. No publication blocker was found. This judgment does not establish successful operation, factual accuracy or improvement. The supplied structural report says none; all four correction-answer inputs are empty. There are no correction arguments to accept or decline.

Boundary, evidence and record review

I read every supplied member and assessed every declared record, its source anchors, evidence strength, annotations and dependent conclusions. I checked the semantic containment of each Part of: relation and the reconciliation's supersession and overlap dispositions. I did not treat quotation occurrence or the analysts' validation statements as substantive verification. Independent source inspection traced the consequential producer, admission and consumer branches described below. All added inspection supplies implementation evidence or attributed source-native design, not execution evidence.

The checkout HEAD equals the boundary's frozen revision. Its top-level tracked tree agrees with the boundary's coverage table. The Source register supplies the sole source, SRC-1. The shipped web and marimo callers, maintenance services and evaluation scripts are correctly inside the functional boundary. Provider internals and deployments are not silently attributed to the target. The whole-system boundary denotes the included loop, not a claim that every algorithm was audited.

Generation and admission. I traced source commit, extraction, existing-page input, overwrite, summary assembly and compensating recovery in SRC-1, base/domain/ingestion/pipeline.py and base/domain/ingestion/wiki_generator.py. This supports RT-RTE-document-ingest, including its raw-summary parse fallback and lack of per-generated-page approval. Model instructions do not enforce lossless merging. The source, prose and access-state distinctions in MEM-OBJ-source-text, MEM-OBJ-wiki-pages, MEM-OBJ-document-chunks, EPI-OBJ-source-text and EPI-OBJ-wiki-pages remain supported. Their encoding and lineage descriptions do not turn indexed prose into warranted facts. The epistemic ledger appropriately separates import, model-mediated transformation, operational admission and retention. EPI-CLM-wiki-compilation is a source-native reuse claim, not evidence of accepted novel knowledge.

Chat controls and alternate routes. I traced agent construction, service dispatch, history conversion, retrieval planning and final post-processing in SRC-1, base/domain/chat/agent.py, base/services/chat.py, base/domain/chat/preretrieval.py, base/domain/chat/guardrail.py, base/domain/chat/history.py and base/domain/chat/postprocess.py. RT-RTE-strict-chat checks substantive tool-return presence, not answer entailment. RT-RTE-preretrieval-chat has genuinely different open-page, collection, raw-source and dataset/advisory branches. Injected context bypasses the tool-presence check; only the raw tier receives the described lexical test. RT-RTE-streaming-chat really emits without the buffered post-check. Web dispatch and both marimo callers make these alternatives reachable; they are not conclusions drawn from unused helpers or types alone.

The six-message default tail, refused-exchange removal and table compaction support memory's annotations. The condenser returns a rewritten question, not a durable conversation summary or reload pointer. EPI-OBJ-chat-answer is distinct from the evidence delivered to generation. EPI-RTE-answer-format's marker countercase follows directly from the string branch: an existing marker suppresses copying without comparing table values. The reports correctly bound EPI-CLM-grounding-mandate by these mechanisms rather than promising every-fact support.

RT-CLM-readonly-chat and RT-BAP-chat-instructions correctly separate standard registrations, prompt guidance and arbitrary caller-supplied tools. RT-CMP-openai-model correctly limits fixity and version conclusions to the inspected integration; requested temperature is not deterministic behavior. No broader isolation guarantee follows.

Save workflow. I followed SRC-1, web/routes/chat.py, web/templates/_review_dialog.html, base/services/chat.py and base/domain/chat/wiki_tools.py from request through draft, optional verification, save and failure handling. RT-RTE-chat-save and the workflow account preserve the decisive distinction: normal web review offers a human veto, but the save endpoint requires neither draft provenance nor verifier approval. Marimo and convenience-service saves proceed without that interval. The writer's page effect precedes fallible reference/index/repair work; keeping editor text on failure is not rollback. Git is optional. Memory's trace-to-page annotation and the epistemic ledger's separate proposal, admission and retention functions are consistent with these handoffs. No workflow record requires supersession because workflow only annotates the shared save route.

Maintenance, withdrawal and diagnostics. I traced SRC-1, base/domain/tools/deletion.py, base/domain/tools/search.py, base/domain/verify/page.py, base/domain/verify/core.py, base/domain/verify/store.py, base/domain/verify/nli.py, base/domain/lint/checks.py and base/domain/repair/runner.py plus the contradiction/gap handlers in base/domain/repair/actions.py. MEM-RTE-source-withdrawal correctly reports deletion of one-to-one derivatives and stale marking of other citing pages. The search predicate does not exclude stale pages. Withdrawal therefore does not retract every derived assertion.

RT-CMP-local-nli-verifier, MEM-OBJ-page-verifications and EPI-OBJ-verification-report distinguish classifier parameters from retained scores and excerpts. MEM-RTE-page-verification, EPI-RTE-verify-check, EPI-RTE-verify-store and EPI-RTE-verify-use correctly separate computation, persistence and advisory use. Current thresholds reclassify stored scores; hashes license diagnostic reuse, not source truth. Unsupported/unverified issues are explicitly skipped by automatic repair. Optional web verification follows answer display and does not veto save.

