{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:PIKK7SLPV4CNAHPV7NWC6NGQTB","short_pith_number":"pith:PIKK7SLP","canonical_record":{"source":{"id":"2508.02477","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-04T14:44:40Z","cross_cats_sorted":[],"title_canon_sha256":"2bc627054313328c562f1bc6ae0e2a2357a4e9223e89237f7ec8e81f86d5f5d2","abstract_canon_sha256":"f0f469054c6a0f0e08832fdac2c4513c86c82727ff96f000e3fbf109681a2c7b"},"schema_version":"1.0"},"canonical_sha256":"7a14afc96faf04d01df5fb6c2f34d098630f7296ac6c6245d128a3cdb628b87e","source":{"kind":"arxiv","id":"2508.02477","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.02477","created_at":"2026-07-05T11:48:14Z"},{"alias_kind":"arxiv_version","alias_value":"2508.02477v1","created_at":"2026-07-05T11:48:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.02477","created_at":"2026-07-05T11:48:14Z"},{"alias_kind":"pith_short_12","alias_value":"PIKK7SLPV4CN","created_at":"2026-07-05T11:48:14Z"},{"alias_kind":"pith_short_16","alias_value":"PIKK7SLPV4CNAHPV","created_at":"2026-07-05T11:48:14Z"},{"alias_kind":"pith_short_8","alias_value":"PIKK7SLP","created_at":"2026-07-05T11:48:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:PIKK7SLPV4CNAHPV7NWC6NGQTB","target":"record","payload":{"canonical_record":{"source":{"id":"2508.02477","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-04T14:44:40Z","cross_cats_sorted":[],"title_canon_sha256":"2bc627054313328c562f1bc6ae0e2a2357a4e9223e89237f7ec8e81f86d5f5d2","abstract_canon_sha256":"f0f469054c6a0f0e08832fdac2c4513c86c82727ff96f000e3fbf109681a2c7b"},"schema_version":"1.0"},"canonical_sha256":"7a14afc96faf04d01df5fb6c2f34d098630f7296ac6c6245d128a3cdb628b87e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:48:14.925560Z","signature_b64":"tsUIN+Y3u0Rkhrq+mA7LGuyxDCvZ0Vc4WbZUQ4/i/YTfyK7XC0OS/THgg1kDt1zku/cMk724D8T0eutQ2SwpCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7a14afc96faf04d01df5fb6c2f34d098630f7296ac6c6245d128a3cdb628b87e","last_reissued_at":"2026-07-05T11:48:14.925097Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:48:14.925097Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.02477","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":"2026-07-05T11:48:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TdFMo7fYbQBGa0JdSC74SFwpufoKd7W2TBJPA+DLhe/qx60OGYlbCuSWPNZYBMvjFttHgstLVTOQ4jQKGYqfAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T18:07:02.563948Z"},"content_sha256":"9ef6e43b486f727c78321f75ffe3d66a60099de99266cddfd19f4d2f97918bfd","schema_version":"1.0","event_id":"sha256:9ef6e43b486f727c78321f75ffe3d66a60099de99266cddfd19f4d2f97918bfd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:PIKK7SLPV4CNAHPV7NWC6NGQTB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jaehyuk Heo, Pilsung Kang","submitted_at":"2025-08-04T14:44:40Z","abstract_excerpt":"Recent advances in image anomaly detection have extended unsupervised learning-based models from single-class settings to multi-class frameworks, aiming to improve efficiency in training time and model storage. When a single model is trained to handle multiple classes, it often underperforms compared to class-specific models in terms of per-class detection accuracy. Accordingly, previous studies have primarily focused on narrowing this performance gap. However, the way class information is used, or not used, remains a relatively understudied factor that could influence how detection thresholds"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.02477","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/2508.02477/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":"2026-07-05T11:48:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PSXgZrh/Hv4ikxXVi5hcS8K7Ssa8bTCIp2CMISaMCK+ejcQivUoDfq1QMgP7nFFeMv/0ItkRlJ4+EQINKW4lBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T18:07:02.565141Z"},"content_sha256":"ad05959db5078ec92cc92197512e07e3eeaccaad9b7732ca206f559a8665c011","schema_version":"1.0","event_id":"sha256:ad05959db5078ec92cc92197512e07e3eeaccaad9b7732ca206f559a8665c011"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PIKK7SLPV4CNAHPV7NWC6NGQTB/bundle.json","state_url