Objective and architecture
Nano Factory prepares specialist-model research through immutable sessions, deterministic states, append-only events, campaign metadata, artefact descriptors, recovery inspection and a command-line interface. Its primary research direction has used a small instruction-tuned language model target, with bounded adapters and evaluation gates where separately authorised.
Sessions
Each execution has a numbered identity, lifecycle state, duration and result boundary.
State machine
Initialisation, validation, preparation, evaluation and approval states are deterministic.
Artefact lineage
Hashes, timestamps and relationship references support later inspection.
Recovery
Unexpected exit is surfaced through last completed state and checkpoint information.
Validation and research result
Infrastructure R0 passed its bounded session, logging, state, campaign, hashing and recovery tests without beginning the then-blocked training gate. Later R1.1 research completed a controlled continuation to a fixed ceiling. It improved bounded development measures, but passed only four of nine predeclared qualification checks.
- Claim
- Traceable factory infrastructure exists, and a bounded specialist-model candidate was experimentally evaluated.
- Method
- Session/recovery tests; controlled continuation with frozen qualification checks and sealed-holdout protection.
- Result
- Infrastructure passed; the candidate reached a terminal REVISE CANDIDATE outcome.
- Limitation
- No successful candidate, replacement claim, deployment, routing, promotion or held-out tournament evaluation is established.
- Source period
- 2026 infrastructure and research records.
Failure, recovery and planned development
The result is research only. The qualification thresholds were not lowered or reinterpreted, and no further training or holdout access follows automatically. Future roles such as routing, state interpretation and evidence categorisation remain hypotheses subject to separate evidence and approval.
Dataset Foundry supplies the qualification boundary; Evidence and External Memory supplies traceability; agent governance prevents automatic promotion.
Sources: canonical Nano Factory infrastructure, R1.1 corpus/holdout and terminal continuation result records. Model digests, campaign identities, artefact locations and raw dataset details are excluded.