{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:BNC54CFFPJHQN5FWXY6S5O3AGM","short_pith_number":"pith:BNC54CFF","schema_version":"1.0","canonical_sha256":"0b45de08a57a4f06f4b6be3d2ebb6033377c2d2baa5be39f9e95de912fd8d2b3","source":{"kind":"arxiv","id":"2109.06458","version":3},"attestation_state":"computed","paper":{"title":"A Note on Knowledge Distillation Loss Function for Object Classification","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Defang Chen","submitted_at":"2021-09-14T05:54:29Z","abstract_excerpt":"This research note provides a quick introduction to the knowledge distillation loss function used in object classification. In particular, we discuss its connection to a previously proposed logits matching loss function. We further treat knowledge distillation as a specific form of output regularization and demonstrate its connection to label smoothing and entropy-based regularization."},"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":"2109.06458","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-09-14T05:54:29Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"826cd8855ba83184dbbe01245642e11933f241c47323c9f746263b90b7dd751b","abstract_canon_sha256":"35aaa714b441abe15d537109579a4858c3ad80d6a16611c21499ccb69c3a42bf"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:59:21.760727Z","signature_b64":"YKzSaGaOrW8X/in+LHxkev/lv/LkJiVvVDuvDeZzkzJz6Kn+Tej6pfgSSji6Xy2cxprlbNWVFBvix7S6RnFcBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0b45de08a57a4f06f4b6be3d2ebb6033377c2d2baa5be39f9e95de912fd8d2b3","last_reissued_at":"2026-07-05T08:59:21.760272Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:59:21.760272Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Note on Knowledge Distillation Loss Function for Object Classification","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Defang Chen","submitted_at":"2021-09-14T05:54:29Z","abstract_excerpt":"This research note provides a quick introduction to the knowledge distillation loss function used in object classification. In particular, we discuss its connection to a previously proposed logits matching loss function. We further treat knowledge distillation as a specific form of output regularization and demonstrate its connection to label smoothing and entropy-based regularization."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2109.06458","kind":"arxiv","version":3},"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/2109.06458/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":"2109.06458","created_at":"2026-07-05T08:59:21.760342+00:00"},{"alias_kind":"arxiv_version","alias_value":"2109.06458v3","created_at":"2026-07-05T08:59:21.760342+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2109.06458","created_at":"2026-07-05T08:59:21.760342+00:00"},{"alias_kind":"pith_short_12","alias_value":"BNC54CFFPJHQ","created_at":"2026-07-05T08:59:21.760342+00:00"},{"alias_kind":"pith_short_16","alias_value":"BNC54CFFPJHQN5FW","created_at":"2026-07-05T08:59:21.760342+00:00"},{"alias_kind":"pith_short_8","alias_value":"BNC54CFF","created_at":"2026-07-05T08:59:21.760342+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/BNC54CFFPJHQN5FWXY6S5O3AGM","json":"https://pith.science/pith/BNC54CFFPJHQN5FWXY6S5O3AGM.json","graph_json":"https://pith.science/api/pith-number/BNC54CFFPJHQN5FWXY6S5O3AGM/graph.json","events_json":"https://pith.science/api/pith-number/BNC54CFFPJHQN5FWXY6S5O3AGM/events.json","paper":"https://pith.science/paper/BNC54CFF"},"agent_actions":{"view_html":"https://pith.science/pith/BNC54CFFPJHQN5FWXY6S5O3AGM","download_json":"https://pith.science/pith/BNC54CFFPJHQN5FWXY6S5O3AGM.json","view_paper":"https://pith.science/paper/BNC54CFF","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2109.06458&json=true","fetch_graph":"https://pith.science/api/pith-number/BNC54CFFPJHQN5FWXY6S5O3AGM/graph.json","fetch_events":"https://pith.science/api/pith-number/BNC54CFFPJHQN5FWXY6S5O3AGM/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/BNC54CFFPJHQN5FWXY6S5O3AGM/action/timestamp_anchor","attest_storage":"https://pith.science/pith/BNC54CFFPJHQN5FWXY6S5O3AGM/action/storage_attestation","attest_author":"https://pith.science/pith/BNC54CFFPJHQN5FWXY6S5O3AGM/action/author_attestation","sign_citation":"https://pith.science/pith/BNC54CFFPJHQN5FWXY6S5O3AGM/action/citation_signature","submit_replication":"https://pith.science/pith/BNC54CFFPJHQN5FWXY6S5O3AGM/action/replication_record"}},"created_at":"2026-07-05T08:59:21.760342+00:00","updated_at":"2026-07-05T08:59:21.760342+00:00"}