LLM Wiki profile verification

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

Verification

I checked all ten axes in the memory profile, including their unit scopes, positive findings, evidence bases and coverage assessments. The judgment uses the handed analyst records and annotations. No frozen-source reads, new quotations or replacement records were needed. The handed profile answers are empty; no predecessor objection is treated as an established defect.

The profile correctly uses an accumulated client-memory boundary rather than classifying every runtime dependency as memory. Static prompt constants, transient queues, current-call messages and inaccessible provider internals are excluded explicitly. Conditional Git history remains an included alternative, without treating article saves as commit creation. The reconciliation's fixture supersession is respected: classifications use MEM-OBJ-eval-set, not the superseded epistemic fixture declaration. The remaining overlapping objects retain their distinct parts and consumption paths.

Storage and form

The file and SQLite findings and the conditional repository affordance are supported. MEM-OBJ-normalized, MEM-OBJ-extracted, MEM-OBJ-wiki-body, MEM-OBJ-wiki-metadata, MEM-OBJ-newsletters and MEM-OBJ-eval-set identify the operative file parts. MEM-OBJ-ingested-ids and RT-OBJ-metrics establish SQL storage. RT-RTE-api-mutation supports historical retrieval conditional on external commits. Missing deployed payloads do not make these inspected substrates unknown.

The form units distinguish interpreted prose from fixed-rule fields and consumption paths. Token scoring and literal link matching give the text a symbolic consumption path without replacing its natural-language role at model consumers. No parametric memory value is inferred from external inference models. Within the explicit boundary, the known assessments do not conceal an included opaque storage alternative.

Lineage, authority and admission

Lineage preserves imported source material, compiled derivations, browser-authored replacements and execution-derived feedback as distinct paths. Initial curated entries, fixture initialization, arbitrary API payloads and external historical content remain unresolved. These distinctions follow MEM-RTE-curated-poll, MEM-OBJ-eval-set, RT-RTE-api-mutation and RT-OBJ-metrics. The partial axis does not turn a known later transformation into complete initial provenance.

Authority findings identify real consumers: model/reference context, BM25 ranking, acquisition/extraction vetoes, code routing and durable optimizer feedback. In particular, retained IDs and sidecar existence supply both admissibility criteria and enforced suppression, while confidence/status do not impose a general read quarantine. These findings agree with RT-RTE-batch-ingestion, MEM-OBJ-ingested-ids, RT-RTE-wiki-consumption and RT-RTE-prompt-optimization. Learning authority is local to the feedback update, not a claim of improved capacity or installed prompts.

Write agency separates software admission from explicit browser content submission. The manual browser witness is supported independently of the unresolved generic API caller in RT-RTE-api-mutation. Starting a batch does not make its downstream writes manual. Unknown initial admissions and reset-caller identity remain visible rather than being upgraded by known subsequent processing. Partial coverage is appropriate.

Curation and read-back

Curation positives have inspected witnesses: reduced retained-claim/context projections, entry revisions and increased reliance standing. EPI-RTE-claim-projection, EPI-RTE-newsletter-context, EPI-RTE-confidence-update and EPI-RTE-newsletter-admission support these distinctions. Promotion describes changed standing, not warranted verification. The profile does not infer synthesis from a generation request, memory deduplication from acquisition suppression, or withdrawal from a conflict flag. Unresolved model semantics and dependency withdrawal justify partial coverage without implying absence.

Read-back distinguishes requested returns from automatic downstream supply. The historical affordance is separated from wired current-file retrieval. Destination-specific old-body reuse, fixture supply, newsletter selection and paper context have supported push selectors in RT-RTE-knowledge-admission, MEM-OBJ-eval-set, EPI-RTE-newsletter-context and RT-RTE-wiki-consumption. Identifier findings refer to actual selected parts, not merely displayed paths. Paper topic matching is lexical; its count/prefix limits remain coarse. Requested BM25 delivery is not recounted as push. Unknown upstream authorship does not obscure the direction or selector on these recorded routes, so known coverage is supported for this scoped inventory.

Trace-fed feedback and evidence strength

The local trace-learning positive rests on automatic execution-feedback processing, durable experiment state and later optimizer dependence in RT-OBJ-metrics and RT-RTE-prompt-optimization. It does not rely on the uninstalled candidate prompt. Fixture subprocess results and JSON outcomes support tool-traces at the experiment update; static fixture documents do not themselves become trace sources. Incomplete producer provenance remains unresolved on both trace axes. Ordinary page processing is locally outside the identified trace-fed routes, not a system-wide negative.

All positive findings remain wired or afforded. None asserts observed activation, reliable model compliance, causal benefit or exercised self-improvement. The workflow's batch completion and review notifications do not strengthen these bases; its admission annotation preserves the distinction between local admission and successful verified delivery. Across the ten axes, the stated uncertainties preserve the supported comparison findings. I found no material unsupported value, false complete-coverage assertion or additional unresolved issue requiring a publication limit.

Blockers

none

Limits

none