{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:VQFSBDGGE5NK2TVEODMZE6S3GW","short_pith_number":"pith:VQFSBDGG","canonical_record":{"source":{"id":"2108.05507","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-08-12T02:47:59Z","cross_cats_sorted":[],"title_canon_sha256":"5fe55e460baad7d5aeb44cf5f10deb804ced67ccdfd956654bf4f9a26124746d","abstract_canon_sha256":"696ff83c0231d68b7e6f55e4de5e7aeb1ca21c179da4946f4c908f7b58ad707d"},"schema_version":"1.0"},"canonical_sha256":"ac0b208cc6275aad4ea470d9927a5b35a1225407104e8cf6362345d947d1c2ae","source":{"kind":"arxiv","id":"2108.05507","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2108.05507","created_at":"2026-07-05T03:05:15Z"},{"alias_kind":"arxiv_version","alias_value":"2108.05507v1","created_at":"2026-07-05T03:05:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.05507","created_at":"2026-07-05T03:05:15Z"},{"alias_kind":"pith_short_12","alias_value":"VQFSBDGGE5NK","created_at":"2026-07-05T03:05:15Z"},{"alias_kind":"pith_short_16","alias_value":"VQFSBDGGE5NK2TVE","created_at":"2026-07-05T03:05:15Z"},{"alias_kind":"pith_short_8","alias_value":"VQFSBDGG","created_at":"2026-07-05T03:05:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:VQFSBDGGE5NK2TVEODMZE6S3GW","target":"record","payload":{"canonical_record":{"source":{"id":"2108.05507","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-08-12T02:47:59Z","cross_cats_sorted":[],"title_canon_sha256":"5fe55e460baad7d5aeb44cf5f10deb804ced67ccdfd956654bf4f9a26124746d","abstract_canon_sha256":"696ff83c0231d68b7e6f55e4de5e7aeb1ca21c179da4946f4c908f7b58ad707d"},"schema_version":"1.0"},"canonical_sha256":"ac0b208cc6275aad4ea470d9927a5b35a1225407104e8cf6362345d947d1c2ae","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:05:15.109168Z","signature_b64":"rOTP25Z6V3BiLdi1hK0KLhkc4Nl5aKJfU2wGzP6dnZQsgIFQLj6wmvvfVAuR7Kh6PjHVE9O3bPUi0buMGr4eBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ac0b208cc6275aad4ea470d9927a5b35a1225407104e8cf6362345d947d1c2ae","last_reissued_at":"2026-07-05T03:05:15.108804Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:05:15.108804Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2108.05507","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":"2026-07-05T03:05:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"77HFYxESYGjhmsG6xxgq0FBwFxPouUa2zNUdlVbBVa3i/F/q6kGfXS2Qe/uqOn5H2dwKIVPJJCYoqJ/LdL9/CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T09:42:24.079282Z"},"content_sha256":"aa9651b22378dc61475189adec91d78247054d53d786210e5d8e3a25afd8e3d1","schema_version":"1.0","event_id":"sha256:aa9651b22378dc61475189adec91d78247054d53d786210e5d8e3a25afd8e3d1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:VQFSBDGGE5NK2TVEODMZE6S3GW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Distilling Holistic Knowledge with Graph Neural Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Can Wang, Defang Chen, Jiajun Bu, Jiawei Chen, Sheng Zhou, Xin Wang, Yucheng Wang","submitted_at":"2021-08-12T02:47:59Z","abstract_excerpt":"Knowledge Distillation (KD) aims at transferring knowledge from a larger well-optimized teacher network to a smaller learnable student network.Existing KD methods have mainly considered two types of knowledge, namely the individual knowledge and the relational knowledge. However, these two types of knowledge are usually modeled independently while the inherent correlations between them are largely ignored. It is critical for sufficient student network learning to integrate both individual knowledge and relational knowledge while reserving their inherent correlation. In this paper, we propose t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.05507","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/2108.05507/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:05:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VDkQ+83jEe9rHXrifNK7D3ZLiIxrTlI0gG7Mo9qv2sSxFXBrcQmH94iPwrvSVEafiv9998e0J4SeUUGFOy14Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T09:42:24.080095Z"},"content_sha256":"52c087d441cae7304c5024feff5a0c4f955c8cecf6c1e2eb14047ec23932822e","schema_version":"1.0","event_id":"sha256:52c087d441cae7304c5024feff5a0c4f955c8cecf6c1e2eb14047ec23932822e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VQFSBDGGE5NK2TVEODMZE6S3GW/bundle.json","state_url":"https://pith.science