AutoSci profile verification
Type: agentic-system-analyses/types/agentic-system-verification.md
Verification
I checked all ten axes of the memory profile, including each finding's value and basis, unit coverage, unresolved alternatives and system-level implications. The handed reconciliation establishes no supersessions. Broad containers and narrower operative parts therefore retain their own warrants. I used the supplied records and their annotations only; no source files were read and no new quotations or records were produced. The cited records supply implementation and doctrine/design evidence, not observed operation or causal benefit.
| Axis | Judgment and support |
|---|---|
| Storage substrate | Files, volatile Python state and conditional repository retention are supported. MEM-OBJ-wiki-pages, MEM-OBJ-checkpoints, MEM-OBJ-ledger, MEM-OBJ-experience and RT-RTE-review-call distinguish the retained payloads and reconstructed state. The known assessment concerns these stores, not payload semantics or provider storage. RT-RTE-parallel-ingest and RT-RTE-daily-intake support the separately qualified repository findings, not unconditional transport. |
| Representational form | Natural-language and symbolic parts are separated by consumption, not serialization. MEM-OBJ-wiki-pages, MEM-OBJ-edges, MEM-OBJ-citations and EPI-OBJ-evaluation-receipt support the split. Arbitrary payload semantics remain unresolved; external decision-model weights are not silently classified as memory. Partial coverage is appropriate. |
| Lineage | Imported source claims, authored interpretations, compiled projections and trace-extracted feedback have distinct warrants in RT-RTE-knowledge-cycle, MEM-RTE-foundation-seeding, MEM-RTE-context-compilation and MEM-RTE-negative-memory. Known derivations do not settle initial deployment provenance. The partial assessment preserves this distinction. |
| Behavioral authority | Knowledge and negative guidance at model consumers are supported by RT-BAP-retained-context and MEM-RTE-negative-memory. Ranking, routing and executable controls are supported by MEM-RTE-context-compilation, MEM-RTE-ledger-replay, EPI-RTE-hiera-select and RT-RTE-hiera-search. Learning authority names the feedback-to-guidance update, not an inferred improvement. The emitted forces are supported, with the granularity limit below. |
| Write agency | Software-selected transformations and model admissions are distinct from explicit content approval. EPI-RTE-wiki-repair, RT-RTE-daily-intake, RT-RTE-knowledge-cycle and EPI-RTE-verdict-disposition support automatic and claimed manual findings. RT-RTE-browser-write does not establish a human principal. Generic caller and initial-admission uncertainty is retained rather than resolved from physical I/O. |
| Curation operations | Compilation/gap extraction support consolidation; first-occurrence cleanup and checkpoint normalization support deduplication. See MEM-RTE-context-compilation, MEM-OBJ-open-questions, EPI-RTE-edge-dedup and MEM-OBJ-checkpoints. MEM-RTE-memory-maintenance supports revision and scoped deletion; EPI-RTE-verdict-disposition supports claimed promotion and withdrawal of reliance. The profile does not turn requested semantic work into wired synthesis or complete transformation coverage. |
| Read-back direction | Requested wiki, recovery, thread and ledger access supports pull. Automatic intake preparation supplies selected retained context to a recommendation consumer and supports push. See RT-RTE-knowledge-cycle, RT-RTE-review-call, MEM-RTE-ledger-replay and the memory annotation on RT-RTE-daily-intake. Requested compiler output is not counted again as unsolicited delivery. Partial coverage preserves other delivery alternatives. |
| Read-back signal | The daily-intake annotation on RT-RTE-daily-intake supports coarse category/mtime/count/preview/log-tail selection. Lexical scoring of new papers is not retained-memory selection. Requested filenames and thread IDs do not establish identifier push. The profile keeps unresolved Hiera delivery alternatives outside the locally inapplicable pull units; it does not claim a complete push inventory. |
| Trace learning | Automatic experimental feedback can produce durable negative guidance and its brief projection for later model consumption; these are afforded chains in MEM-RTE-negative-memory and MEM-RTE-context-compilation. MEM-RTE-ledger-replay supports wired receipt/bout feedback affecting later execution. Neither classification requires learned weights or measured improvement. Report-only experience counts are not substituted for this consequential route. Unresolved branches remain unresolved, not local or system-wide negatives. |
| Trace source | Execution metrics/logs/receipts support tool traces in MEM-RTE-negative-memory, RT-RTE-hiera-search and EPI-OBJ-evaluation-receipt. MEM-OBJ-ledger and MEM-RTE-ledger-replay additionally identify actual reservation, release, decision and bout events with consequential consumers. Event-stream classification is supported by that content, not merely the JSONL wrapper. Mixed evaluator inputs remain outside the known execution/control-feedback unit. No session-log or trajectory learning is inferred solely from conversational storage or linked IDs. |
I checked the two reconciled wording disagreements against the profile's actual claims. The profile follows MEM-RTE-context-compilation's purpose budgets rather than implying experiments and stale entities appear in every brief. It also carries the ignored-payload qualification from RT-RTE-parallel-ingest, rather than relying on the memory annotation's broader task-isolation wording. Neither disagreement invalidates its emitted storage or mechanism findings.
The partial axes explicitly retain unresolved provenance, admission control, payload semantics and incompletely inspected transformation or delivery branches. Missing execution evidence does not undermine architectural findings, but prevents observation and benefit claims. No emitted finding claims those stronger bases. These uncertainties are faithfully scoped rather than additional defects.
Blockers
none
Limits
- The profile's
behavioral_authorityunits “Retained content/features consumed by context and intake selectors” and “Recovery metadata and Hiera retained execution controls at their code/agent consumers” aggregate several distinct retained-part/consumer/effect paths. See the profile rationale, MEM-RTE-context-compilation, MEM-OBJ-checkpoints, MEM-RTE-ledger-replay and EPI-RTE-hiera-select. Their notes and citations support the emitted forces, but these coarse units are not a one-to-one inventory suitable for counting mechanisms or comparing authority coverage at individual consumers. Withhold those finer comparisons. The axis already expresses partial inventory coverage; this granularity issue does not invalidate the supported force findings or require withdrawing a system-level positive.