{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:BWFG4BY6Y3RUE6YWQQU2AZ7WSJ","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"89e3066685b2734a30da104976814b42b3f643f0d100c22faa2fd946e5cbdbaa","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-04-04T17:33:07Z","title_canon_sha256":"e059d60a42a2949591e09f0d3217f96a260edda6c5d72b95e042430f87fab896"},"schema_version":"1.0","source":{"id":"2504.03612","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.03612","created_at":"2026-07-05T12:02:00Z"},{"alias_kind":"arxiv_version","alias_value":"2504.03612v2","created_at":"2026-07-05T12:02:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.03612","created_at":"2026-07-05T12:02:00Z"},{"alias_kind":"pith_short_12","alias_value":"BWFG4BY6Y3RU","created_at":"2026-07-05T12:02:00Z"},{"alias_kind":"pith_short_16","alias_value":"BWFG4BY6Y3RUE6YW","created_at":"2026-07-05T12:02:00Z"},{"alias_kind":"pith_short_8","alias_value":"BWFG4BY6","created_at":"2026-07-05T12:02:00Z"}],"graph_snapshots":[{"event_id":"sha256:aaf2bb50e1c0dcf5e359c67ca69ca4ae47a2b59ced3e83ee8b228f60800bd6b2","target":"graph","created_at":"2026-07-05T12:02:00Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2504.03612/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Preference learning is critical for aligning large language models (LLMs) with human values, yet its success hinges on high-quality datasets comprising three core components: Preference \\textbf{A}nnotations, \\textbf{I}nstructions, and \\textbf{R}esponse Pairs. Current approaches conflate these components, obscuring their individual impacts and hindering systematic optimization. In this work, we propose \\textbf{AIR}, a component-wise analysis framework that systematically isolates and optimizes each component while evaluating their synergistic effects. Through rigorous experimentation, AIR revea","authors_text":"Bingxiang He, Bowen Sun, Cheng Qian, Ganqu Cui, Haiwen Hong, Hui Xue, Jiaxi Song, Longtao Huang, Maosong Sun, Ning Ding, Wanxiang Che, Wenbin Zhang, Zhiyuan Liu, Zixuan Fu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-04-04T17:33:07Z","title":"AIR: A Systematic Analysis of Annotations, Instructions, and Response Pairs in Preference Dataset"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.03612","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:c9507fac1851c6f0afa9dc5bdc837c2215f1836dfa1abc4d01875935cb403cea","target":"record","created_at":"2026-07-05T12:02:00Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"89e3066685b2734a30da104976814b42b3f643f0d100c22faa2fd946e5cbdbaa","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-04-04T17:33:07Z","title_canon_sha256":"e059d60a42a2949591e09f0d3217f96a260edda6c5d72b95e042430f87fab896"},"schema_version":"1.0","source":{"id":"2504.03612","kind":"arxiv","version":2}},"canonical_sha256":"0d8a6e071ec6e3427b168429a067f69246ba41588baa53318635f249d87740a3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0d8a6e071ec6e3427b168429a067f69246ba41588baa53318635f249d87740a3","first_computed_at":"2026-07-05T12:02:00.198643Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:02:00.198643Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dfJozPOpyy930VNoDCZlwCgVVLBFLT306T/i2zGSdGm/KcrfaOSdjonDMbHhnvAF7W3FoaycFuqAUhGA113IAw==","signature_status":"signed_v1","signed_at":"2026-07-05T12:02:00.199253Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.03612","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c9507fac1851c6f0afa9dc5bdc837c2215f1836dfa1abc4d01875935cb403cea","sha256:aaf2bb50e1c0dcf5e359c67ca69ca4ae47a2b59ced3e83ee8b228f60800bd6b2"],"state_sha256":"c347767d5a2afe63c7c2fc54dd10ca649f4d2564df6c02fe2276dba4056a20bc"}