OS-Copilot profile verification

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

Verification

The memory profile is supported as a partial comparison inventory. I checked every axis's findings, local evidence bases, coverage assessments and classification units against the handed reports. I resolved the description, course-text and page-route supersessions through the supplied reconciliation. No finding relies on a superseded declaration as an independent witness. The valid web-model container and the broader candidate-code object do not add retained stores merely by existing.

The comparison boundary includes retained tool payloads and access structures, curriculum state, and benchmark rows with a later accounting/resume consumer. It does not substitute all runtime state for accumulated memory. The distinctions between ordinary graph state, repair feedback, growing example histories and accumulated artifacts are supported by RT-OBJ-tool-graph, RT-RTE-feedback-repair and RT-RTE-example-loops. The possible provider/page-service alternatives remain unresolved, not silently excluded or classified from inference alone.

Objects, forms and derivation

  • Storage substrate: the file and live-dictionary findings follow the retained code, description and course records. Persistent Chroma supports the vector finding without establishing a particular dependency-internal database layout. GAIA append/reload supports file storage. See MEM-OBJ-tool-code, MEM-OBJ-tool-description, MEM-OBJ-tool-vectordb, MEM-OBJ-course and EPI-RTE-gaia-comparison.
  • Representational form: source, prose, dense vectors and identity/control fields are separated. The symbolic classification concerns Python structure and fixed-rule metadata or exact-match operands; the natural-language finding concerns prose at model consumers. Numerical description embeddings do not imply updated model weights. These distinctions follow the same object records and RT-BAP-tool-context. Grouped prose units have the same form, evidence basis and coverage, while the authority axis separates their different effects.
  • Lineage: model authorship, imported maintenance files, docstring extraction, vector derivation and benchmark result extraction retain separate derivation paths. Known transformations do not resolve initial/direct-caller content or provider provenance. The partial embedding and import assessments preserve those gaps. See RT-RTE-tool-admission, RT-RTE-manual-maintenance, RT-CMP-tool-embeddings and the object records above.

Consumers, admission and maintenance

  • Behavioral authority: tool examples supply knowledge context; descriptions/vectors influence ranking; name joins route payload selection. Prior-course context and lesson-task instructions have distinct consumers. Saved benchmark references determine exact-match credit, and the retained resume index routes and enforces skipping. These are bounded operational effects, not evidence of semantic truth or successful task execution. See RT-BAP-tool-context, RT-BAP-course-tasks and EPI-RTE-gaia-comparison. No learning authority is required merely because transient feedback controls a qualifying trace-fed write: the profile correctly asks whether a retained part reaches an update consumer.
  • Write agency: automatic tool admission, derived access writes, curriculum saves and benchmark appends are software-controlled mechanisms. The manual finding is only afforded human content supply through documented maintenance, not an assertion that generic callers are human. Initial and generic writes remain unresolved. See RT-RTE-tool-admission, RT-RTE-manual-maintenance, RT-RTE-course-learning and EPI-RTE-gaia-comparison.
  • Curation operations: reduced docstring descriptions support consolidation; existing-entry replacement supports evolution; explicit deletion supports bounded forgetting. The deletion unit remains partial because live copies can survive and be reserialized. Neither requested nonduplication nor index construction is promoted to deduplication. Uncharacterized course-model transformations remain unresolved. See MEM-OBJ-tool-description, MEM-OBJ-course and RT-RTE-manual-maintenance, including its memory annotation.

Delivery and trace-fed writes

  • Read-back direction: the requested tool retrieval, course-file load and benchmark reload are pull operations. Automatic prior-course selection for the next design prompt is a distinct push. Returning requested tool content is not counted again as unsolicited delivery. See RT-BAP-tool-context, MEM-OBJ-course and EPI-RTE-gaia-comparison.
  • Read-back signal: the course push names its trigger, dictionary input and last-fifty selected entries. Coarse count/order filtering is supported; an identifier match is not inferred from filenames or dictionary keys. Pull-only operations are locally inapplicable, while unresolved service/provider alternatives prevent complete axis coverage. See MEM-OBJ-course and RT-RTE-course-learning.
  • Trace learning: execution-feedback-controlled admission produces durable code/descriptions with later model-context consumers. This supports the wired positive without requiring stored raw feedback or observed improvement. The repaired-score/original-code defect limits candidate fidelity, not the existence of that write/read chain. See RT-RTE-tool-admission, MEM-OBJ-tool-code and RT-BAP-tool-context. The profile does not convert accounting-only behavior or unresolved writes into unsupported local negatives.
  • Trace source: execution output/error supports tool-traces for that qualifying write. The records do not establish recorded session turns, event streams or linked trajectories as additional qualifying inputs. Optional demo, direct-caller and provider alternatives remain unresolved rather than inheriting the known source. See the admission records above, MEM-OBJ-course and EPI-RTE-page-content.

All ten axis assessments are partial and retain positive witnesses alongside named unresolved coverage. Local known assessments are confined to the inspected parts or mechanisms; they do not upgrade alternative provenance or opaque service state. Positive bases remain wired except the afforded human-maintenance mechanism. No observed operation, benefit or causal improvement is asserted. The profile's uncertainties already travel with its extracted values; they require no additional verification limit. No material unsupported comparison value or misleading completeness assertion was found.

No source reads were needed. This verification uses only the handed records, reconciliation, profile and governing contracts; it adds no source evidence or replacement classifications.

Blockers

none

Limits

none