RSIAgent report verification

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

Verification

The five supplied members support a bounded implementation account. No material blocker was found. I read every declaration, annotation, source anchor, status, containment relation and reconciliation amendment, and independently inspected the consequential control and state transformations. The supplied structural check says none; all four correction-answer inputs are empty. There is no declined objection or structural failure to route. The registered checkout's HEAD equals the reviewed revision and its working tree is clean. The tracked top-level tree agrees with the boundary coverage. No source, target or functional-boundary change is needed.

Runtime and workflow

The provider-component findings distinguish configured model identities from immutable weight versions. Searches of the role and baseline configurations support the Actor, Verifier, Curriculum and vision identities and the described escalation. Completion-client source supports invocation rather than runtime weight training; it does not expose provider internals. The four component records therefore support their qualified mutability account, not independently verified fixed weights (RT-CMP-actor, RT-CMP-verifier, RT-CMP-curriculum, RT-CMP-vision-model; SRC-1, config/roles/actor.yaml, config/roles/verifier.yaml, config/roles/curriculum.yaml, config/osworld/baseline.yaml, llm/client.py).

Independent tracing supports the separation of task execution, candidate judgment, outcome-driven practice and bank publication. In particular, the Phase-2 adapter requires the inner status, committed route and nonempty report before producing PASS or FAIL. The generic outer loop learns before practice, preserves a passed environment during zero-project review, releases failed environments, and requires a fresh target after practice. A final post-STALLED attempt is not automatically correct. The pipeline independently rejects UNVERIFIED and checks policy, bank lineage and evaluator-boundary records before freezing and evaluation. These checks support the result object's meaning and the workflow's delivery criterion, including completed development with a final local FAIL (RT-OBJ-loop-result, RT-RTE-task-execution, RT-RTE-curriculum-search, WF-RTE-phase-transition; SRC-1, core/self_evolving_loop.py, benchmarks/osworld/phase2.py, benchmarks/osworld/pipeline.py).

The confinement claims remain appropriately path-scoped. The inspected effect-isolation wrapper establishes private namespaces, read-only candidate mounts, writable scratch and privilege dropping before model code. Rollback mirror instead restores checkpoint-covered guest state. Trusted image operations and lexical Done probes are different paths; no system-wide noninterference claim is warranted. Report-token routing gives code-level control authority, not semantic certification (RT-RTE-candidate-verification, RT-BAP-verdict-routing; SRC-1, core/verifier_runtime.py, env/qemu_rollback.py, core/checks.py, core/verifier.py). The supplied passages and the independently read implementations support these distinctions.

Memory and context

The learning producer/consumer chain is supported: the same active Actor history enters distillation, reconciliation and diagnosis; the host pulls candidate bytes, audits them, refuses a changed accepted subset, journals and installs the complete tree. The parallel-wave branch first receives the current canonical bank at serialized commit. The installer stages and fsyncs before renaming, with exception recovery; it is not an always-visible crash-proof swap. The direct destructive replacement API must not inherit that guarantee (RT-RTE-learning-admission, MEM-OBJ-memory, MEM-OBJ-memory-journal, MEM-OBJ-learning-diagnosis; SRC-1, explore/target_learning.py, explore/phase1_wave.py, explore/practice_loop.py, explore/commit.py).

The retrieval preamble supplies names and sizes, labels advice fallible and leaves content reads to the Actor. Standalone OSWorld upload failure continues without memory; Phase-2 and ALE attachment failures raise. Host freeze does not freeze guest copies. Curriculum notes are separately audited and retained only on a nonempty read; the empty-bank ablation preserves diagnosis and outcome channels. These facts support distinct downstream authority rather than a single shared memory consumer (RT-BAP-actor-method, MEM-OBJ-curriculum-notes; SRC-1, explore/charter.py, explore/unified_evolution.py, benchmarks/osworld/task.py, benchmarks/osworld/phase2.py, benchmarks/ale/worker.py).

Direct inspection confirms the WORK LOG's old-batch selection, head/tail elision, capped model output, empty-response digest fallback and later context substitution. Restart synthesis is a distinct alternative to prior folding. Verifier replay instead preserves selected substantive actions, observations and image attachments while removing actionless exchanges. Scratch export can fail under explicit recovery tolerance only with mandatory executor closure; conversation persistence is not scratch persistence. Image archive bytes and their wire rehydration are not semantic summaries (MEM-OBJ-work-log, MEM-RTE-worklog-fold, MEM-OBJ-verifier-scratch, MEM-OBJ-durable-images, MEM-RTE-verifier-replay; SRC-1, core/loop.py, core/verifier.py, llm/client.py).

The selected recovery admissions support lineage continuity rather than operator-created correctness. Hash/configuration, committed-bank and role-history checks are consequential gates. Verified-memory recovery restores candidate material and full saved learning context without rerunning Actor work or Verifier judgment, and charges prior budget. The reports explicitly leave other reconstruction variants uninspected; they claim no exhaustive recovery guarantee (RT-RTE-lineage-recovery; SRC-1, explore/phase1_boundary_recovery.py, explore/phase2_recovery.py, explore/practice_memory_recovery.py).

