{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:7HLGBMC3X5NUH6PW6KMRHZGKJX","short_pith_number":"pith:7HLGBMC3","canonical_record":{"source":{"id":"2408.15113","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-27T14:51:34Z","cross_cats_sorted":[],"title_canon_sha256":"37a627319ad448a9d9c778a9df13c479cfcb290a1473847b28089082e46f310c","abstract_canon_sha256":"ee33d10c42233c30825b93166a5a8714665e2f24792b982f397bb9c40de47f3b"},"schema_version":"1.0"},"canonical_sha256":"f9d660b05bbf5b43f9f6f29913e4ca4dfb3fc9ded7a2ad75c9fafaf7d2d31eb1","source":{"kind":"arxiv","id":"2408.15113","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.15113","created_at":"2026-07-05T09:00:24Z"},{"alias_kind":"arxiv_version","alias_value":"2408.15113v2","created_at":"2026-07-05T09:00:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.15113","created_at":"2026-07-05T09:00:24Z"},{"alias_kind":"pith_short_12","alias_value":"7HLGBMC3X5NU","created_at":"2026-07-05T09:00:24Z"},{"alias_kind":"pith_short_16","alias_value":"7HLGBMC3X5NUH6PW","created_at":"2026-07-05T09:00:24Z"},{"alias_kind":"pith_short_8","alias_value":"7HLGBMC3","created_at":"2026-07-05T09:00:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:7HLGBMC3X5NUH6PW6KMRHZGKJX","target":"record","payload":{"canonical_record":{"source":{"id":"2408.15113","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-27T14:51:34Z","cross_cats_sorted":[],"title_canon_sha256":"37a627319ad448a9d9c778a9df13c479cfcb290a1473847b28089082e46f310c","abstract_canon_sha256":"ee33d10c42233c30825b93166a5a8714665e2f24792b982f397bb9c40de47f3b"},"schema_version":"1.0"},"canonical_sha256":"f9d660b05bbf5b43f9f6f29913e4ca4dfb3fc9ded7a2ad75c9fafaf7d2d31eb1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:00:24.426415Z","signature_b64":"a/1tH8QmUGza8EvHaUDKjDpHlvvVAzzGOAOpXD0EJyWHeh4tyTOW9hAiJKNVFRsnMb47a0X2E4VUbBXeheSRBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f9d660b05bbf5b43f9f6f29913e4ca4dfb3fc9ded7a2ad75c9fafaf7d2d31eb1","last_reissued_at":"2026-07-05T09:00:24.426040Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:00:24.426040Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2408.15113","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":"2026-07-05T09:00:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N/3nui+aMnCYYrXRAt68QkKmvxBfAas+PQxEYPlpJFBSXCbzb+YdwGlbBSb43cOxChQVZn2csE7JtkCD3hfCAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T07:40:52.687106Z"},"content_sha256":"f705cf030fa5e937814d552fa47bcb179154ef984b34c63e9049b0e1573f2293","schema_version":"1.0","event_id":"sha256:f705cf030fa5e937814d552fa47bcb179154ef984b34c63e9049b0e1573f2293"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:7HLGBMC3X5NUH6PW6KMRHZGKJX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AnomalousPatchCore: Exploring the Use of Anomalous Samples in Industrial Anomaly Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Christian Wilms, Detlef Mentrup, Mykhailo Koshil, Simone Frintrop, Tilman Wegener","submitted_at":"2024-08-27T14:51:34Z","abstract_excerpt":"Visual inspection, or industrial anomaly detection, is one of the most common quality control types in manufacturing. The task is to identify the presence of an anomaly given an image, e.g., a missing component on an image of a circuit board, for subsequent manual inspection. While industrial anomaly detection has seen a surge in recent years, most anomaly detection methods still utilize knowledge only from normal samples, failing to leverage the information from the frequently available anomalous samples. Additionally, they heavily rely on very general feature extractors pre-trained on common"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.15113","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/2408.15113/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":"2026-07-05T09:00:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jIUZ+rYVdYmEmsaetboQLyj8EqJ9a01IwsARw12yoS7C7+PIVgOl4VZi85BgR9oyBvBOHZazGcQSs2XkKEwuDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T07:40:52.687753Z"},"content_sha256":"f295ebf771114be239363a776cb08acdbadc8a6867d0498b93a71afb49c78cac","schema_version":"1.0","event_id":"sha256:f295ebf771114be239363a776cb08acdbadc8a6867d0498b93a71afb49c78cac"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7HLGBMC3X5NUH6PW6KMRHZGKJX/bundle.json","state_url":"https://