":"https://pith.science/pith/PIKK7SLPV4CNAHPV7NWC6NGQTB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PIKK7SLPV4CNAHPV7NWC6NGQTB/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":"2026-08-07T18:07:02Z","links":{"resolver":"https://pith.science/pith/PIKK7SLPV4CNAHPV7NWC6NGQTB","bundle":"https://pith.science/pith/PIKK7SLPV4CNAHPV7NWC6NGQTB/bundle.json","state":"https://pith.science/pith/PIKK7SLPV4CNAHPV7NWC6NGQTB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PIKK7SLPV4CNAHPV7NWC6NGQTB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:PIKK7SLPV4CNAHPV7NWC6NGQTB","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":"f0f469054c6a0f0e08832fdac2c4513c86c82727ff96f000e3fbf109681a2c7b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-04T14:44:40Z","title_canon_sha256":"2bc627054313328c562f1bc6ae0e2a2357a4e9223e89237f7ec8e81f86d5f5d2"},"schema_version":"1.0","source":{"id":"2508.02477","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.02477","created_at":"2026-07-05T11:48:14Z"},{"alias_kind":"arxiv_version","alias_value":"2508.02477v1","created_at":"2026-07-05T11:48:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.02477","created_at":"2026-07-05T11:48:14Z"},{"alias_kind":"pith_short_12","alias_value":"PIKK7SLPV4CN","created_at":"2026-07-05T11:48:14Z"},{"alias_kind":"pith_short_16","alias_value":"PIKK7SLPV4CNAHPV","created_at":"2026-07-05T11:48:14Z"},{"alias_kind":"pith_short_8","alias_value":"PIKK7SLP","created_at":"2026-07-05T11:48:14Z"}],"graph_snapshots":[{"event_id":"sha256:ad05959db5078ec92cc92197512e07e3eeaccaad9b7732ca206f559a8665c011","target":"graph","created_at":"2026-07-05T11:48:14Z","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/2508.02477/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advances in image anomaly detection have extended unsupervised learning-based models from single-class settings to multi-class frameworks, aiming to improve efficiency in training time and model storage. When a single model is trained to handle multiple classes, it often underperforms compared to class-specific models in terms of per-class detection accuracy. Accordingly, previous studies have primarily focused on narrowing this performance gap. However, the way class information is used, or not used, remains a relatively understudied factor that could influence how detection thresholds","authors_text":"Jaehyuk Heo, Pilsung Kang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.02477","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":"sha256:9ef6e43b486f727c78321f75ffe3d66a60099de99266cddfd19f4d2f97918bfd","target":"record","created_at":"2026-07-05T11:48:14Z","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":"f0f469054c6a0f0e08832fdac2c4513c86c82727ff96f000e3fbf109681a2c7b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-04T14:44:40Z","title_canon_sha256":"2bc627054313328c562f1bc6ae0e2a2357a4e9223e89237f7ec8e81f86d5f5d2"},"schema_version":"1.0","source":{"id":"2508.02477","kind":"arxiv","version":1}},"canonical_sha256":"7a14afc96faf04d01df5fb6c2f34d098630f7296ac6c6245d128a3cdb628b87e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7a14afc96faf04d01df5fb6c2f34d098630f7296ac6c6245d128a3cdb628b87e","first_computed_at":"2026-07-05T11:48:14.925097Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:48:14.925097Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tsUIN+Y3u0Rkhrq+mA7LGuyxDCvZ0Vc4WbZUQ4/i/YTfyK7XC0OS/THgg1kDt1zku/cMk724D8T0eutQ2SwpCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:48:14.925560Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.02477","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9ef6e43b486f727c78321f75ffe3d66a60099de99266cddfd19f4d2f97918bfd","sha256:ad05959db5078ec92cc92197512e07e3eeaccaad9b7732ca206f559a8665c011"],"state_sha256":"18f38dac020c15150573cf16ea5f425939b03f614205c90179b83076bc875094"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xcNQCh42A5nGUX9aUEAhwsjT3LK/mGBpQ68Xpj3ovSp40wRMFWv/4HhfLGcuqFytDCA2LfFAJ9mG8sbXvSsdBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T18:07:02.571754Z","bundle_sha256":"f58a28b14e27c33e1aae94e13417b66b60b653e25a184836f5406f3111542f84"}}