{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:37ZAEYMCTRLNG2JJWH4U3GJOKF","short_pith_number":"pith:37ZAEYMC","schema_version":"1.0","canonical_sha256":"dff20261829c56d36929b1f94d992e515f1c182950ee4044f91d0e434a8d50f4","source":{"kind":"arxiv","id":"2001.11612","version":1},"attestation_state":"computed","paper":{"title":"Search for Better Students to Learn Distilled Knowledge","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Jindong Gu, Volker Tresp","submitted_at":"2020-01-30T23:55:15Z","abstract_excerpt":"Knowledge Distillation, as a model compression technique, has received great attention. The knowledge of a well-performed teacher is distilled to a student with a small architecture. The architecture of the small student is often chosen to be similar to their teacher's, with fewer layers or fewer channels, or both. However, even with the same number of FLOPs or parameters, the students with different architecture can achieve different generalization ability. The configuration of a student architecture requires intensive network architecture engineering. In this work, instead of designing a goo"},"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":"2001.11612","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-01-30T23:55:15Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"59069b17db5a03d969b8043aa2e46a7803a3c44085f1b2202c6b254141f2642c","abstract_canon_sha256":"6803285d7ac9414ffc68c29fecda1c423b6a4a76ff2e0685b14b88835f1c60e2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:37:32.357842Z","signature_b64":"2SlkFr0vXakW+xwlXKpQP6AoAMH6van9WwQfWrRYqkA6woOAjXVr3QxVYOTctIRucXmlCY2K98WdUHVOxLDsAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dff20261829c56d36929b1f94d992e515f1c182950ee4044f91d0e434a8d50f4","last_reissued_at":"2026-07-05T00:37:32.357492Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:37:32.357492Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Search for Better Students to Learn Distilled Knowledge","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Jindong Gu, Volker Tresp","submitted_at":"2020-01-30T23:55:15Z","abstract_excerpt":"Knowledge Distillation, as a model compression technique, has received great attention. The knowledge of a well-performed teacher is distilled to a student with a small architecture. The architecture of the small student is often chosen to be similar to their teacher's, with fewer layers or fewer channels, or both. However, even with the same number of FLOPs or parameters, the students with different architecture can achieve different generalization ability. The configuration of a student architecture requires intensive network architecture engineering. In this work, instead of designing a goo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2001.11612","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/2001.11612/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":"2001.11612","created_at":"2026-07-05T00:37:32.357556+00:00"},{"alias_kind":"arxiv_version","alias_value":"2001.11612v1","created_at":"2026-07-05T00:37:32.357556+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2001.11612","created_at":"2026-07-05T00:37:32.357556+00:00"},{"alias_kind":"pith_short_12","alias_value":"37ZAEYMCTRLN","created_at":"2026-07-05T00:37:32.357556+00:00"},{"alias_kind":"pith_short_16","alias_value":"37ZAEYMCTRLNG2JJ","created_at":"2026-07-05T00:37:32.357556+00:00"},{"alias_kind":"pith_short_8","alias_value":"37ZAEYMC","created_at":"2026-07-05T00:37:32.357556+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/37ZAEYMCTRLNG2JJWH4U3GJOKF","json":"https://pith.science/pith/37ZAEYMCTRLNG2JJWH4U3GJOKF.json","graph_json":"https://pith.science/api/pith-number/37ZAEYMCTRLNG2JJWH4U3GJOKF/graph.json","events_json":"https://pith.science/api/pith-number/37ZAEYMCTRLNG2JJWH4U3GJOKF/events.json","paper":"https://pith.science/paper/37ZAEYMC"},"agent_actions":{"view_html":"https://pith.science/pith/37ZAEYMCTRLNG2JJWH4U3GJOKF","download_json":"https://pith.science/pith/37ZAEYMCTRLNG2JJWH4U3GJOKF.json","view_paper":"https://pith.science/paper/37ZAEYMC","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2001.11612&json=true","fetch_graph":"https://pith.science/api/pith-number/37ZAEYMCTRLNG2JJWH4U3GJOKF/graph.json","fetch_events":"https://pith.science/api/pith-number/37ZAEYMCTRLNG2JJWH4U3GJOKF/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/37ZAEYMCTRLNG2JJWH4U3GJOKF/action/timestamp_anchor","attest_storage":"https://pith.science/pith/37ZAEYMCTRLNG2JJWH4U3GJOKF/action/storage_attestation","attest_author":"https://pith.science/pith/37ZAEYMCTRLNG2JJWH4U3GJOKF/action/author_attestation","sign_citation":"https://pith.science/pith/37ZAEYMCTRLNG2JJWH4U3GJOKF/action/citation_signature","submit_replication":"https://pith.science/pith/37ZAEYMCTRLNG2JJWH4U3GJOKF/action/replication_record"}},"created_at":"2026-07-05T00:37:32.357556+00:00","updated_at":"2026-07-05T00:37:32.357556+00:00"}