{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:5WPZSPSRS4UCR5HHBF4E5XNOAM","short_pith_number":"pith:5WPZSPSR","canonical_record":{"source":{"id":"2405.04953","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-08T10:47:28Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"9c2eed84944dcf6e6728c770d3737d354ef5548a3134d6d269b8aaf1143ac83d","abstract_canon_sha256":"9e980401e2fa26b413ac8eccd1cb4ce1d6155187d9fe449c64fad0566f008996"},"schema_version":"1.0"},"canonical_sha256":"ed9f993e51972828f4e709784eddae0312caee1b96137880cb2f8c944b5522c2","source":{"kind":"arxiv","id":"2405.04953","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.04953","created_at":"2026-07-05T08:18:08Z"},{"alias_kind":"arxiv_version","alias_value":"2405.04953v2","created_at":"2026-07-05T08:18:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.04953","created_at":"2026-07-05T08:18:08Z"},{"alias_kind":"pith_short_12","alias_value":"5WPZSPSRS4UC","created_at":"2026-07-05T08:18:08Z"},{"alias_kind":"pith_short_16","alias_value":"5WPZSPSRS4UCR5HH","created_at":"2026-07-05T08:18:08Z"},{"alias_kind":"pith_short_8","alias_value":"5WPZSPSR","created_at":"2026-07-05T08:18:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:5WPZSPSRS4UCR5HHBF4E5XNOAM","target":"record","payload":{"canonical_record":{"source":{"id":"2405.04953","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-08T10:47:28Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"9c2eed84944dcf6e6728c770d3737d354ef5548a3134d6d269b8aaf1143ac83d","abstract_canon_sha256":"9e980401e2fa26b413ac8eccd1cb4ce1d6155187d9fe449c64fad0566f008996"},"schema_version":"1.0"},"canonical_sha256":"ed9f993e51972828f4e709784eddae0312caee1b96137880cb2f8c944b5522c2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:18:08.878610Z","signature_b64":"M1l4rI8J+PXTsKXQUQ6Abtkz38RDIa//hUYUJBPQhBRJbqElzp4oaeHpSqtsT1YW7FZFXJdiGEbGmizKlshODQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ed9f993e51972828f4e709784eddae0312caee1b96137880cb2f8c944b5522c2","last_reissued_at":"2026-07-05T08:18:08.878132Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:18:08.878132Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.04953","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:18:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Puq3pIFL5OThok69OZjc5cm2OPmhKHxFyKgU5DJ4zsaU5FOJZll6GVHyJ4uW4MY5V/rdUwPs9e4fLgojMk/CBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T17:59:26.893732Z"},"content_sha256":"ee9ee4bb2a87e3be9b4591b923b6db9db09c0f7cf9f7e026fa9c85a55bfc37ec","schema_version":"1.0","event_id":"sha256:ee9ee4bb2a87e3be9b4591b923b6db9db09c0f7cf9f7e026fa9c85a55bfc37ec"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:5WPZSPSRS4UCR5HHBF4E5XNOAM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Supervised Anomaly Detection for Complex Industrial Images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Aimira Baitieva, David Hurych, Olivier Bernard, Victor Besnier","submitted_at":"2024-05-08T10:47:28Z","abstract_excerpt":"Automating visual inspection in industrial production lines is essential for increasing product quality across various industries. Anomaly detection (AD) methods serve as robust tools for this purpose. However, existing public datasets primarily consist of images without anomalies, limiting the practical application of AD methods in production settings. To address this challenge, we present (1) the Valeo Anomaly Dataset (VAD), a novel real-world industrial dataset comprising 5000 images, including 2000 instances of challenging real defects across more than 20 subclasses. Acknowledging that tra"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.04953","kind":"arxiv","version":2},"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/2405.04953/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":"2026-07-05T08:18:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"I3fTxmgSc8CDyny5iqtnRiP+FzmiGyRh2XVVgNHwq1VHP7b3otAB0XV+m9Ci3pA2tSZJKXScJMii9/f2FMqQCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T17:59:26.894796Z"},"content_sha256":"7b721d26de0bc9ee3d2ae50a4530946123613d1b2eb842de3dc902251f5fa7fa","schema_version":"1.0","event_id":"sha256:7b721d26de0bc9ee3d2ae50a4530946123613d1b2eb842de3dc902251f5fa7fa"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5WPZSPSRS4UCR5HHBF4E5XNOAM/bundle.json","state_url":"https://pith.science/pith/5WPZSPSRS4UCR5HHBF4E5XNOAM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5WPZSPSRS4UCR5HHBF4E5XNOAM/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":"2026-08-10T17:59:26Z","links":{"resolver":"https://pith.science/pith/5WPZSPSRS4UCR5HHBF4E5XNOAM","bundle":"https://pith.science/pith/5WPZSPSRS4UCR5HHBF4E5XNOAM/bundle.json","state":"https://pith.science/pith/5WPZSPSRS4UCR5HHBF4E5XNOAM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5WPZSPSRS4UCR5HHBF4E5XNOAM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:5WPZSPSRS4UCR5HHBF4E5XNOAM","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":"9e980401e2fa26b413ac8eccd1cb4ce1d6155187d9fe449c64fad0566f008996","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-08T10:47:28Z","title_canon_sha256":"9c2eed84944dcf6e6728c770d3737d354ef5548a3134d6d269b8aaf1143ac83d"},"schema_version":"1.0","source":{"id":"2405.04953","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.04953","created_at":"2026-07-05T08:18:08Z"},{"alias_kind":"arxiv_version","alias_value":"2405.04953v2","created_at":"2026-07-05T08:18:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.04953","created_at":"2026-07-05T08:18:08Z"},{"alias_kind":"pith_short_12","alias_value":"5WPZSPSRS4UC","created_at":"2026-07-05T08:18:08Z"},{"alias_kind":"pith_short_16","alias_value":"5WPZSPSRS4UCR5HH","created_at":"2026-07-05T08:18:08Z"},{"alias_kind":"pith_short_8","alias_value":"5WPZSPSR","created_at":"2026-07-05T08:18:08Z"}],"graph_snapshots":[{"event_id":"sha256:7b721d26de0bc9ee3d2ae50a4530946123613d1b2eb842de3dc902251f5fa7fa","target":"graph","created_at":"2026-07-05T08:18:08Z","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/2405.04953/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Automating visual inspection in industrial production lines is essential for increasing product quality across various industries. Anomaly detection (AD) methods serve as robust tools for this purpose. However, existing public datasets primarily consist of images without anomalies, limiting the practical application of AD methods in production settings. To address this challenge, we present (1) the Valeo Anomaly Dataset (VAD), a novel real-world industrial dataset comprising 5000 images, including 2000 instances of challenging real defects across more than 20 subclasses. Acknowledging that tra","authors_text":"Aimira Baitieva, David Hurych, Olivier Bernard, Victor Besnier","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-08T10:47:28Z","title":"Supervised Anomaly Detection for Complex Industrial Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.04953","kind":"arxiv","version":2},"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:ee9ee4bb2a87e3be9b4591b923b6db9db09c0f7cf9f7e026fa9c85a55bfc37ec","target":"record","created_at":"2026-07-05T08:18:08Z","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":"9e980401e2fa26b413ac8eccd1cb4ce1d6155187d9fe449c64fad0566f008996","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-08T10:47:28Z","title_canon_sha256":"9c2eed84944dcf6e6728c770d3737d354ef5548a3134d6d269b8aaf1143ac83d"},"schema_version":"1.0","source":{"id":"2405.04953","kind":"arxiv","version":2}},"canonical_sha256":"ed9f993e51972828f4e709784eddae0312caee1b96137880cb2f8c944b5522c2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ed9f993e51972828f4e709784eddae0312caee1b96137880cb2f8c944b5522c2","first_computed_at":"2026-07-05T08:18:08.878132Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:18:08.878132Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"M1l4rI8J+PXTsKXQUQ6Abtkz38RDIa//hUYUJBPQhBRJbqElzp4oaeHpSqtsT1YW7FZFXJdiGEbGmizKlshODQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:18:08.878610Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.04953","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ee9ee4bb2a87e3be9b4591b923b6db9db09c0f7cf9f7e026fa9c85a55bfc37ec","sha256:7b721d26de0bc9ee3d2ae50a4530946123613d1b2eb842de3dc902251f5fa7fa"],"state_sha256":"bb6eae47ef4d81bf8921a8294bb6f1ca56d1781460005ef88396e47903391235"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xP0ZMIappaVv+n6YIGmOUbD7d+XAFTZwHAwLHe05MJwSzlsma6e5bTD69us3fcrtvDDLsZFb6SnICQZr31pKBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T17:59:26.901820Z","bundle_sha256":"bf2329f22b4667393f621a7437a9b34c7bc14b989b4b3300d7e036583815f55f"}}