{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:AEKN4VYHWTHKERXQYKPFOBINHU","short_pith_number":"pith:AEKN4VYH","canonical_record":{"source":{"id":"2310.04010","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-06T04:40:48Z","cross_cats_sorted":["cs.AI","eess.IV"],"title_canon_sha256":"2fcbcf143b64ca9bbd0aa79c89050b90b14e9e504b845d92436e58acbe9b8656","abstract_canon_sha256":"53585dc1b4b45555be9f4c6b3c31f918e74353d09bb6d68ee3bdab3239583847"},"schema_version":"1.0"},"canonical_sha256":"0114de5707b4cea246f0c29e57050d3d2b7b9eabe8163a77eeb1bfbc6c3f4a11","source":{"kind":"arxiv","id":"2310.04010","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.04010","created_at":"2026-07-05T07:11:18Z"},{"alias_kind":"arxiv_version","alias_value":"2310.04010v2","created_at":"2026-07-05T07:11:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.04010","created_at":"2026-07-05T07:11:18Z"},{"alias_kind":"pith_short_12","alias_value":"AEKN4VYHWTHK","created_at":"2026-07-05T07:11:18Z"},{"alias_kind":"pith_short_16","alias_value":"AEKN4VYHWTHKERXQ","created_at":"2026-07-05T07:11:18Z"},{"alias_kind":"pith_short_8","alias_value":"AEKN4VYH","created_at":"2026-07-05T07:11:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:AEKN4VYHWTHKERXQYKPFOBINHU","target":"record","payload":{"canonical_record":{"source":{"id":"2310.04010","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-06T04:40:48Z","cross_cats_sorted":["cs.AI","eess.IV"],"title_canon_sha256":"2fcbcf143b64ca9bbd0aa79c89050b90b14e9e504b845d92436e58acbe9b8656","abstract_canon_sha256":"53585dc1b4b45555be9f4c6b3c31f918e74353d09bb6d68ee3bdab3239583847"},"schema_version":"1.0"},"canonical_sha256":"0114de5707b4cea246f0c29e57050d3d2b7b9eabe8163a77eeb1bfbc6c3f4a11","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:11:18.779921Z","signature_b64":"A1r8jag8tCBrGE6LrVZQIoZwkNI+8pO5dZxzK0F+wU878Os5pLDtrQbi5g6kSoWVTqj676PpCziSvgy9w4RkCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0114de5707b4cea246f0c29e57050d3d2b7b9eabe8163a77eeb1bfbc6c3f4a11","last_reissued_at":"2026-07-05T07:11:18.779437Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:11:18.779437Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.04010","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":"2026-07-05T07:11:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"y170BDsctCo/0XpphZqhhjCNJmn7UuGdldjX+nCjaDq4DdnU1E8oj3Uc8ZzPJ2mPZwio1IjBdVFYzEOu3QpoAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T08:53:59.319731Z"},"content_sha256":"9b72161a340074fc521f6c0aca72fa891da68c46b40ae5758b0ea062c122eb1e","schema_version":"1.0","event_id":"sha256:9b72161a340074fc521f6c0aca72fa891da68c46b40ae5758b0ea062c122eb1e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:AEKN4VYHWTHKERXQYKPFOBINHU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Excision And Recovery: Visual Defect Obfuscation Based Self-Supervised Anomaly Detection Strategy","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","eess.IV"],"primary_cat":"cs.CV","authors_text":"Hyeong Seok Kim, Juneho Yi, Myung Jin Kim, Sungho Kang, YeongHyeon Park, Yeonho Lee","submitted_at":"2023-10-06T04:40:48Z","abstract_excerpt":"Due to scarcity of anomaly situations in the early manufacturing stage, an unsupervised anomaly detection (UAD) approach is widely adopted which only uses normal samples for training. This approach is based on the assumption that the trained UAD model will accurately reconstruct normal patterns but struggles with unseen anomalous patterns. To enhance the UAD performance, reconstruction-by-inpainting based methods have recently been investigated, especially on the masking strategy of suspected defective regions. However, there are still issues to overcome: 1) time-consuming inference due to mul"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.04010","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/2310.04010/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":"2026-07-05T07:11:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"G+rc/6bVh8H9nRhQd7VCXLrHmo0Cp6j9dsPiddT77ajzxHULt/gxgBn4zIoU7CeUuxgbtmAlpSdEOPu692OmCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T08:53:59.320447Z"},"content_sha256":"fcaad1700b7902920919c64ee6369ca33749ad36d95dbf7e556fc38b0563819a","schema_version":"1.0","event_id":"sha256:fcaad1700b7902920919c64ee6369ca33749ad36d95dbf7e556fc38b0563819a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AEKN4VYHWTHKERXQYKPFOBINHU/bundle.json","state_url":"https://pith.