{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:DJOD6QDJGPWY6OWJ77OCVQHKDY","short_pith_number":"pith:DJOD6QDJ","canonical_record":{"source":{"id":"1706.00384","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-06-01T16:57:15Z","cross_cats_sorted":[],"title_canon_sha256":"265ae23aae9016eb366123fd85f03cf14640fa86ca84062ecf144f8201aff87e","abstract_canon_sha256":"91dfb9a8b33b51f60349ebac8b1fd5c6f3bcc1d776a500edac19824bc3b62a0c"},"schema_version":"1.0"},"canonical_sha256":"1a5c3f406933ed8f3ac9ffdc2ac0ea1e12b3204487d31b65c98b62262808a70d","source":{"kind":"arxiv","id":"1706.00384","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.00384","created_at":"2026-05-18T00:43:14Z"},{"alias_kind":"arxiv_version","alias_value":"1706.00384v1","created_at":"2026-05-18T00:43:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.00384","created_at":"2026-05-18T00:43:14Z"},{"alias_kind":"pith_short_12","alias_value":"DJOD6QDJGPWY","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_16","alias_value":"DJOD6QDJGPWY6OWJ","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_8","alias_value":"DJOD6QDJ","created_at":"2026-05-18T12:31:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:DJOD6QDJGPWY6OWJ77OCVQHKDY","target":"record","payload":{"canonical_record":{"source":{"id":"1706.00384","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-06-01T16:57:15Z","cross_cats_sorted":[],"title_canon_sha256":"265ae23aae9016eb366123fd85f03cf14640fa86ca84062ecf144f8201aff87e","abstract_canon_sha256":"91dfb9a8b33b51f60349ebac8b1fd5c6f3bcc1d776a500edac19824bc3b62a0c"},"schema_version":"1.0"},"canonical_sha256":"1a5c3f406933ed8f3ac9ffdc2ac0ea1e12b3204487d31b65c98b62262808a70d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:43:14.180365Z","signature_b64":"/ybP9V3j/MLdkJu4Ih0ZOyopZLLGhAlyfe+kr8icSe45Ralk4Cs+7wO6FqbwkVUA09cuYPltP/KXYcvnNX3PCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1a5c3f406933ed8f3ac9ffdc2ac0ea1e12b3204487d31b65c98b62262808a70d","last_reissued_at":"2026-05-18T00:43:14.179847Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:43:14.179847Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1706.00384","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:43:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"s3xZHSiEckE62frEdvr6Bqx5AohD8iLRtPzCZ1rwrQzZI19KUqQKvihlQhdzWqDWmGkThAXsjx1EPjns+iupDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T21:37:46.866215Z"},"content_sha256":"1b1154d3b88b30267a8d6d3433e04ac946b1f5299db9d5142d175bec631447ce","schema_version":"1.0","event_id":"sha256:1b1154d3b88b30267a8d6d3433e04ac946b1f5299db9d5142d175bec631447ce"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:DJOD6QDJGPWY6OWJ77OCVQHKDY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Mutual Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Huchuan Lu, Tao Xiang, Timothy M. Hospedales, Ying Zhang","submitted_at":"2017-06-01T16:57:15Z","abstract_excerpt":"Model distillation is an effective and widely used technique to transfer knowledge from a teacher to a student network. The typical application is to transfer from a powerful large network or ensemble to a small network, that is better suited to low-memory or fast execution requirements. In this paper, we present a deep mutual learning (DML) strategy where, rather than one way transfer between a static pre-defined teacher and a student, an ensemble of students learn collaboratively and teach each other throughout the training process. Our experiments show that a variety of network architecture"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.00384","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":""},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:43:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WFKe4WNmAo2+RGYnRPk13I91cx4ix/aqvF9ZBEchkhhbNrt6cYD41JAkmtFgkyBqEhi31J/8naLKI1Fw27RpAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T21:37:46.866895Z"},"content_sha256":"0ab91ba6fa054dffe5ec0bc243966e0141204db87cf77877c38670e57ebb3876","schema_version":"1.0","event_id":"sha256:0ab91ba6fa054dffe5ec0bc243966e0141204db87cf77877c38670e57ebb3876"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DJOD6QDJGPWY6OWJ77OCVQHKDY/bundle.json","state_url":"https://pith.