Integrated Resource-Bounded Baseline / V59
An integrated application loop connects supported Context routes, continuing executable audits, historical comparisons, independently checked Memory receipts, and G closure. It passed 48 typed telemetry cases and three path-policy cases; these are integration checks, not a sealed generalization benchmark. No new parameters were trained or candidates promoted.
The report below presents the recorded study design, methods, results, and interpretation. Open the complete journal for additional context and source provenance.
Validation and environment findings
The combined baseline, temporal Memory and continuing-agent regression suite passed 26 checks. After the R2 resource change, all 9 baseline checks passed again. Frontend typecheck passed. Two actual Edge browser scenarios passed: parallel completion/reload and missing-policy abstention/repair trace. Initial browser interception was replaced by the real frontend proxy; the cold route required a longer compilation-aware assertion timeout. No browser network interception remains in the final tests.
Repair data and limitations
Repair traces bind exact request inputs, source/code/config identities, producing packets, checker results, attribution and resource observations. Missing evidence and integrity/execution failures are not automatically training supervision. A deliberately corrupted proposal in a focused test produced an independently computed correction, but that is an injected diagnostic, not a naturally observed learning improvement. Traces stay training_admitted=false; the baseline has no training endpoint.
This is a first integrated bounded baseline, not completion of every EMMA component. Remaining integration work includes verified heterogeneous/proof and epistemic routes, broader executable task families, end-to-end responsible-module learning, useful successive acquisition, narrower source dependency/cache accounting and complete production hardening. Foundation attribution, general Context reasoning, arbitrary external weights, remote inference, learned self-repair and the deferred contextual decision chain remain open.