pith.science/pith/7HLGBMC3X5NUH6PW6KMRHZGKJX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7HLGBMC3X5NUH6PW6KMRHZGKJX/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":"2026-07-08T07:40:52Z","links":{"resolver":"https://pith.science/pith/7HLGBMC3X5NUH6PW6KMRHZGKJX","bundle":"https://pith.science/pith/7HLGBMC3X5NUH6PW6KMRHZGKJX/bundle.json","state":"https://pith.science/pith/7HLGBMC3X5NUH6PW6KMRHZGKJX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7HLGBMC3X5NUH6PW6KMRHZGKJX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:7HLGBMC3X5NUH6PW6KMRHZGKJX","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":"ee33d10c42233c30825b93166a5a8714665e2f24792b982f397bb9c40de47f3b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-27T14:51:34Z","title_canon_sha256":"37a627319ad448a9d9c778a9df13c479cfcb290a1473847b28089082e46f310c"},"schema_version":"1.0","source":{"id":"2408.15113","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.15113","created_at":"2026-07-05T09:00:24Z"},{"alias_kind":"arxiv_version","alias_value":"2408.15113v2","created_at":"2026-07-05T09:00:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.15113","created_at":"2026-07-05T09:00:24Z"},{"alias_kind":"pith_short_12","alias_value":"7HLGBMC3X5NU","created_at":"2026-07-05T09:00:24Z"},{"alias_kind":"pith_short_16","alias_value":"7HLGBMC3X5NUH6PW","created_at":"2026-07-05T09:00:24Z"},{"alias_kind":"pith_short_8","alias_value":"7HLGBMC3","created_at":"2026-07-05T09:00:24Z"}],"graph_snapshots":[{"event_id":"sha256:f295ebf771114be239363a776cb08acdbadc8a6867d0498b93a71afb49c78cac","target":"graph","created_at":"2026-07-05T09:00:24Z","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/2408.15113/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Visual inspection, or industrial anomaly detection, is one of the most common quality control types in manufacturing. The task is to identify the presence of an anomaly given an image, e.g., a missing component on an image of a circuit board, for subsequent manual inspection. While industrial anomaly detection has seen a surge in recent years, most anomaly detection methods still utilize knowledge only from normal samples, failing to leverage the information from the frequently available anomalous samples. Additionally, they heavily rely on very general feature extractors pre-trained on common","authors_text":"Christian Wilms, Detlef Mentrup, Mykhailo Koshil, Simone Frintrop, Tilman Wegener","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-27T14:51:34Z","title":"AnomalousPatchCore: Exploring the Use of Anomalous Samples in Industrial Anomaly Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.15113","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:f705cf030fa5e937814d552fa47bcb179154ef984b34c63e9049b0e1573f2293","target":"record","created_at":"2026-07-05T09:00:24Z","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":"ee33d10c42233c30825b93166a5a8714665e2f24792b982f397bb9c40de47f3b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-27T14:51:34Z","title_canon_sha256":"37a627319ad448a9d9c778a9df13c479cfcb290a1473847b28089082e46f310c"},"schema_version":"1.0","source":{"id":"2408.15113","kind":"arxiv","version":2}},"canonical_sha256":"f9d660b05bbf5b43f9f6f29913e4ca4dfb3fc9ded7a2ad75c9fafaf7d2d31eb1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f9d660b05bbf5b43f9f6f29913e4ca4dfb3fc9ded7a2ad75c9fafaf7d2d31eb1","first_computed_at":"2026-07-05T09:00:24.426040Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:00:24.426040Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"a/1tH8QmUGza8EvHaUDKjDpHlvvVAzzGOAOpXD0EJyWHeh4tyTOW9hAiJKNVFRsnMb47a0X2E4VUbBXeheSRBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:00:24.426415Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.15113","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f705cf030fa5e937814d552fa47bcb179154ef984b34c63e9049b0e1573f2293","sha256:f295ebf771114be239363a776cb08acdbadc8a6867d0498b93a71afb49c78cac"],"state_sha256":"a282d9333d393aa776c92682d296b2065b0f442f54ccb4737e0cf8ebb47fdb85"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lnw6lP4yJ8thWGFtkVSG31m0owaEI+o91tfTh4BDXfXbZvbffdPPQVrtlholnkn8vwpsWE3J6ndqBQ1rxWGKAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-08T07:40:52.691007Z","bundle_sha256":"71c8f2fbc9412fe217c7e29cf978698af399d5726daa0f68f376614f408a997d"}}