{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:TCI36IDYNYBKS3PJGKOBAOAL43","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":"fb06d7a4a85276ba33dd8ee64c087bbd992f36070961ad09d16909e2c5fe3ca6","cross_cats_sorted":["cs.AI","cs.CL","cs.CV"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.LG","submitted_at":"2022-05-28T16:11:49Z","title_canon_sha256":"4a0494e7d83d8520a8812ac2916b6f931fc3e56177c902c4f10b18e618e734ba"},"schema_version":"1.0","source":{"id":"2205.15308","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.15308","created_at":"2026-07-05T04:27:31Z"},{"alias_kind":"arxiv_version","alias_value":"2205.15308v1","created_at":"2026-07-05T04:27:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.15308","created_at":"2026-07-05T04:27:31Z"},{"alias_kind":"pith_short_12","alias_value":"TCI36IDYNYBK","created_at":"2026-07-05T04:27:31Z"},{"alias_kind":"pith_short_16","alias_value":"TCI36IDYNYBKS3PJ","created_at":"2026-07-05T04:27:31Z"},{"alias_kind":"pith_short_8","alias_value":"TCI36IDY","created_at":"2026-07-05T04:27:31Z"}],"graph_snapshots":[{"event_id":"sha256:4545687873484e0d81b02c70a86ec5cbe6b604b66efa705fd68f5daf05d76cec","target":"graph","created_at":"2026-07-05T04:27:31Z","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/2205.15308/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Knowledge distillation (KD) has been extensively employed to transfer the knowledge from a large teacher model to the smaller students, where the parameters of the teacher are fixed (or partially) during training. Recent studies show that this mode may cause difficulties in knowledge transfer due to the mismatched model capacities. To alleviate the mismatch problem, teacher-student joint training methods, e.g., online distillation, have been proposed, but it always requires expensive computational cost. In this paper, we present a parameter-efficient and student-friendly knowledge distillation","authors_text":"Dacheng Tao, Jun Rao, Liang Ding, Shuhan Qi, Xv Meng","cross_cats":["cs.AI","cs.CL","cs.CV"],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.LG","submitted_at":"2022-05-28T16:11:49Z","title":"Parameter-Efficient and Student-Friendly Knowledge Distillation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.15308","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":"sha256:8ccb7fea848c73105a0f76e3bef0deea1f4fe42f82ed3a5e288f12f741f98771","target":"record","created_at":"2026-07-05T04:27:31Z","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":"fb06d7a4a85276ba33dd8ee64c087bbd992f36070961ad09d16909e2c5fe3ca6","cross_cats_sorted":["cs.AI","cs.CL","cs.CV"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.LG","submitted_at":"2022-05-28T16:11:49Z","title_canon_sha256":"4a0494e7d83d8520a8812ac2916b6f931fc3e56177c902c4f10b18e618e734ba"},"schema_version":"1.0","source":{"id":"2205.15308","kind":"arxiv","version":1}},"canonical_sha256":"9891bf20786e02a96de9329c10380be6f479b1a6a7c40461ab713a3503561220","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9891bf20786e02a96de9329c10380be6f479b1a6a7c40461ab713a3503561220","first_computed_at":"2026-07-05T04:27:31.830722Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:27:31.830722Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"M/DxTnBzRA6awQ4Bj4MDZX1+NyWn/zW0+TRKSslT7MdJXBoi18hQSf/Kr6FzUvPy58QLnrsJIcqOQhq5oYX4CA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:27:31.831215Z","signed_message":"canonical_sha256_bytes"},"source_id":"2205.15308","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8ccb7fea848c73105a0f76e3bef0deea1f4fe42f82ed3a5e288f12f741f98771","sha256:4545687873484e0d81b02c70a86ec5cbe6b604b66efa705fd68f5daf05d76cec"],"state_sha256":"1c7bd2638f1e6efe38c0bd462ceb9534e93b0ef064ec9dbca67f57549915a198"}