{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:5WAXIALJU7NTGPOIZBK6LXVOSR","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":"5fa92a87a962dfb69b2754896884e7e021da4175705beac5682d81c03f3e5205","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-02-05T05:27:11Z","title_canon_sha256":"f16410dd3468fd238b5c3152b7f25dac662b439672c33aa48574fde6de91e622"},"schema_version":"1.0","source":{"id":"2602.17686","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.17686","created_at":"2026-07-10T01:19:42Z"},{"alias_kind":"arxiv_version","alias_value":"2602.17686v4","created_at":"2026-07-10T01:19:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.17686","created_at":"2026-07-10T01:19:42Z"},{"alias_kind":"pith_short_12","alias_value":"5WAXIALJU7NT","created_at":"2026-07-10T01:19:42Z"},{"alias_kind":"pith_short_16","alias_value":"5WAXIALJU7NTGPOI","created_at":"2026-07-10T01:19:42Z"},{"alias_kind":"pith_short_8","alias_value":"5WAXIALJ","created_at":"2026-07-10T01:19:42Z"}],"graph_snapshots":[{"event_id":"sha256:9dea790d6b399e1efdcf0c3e7a2ec41e72b3e2a00a4a2c8a86d2f2588d0524d8","target":"graph","created_at":"2026-07-10T01:19:42Z","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/2602.17686/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Distilling Chain-of-Thought (CoT) reasoning from large language models into compact student models presents a fundamental challenge: teacher rationales are often too verbose for smaller models to faithfully reproduce. Existing approaches either compress reasoning into single-step, losing the interpretability that makes CoT valuable. We present a three-stage curriculum learning framework that addresses this capacity mismatch through progressive skill acquisition. First, we establish structural understanding via masked shuffled reconstruction. Second, we apply Group Relative Policy Optimization ","authors_text":"Binhao Wang, Bowen Liu, Bowen Yu, Jingtong Gao, Maolin Wang, Sheng Zhang, Wanyu Wang, Xiangyu Zhao, Yi Wen, Zimo Zhao","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-02-05T05:27:11Z","title":"Curriculum Learning for Efficient Chain-of-Thought Distillation via Structure-Aware Masking and GRPO"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.17686","kind":"arxiv","version":4},"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:fd1b51c05fa7a12935da2e47319958ac6c793de2a4b7756217e189d4f664b233","target":"record","created_at":"2026-07-10T01:19:42Z","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":"5fa92a87a962dfb69b2754896884e7e021da4175705beac5682d81c03f3e5205","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-02-05T05:27:11Z","title_canon_sha256":"f16410dd3468fd238b5c3152b7f25dac662b439672c33aa48574fde6de91e622"},"schema_version":"1.0","source":{"id":"2602.17686","kind":"arxiv","version":4}},"canonical_sha256":"ed81740169a7db333dc8c855e5deae94796a0eb1de3e45c901f0840f236f44ef","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ed81740169a7db333dc8c855e5deae94796a0eb1de3e45c901f0840f236f44ef","first_computed_at":"2026-07-10T01:19:42.391961Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-10T01:19:42.391961Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VMWxuBY9Q7ykcuBVX1MtQqGlolUZCvRAvLJdoq7c/QGA0XUEjTEDkuBSHq+8pCpZI2Lome0skF6TqhHon/EnCg==","signature_status":"signed_v1","signed_at":"2026-07-10T01:19:42.392417Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.17686","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fd1b51c05fa7a12935da2e47319958ac6c793de2a4b7756217e189d4f664b233","sha256:9dea790d6b399e1efdcf0c3e7a2ec41e72b3e2a00a4a2c8a86d2f2588d0524d8"],"state_sha256":"fcd5e5d653b71d75ad830a03d65067d806374e2a745b408caa98ebc4ef5e963c"}