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The Soulforge: Extension of Training

Long before the hammer falls, the metal has a history.

Soulforge binds an admitted corpus, base-model digest, objective, Recipe, Training Run, evaluation, and candidate weights into immutable lineage. Its tools may change; its evidence must survive the strike.

Soulforge is Designed; the passages below have no operational training or serving path yet. State of Work records delivery, and ADR 33 owns the law and complete record schemas.

Soulforge may run during an admitted idle resource window, but sleep supplies no training or consolidation contract. The forge instead follows the explicit passage below.

The Four Passages

Route Receives Leaves behind Refuses
Corpus admission Training Intent and nominated records Corpus Admission, exact membership, negative ledger, and sealed holdout Missing provenance, authority, privacy clearance, relevance, or a viable uncontaminated holdout
Dataset compilation One admitted snapshot Immutable Dataset Manifest with preserved lineage and splits Unadmitted material, changed dataset splits, or holdout leakage
Training run Manifest, base digest, objective, Recipe, and resource request Training Run receipt and frozen Candidate Bundle Unpinned inputs, a refused resource window, or unknowable retry state
Candidate handoff Frozen bundle and evaluation contract Drift Outcomes and an externally owned Promotion Decision Trainer self-grading, mutable custody, or unowned serving

Each passage needs its own admission: Orchestrator decides the physical transition; passing independent Drift evaluation establishes eligibility; owning policy and required Magus/HitL authority decide promotion. The serving owner alone registers and routes the exact promoted digest.

Observation may trigger rollback or lineage invalidation. It cannot rewrite an earlier record, erase completed effects, or remove learned influence from weights already produced.

Discernment training applies these passages to SDLC experience and human corrections: preserve the reason and conditions of a choice, then test transfer through an independent evaluation. Ouroboros connects that slower return to ordinary Context, memory and workflow improvement.