Repository navigation
Validated Input 71 EN
Human and agent CLI/JSONL usage stays the same. Input normalization previously ran during both loading and ranking; a validated value now reuses that work.
riido-shortclaim --stream --baseline lexical_ordered < requests.jsonlGo callers can use shortclaim.LoadValidated(reader) or shortclaim.ValidateInput(input), then call .Rank(kind). Validation checks input shape and normalization; it grants no correctness or execution approval. Existing Rank(Prepared) remains available.
The public8-candidate fixture observed ranking allocations 81→0 and full-request allocations 291→210. Different profiling settings prevent a causal latency or whole-memory improvement claim. Full race/vet checks and original score/order/fallback regressions passed. Historical measurements retain their exact original source verification.
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