OpenRSI profile verification
Type: agentic-system-analyses/types/agentic-system-verification.md
Verification
I checked all ten axes in the memory profile, including their findings, evidence bases, unit boundaries and coverage assessments, against the handed analyst records. I applied the supplied reconciliation: the canonical rich-summary object is MEM-OBJ-rich-summary; the epistemic summary routes remain distinct functions, and the combined card/board record does not replace the separate memory objects. No unresolved report conflict changes these classifications. No source reads or new quotations were needed.
The profile's scope correctly separates accumulated experience and training state from shipped static guidance. It retains external training and serving uncertainties without attributing fixed inference-provider internals to accumulated memory. All axes are partial; none asserts complete system coverage, bounded absence or system-wide negative trace learning.
| Axis | Support and disposition |
|---|---|
| Storage substrate | Files and in-process objects follow the journal/card/board/cache paths in MEM-OBJ-journal, MEM-RTE-experience-cycle and MEM-OBJ-rich-summary. SQLite and dataset files are separately supported by MEM-OBJ-sft-programs, MEM-OBJ-rl-programs and MEM-OBJ-sft-messages. SFT output files and weights follow RT-CMP-sft-model. The partial inventory is valid, with the local omissions stated below. |
| Representational form | The profile distinguishes interpreted text, symbolic code/metadata/token encodings and distributed parameters. These are supported by MEM-OBJ-journal, MEM-OBJ-sft-messages, RT-CMP-sft-model and RT-CMP-rl-model. Known parameter form does not require known exact weights or storage organization. Mixed parts are separated by form rather than classifying the JSON wrapper as the whole payload. |
| Lineage | Authored program/summary paths, trace extraction, aggregate/token compilation and dataset import concern distinct derivations. EPI-RTE-summary-produce, MEM-OBJ-experience-card, MEM-OBJ-strategy-board and RT-RTE-sft-training support those findings. Imported dataset acquisition does not settle historical corpus ancestry. |
| Behavioral authority | Knowledge at proposal models is supported by MEM-BAP-experience-guidance. Ranking, routing and eligibility vetoes have concrete selector consumers in MEM-RTE-operator-context, MEM-RTE-sft-reuse and MEM-RTE-rl-reuse. Validation/enforcement findings are scoped to retained flags consumed by those predicates, not universal truth certification. Learning authority at derived-memory writers or training consumers is separate from downstream advisory use; RT-BAP-training-parameters supports that distinction. The external RL update is not upgraded beyond afforded use. |
| Write agency | Software admission on generated-source, experience, database and dataset-filter paths supports automatic findings. RT-RTE-gym-build, MEM-RTE-experience-cycle, MEM-RTE-sft-reuse, MEM-RTE-rl-reuse and RT-RTE-sft-training do not establish per-content human approval. Caller-selected initial or replacement assets properly remain unresolved. |
| Curation operations | Card/board reduction and bounded display compression support consolidate; board rewriting and surviving-row metadata updates support evolve; configured top-k deletion supports decay; normalized-message removal supports dedup. The warrants are MEM-RTE-experience-cycle, EPI-RTE-summary-consume, MEM-RTE-rl-reuse and RT-RTE-sft-training. The profile does not infer synthesis from requested comparison text or invalidate from physical deletion. Actual model-summary semantics remain unresolved under EPI-RTE-summary-produce. |
| Read-back direction | Requested restoration/sample reads and automatic model-context supply are different operations, even within one chain. Pull is supported by MEM-RTE-experience-cycle, MEM-OBJ-rich-summary and RT-RTE-sft-training; push by RT-RTE-gym-build, MEM-RTE-operator-context, MEM-RTE-sft-reuse and MEM-RTE-rl-reuse. A getter upstream does not turn subsequent unsolicited context supply into requested delivery. |
| Read-back signal | Parent/ancestry/task identity matches select actual delivered material; recency tails, broad journal slices and fixed fitness/status/cap policies support coarse selection. The relevant selector inputs and delivered parts occur in MEM-RTE-operator-context, RT-RTE-gym-build, MEM-RTE-sft-reuse and MEM-RTE-rl-reuse. No inferred semantic selector follows merely from model-authored summaries. |
| Trace learning | The automatic Evo card/summary chain and RL derived-context chain have retained outputs and later proposal consumers under MEM-RTE-experience-cycle, MEM-RTE-operator-context and MEM-RTE-rl-reuse. The rollout-derived SFT branch has a training consumer under RT-RTE-sft-training. These support wired local yes findings without observed benefit. Arbitrary corpus ancestry and external numerical training alternatives remain separate unresolved units; no local no is invented. |
| Trace source | Execution feedback supports tool-traces; linked parent/current experiments support trajectories in MEM-OBJ-rich-summary and MEM-OBJ-experience-card. Recorded conversations and reconstructed root/debug-descendant segments support session-logs and trajectories on the SFT branch under RT-RTE-sft-training. MEM-RTE-rl-reuse supports the local RL tool-trace finding while leaving mixed helper inputs unresolved. Serialization and timestamps do not create event-stream provenance. |
Several units aggregate multiple objects or mechanisms. I checked whether this aggregation hides a different supported value, strength or unresolved branch. The positive witnesses remain local in their notes; separate uncertainty units preserve the material alternatives. The resulting inventory is coarse, not a complete per-object comparison matrix. This does not undermine the supported existence findings. In particular, missing execution evidence is not used to erase wired architectural findings, and the author-reported training validation is not used to establish observed operation.
Blockers
none
Limits
- The profile's partial storage inventory underclassifies two supported surfaces. RT-RTE-gym-build establishes persisted generated source/package material, but the storage units leave Gym within an uninspected lifecycle grouping without a separate local files finding. RT-CMP-rl-model establishes distributed actor/serving parameters, while the RL storage unit is wholly uninspected because its persistence organization is unresolved. These are local omissions from an explicitly partial inventory, not unsupported emitted values or claims of absence. Files and model-weights already have independent supported witnesses elsewhere in the profile, so the system-level existence union remains valid. Withhold object-level storage completeness and any inference that the uninspected Gym/RL units have no classifiable retained state; consult these records for their supported local facts.