{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:MQZUO3E235AL5L6HN4KUUMRVC6","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":"ed7daaa546c12f9906e07b8235b859de305f9b1ff70ab65b520751c60c2197c3","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-05-30T08:49:34Z","title_canon_sha256":"cb377c8c87d1882e42776fc52313f7c238d4bfc1dad21125c7da71f10b7e121a"},"schema_version":"1.0","source":{"id":"2405.19842","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.19842","created_at":"2026-07-05T08:25:13Z"},{"alias_kind":"arxiv_version","alias_value":"2405.19842v1","created_at":"2026-07-05T08:25:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.19842","created_at":"2026-07-05T08:25:13Z"},{"alias_kind":"pith_short_12","alias_value":"MQZUO3E235AL","created_at":"2026-07-05T08:25:13Z"},{"alias_kind":"pith_short_16","alias_value":"MQZUO3E235AL5L6H","created_at":"2026-07-05T08:25:13Z"},{"alias_kind":"pith_short_8","alias_value":"MQZUO3E2","created_at":"2026-07-05T08:25:13Z"}],"graph_snapshots":[{"event_id":"sha256:c904e4f283ffb84e0da61fc10ea8c970e559076e2500e038b8e77d4fcb10a281","target":"graph","created_at":"2026-07-05T08:25:13Z","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/2405.19842/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) exhibit enhanced reasoning at larger scales, driving efforts to distill these capabilities into smaller models via teacher-student learning. Previous works simply fine-tune student models on teachers' generated Chain-of-Thoughts (CoTs) data. Although these methods enhance in-domain (IND) reasoning performance, they struggle to generalize to out-of-domain (OOD) tasks. We believe that the widespread spurious correlations between questions and answers may lead the model to preset a specific answer which restricts the diversity and generalizability of its reasoning pro","authors_text":"Chengwei Dai, Kun Li, Songlin Hu, Wei Zhou","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-05-30T08:49:34Z","title":"Improve Student's Reasoning Generalizability through Cascading Decomposed CoTs Distillation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.19842","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:ee669145d6bf638678990d4cb642ca0eb50a3de99c5764d7bd229e805a652bbe","target":"record","created_at":"2026-07-05T08:25:13Z","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":"ed7daaa546c12f9906e07b8235b859de305f9b1ff70ab65b520751c60c2197c3","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-05-30T08:49:34Z","title_canon_sha256":"cb377c8c87d1882e42776fc52313f7c238d4bfc1dad21125c7da71f10b7e121a"},"schema_version":"1.0","source":{"id":"2405.19842","kind":"arxiv","version":1}},"canonical_sha256":"6433476c9adf40beafc76f154a3235178e8eb31ef430f0129e209339dafd1224","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6433476c9adf40beafc76f154a3235178e8eb31ef430f0129e209339dafd1224","first_computed_at":"2026-07-05T08:25:13.182202Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:25:13.182202Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"m9cmdmT1n9vpT36wg9yP5FeiaufKdnB2OOP8ADh/Svp3n2j/0/QS6BPx2LZMsQ5V702Pjlr9drE46ORFGJ5lAg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:25:13.182695Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.19842","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ee669145d6bf638678990d4cb642ca0eb50a3de99c5764d7bd229e805a652bbe","sha256:c904e4f283ffb84e0da61fc10ea8c970e559076e2500e038b8e77d4fcb10a281"],"state_sha256":"ecec062f8d95a57a41e19ddeda255844409773cc377ec3630a4fe14467fbb254"}