EPI-OBJ-lint-issues, EPI-RTE-contradiction-check, EPI-RTE-contradiction-note, EPI-RTE-gap-check and EPI-RTE-gap-note preserve model diagnosis versus deterministic mutation. The shared-source/truncated contradiction input, title-only gap proposal and lexical filled-gap conditions support the narrow findings, not adjudication or semantic completeness. EPI-CLM-wiki-maintenance retains the source's report-only qualification. These parts fit RT-RTE-wiki-maintenance; none displaces its broader identity.

Configuration, data and derivation. Source reads in SRC-1, base/domain/ingestion/alias_generation.py, base/domain/chat/config.py, base/domain/datasets/source.py, base/domain/finance_argentina/agent_tool.py, base/domain/finance_argentina/validator.py, base/domain/finance_argentina/advisory.py and base/domain/finance_argentina/formulae.py, with service/cache searches, support RT-RTE-configure-grants, MEM-OBJ-aliases-generated, MEM-OBJ-datasets and EPI-OBJ-dataset-rows. Initial dataset provenance remains separate from known parse-on-query consumption and later alias generation. A cached agent is not equivalent to latest file data.

EPI-RTE-finance-check, EPI-RTE-finance-select, EPI-RTE-finance-derive and EPI-OBJ-advisory-result correctly separate structural suitability, eligibility and conditional arithmetic. I inspected both the variable-method branch and downstream formula dispatch: non-deterministic options are separated before ranked computation, while unsupported methods raise rather than yield a projection. This supports the bounded treatment of EPI-CLM-finance-advisory, not actual-return prediction or authenticated inputs.

Recovery, traces and evaluation. SRC-1, base/domain/rollback/revert.py and base/domain/tools/reindex.py support MEM-OBJ-index-snapshots and the rebuild-loss qualifications. Snapshot and file reconstruction are different recovery products. SRC-1, base/domain/tracing.py and scripts/render_trace.py support MEM-OBJ-spans: optional payload persistence and operator inspection are not an established automatic policy update. Direct evaluation and fixture code in SRC-1, scripts/eval_chat_model.py, scripts/build_eval_packet.py and scripts/build_golden_corpus.py supports RT-RTE-model-evaluation, EPI-RTE-eval-packet and EPI-RTE-corpus-freeze. Direct agents bypass service guards; freeze does not enforce prior verify success. Installer continuation is advisory. No completed theory-builder chain, learning benefit or exercised self-improvement is inferred merely from these capacities. The reports do not emit a system-complete negative about uninspected alternatives.

Reconciliation and omission-search disposition

The reconciliation correctly supersedes the dataset object by identity while retaining both declarations and their fields. Its non-supersessions are also justified: original-source containers exceed extracted text; wiki-file containers differ from indexed prose; stored page diagnostics are only part of transient-plus-stored reports. The page-verification chain and individual scoring/storage/use operations overlap without being identical. Every explicit containment relation is supported by the described progression. No conflict requiring correction is hidden by the reconciliation's convergence finding, and memory's integration issues retain their consequences.

Omission questions were selected from the frozen top-level tree, alternate shipped callers and dependencies of the central conclusions: could another caller bypass review or grounding; could deletion or verification prohibit later use; could finance compute a variable return through another branch; could a shipped evaluator close an automatic correction loop? The source traces above dispose of the first three without broadening guarantees. Repository searches of save writers, generation and evaluation consumers did not establish automatic evaluator-to-policy adaptation. I additionally inspected SRC-1, scripts/verify_battery.py: it drives service modes, verifies returned answers and retains per-question diagnostic results. Its aggregation is another evaluator surface, not an implemented production admission decision. The epistemic report already identifies this script as incompletely assessed, so this is a local inventory limit, not a contradiction.

record = {"question": question, "mode": mode, "run": run, "model": model, --- scripts/verify_battery.py

Further optional expansion stopped because these selected challenges have supported dispositions and no identified material challenge remains undisposed. Auditing all extractors, translations, evaluator internals and restoration failures could refine inventories, but is not needed to sustain the emitted mode-specific, caller-specific and conditional conclusions. Unsearched behavior is not evidence of absence.

Blockers

none

Limits

  • Evaluation coverage is partial. RT-RTE-model-evaluation, EPI-RTE-eval-packet, EPI-RTE-corpus-freeze and the epistemic coverage table do not enumerate every shipped evaluator. In particular, SRC-1, scripts/verify_battery.py also retains service-driven sentence-verification results. The described evaluator mechanisms remain supported; readers should withhold complete evaluator-inventory comparisons and a system-wide absence of further evaluation or feedback mechanisms.
  • Cross-caller refresh and recovery fidelity remain incomplete comparisons. RT-RTE-configure-grants, MEM-OBJ-aliases-generated, MEM-OBJ-index-snapshots and MEM-OBJ-document-chunks preserve known triggers, cached configuration and snapshot/reindex differences. Full refresh parity, crash consistency and every restoration failure were not established. Retained control updates and conditional recovery remain supported; immediate activation across every interface and universally lossless restoration should not be inferred.