{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:4QGU3XP7447I3JNTFTWRKMBSQC","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":"dd165f7a9c585f29a75252f5bb00187a0c4482d437c85367fe4d9aec236066a2","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-04-03T02:41:16Z","title_canon_sha256":"0b487d4a9f90d2ea49682f9e3e38bfcbb4e4e8fc2f2dbd1b66fffb515e7129ff"},"schema_version":"1.0","source":{"id":"2404.03693","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.03693","created_at":"2026-07-05T08:04:40Z"},{"alias_kind":"arxiv_version","alias_value":"2404.03693v1","created_at":"2026-07-05T08:04:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.03693","created_at":"2026-07-05T08:04:40Z"},{"alias_kind":"pith_short_12","alias_value":"4QGU3XP7447I","created_at":"2026-07-05T08:04:40Z"},{"alias_kind":"pith_short_16","alias_value":"4QGU3XP7447I3JNT","created_at":"2026-07-05T08:04:40Z"},{"alias_kind":"pith_short_8","alias_value":"4QGU3XP7","created_at":"2026-07-05T08:04:40Z"}],"graph_snapshots":[{"event_id":"sha256:d891c7088ef6780d46b18093513d088ef2be1a70ac62cd7da698183060f3fc81","target":"graph","created_at":"2026-07-05T08:04:40Z","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/2404.03693/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Knowledge distillation (KD) has become a widely used technique in the field of model compression, which aims to transfer knowledge from a large teacher model to a lightweight student model for efficient network development. In addition to the supervision of ground truth, the vanilla KD method regards the predictions of the teacher as soft labels to supervise the training of the student model. Based on vanilla KD, various approaches have been developed to further improve the performance of the student model. However, few of these previous methods have considered the reliability of the supervisi","authors_text":"Buhua Liu, Mengke Li, Qing Xu, Weichao Lan, Yiu-ming Cheung, Zhenghua Chen, Zhikai Hu","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-04-03T02:41:16Z","title":"Improve Knowledge Distillation via Label Revision and Data Selection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.03693","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":"sha256:4c535f019db941d045e8ebd019cecca84c47d5bf1504812854bce354433a16da","target":"record","created_at":"2026-07-05T08:04:40Z","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":"dd165f7a9c585f29a75252f5bb00187a0c4482d437c85367fe4d9aec236066a2","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-04-03T02:41:16Z","title_canon_sha256":"0b487d4a9f90d2ea49682f9e3e38bfcbb4e4e8fc2f2dbd1b66fffb515e7129ff"},"schema_version":"1.0","source":{"id":"2404.03693","kind":"arxiv","version":1}},"canonical_sha256":"e40d4dddffe73e8da5b32ced15303280bbdeb4183b0fd991ba2cedf555620dd9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e40d4dddffe73e8da5b32ced15303280bbdeb4183b0fd991ba2cedf555620dd9","first_computed_at":"2026-07-05T08:04:40.099355Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:04:40.099355Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"H1kkKfKXQDBBkfbXiwntaE+TxYKUMlIjLXQZYhQsUnLc3N2Db58qyJzmnXpgwekLJRgYbyMWp6wXffwTJORoCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:04:40.099833Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.03693","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4c535f019db941d045e8ebd019cecca84c47d5bf1504812854bce354433a16da","sha256:d891c7088ef6780d46b18093513d088ef2be1a70ac62cd7da698183060f3fc81"],"state_sha256":"84ba2589d030506e0fd2ed72a0bfb46a3c04931234cd2b6aac11265755140aaa"}