{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:GFGQVRAPSBF5SYWXL56TQHXZQU","short_pith_number":"pith:GFGQVRAP","canonical_record":{"source":{"id":"1911.10676","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-11-25T03:06:43Z","cross_cats_sorted":[],"title_canon_sha256":"c18b6423adef7984adfd416471a8d29866119da8af09f2e54dd9985157c20db2","abstract_canon_sha256":"b844210d8cdc74b11a09610085986ad85422b459ae9948e3650729a81ffd00cd"},"schema_version":"1.0"},"canonical_sha256":"314d0ac40f904bd962d75f7d381ef9853d263d2003dd8c93da5a762485f5e584","source":{"kind":"arxiv","id":"1911.10676","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1911.10676","created_at":"2026-07-05T01:58:54Z"},{"alias_kind":"arxiv_version","alias_value":"1911.10676v3","created_at":"2026-07-05T01:58:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1911.10676","created_at":"2026-07-05T01:58:54Z"},{"alias_kind":"pith_short_12","alias_value":"GFGQVRAPSBF5","created_at":"2026-07-05T01:58:54Z"},{"alias_kind":"pith_short_16","alias_value":"GFGQVRAPSBF5SYWX","created_at":"2026-07-05T01:58:54Z"},{"alias_kind":"pith_short_8","alias_value":"GFGQVRAP","created_at":"2026-07-05T01:58:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:GFGQVRAPSBF5SYWXL56TQHXZQU","target":"record","payload":{"canonical_record":{"source":{"id":"1911.10676","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-11-25T03:06:43Z","cross_cats_sorted":[],"title_canon_sha256":"c18b6423adef7984adfd416471a8d29866119da8af09f2e54dd9985157c20db2","abstract_canon_sha256":"b844210d8cdc74b11a09610085986ad85422b459ae9948e3650729a81ffd00cd"},"schema_version":"1.0"},"canonical_sha256":"314d0ac40f904bd962d75f7d381ef9853d263d2003dd8c93da5a762485f5e584","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:58:54.224039Z","signature_b64":"qJTfjIMC3gtrotFVhqgJX5dfipTQOvpxCO88slpGW8QfqyNegk80RFtxTyQTpqXHQPR0Zdr5n/fCfH+KnqviDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"314d0ac40f904bd962d75f7d381ef9853d263d2003dd8c93da5a762485f5e584","last_reissued_at":"2026-07-05T01:58:54.223562Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:58:54.223562Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1911.10676","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:58:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gbrZF1atT4MEjfvwrIf3OpW1yzQ2D390N2WNT+mgjTCmY/LlhIRNjpAfJpbxF6+NRwGVyKjAhfXZh+ZFwTAGDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T15:52:10.464990Z"},"content_sha256":"2e253cd835b5b8c2538e454444507abcc6c40b1623821903f0193f5260ac09b0","schema_version":"1.0","event_id":"sha256:2e253cd835b5b8c2538e454444507abcc6c40b1623821903f0193f5260ac09b0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:GFGQVRAPSBF5SYWXL56TQHXZQU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Attribute Restoration Framework for Anomaly Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Cewu Lu, Chaoqin Huang, Fei Ye, Jinkun Cao, Maosen Li, Ya Zhang","submitted_at":"2019-11-25T03:06:43Z","abstract_excerpt":"With the recent advances in deep neural networks, anomaly detection in multimedia has received much attention in the computer vision community. While reconstruction-based methods have recently shown great promise for anomaly detection, the information equivalence among input and supervision for reconstruction tasks can not effectively force the network to learn semantic feature embeddings. We here propose to break this equivalence by erasing selected attributes from the original data and reformulate it as a restoration task, where the normal and the anomalous data are expected to be distinguis"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1911.10676","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/1911.10676/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":"2026-07-05T01:58:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FdYnAEQ0LLzNw0QH1sZg42pgC+BUTG0cbeqSob6e97yR1Ug6IL1gr4vEP5aB36i4+dtMM4H/O8LZ3Prm24dzCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T15:52:10.465994Z"},"content_sha256":"57ce5937ebb190afc1f7665907131b601eb98debebf4c5e1a0773d986c6f022a","schema_version":"1.0","event_id":"sha256:57ce5937ebb190afc1f7665907131b601eb98debebf4c5e1a0773d986c6f022a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GFGQVRAPSBF5SYWXL56TQHXZQU/bundle.json","state_url":"https://pith.science/pith/GFGQVRAPSBF5SYWXL56TQHXZQU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GFGQVRAPSBF5SYWXL56TQHXZQU/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":"2026-08-08T15:52:10Z","links":{"resolver":"https://pith.science/pith/GFGQVRAPSBF5SYWXL56TQHXZQU","bundle":"https://pith.science/pith/GFGQVRAPSBF5SYWXL56TQHXZQU/bundle.json","state":"https://pith.science/pith/GFGQVRAPSBF5SYWXL56TQHXZQU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GFGQVRAPSBF5SYWXL56TQHXZQU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:GFGQVRAPSBF5SYWXL56TQHXZQU","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":"b844210d8cdc74b11a09610085986ad85422b459ae9948e3650729a81ffd00cd","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-11-25T03:06:43Z","title_canon_sha256":"c18b6423adef7984adfd416471a8d29866119da8af09f2e54dd9985157c20db2"},"schema_version":"1.0","source":{"id":"1911.10676","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1911.10676","created_at":"2026-07-05T01:58:54Z"},{"alias_kind":"arxiv_version","alias_value":"1911.10676v3","created_at":"2026-07-05T01:58:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1911.10676","created_at":"2026-07-05T01:58:54Z"},{"alias_kind":"pith_short_12","alias_value":"GFGQVRAPSBF5","created_at":"2026-07-05T01:58:54Z"},{"alias_kind":"pith_short_16","alias_value":"GFGQVRAPSBF5SYWX","created_at":"2026-07-05T01:58:54Z"},{"alias_kind":"pith_short_8","alias_value":"GFGQVRAP","created_at":"2026-07-05T01:58:54Z"}],"graph_snapshots":[{"event_id":"sha256:57ce5937ebb190afc1f7665907131b601eb98debebf4c5e1a0773d986c6f022a","target":"graph","created_at":"2026-07-05T01:58:54Z","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/1911.10676/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the recent advances in deep neural networks, anomaly detection in multimedia has received much attention in the computer vision community. While reconstruction-based methods have recently shown great promise for anomaly detection, the information equivalence among input and supervision for reconstruction tasks can not effectively force the network to learn semantic feature embeddings. We here propose to break this equivalence by erasing selected attributes from the original data and reformulate it as a restoration task, where the normal and the anomalous data are expected to be distinguis","authors_text":"Cewu Lu, Chaoqin Huang, Fei Ye, Jinkun Cao, Maosen Li, Ya Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-11-25T03:06:43Z","title":"Attribute Restoration Framework for Anomaly Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1911.10676","kind":"arxiv","version":3},"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":"sha256:2e253cd835b5b8c2538e454444507abcc6c40b1623821903f0193f5260ac09b0","target":"record","created_at":"2026-07-05T01:58:54Z","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":"b844210d8cdc74b11a09610085986ad85422b459ae9948e3650729a81ffd00cd","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-11-25T03:06:43Z","title_canon_sha256":"c18b6423adef7984adfd416471a8d29866119da8af09f2e54dd9985157c20db2"},"schema_version":"1.0","source":{"id":"1911.10676","kind":"arxiv","version":3}},"canonical_sha256":"314d0ac40f904bd962d75f7d381ef9853d263d2003dd8c93da5a762485f5e584","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"314d0ac40f904bd962d75f7d381ef9853d263d2003dd8c93da5a762485f5e584","first_computed_at":"2026-07-05T01:58:54.223562Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:58:54.223562Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qJTfjIMC3gtrotFVhqgJX5dfipTQOvpxCO88slpGW8QfqyNegk80RFtxTyQTpqXHQPR0Zdr5n/fCfH+KnqviDg==","signature_status":"signed_v1","signed_at":"2026-07-05T01:58:54.224039Z","signed_message":"canonical_sha256_bytes"},"source_id":"1911.10676","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2e253cd835b5b8c2538e454444507abcc6c40b1623821903f0193f5260ac09b0","sha256:57ce5937ebb190afc1f7665907131b601eb98debebf4c5e1a0773d986c6f022a"],"state_sha256":"c887413b222da3e49e4a8cd2b97b952b18021f8000d0e6f693334a196ab13857"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XDifdZva0WQBJVfHH3G4fEzK05x2d/sHEw16S+IdQMBfcWQdl/R6m6DRDIBMRBInuKQNilLYZqOq5B9b4UXlCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T15:52:10.478267Z","bundle_sha256":"ba81bebd86c159f9a18566e5f2fdd75feb7e5af4172a4cfbf9f7b36f70490e7b"}}