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Stored Utility Usage 58 EN
한국어 · Results and interpretation
riido-storedutility is a Go maintainer tool for checking candidate-ordering headroom. It ranks public request/candidate prose with four controls and compares with previously stored truth, requiring neither model weights nor Python. It executes no candidate source or Laya model. It does not activate routing or replace human approval.
From the repository root with Go 1.27.1:
go test ./internal/storedaudit ./cmd/riido-storedutilityTests verify frozen input, plan and original-result hashes, then replay nonlearned rankings. CI runs the same tests on Linux/macOS. These repetitions add no official experiments or independent requests. They do not execute the historical Darwin binary on Linux.
In results-58.json, evaluation.metrics contains control totals, group_metrics contains group costs, and rows contains per-request orders, acceptable candidates and unknown reasons. possible_relative_gain is an answer-knowing upper bound, not achieved performance. Read training_ready=false and stop_reasons alongside it. The narrow rule's 72/72 fallbacks mean every request used BM25.
This describes the completed collection procedure. It requires separate actual 40-hex source and input commits. Retain the same executable from plan generation through evaluation and commit the plan before ranking.
CGO_ENABLED=0 go build -trimpath -buildvcs=false -p=1 -o PRIVATE_BINARY ./cmd/riido-storedutility
PRIVATE_BINARY plan --repo . --source-commit SOURCE_COMMIT --out NEW_PLAN_FILE
# Copy NEW_PLAN_FILE bytes to execution-plan-58.json and freeze a separate input commit
PRIVATE_BINARY audit --repo . --input-commit INPUT_COMMIT --out NEW_RESULT_DIRECTORYUppercase names such as PRIVATE_BINARY are explanatory placeholders. The historical plan pins the actual Darwin arm64 executable hash, so another OS/build cannot rerun official evaluation against it. Use regression tests for ordinary verification. New experiments need new versioned plans, inputs and results without overwriting phase 58.
plan verifies metadata binding with zero ranking calls. audit checks actual Git bytes for nine sources, 13 support files, three inputs and one plan, reserving a new directory and result file before evaluation. Preserve partial failure records. Path reuse protection is not a host-wide duplicate-execution guarantee; maintain the separate one-attempt/zero-retry official ledger.
Keep every candidate and fallback. Never convert unknown into incorrect/no-answer. Truth is not passed to scorers; only request/candidate prose supplies features. See the pre-observation plan for settings and file limits. Do not infer actual CPU/GPU memory or cost savings from this record.
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