science/pith/AEKN4VYHWTHKERXQYKPFOBINHU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AEKN4VYHWTHKERXQYKPFOBINHU/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":"2026-08-12T08:53:59Z","links":{"resolver":"https://pith.science/pith/AEKN4VYHWTHKERXQYKPFOBINHU","bundle":"https://pith.science/pith/AEKN4VYHWTHKERXQYKPFOBINHU/bundle.json","state":"https://pith.science/pith/AEKN4VYHWTHKERXQYKPFOBINHU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AEKN4VYHWTHKERXQYKPFOBINHU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:AEKN4VYHWTHKERXQYKPFOBINHU","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":"53585dc1b4b45555be9f4c6b3c31f918e74353d09bb6d68ee3bdab3239583847","cross_cats_sorted":["cs.AI","eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-06T04:40:48Z","title_canon_sha256":"2fcbcf143b64ca9bbd0aa79c89050b90b14e9e504b845d92436e58acbe9b8656"},"schema_version":"1.0","source":{"id":"2310.04010","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.04010","created_at":"2026-07-05T07:11:18Z"},{"alias_kind":"arxiv_version","alias_value":"2310.04010v2","created_at":"2026-07-05T07:11:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.04010","created_at":"2026-07-05T07:11:18Z"},{"alias_kind":"pith_short_12","alias_value":"AEKN4VYHWTHK","created_at":"2026-07-05T07:11:18Z"},{"alias_kind":"pith_short_16","alias_value":"AEKN4VYHWTHKERXQ","created_at":"2026-07-05T07:11:18Z"},{"alias_kind":"pith_short_8","alias_value":"AEKN4VYH","created_at":"2026-07-05T07:11:18Z"}],"graph_snapshots":[{"event_id":"sha256:fcaad1700b7902920919c64ee6369ca33749ad36d95dbf7e556fc38b0563819a","target":"graph","created_at":"2026-07-05T07:11:18Z","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/2310.04010/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Due to scarcity of anomaly situations in the early manufacturing stage, an unsupervised anomaly detection (UAD) approach is widely adopted which only uses normal samples for training. This approach is based on the assumption that the trained UAD model will accurately reconstruct normal patterns but struggles with unseen anomalous patterns. To enhance the UAD performance, reconstruction-by-inpainting based methods have recently been investigated, especially on the masking strategy of suspected defective regions. However, there are still issues to overcome: 1) time-consuming inference due to mul","authors_text":"Hyeong Seok Kim, Juneho Yi, Myung Jin Kim, Sungho Kang, YeongHyeon Park, Yeonho Lee","cross_cats":["cs.AI","eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-06T04:40:48Z","title":"Excision And Recovery: Visual Defect Obfuscation Based Self-Supervised Anomaly Detection Strategy"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.04010","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":"sha256:9b72161a340074fc521f6c0aca72fa891da68c46b40ae5758b0ea062c122eb1e","target":"record","created_at":"2026-07-05T07:11:18Z","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":"53585dc1b4b45555be9f4c6b3c31f918e74353d09bb6d68ee3bdab3239583847","cross_cats_sorted":["cs.AI","eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-06T04:40:48Z","title_canon_sha256":"2fcbcf143b64ca9bbd0aa79c89050b90b14e9e504b845d92436e58acbe9b8656"},"schema_version":"1.0","source":{"id":"2310.04010","kind":"arxiv","version":2}},"canonical_sha256":"0114de5707b4cea246f0c29e57050d3d2b7b9eabe8163a77eeb1bfbc6c3f4a11","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0114de5707b4cea246f0c29e57050d3d2b7b9eabe8163a77eeb1bfbc6c3f4a11","first_computed_at":"2026-07-05T07:11:18.779437Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:11:18.779437Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"A1r8jag8tCBrGE6LrVZQIoZwkNI+8pO5dZxzK0F+wU878Os5pLDtrQbi5g6kSoWVTqj676PpCziSvgy9w4RkCA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:11:18.779921Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.04010","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9b72161a340074fc521f6c0aca72fa891da68c46b40ae5758b0ea062c122eb1e","sha256:fcaad1700b7902920919c64ee6369ca33749ad36d95dbf7e556fc38b0563819a"],"state_sha256":"de7582eac9039739f75bbae613320b721c85f39e06c52a11863c1c759f6e41e1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AqEIEQnuRskYqfkVgkn1NsTX5C5O9brARUSWkDghRenrYmR5y1vbMMKayvsRQ2qMdpuXTUufmFJxHHE6oBbHDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T08:53:59.327008Z","bundle_sha256":"f741e872591226d35688623d33e424eb1d7dea89981e9a028ca27a42b3b8e7f4"}}