{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:DB4G4KMSCONZMDHMJS52Y5YVNQ","short_pith_number":"pith:DB4G4KMS","schema_version":"1.0","canonical_sha256":"18786e2992139b960cec4cbbac77156c00e1a5579864af26032406eef8f0c33a","source":{"kind":"arxiv","id":"2606.28562","version":1},"attestation_state":"computed","paper":{"title":"SEAD: Competence-Aware On-Policy Distillation via Entropy-Guided Supervision","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Chia-Hsuan Lee, Renkun Ni, Sambit Sahu, Shi-Xiong Zhang, William Campbell, Yu Wang, Zelei Cheng","submitted_at":"2026-06-26T19:41:02Z","abstract_excerpt":"On-policy distillation (OPD) has a property absent in offline distillation and RL: teacher supervision quality depends on student competence. Incoherent rollouts yield noisy gradients; already-mastered tokens yield redundant ones. This creates waste at three scales (tokens, training phases, and prompts) yet existing methods supervise uniformly. We introduce SEAD, which uses entropy as a unified probe of this competence-dependent degradation at three scales: (1) joint teacher-student entropy partitions tokens into zones receiving tailored divergences or zero gradient (approx. 50% skipped); (2) "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2606.28562","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-06-26T19:41:02Z","cross_cats_sorted":[],"title_canon_sha256":"fd1721fd2c79a03db86c65b50aaaacf362c59d066c0269d853fe2de6f27b2637","abstract_canon_sha256":"a2297b09aabf47edfa1efbf8857c1861e23a1e9650a328705f67de4d31951241"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-30T00:15:18.925468Z","signature_b64":"vPyDoGvBDXXpkY2AFGssii7oRWTmBEoXUqJWKyn+Eq79bIVDHSMxBK5dLxvZ4J8adIgGZHEEVD1RbJmeU6FKAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"18786e2992139b960cec4cbbac77156c00e1a5579864af26032406eef8f0c33a","last_reissued_at":"2026-06-30T00:15:18.925079Z","signature_status":"signed_v1","first_computed_at":"2026-06-30T00:15:18.925079Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"SEAD: Competence-Aware On-Policy Distillation via Entropy-Guided Supervision","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Chia-Hsuan Lee, Renkun Ni, Sambit Sahu, Shi-Xiong Zhang, William Campbell, Yu Wang, Zelei Cheng","submitted_at":"2026-06-26T19:41:02Z","abstract_excerpt":"On-policy distillation (OPD) has a property absent in offline distillation and RL: teacher supervision quality depends on student competence. Incoherent rollouts yield noisy gradients; already-mastered tokens yield redundant ones. This creates waste at three scales (tokens, training phases, and prompts) yet existing methods supervise uniformly. We introduce SEAD, which uses entropy as a unified probe of this competence-dependent degradation at three scales: (1) joint teacher-student entropy partitions tokens into zones receiving tailored divergences or zero gradient (approx. 50% skipped); (2) "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.28562","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2606.28562/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2606.28562","created_at":"2026-06-30T00:15:18.925134+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.28562v1","created_at":"2026-06-30T00:15:18.925134+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.28562","created_at":"2026-06-30T00:15:18.925134+00:00"},{"alias_kind":"pith_short_12","alias_value":"DB4G4KMSCONZ","created_at":"2026-06-30T00:15:18.925134+00:00"},{"alias_kind":"pith_short_16","alias_value":"DB4G4KMSCONZMDHM","created_at":"2026-06-30T00:15:18.925134+00:00"},{"alias_kind":"pith_short_8","alias_value":"DB4G4KMS","created_at":"2026-06-30T00:15:18.925134+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/DB4G4KMSCONZMDHMJS52Y5YVNQ","json":"https://pith.science/pith/DB4G4KMSCONZMDHMJS52Y5YVNQ.json","graph_json":"https://pith.science/api/pith-number/DB4G4KMSCONZMDHMJS52Y5YVNQ/graph.json","events_json":"https://pith.science/api/pith-number/DB4G4KMSCONZMDHMJS52Y5YVNQ/events.json","paper":"https://pith.science/paper/DB4G4KMS"},"agent_actions":{"view_html":"https://pith.science/pith/DB4G4KMSCONZMDHMJS52Y5YVNQ","download_json":"https://pith.science/pith/DB4G4KMSCONZMDHMJS52Y5YVNQ.json","view_paper":"https://pith.science/paper/DB4G4KMS","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.28562&json=true","fetch_graph":"https://pith.science/api/pith-number/DB4G4KMSCONZMDHMJS52Y5YVNQ/graph.json","fetch_events":"https://pith.science/api/pith-number/DB4G4KMSCONZMDHMJS52Y5YVNQ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/DB4G4KMSCONZMDHMJS52Y5YVNQ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/DB4G4KMSCONZMDHMJS52Y5YVNQ/action/storage_attestation","attest_author":"https://pith.science/pith/DB4G4KMSCONZMDHMJS52Y5YVNQ/action/author_attestation","sign_citation":"https://pith.science/pith/DB4G4KMSCONZMDHMJS52Y5YVNQ/action/citation_signature","submit_replication":"https://pith.science/pith/DB4G4KMSCONZMDHMJS52Y5YVNQ/action/replication_record"}},"created_at":"2026-06-30T00:15:18.925134+00:00","updated_at":"2026-06-30T00:15:18.925134+00:00"}