{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:4QR44GTJ3NZ6H4PV2OK3UO53VU","short_pith_number":"pith:4QR44GTJ","canonical_record":{"source":{"id":"2506.13097","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-16T05:04:12Z","cross_cats_sorted":[],"title_canon_sha256":"59f3239acb7f8004d4c2874b994f4a39274ce5620290e6b44f1eb5ba991a4b72","abstract_canon_sha256":"9158bed7f67ac6fbac18fe800a20c247a60e69cf65a35b581c567dc2db4542fe"},"schema_version":"1.0"},"canonical_sha256":"e423ce1a69db73e3f1f5d395ba3bbbad3318030b39991c000f80ac31366cbee3","source":{"kind":"arxiv","id":"2506.13097","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.13097","created_at":"2026-07-05T11:26:05Z"},{"alias_kind":"arxiv_version","alias_value":"2506.13097v3","created_at":"2026-07-05T11:26:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.13097","created_at":"2026-07-05T11:26:05Z"},{"alias_kind":"pith_short_12","alias_value":"4QR44GTJ3NZ6","created_at":"2026-07-05T11:26:05Z"},{"alias_kind":"pith_short_16","alias_value":"4QR44GTJ3NZ6H4PV","created_at":"2026-07-05T11:26:05Z"},{"alias_kind":"pith_short_8","alias_value":"4QR44GTJ","created_at":"2026-07-05T11:26:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:4QR44GTJ3NZ6H4PV2OK3UO53VU","target":"record","payload":{"canonical_record":{"source":{"id":"2506.13097","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-16T05:04:12Z","cross_cats_sorted":[],"title_canon_sha256":"59f3239acb7f8004d4c2874b994f4a39274ce5620290e6b44f1eb5ba991a4b72","abstract_canon_sha256":"9158bed7f67ac6fbac18fe800a20c247a60e69cf65a35b581c567dc2db4542fe"},"schema_version":"1.0"},"canonical_sha256":"e423ce1a69db73e3f1f5d395ba3bbbad3318030b39991c000f80ac31366cbee3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:26:05.452488Z","signature_b64":"yyf1nQG0U8yWwWxXNA+IjSCjljQjMUaANd6ah4FXkBQOlrbSBCucm2seGF3/ZqfCQJjrriKCTwu9fP3ZQbNxBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e423ce1a69db73e3f1f5d395ba3bbbad3318030b39991c000f80ac31366cbee3","last_reissued_at":"2026-07-05T11:26:05.451889Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:26:05.451889Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.13097","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":"2026-07-05T11:26:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CkRKKHsyoZIVU658hDvajRSFTv5e9xmgvpHNsimeC1wMPo9/3JRgfkhtIOpEIg1+KJpw3+tBpmypzuFyVfkiAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T20:25:12.235069Z"},"content_sha256":"3db31e2d92ed0b6941b6f85a68ae9d4063bf97ef69735224e5c904b33f64f191","schema_version":"1.0","event_id":"sha256:3db31e2d92ed0b6941b6f85a68ae9d4063bf97ef69735224e5c904b33f64f191"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:4QR44GTJ3NZ6H4PV2OK3UO53VU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Pro-AD: Learning Comprehensive Prototypes with Prototype-based Constraint for Multi-class Unsupervised Anomaly Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bo Peng, Dong Wu, Lidong Wang, Mingmin Chi, Wenbing Zhu, Yurui Pan, Ziqing Zhou","submitted_at":"2025-06-16T05:04:12Z","abstract_excerpt":"Prototype-based reconstruction methods for unsupervised anomaly detection utilize a limited set of learnable prototypes which only aggregates insufficient normal information, resulting in undesirable reconstruction. However, increasing the number of prototypes may lead to anomalies being well reconstructed through the attention mechanism, which we refer to as the \"Soft Identity Mapping\" problem. In this paper, we propose Pro-AD to address these issues and fully utilize the prototypes to boost the performance of anomaly detection. Specifically, we first introduce an expanded set of learnable pr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.13097","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/2506.13097/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":"2026-07-05T11:26:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tjoE0MMQt37nlwZ1xGc29Y6OcdvlatkKVnBnJloA8+H0Xgb8us9gY15nmrA7401rCCep3kfgtcUQ6149NyWXBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T20:25:12.235816Z"},"content_sha256":"ef1e5375ee9ec165a8675037773612a8b2a9095361ff8dd4594025ea6f1a15e1","schema_version":"1.0","event_id":"sha256:ef1e5375ee9ec165a8675037773612a8b2a9095361ff8dd4594025ea6f1a15e1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4QR44GTJ3NZ6H4PV2OK3UO53VU/bundle.json","state_url":"https://pith.science