{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:HLWCKC7LLQXSB5ONXU6TBGRJHO","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":"096f51b1b9caa890944cfb81695386cdb123d0b0bdb7d3afeadb1a1fe924644c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-30T02:39:37Z","title_canon_sha256":"1601a84a315cd184654799743547f3dec8cac0a7999baf1a1250e57c91183e64"},"schema_version":"1.0","source":{"id":"2505.24147","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.24147","created_at":"2026-07-05T11:12:42Z"},{"alias_kind":"arxiv_version","alias_value":"2505.24147v1","created_at":"2026-07-05T11:12:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.24147","created_at":"2026-07-05T11:12:42Z"},{"alias_kind":"pith_short_12","alias_value":"HLWCKC7LLQXS","created_at":"2026-07-05T11:12:42Z"},{"alias_kind":"pith_short_16","alias_value":"HLWCKC7LLQXSB5ON","created_at":"2026-07-05T11:12:42Z"},{"alias_kind":"pith_short_8","alias_value":"HLWCKC7L","created_at":"2026-07-05T11:12:42Z"}],"graph_snapshots":[{"event_id":"sha256:65b11d7dd95bfaab0c1132801a9545520bd95cddba0a19561e3449ffc4a78b01","target":"graph","created_at":"2026-07-05T11:12:42Z","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/2505.24147/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Training language models with rationales augmentation has been shown to be beneficial in many existing works. In this paper, we identify that such a prevailing view does not hold consistently. We conduct comprehensive investigations to thoroughly inspect the impact of rationales on model performance as well as a novel perspective of model reliability. The results lead to several key findings that add new insights upon existing understandings: 1) Rationales can, at times, deteriorate model performance; 2) Rationales can, at times, improve model reliability, even outperforming their untrained co","authors_text":"An Yang, Benfeng Xu, Chang Zhou, Chiwei Zhu, Junyang Lin, Quan Wang, Zhendong Mao","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-30T02:39:37Z","title":"Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.24147","kind":"arxiv","version":1},"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":"sha256:6e0da9e5529dc43cec1237c487bf1ece9869cfe9a29d2807451422625e1f2cc6","target":"record","created_at":"2026-07-05T11:12:42Z","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":"096f51b1b9caa890944cfb81695386cdb123d0b0bdb7d3afeadb1a1fe924644c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-30T02:39:37Z","title_canon_sha256":"1601a84a315cd184654799743547f3dec8cac0a7999baf1a1250e57c91183e64"},"schema_version":"1.0","source":{"id":"2505.24147","kind":"arxiv","version":1}},"canonical_sha256":"3aec250beb5c2f20f5cdbd3d309a293b89d0ec9a11dff31ca741592647959f0f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3aec250beb5c2f20f5cdbd3d309a293b89d0ec9a11dff31ca741592647959f0f","first_computed_at":"2026-07-05T11:12:42.829278Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:12:42.829278Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EygphkvaraaR9QHzvoENIh1HJSSLDCspnnxNLY+adq+lld9NJcFTNenNrSH89efPc0JBKK6C7vGbzswYean3Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:12:42.829789Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.24147","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6e0da9e5529dc43cec1237c487bf1ece9869cfe9a29d2807451422625e1f2cc6","sha256:65b11d7dd95bfaab0c1132801a9545520bd95cddba0a19561e3449ffc4a78b01"],"state_sha256":"b0086d4e49cb64d69ee5a712e0338bd879b8603299f3d12724cb0600e588f70a"}