{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:QXNFSYF6HORGFNBEXLKWYJF6NF","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":"6c105ff0609cb6a792bb8d88d17fd98eb759c5e3f323fa9a72ae0b3282633006","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-07T16:48:49Z","title_canon_sha256":"f7a438060b65d08a170e3d4f0a235466bb0245792baee2e3e1ccc24fcf9276c0"},"schema_version":"1.0","source":{"id":"2505.04560","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.04560","created_at":"2026-07-05T11:14:59Z"},{"alias_kind":"arxiv_version","alias_value":"2505.04560v3","created_at":"2026-07-05T11:14:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.04560","created_at":"2026-07-05T11:14:59Z"},{"alias_kind":"pith_short_12","alias_value":"QXNFSYF6HORG","created_at":"2026-07-05T11:14:59Z"},{"alias_kind":"pith_short_16","alias_value":"QXNFSYF6HORGFNBE","created_at":"2026-07-05T11:14:59Z"},{"alias_kind":"pith_short_8","alias_value":"QXNFSYF6","created_at":"2026-07-05T11:14:59Z"}],"graph_snapshots":[{"event_id":"sha256:638837c2805543f61fa5db7c1b4c2f4e0315ab15cf563587a5c32983fece2ef5","target":"graph","created_at":"2026-07-05T11:14:59Z","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/2505.04560/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Knowledge Distillation (KD) transfers knowledge from a large teacher model to a smaller student model by minimizing the divergence between their output distributions, typically using forward Kullback-Leibler divergence (FKLD) or reverse KLD (RKLD). It has become an effective training paradigm due to the broader supervision information provided by the teacher distribution compared to one-hot labels. We identify that the core challenge in KD lies in balancing two mode-concentration effects: the \\textbf{\\textit{Hardness-Concentration}} effect, which refers to focusing on modes with large errors, ","authors_text":"Guanghui Wang, Qianqian Xu, Qingming Huang, Shi Wang, Zhiyong Yang, Zitai Wang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-07T16:48:49Z","title":"ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $\\alpha$-$\\beta$-Divergence"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.04560","kind":"arxiv","version":3},"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:dc4ce87cbd31fe5cd4a10461827dca431439ffbd687980e1323bd748a5d9a9b1","target":"record","created_at":"2026-07-05T11:14:59Z","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":"6c105ff0609cb6a792bb8d88d17fd98eb759c5e3f323fa9a72ae0b3282633006","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-07T16:48:49Z","title_canon_sha256":"f7a438060b65d08a170e3d4f0a235466bb0245792baee2e3e1ccc24fcf9276c0"},"schema_version":"1.0","source":{"id":"2505.04560","kind":"arxiv","version":3}},"canonical_sha256":"85da5960be3ba262b424bad56c24be695247ffdabe960bcf7527d91799570211","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"85da5960be3ba262b424bad56c24be695247ffdabe960bcf7527d91799570211","first_computed_at":"2026-07-05T11:14:59.273426Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:14:59.273426Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"q/YWt06psoDRvzyCqyLVZwkd04/XAJID0eY/IT4GF+FjLE5iMcmkBIigdZIehZ+cjv6V+OnLaPr4Beboa6vTCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:14:59.273908Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.04560","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dc4ce87cbd31fe5cd4a10461827dca431439ffbd687980e1323bd748a5d9a9b1","sha256:638837c2805543f61fa5db7c1b4c2f4e0315ab15cf563587a5c32983fece2ef5"],"state_sha256":"9b500130a26b1aaf9a391d4298985ba2ee15062483d483882e65316c1234ca7c"}