/pith/VQFSBDGGE5NK2TVEODMZE6S3GW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VQFSBDGGE5NK2TVEODMZE6S3GW/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":"2026-08-01T09:42:24Z","links":{"resolver":"https://pith.science/pith/VQFSBDGGE5NK2TVEODMZE6S3GW","bundle":"https://pith.science/pith/VQFSBDGGE5NK2TVEODMZE6S3GW/bundle.json","state":"https://pith.science/pith/VQFSBDGGE5NK2TVEODMZE6S3GW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VQFSBDGGE5NK2TVEODMZE6S3GW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:VQFSBDGGE5NK2TVEODMZE6S3GW","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":"696ff83c0231d68b7e6f55e4de5e7aeb1ca21c179da4946f4c908f7b58ad707d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-08-12T02:47:59Z","title_canon_sha256":"5fe55e460baad7d5aeb44cf5f10deb804ced67ccdfd956654bf4f9a26124746d"},"schema_version":"1.0","source":{"id":"2108.05507","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2108.05507","created_at":"2026-07-05T03:05:15Z"},{"alias_kind":"arxiv_version","alias_value":"2108.05507v1","created_at":"2026-07-05T03:05:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.05507","created_at":"2026-07-05T03:05:15Z"},{"alias_kind":"pith_short_12","alias_value":"VQFSBDGGE5NK","created_at":"2026-07-05T03:05:15Z"},{"alias_kind":"pith_short_16","alias_value":"VQFSBDGGE5NK2TVE","created_at":"2026-07-05T03:05:15Z"},{"alias_kind":"pith_short_8","alias_value":"VQFSBDGG","created_at":"2026-07-05T03:05:15Z"}],"graph_snapshots":[{"event_id":"sha256:52c087d441cae7304c5024feff5a0c4f955c8cecf6c1e2eb14047ec23932822e","target":"graph","created_at":"2026-07-05T03:05:15Z","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/2108.05507/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Knowledge Distillation (KD) aims at transferring knowledge from a larger well-optimized teacher network to a smaller learnable student network.Existing KD methods have mainly considered two types of knowledge, namely the individual knowledge and the relational knowledge. However, these two types of knowledge are usually modeled independently while the inherent correlations between them are largely ignored. It is critical for sufficient student network learning to integrate both individual knowledge and relational knowledge while reserving their inherent correlation. In this paper, we propose t","authors_text":"Can Wang, Defang Chen, Jiajun Bu, Jiawei Chen, Sheng Zhou, Xin Wang, Yucheng Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-08-12T02:47:59Z","title":"Distilling Holistic Knowledge with Graph Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.05507","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:aa9651b22378dc61475189adec91d78247054d53d786210e5d8e3a25afd8e3d1","target":"record","created_at":"2026-07-05T03:05:15Z","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":"696ff83c0231d68b7e6f55e4de5e7aeb1ca21c179da4946f4c908f7b58ad707d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-08-12T02:47:59Z","title_canon_sha256":"5fe55e460baad7d5aeb44cf5f10deb804ced67ccdfd956654bf4f9a26124746d"},"schema_version":"1.0","source":{"id":"2108.05507","kind":"arxiv","version":1}},"canonical_sha256":"ac0b208cc6275aad4ea470d9927a5b35a1225407104e8cf6362345d947d1c2ae","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ac0b208cc6275aad4ea470d9927a5b35a1225407104e8cf6362345d947d1c2ae","first_computed_at":"2026-07-05T03:05:15.108804Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:05:15.108804Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rOTP25Z6V3BiLdi1hK0KLhkc4Nl5aKJfU2wGzP6dnZQsgIFQLj6wmvvfVAuR7Kh6PjHVE9O3bPUi0buMGr4eBg==","signature_status":"signed_v1","signed_at":"2026-07-05T03:05:15.109168Z","signed_message":"canonical_sha256_bytes"},"source_id":"2108.05507","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:aa9651b22378dc61475189adec91d78247054d53d786210e5d8e3a25afd8e3d1","sha256:52c087d441cae7304c5024feff5a0c4f955c8cecf6c1e2eb14047ec23932822e"],"state_sha256":"de74ca92a0720e260ea28632f1b68012da6317c376d200fc3967868b4639eed4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dfur4RL4DTmZaig9GKkXltdF719N8OEssd+WblKafz3oyUrsjBrrgtgdui14XCqPTOrtcBgu3L/7zZJVCoAJBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-01T09:42:24.087301Z","bundle_sha256":"4b62079b372687568f82ff89b9029495bc99bcc6b955ae2d6c07b1e3776afb16"}}