{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:OM57L7PCM5DZKPEYS4VN3PYGWN","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":"c9fb7eb2950694683cce2001e3b1ae194cab02f250c6f6d5eabca6b0928efc89","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-28T17:54:56Z","title_canon_sha256":"63e6625038f5e9f7fc55883df37f60d1c65a4d4f50c09c7bb36946c3bd6d21c3"},"schema_version":"1.0","source":{"id":"2303.16191","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.16191","created_at":"2026-07-05T09:46:41Z"},{"alias_kind":"arxiv_version","alias_value":"2303.16191v5","created_at":"2026-07-05T09:46:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.16191","created_at":"2026-07-05T09:46:41Z"},{"alias_kind":"pith_short_12","alias_value":"OM57L7PCM5DZ","created_at":"2026-07-05T09:46:41Z"},{"alias_kind":"pith_short_16","alias_value":"OM57L7PCM5DZKPEY","created_at":"2026-07-05T09:46:41Z"},{"alias_kind":"pith_short_8","alias_value":"OM57L7PC","created_at":"2026-07-05T09:46:41Z"}],"graph_snapshots":[{"event_id":"sha256:a8e3771863a43bc397352562b29d3bac7f2904e2a3dab3db647109c571087a5b","target":"graph","created_at":"2026-07-05T09:46:41Z","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/2303.16191/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Anomaly detectors are widely used in industrial manufacturing to detect and localize unknown defects in query images. These detectors are trained on anomaly-free samples and have successfully distinguished anomalies from most normal samples. However, hard-normal examples are scattered and far apart from most normal samples, and thus they are often mistaken for anomalies by existing methods. To address this issue, we propose Hard-normal Example-aware Template Mutual Matching (HETMM), an efficient framework to build a robust prototype-based decision boundary. Specifically, HETMM employs the prop","authors_text":"Jianhuang Lai, Lingxiao Yang, Xiaohua Xie, Zixuan Chen","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-28T17:54:56Z","title":"Hard-normal Example-aware Template Mutual Matching for Industrial Anomaly Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.16191","kind":"arxiv","version":5},"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:b59e24317353fece903a417d57d9721f3222db3aeef2af519da8963fff077dea","target":"record","created_at":"2026-07-05T09:46:41Z","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":"c9fb7eb2950694683cce2001e3b1ae194cab02f250c6f6d5eabca6b0928efc89","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-28T17:54:56Z","title_canon_sha256":"63e6625038f5e9f7fc55883df37f60d1c65a4d4f50c09c7bb36946c3bd6d21c3"},"schema_version":"1.0","source":{"id":"2303.16191","kind":"arxiv","version":5}},"canonical_sha256":"733bf5fde26747953c98972addbf06b350a7f82b6b04b14e2de4a5aabccd137a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"733bf5fde26747953c98972addbf06b350a7f82b6b04b14e2de4a5aabccd137a","first_computed_at":"2026-07-05T09:46:41.367494Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:46:41.367494Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RJ9R5Ey5MMMECgUvfwPBEfQyYHR6AwTb6AU77gxJNgOIJynRGMhiXuyP2D3BAsSZOweIy/dL48lN+HqXi2/4CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:46:41.367984Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.16191","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b59e24317353fece903a417d57d9721f3222db3aeef2af519da8963fff077dea","sha256:a8e3771863a43bc397352562b29d3bac7f2904e2a3dab3db647109c571087a5b"],"state_sha256":"80ca1f1757421cf996ce3f202d915576b569c99ea5bd21ed529756b881a78016"}