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Finite Property Usage 56e EN
riido-propertyaudit is an offline Go maintainer tool aligning request meaning with truth evidence for tiny claim-model development. It loads no Laya or model weights. Humans and agents can follow request→candidate source→listed input→expected/observed values. It does not authorize general function correctness or safety.
The easiest check from the repository with Go1.27.1 is:
go test ./internal/finiteproperty ./cmd/riido-propertyauditThis reads public evidence and replays source behavior. Linux/macOS CI checks observation equality, adding no official experiment/model calls. The preserved Darwin executable was not thereby executed on Linux.
This describes the completed56e collection. A new experiment needs a new plan/version preserving historical records. Keep executables out of Git; record build recipes/hashes. Require real source/input Git commits and preserve the same executable between preparation/audit.
CGO_ENABLED=0 go build -trimpath -buildvcs=false -p=1 -o PRIVATE_BINARY ./cmd/riido-propertyaudit
PRIVATE_BINARY --stage prepare --source-commit SOURCE_COMMIT --out NEW_PREPARATION
# Freeze dataset.json and plan.json bytes in a separate input commit, then:
PRIVATE_BINARY --stage audit --input-commit INPUT_COMMIT --in NEW_PREPARATION --out NEW_AUDITThe official run also used the environment in the frozen build recipe. Preparation emits dataset/plan with zero candidate execution. Audit requires equality with actual Git blobs at experiments/short-claim/probes-56e.json and execution-plan-56e.json. Existing output directories, tampered data, changed executables and bad input commits refuse. The CLI does not prevent repetition into every new directory, so maintain an honest official-attempt/failure ledger.
Raw evidence includes full expected/got observations in source_results. rows preserves original candidate order and evidence indices. matches_finite_literals means agreement on listed inputs only, not other inputs, general function truth or model probability. finite_no_answer does not instruct removal or reduced checking: preserve candidates and fallback.
This is truth material for subsequent utility/training planning. Training eligibility false, fits/models/rankings0 and new independent parents0. Read English results, Korean and next public-source contracts for scope and remaining work.
riidolaya is experimental. No demonstrated Codex cost savings; repository selection is preview-only.
riidolaya는 실험 단계입니다. Codex 절감은 미입증이며 저장소 선택은 preview입니다.
English README · 한국어 README · Versioned Wiki sources / Wiki 원본
이전 연구 안내 펼치기 / Earlier research
- 실제 이어 학습 V3 · 한국어 · Actual V3 training · English
- 진행·완료 보고·질문100건 결과 KO · 100-case results EN
- 라벨·이모지·상태 힌트 KO · Content/state hints EN
- 개발 진행·완료 보고·질문 pilot KO · Development pilot EN
- 작은 검증 기록 KO · Compact evidence EN
- 현재 개발 자료 35개·다음 학습 조건 · 35-row data and next training gates
- 개발용 학습 자료 2개 · Two qualified training requests
- 첫 두 과제 실제 관측 · First two actual observations
- 전체 사용법 KO · Full usage EN
- 작은 동작 힌트 KO · Small hints EN
- 설명 보강 비교76 · Caption diagnostic76
- Go 압축 가중치78 · Packed Go weights78
- 공개 함수 동작 검증 · Public function verification
- 다음 학습 자료 준비 · Training data preparation
- 동작에서 학습 정답·실제 학습79 · Grounded labels and actual fit79
- 소스 동작 관찰 · Source observations
- 저장 크기와 RAM · Storage and RAM
- 라이선스 · Licensing
- 시점별 기록 원문 / Chronological history
- 전체 연구 링크 / Full research index
- 문서 목록 / Documentation