/pith/4QR44GTJ3NZ6H4PV2OK3UO53VU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4QR44GTJ3NZ6H4PV2OK3UO53VU/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":"2026-08-17T20:25:12Z","links":{"resolver":"https://pith.science/pith/4QR44GTJ3NZ6H4PV2OK3UO53VU","bundle":"https://pith.science/pith/4QR44GTJ3NZ6H4PV2OK3UO53VU/bundle.json","state":"https://pith.science/pith/4QR44GTJ3NZ6H4PV2OK3UO53VU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4QR44GTJ3NZ6H4PV2OK3UO53VU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:4QR44GTJ3NZ6H4PV2OK3UO53VU","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":"9158bed7f67ac6fbac18fe800a20c247a60e69cf65a35b581c567dc2db4542fe","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-16T05:04:12Z","title_canon_sha256":"59f3239acb7f8004d4c2874b994f4a39274ce5620290e6b44f1eb5ba991a4b72"},"schema_version":"1.0","source":{"id":"2506.13097","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.13097","created_at":"2026-07-05T11:26:05Z"},{"alias_kind":"arxiv_version","alias_value":"2506.13097v3","created_at":"2026-07-05T11:26:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.13097","created_at":"2026-07-05T11:26:05Z"},{"alias_kind":"pith_short_12","alias_value":"4QR44GTJ3NZ6","created_at":"2026-07-05T11:26:05Z"},{"alias_kind":"pith_short_16","alias_value":"4QR44GTJ3NZ6H4PV","created_at":"2026-07-05T11:26:05Z"},{"alias_kind":"pith_short_8","alias_value":"4QR44GTJ","created_at":"2026-07-05T11:26:05Z"}],"graph_snapshots":[{"event_id":"sha256:ef1e5375ee9ec165a8675037773612a8b2a9095361ff8dd4594025ea6f1a15e1","target":"graph","created_at":"2026-07-05T11:26:05Z","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/2506.13097/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Prototype-based reconstruction methods for unsupervised anomaly detection utilize a limited set of learnable prototypes which only aggregates insufficient normal information, resulting in undesirable reconstruction. However, increasing the number of prototypes may lead to anomalies being well reconstructed through the attention mechanism, which we refer to as the \"Soft Identity Mapping\" problem. In this paper, we propose Pro-AD to address these issues and fully utilize the prototypes to boost the performance of anomaly detection. Specifically, we first introduce an expanded set of learnable pr","authors_text":"Bo Peng, Dong Wu, Lidong Wang, Mingmin Chi, Wenbing Zhu, Yurui Pan, Ziqing Zhou","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-16T05:04:12Z","title":"Pro-AD: Learning Comprehensive Prototypes with Prototype-based Constraint for Multi-class Unsupervised Anomaly Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.13097","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":"sha256:3db31e2d92ed0b6941b6f85a68ae9d4063bf97ef69735224e5c904b33f64f191","target":"record","created_at":"2026-07-05T11:26:05Z","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":"9158bed7f67ac6fbac18fe800a20c247a60e69cf65a35b581c567dc2db4542fe","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-16T05:04:12Z","title_canon_sha256":"59f3239acb7f8004d4c2874b994f4a39274ce5620290e6b44f1eb5ba991a4b72"},"schema_version":"1.0","source":{"id":"2506.13097","kind":"arxiv","version":3}},"canonical_sha256":"e423ce1a69db73e3f1f5d395ba3bbbad3318030b39991c000f80ac31366cbee3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e423ce1a69db73e3f1f5d395ba3bbbad3318030b39991c000f80ac31366cbee3","first_computed_at":"2026-07-05T11:26:05.451889Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:26:05.451889Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yyf1nQG0U8yWwWxXNA+IjSCjljQjMUaANd6ah4FXkBQOlrbSBCucm2seGF3/ZqfCQJjrriKCTwu9fP3ZQbNxBw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:26:05.452488Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.13097","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3db31e2d92ed0b6941b6f85a68ae9d4063bf97ef69735224e5c904b33f64f191","sha256:ef1e5375ee9ec165a8675037773612a8b2a9095361ff8dd4594025ea6f1a15e1"],"state_sha256":"3d94945fdba6d087c30b50cf3cc5dcc6891939a0ae327438127f2e5316d8b728"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SPDHg7N5D5KZ16qJms2YEnnbOsQ70fFNsG7klW0MIde3IQdtIdckfkNvh0TylEcsqRVcvU0QC+dvIupqBM4WDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T20:25:12.242805Z","bundle_sha256":"4e9b468e6d383946927e050926ff0c42e020d66bee8c4ab7a98f0a72173df466"}}