Epistemic findings and reconciliation

The epistemic objects separate observations, report judgments, bank content, working summaries and official scores. The corresponding route parts preserve acquisition, checking, transport disposition, proposal, boundary admission and retention as different functions. I checked the probe and parser counterexamples against their actual predicates: lexical PASS screening does not establish task completeness, and an unambiguous report token does not establish evidential adequacy. Likewise, corpus-overlap screening cannot establish a lesson's truth. WORK LOG lossiness is supported by the actual string projections, not merely the summarizer's name (EPI-OBJ-observation, EPI-OBJ-verifier-report, EPI-RTE-observation-import, EPI-RTE-probe-check, EPI-RTE-candidate-check, EPI-RTE-verdict-admission, EPI-RTE-worklog-fold, EPI-RTE-memory-proposal, EPI-RTE-memory-admission, EPI-RTE-bank-retention; SRC-1, core/checks.py, core/verifier.py, core/loop.py, llm/client.py, explore/charter.py, explore/commit.py, explore/target_learning.py).

ALE host code checks worker completion, safe-to-grade, output collection and numeric outcome validity before publication. Its report consumer refuses distinct duplicate score sources and withholds the complete-cohort mean when incomplete. The one-score arithmetic example is supported. Neither route establishes manuscript provenance or evaluator correctness (EPI-OBJ-evaluation-score, EPI-RTE-official-score, EPI-RTE-score-report; SRC-1, benchmarks/ale/host.py, benchmarks/ale/report.py). README claims remain attributed doctrine or reported results, including selected retries and heterogeneous budgets, not observed or causal evidence (RT-CLM-training-free, EPI-CLM-knowledge-feedback, EPI-CLM-reported-scores; SRC-1, README.md). The separate theory-condition, learning, reflection and dispositional self-change assessments preserve the distinction between requested behavior, wired return channels and demonstrated semantic or causal effects.

Both reconciliation amendments have supported referent identity: the epistemic bank and WORK LOG objects duplicate the memory objects (EPI-OBJ-memory, EPI-OBJ-worklog). The broader memory WORK LOG account retains restart alternatives without making every handoff a folded log. I checked every explicit Part of: relation: the task and verification route containers correctly contain the narrower functions, report text is a result part, and the narrower knowledge-feedback claim is part of the broader improvement claim. Distinct diagnosis, notes, scratch, snapshots and observations are not duplicate declarations of their surrounding routes. The phase-transition route spans several outputs rather than belonging to exactly one container. There are no evidenced-absence records to authenticate. The apparent freshness/parser tension is resolved by the actual distinction between instructed investigation and transport checks; no unresolved contradiction remains. No amendment improperly upgrades a status or discards a contrary finding.

Omission questions and stopping decision

I used the frozen tree, alternate benchmark attachments, recovery dispatch and the dependencies between learning, installation and later calls to select omission questions. Could a shipped alternate consumer invalidate memory delivery or host-freeze conclusions? The inspected OSWorld and ALE attachment behavior supports the reports' qualifications. Could publication bypass the semantic/physical admission distinction? The generic replacement API and parallel commit path do not defeat the explicitly scoped installer and admission claims. Could another context projection invalidate claims about retained images? A Curriculum project-boundary projection is omitted from the retained inventory; its limited consequence is recorded below. Could recovery or cohort reporting secretly establish successful improvement? The inspected gates establish continuity and conditional arithmetic only, not semantic uptake or a component intervention.

Further omission expansion stopped because each selected challenge now has a supported disposition or local limit, and no identified material contradiction or unsupported emitted comparison remains. Unread recovery variants and preparation internals cannot support exhaustive comparisons, but the submitted account already withholds those conclusions. No target code, tests, model calls or runtime fixtures were executed. Source inspection supports implementation and doctrine only; it supplies neither observed activation nor causal benefit.

Blockers

none

Limits

• The working-context inventory omits Curriculum's project-boundary image eviction. This limits comparison of Curriculum visual continuity, not the supported bank-learning route or the Verifier-specific substantive replay account (RT-RTE-curriculum-search, MEM-OBJ-durable-images, MEM-RTE-verifier-replay). Independent implementation inspection found that SRC-1, explore/practice_loop.py removes private image attachments from live Curriculum history while retaining text and adding a note to reissue Look; explore/phase1_wave.py invokes this projection after a complete wave. Raw archived pixels therefore do not imply that every later Curriculum call receives those pixels. Withhold a complete inventory of image reload/eviction routes. The omitted mechanism does not contradict the report's scoped image rehydration capability or imply that Verifier replay drops substantive images. The load-bearing removal is:

  message = dict(original) attachments = message.pop(DURABLE_IMAGES_FIELD, []) --- explore/practice_loop.py