science/pith/DJOD6QDJGPWY6OWJ77OCVQHKDY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DJOD6QDJGPWY6OWJ77OCVQHKDY/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-06T21:37:46Z","links":{"resolver":"https://pith.science/pith/DJOD6QDJGPWY6OWJ77OCVQHKDY","bundle":"https://pith.science/pith/DJOD6QDJGPWY6OWJ77OCVQHKDY/bundle.json","state":"https://pith.science/pith/DJOD6QDJGPWY6OWJ77OCVQHKDY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DJOD6QDJGPWY6OWJ77OCVQHKDY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:DJOD6QDJGPWY6OWJ77OCVQHKDY","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":"91dfb9a8b33b51f60349ebac8b1fd5c6f3bcc1d776a500edac19824bc3b62a0c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-06-01T16:57:15Z","title_canon_sha256":"265ae23aae9016eb366123fd85f03cf14640fa86ca84062ecf144f8201aff87e"},"schema_version":"1.0","source":{"id":"1706.00384","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.00384","created_at":"2026-05-18T00:43:14Z"},{"alias_kind":"arxiv_version","alias_value":"1706.00384v1","created_at":"2026-05-18T00:43:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.00384","created_at":"2026-05-18T00:43:14Z"},{"alias_kind":"pith_short_12","alias_value":"DJOD6QDJGPWY","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_16","alias_value":"DJOD6QDJGPWY6OWJ","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_8","alias_value":"DJOD6QDJ","created_at":"2026-05-18T12:31:10Z"}],"graph_snapshots":[{"event_id":"sha256:0ab91ba6fa054dffe5ec0bc243966e0141204db87cf77877c38670e57ebb3876","target":"graph","created_at":"2026-05-18T00:43:14Z","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"},"paper":{"abstract_excerpt":"Model distillation is an effective and widely used technique to transfer knowledge from a teacher to a student network. The typical application is to transfer from a powerful large network or ensemble to a small network, that is better suited to low-memory or fast execution requirements. In this paper, we present a deep mutual learning (DML) strategy where, rather than one way transfer between a static pre-defined teacher and a student, an ensemble of students learn collaboratively and teach each other throughout the training process. Our experiments show that a variety of network architecture","authors_text":"Huchuan Lu, Tao Xiang, Timothy M. Hospedales, Ying Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-06-01T16:57:15Z","title":"Deep Mutual Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.00384","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":"sha256:1b1154d3b88b30267a8d6d3433e04ac946b1f5299db9d5142d175bec631447ce","target":"record","created_at":"2026-05-18T00:43:14Z","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":"91dfb9a8b33b51f60349ebac8b1fd5c6f3bcc1d776a500edac19824bc3b62a0c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-06-01T16:57:15Z","title_canon_sha256":"265ae23aae9016eb366123fd85f03cf14640fa86ca84062ecf144f8201aff87e"},"schema_version":"1.0","source":{"id":"1706.00384","kind":"arxiv","version":1}},"canonical_sha256":"1a5c3f406933ed8f3ac9ffdc2ac0ea1e12b3204487d31b65c98b62262808a70d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1a5c3f406933ed8f3ac9ffdc2ac0ea1e12b3204487d31b65c98b62262808a70d","first_computed_at":"2026-05-18T00:43:14.179847Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:43:14.179847Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/ybP9V3j/MLdkJu4Ih0ZOyopZLLGhAlyfe+kr8icSe45Ralk4Cs+7wO6FqbwkVUA09cuYPltP/KXYcvnNX3PCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:43:14.180365Z","signed_message":"canonical_sha256_bytes"},"source_id":"1706.00384","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1b1154d3b88b30267a8d6d3433e04ac946b1f5299db9d5142d175bec631447ce","sha256:0ab91ba6fa054dffe5ec0bc243966e0141204db87cf77877c38670e57ebb3876"],"state_sha256":"ed5221b619e07c19492430f2a1df68f0aea3d4e98108687584b3dcecdfd559db"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8kflDXkfH+dSXOwA07fH9qy7cadI3S7PLauS9vwbgW4F3eOZ390HR6vnOrTLhkyJecDQ0WwNhVVQAWBhk9O7BA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-06T21:37:46.869918Z","bundle_sha256":"cc6b3f0b9e605e202872127a1e9b238145b10f978b293aa2628c564e64195a12"}}