ContextPilot reconciliation

Type: agentic-system-analyses/types/agentic-system-reconciliation-report.md

Reconciliation

Boundary and evidence basis

The four reports share the revision and source boundary registered in boundary. Their implementation findings, shipped instructions and attributed performance claims remain separate evidence layers. None supplies observed execution or a causal experiment. This reconciliation connects the handed reports only; it makes no additional source reads and declares no records. No correction answers or declined cross-report objections were supplied.

Identity and containment dispositions

No duplicate supersession is required. The overlapping declarations below retain distinct referents or valid container/part relationships; shared findings are not themselves record identity.

The workflow annotation adds handoff, recovery and delivery findings to the existing QA route. It declares no competing records. Epistemic ledger entries that repeat a route citation separate consequential functions; they do not introduce duplicate route identities.

Connected findings and integration dispositions

Delivery versus semantic acceptance. MEM-RTE-inference-stores and MEM-RTE-training-stores distinguish all-summary inventory push, requested full-entry reads and bounded neighbor displays. The epistemic assessment of EPI-OBJ-memory-content concerns warrant, while RT-BAP-context-policy concerns consequential prompt delivery. These findings converge without equating retention, operational admission or relevant review with evidence-consuming acceptance. The epistemic ledger's bounded lack of post-acceptance integration does not deny implemented indexing or later use.

Memory integration issue: synthetic trace origin. MEM-RTE-training-context adds code-authored cleanup with two outcomes: a trainable forced-action suffix and non-branchable snapshot, or emergency conditioning only. MEM-OBJ-trajectory-snapshots supplies the alternative length-boundary representation. This extends RT-RTE-training-rollout and RT-RTE-actor-update; neither declares that every credited action was sampled from the policy. The connection must retain mixed action provenance and the conditioning-only alternative, not infer that all cleanup is trainable. No conflicting finding remains.

Memory integration issue: restore and merge availability. MEM-OBJ-notes and EPI-RTE-memory-merge agree that optional merge concatenates bodies, loses rich fields and lacks default-schema exposure. Memory additionally records its immediate reindexing limitation. A wired configurable handler and the absence of an established ordinary merge caller are different findings, not contrary operation statuses. RT-OBJ-context-masks and RT-RTE-context-edit describe explicit restoration only where authorized; memory adds default-schema omission. These records do not assert ordinary availability of every implemented method. Restoration of a view also does not recover an overwritten keyed entry.

Memory integration issues: distinct containers and admission rules. The identity dispositions above resolve the snapshot/store overlap question without supersession. MEM-RTE-inference-stores requires new simple-note content and can preserve an omitted summary; MEM-RTE-training-stores permits normalized empty content and clears an omitted summary. These are implementation differences, not disagreements. The broad within-trajectory write account in RT-RTE-document-qa does not impose inference's checks on training.

Conditional workflow and two completion criteria. The workflow account connects retention, cleanup, review-event tracking, retry and artifact handoff to RT-RTE-document-qa. Its distinctions agree with RT-CLM-fsm-controls: computed allowed-set enforcement is conditional on configuration, base inference is an alternate path, and recovery reads establish delivery rather than relevant model checking. Driver artifact delivery can follow incomplete protocol execution. The epistemic operational-admission assessment preserves those same qualifications rather than treating an extracted answer as acceptance or correctness.

Evaluation force remains route-specific. The three offline evaluator records above annotate artifacts and aggregates without an established QA rollback or memory-revision consumer. Their parser/denominator rules differ: LongMemEval counts parse failures as false, while BrowseComp+ excludes unparsed verdicts. EPI-RTE-terminal-evaluation, in contrast, feeds RT-RTE-actor-update through RT-BAP-reward-actor. Agreement with an answer reference does not establish the truth of every retained fact or vindicate every ancestor edit. These are separate force and warrant findings, not inconsistent judgments about one evaluator.

Memory integration issue: unresolved downstream horizons. RT-CMP-actor-model, RT-CMP-compression-model, RT-RTE-actor-update and the memory annotations consistently retain unpinned provider state, unobserved semantic fidelity, untraced production adoption and no established cross-task semantic trace reload. Checkpoint resume and within-trajectory prompt read-back are positive wiring findings with different consumers and horizons. The epistemic conclusion preserves reward-responsive update capacity without asserting exercised learning, reflection, theory criticism or self-improvement. Missing outcome evidence does not cancel that capacity; capacity does not establish beneficial outcomes or validate EPI-CLM-performance-results.

Cross-report disagreements

No unresolved cross-report disagreement is identified in the handed versions. No dependent finding requires a supplied record to say something it no longer says. The remaining unknowns concern execution, warrant, provider identity, deployment and causal attribution, and are retained beside their respective routes rather than promoted to conflicts or resolved by choosing a stronger status. No required missing part is identified by this reconciliation. These connection dispositions do not judge the individual reports' evidential support or constitute report verification.