{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:J7J4NACSBH4NO3PBJMIIDEFCFN","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":"7ea61894a27669a42cf184b152d6050dd377a44b87dee912bc412a52dcde5822","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-18T19:39:42Z","title_canon_sha256":"0959098b84231927104c7c0486e6047b4553be3e840bfddcb5c96e9667cc40b6"},"schema_version":"1.0","source":{"id":"2007.09507","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.09507","created_at":"2026-07-05T01:20:25Z"},{"alias_kind":"arxiv_version","alias_value":"2007.09507v1","created_at":"2026-07-05T01:20:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.09507","created_at":"2026-07-05T01:20:25Z"},{"alias_kind":"pith_short_12","alias_value":"J7J4NACSBH4N","created_at":"2026-07-05T01:20:25Z"},{"alias_kind":"pith_short_16","alias_value":"J7J4NACSBH4NO3PB","created_at":"2026-07-05T01:20:25Z"},{"alias_kind":"pith_short_8","alias_value":"J7J4NACS","created_at":"2026-07-05T01:20:25Z"}],"graph_snapshots":[{"event_id":"sha256:283c677e6c16a0555d953d0f992e17212eaa68d026b7c309a99af1e02afe1fe4","target":"graph","created_at":"2026-07-05T01:20:25Z","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/2007.09507/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Learning representations that clearly distinguish between normal and abnormal data is key to the success of anomaly detection. Most of existing anomaly detection algorithms use activation representations from forward propagation while not exploiting gradients from backpropagation to characterize data. Gradients capture model updates required to represent data. Anomalies require more drastic model updates to fully represent them compared to normal data. Hence, we propose the utilization of backpropagated gradients as representations to characterize model behavior on anomalies and, consequently,","authors_text":"Dogancan Temel, Ghassan AlRegib, Gukyeong Kwon, Mohit Prabhushankar","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-18T19:39:42Z","title":"Backpropagated Gradient Representations for Anomaly Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.09507","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":"sha256:22c0817531091e74ed588c59bcd2e8a95433ec441b9d7f912caecb2bfee66045","target":"record","created_at":"2026-07-05T01:20:25Z","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":"7ea61894a27669a42cf184b152d6050dd377a44b87dee912bc412a52dcde5822","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-18T19:39:42Z","title_canon_sha256":"0959098b84231927104c7c0486e6047b4553be3e840bfddcb5c96e9667cc40b6"},"schema_version":"1.0","source":{"id":"2007.09507","kind":"arxiv","version":1}},"canonical_sha256":"4fd3c6805209f8d76de14b108190a22b7a57798047cf454d6ad35f94d826ad4b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4fd3c6805209f8d76de14b108190a22b7a57798047cf454d6ad35f94d826ad4b","first_computed_at":"2026-07-05T01:20:25.633236Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:20:25.633236Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jBwomgGJk4a9AgflNeiE2xKZrsYdUiPyHQFPlMRRUNeCKlValzpXFDoC1yGdlnOfzx7lEUlDvyg9/TQmE2aMAg==","signature_status":"signed_v1","signed_at":"2026-07-05T01:20:25.633732Z","signed_message":"canonical_sha256_bytes"},"source_id":"2007.09507","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:22c0817531091e74ed588c59bcd2e8a95433ec441b9d7f912caecb2bfee66045","sha256:283c677e6c16a0555d953d0f992e17212eaa68d026b7c309a99af1e02afe1fe4"],"state_sha256":"90e555d98138c86bb6c4137256a77245fc84523d522a6974403e18e3d618126c"}