{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:73JZU3F5YNU3HDCWOPRXV3SD6U","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":"fbd32e4ed18270dcb8344bb60aba75c25fe26ef20bbf3e921ed8acf1f3a5fb55","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-11-20T18:19:25Z","title_canon_sha256":"7bb7f97e94ccdb479dddc17b08a1ac2615936daba8e79e6e84c70c8170ab9adb"},"schema_version":"1.0","source":{"id":"1911.09074","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1911.09074","created_at":"2026-07-05T00:48:21Z"},{"alias_kind":"arxiv_version","alias_value":"1911.09074v2","created_at":"2026-07-05T00:48:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1911.09074","created_at":"2026-07-05T00:48:21Z"},{"alias_kind":"pith_short_12","alias_value":"73JZU3F5YNU3","created_at":"2026-07-05T00:48:21Z"},{"alias_kind":"pith_short_16","alias_value":"73JZU3F5YNU3HDCW","created_at":"2026-07-05T00:48:21Z"},{"alias_kind":"pith_short_8","alias_value":"73JZU3F5","created_at":"2026-07-05T00:48:21Z"}],"graph_snapshots":[{"event_id":"sha256:8013dbc64d423c0757339d728d4ed3c8ab10a49f882a0d7c22c647816156b453","target":"graph","created_at":"2026-07-05T00:48:21Z","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/1911.09074/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Standard Knowledge Distillation (KD) approaches distill the knowledge of a cumbersome teacher model into the parameters of a student model with a pre-defined architecture. However, the knowledge of a neural network, which is represented by the network's output distribution conditioned on its input, depends not only on its parameters but also on its architecture. Hence, a more generalized approach for KD is to distill the teacher's knowledge into both the parameters and architecture of the student. To achieve this, we present a new Architecture-aware Knowledge Distillation (AKD) approach that f","authors_text":"Bradley Green, Mingxing Tan, Raviteja Vemulapalli, Xiaogang Wang, Xuhui Jia, Yukun Zhu, Yu Liu","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-11-20T18:19:25Z","title":"Search to Distill: Pearls are Everywhere but not the Eyes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1911.09074","kind":"arxiv","version":2},"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:e630d90f38b1366f0c0e2e04bab5fd771e483961e820f81ec01a686ece14d227","target":"record","created_at":"2026-07-05T00:48:21Z","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":"fbd32e4ed18270dcb8344bb60aba75c25fe26ef20bbf3e921ed8acf1f3a5fb55","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-11-20T18:19:25Z","title_canon_sha256":"7bb7f97e94ccdb479dddc17b08a1ac2615936daba8e79e6e84c70c8170ab9adb"},"schema_version":"1.0","source":{"id":"1911.09074","kind":"arxiv","version":2}},"canonical_sha256":"fed39a6cbdc369b38c5673e37aee43f50f0dfd47b000ca5b68bc64b78ee53791","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fed39a6cbdc369b38c5673e37aee43f50f0dfd47b000ca5b68bc64b78ee53791","first_computed_at":"2026-07-05T00:48:21.134750Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:48:21.134750Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gB9fARAjeJ7w2CSJUykJVaahuPrmMQb48qeO5sb5FcJR8QpU7lRVcQ4gRC5SHSnmVWO4tVrlt5YS9ybsMcZBCg==","signature_status":"signed_v1","signed_at":"2026-07-05T00:48:21.135150Z","signed_message":"canonical_sha256_bytes"},"source_id":"1911.09074","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e630d90f38b1366f0c0e2e04bab5fd771e483961e820f81ec01a686ece14d227","sha256:8013dbc64d423c0757339d728d4ed3c8ab10a49f882a0d7c22c647816156b453"],"state_sha256":"ed02dc37a3c5f265fcc5d2b4234ebafab4e4b36f41cc0d6c185dbaa8cfd12f48"}