{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:3PRCCNOBID66CWXVRN2KI3GAJW","short_pith_number":"pith:3PRCCNOB","canonical_record":{"source":{"id":"2605.28428","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-27T12:58:56Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"49b320c6ad819eb1187e0e107f8035b32db0ec3aee65243e8bfbef3b8718ea6c","abstract_canon_sha256":"33bc7a0d6a74d13198ce8a69cc5270e054fe4556c2822a2514c5efe9bc0914a3"},"schema_version":"1.0"},"canonical_sha256":"dbe22135c140fde15af58b74a46cc04db0f45bf411d750cd48dccb94a9eb0450","source":{"kind":"arxiv","id":"2605.28428","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.28428","created_at":"2026-05-28T01:05:17Z"},{"alias_kind":"arxiv_version","alias_value":"2605.28428v1","created_at":"2026-05-28T01:05:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.28428","created_at":"2026-05-28T01:05:17Z"},{"alias_kind":"pith_short_12","alias_value":"3PRCCNOBID66","created_at":"2026-05-28T01:05:17Z"},{"alias_kind":"pith_short_16","alias_value":"3PRCCNOBID66CWXV","created_at":"2026-05-28T01:05:17Z"},{"alias_kind":"pith_short_8","alias_value":"3PRCCNOB","created_at":"2026-05-28T01:05:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:3PRCCNOBID66CWXVRN2KI3GAJW","target":"record","payload":{"canonical_record":{"source":{"id":"2605.28428","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-27T12:58:56Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"49b320c6ad819eb1187e0e107f8035b32db0ec3aee65243e8bfbef3b8718ea6c","abstract_canon_sha256":"33bc7a0d6a74d13198ce8a69cc5270e054fe4556c2822a2514c5efe9bc0914a3"},"schema_version":"1.0"},"canonical_sha256":"dbe22135c140fde15af58b74a46cc04db0f45bf411d750cd48dccb94a9eb0450","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-28T01:05:17.899161Z","signature_b64":"EIvuytR3m1psnrbkB5wn1+IH95qoo0DgLLxb382dfEkvI4h1+X6klMsRYxxZyRsXy2fsOCWEylNcQ4gRPbGaAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dbe22135c140fde15af58b74a46cc04db0f45bf411d750cd48dccb94a9eb0450","last_reissued_at":"2026-05-28T01:05:17.898700Z","signature_status":"signed_v1","first_computed_at":"2026-05-28T01:05:17.898700Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.28428","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":"2026-05-28T01:05:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vjGO1GT1wQ16XiHMJHBqb1ZV62fE26hcScclWCF4o0LXguUXVGoMNTuyO2xidgaNranRhTBZV4YIe/UPuLX/CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T09:55:36.549555Z"},"content_sha256":"14860880a791fe28f386f1fc1764931865f3a57f63020e69320e017b02643bda","schema_version":"1.0","event_id":"sha256:14860880a791fe28f386f1fc1764931865f3a57f63020e69320e017b02643bda"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:3PRCCNOBID66CWXVRN2KI3GAJW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Jungwook Seo, Minjeong Kim, Seungho Shin, Sungyong Baik, Younkwan Lee","submitted_at":"2026-05-27T12:58:56Z","abstract_excerpt":"Detecting subtle visual anomalies in images remains challenging, particularly when only normal samples are available a priori. Such unsupervised anomaly detection is typically solved by measuring feature similarity of a query patch to a memory of normal patches. However, similarity alone does not reveal how strongly a query patch violates the structure of the normal feature manifold. We propose a training-free Laplacian graph energy optimization formulation, named ANoCo that scores Anomaly by the cost of Non-Conformity of a query patch to align with a fixed normal manifold. For each query patc"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.28428","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/2605.28428/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":"2026-05-28T01:05:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kmblmow7KkRClQPKq0xl0tIqPHxM6WXPM1qZ7DrCuFmtgG/dgy8uJFYpMjTOEt+DjPmedgowq6yDZSSyX8h1Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T09:55:36.550064Z"},"content_sha256":"4a208ed9c25b3fa2ad854f4696c15da0ff53afb751eed28138931cea98198933","schema_version":"1.0","event_id":"sha256:4a208ed9c25b3fa2ad854f4696c15da0ff53afb751eed28138931cea98198933"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3PRCCNOBID66CWXVRN2KI3GAJW/bundle.json","state_url":"https://pith.science/pith/3PRCCNOBID66CWXVRN2KI3GAJW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3PRCCNOBID66CWXVRN2KI3GAJW/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":"2026-08-08T09:55:36Z","links":{"resolver":"https://pith.science/pith/3PRCCNOBID66CWXVRN2KI3GAJW","bundle":"https://pith.science/pith/3PRCCNOBID66CWXVRN2KI3GAJW/bundle.json","state":"https://pith.science/pith/3PRCCNOBID66CWXVRN2KI3GAJW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3PRCCNOBID66CWXVRN2KI3GAJW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:3PRCCNOBID66CWXVRN2KI3GAJW","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":"33bc7a0d6a74d13198ce8a69cc5270e054fe4556c2822a2514c5efe9bc0914a3","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-27T12:58:56Z","title_canon_sha256":"49b320c6ad819eb1187e0e107f8035b32db0ec3aee65243e8bfbef3b8718ea6c"},"schema_version":"1.0","source":{"id":"2605.28428","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.28428","created_at":"2026-05-28T01:05:17Z"},{"alias_kind":"arxiv_version","alias_value":"2605.28428v1","created_at":"2026-05-28T01:05:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.28428","created_at":"2026-05-28T01:05:17Z"},{"alias_kind":"pith_short_12","alias_value":"3PRCCNOBID66","created_at":"2026-05-28T01:05:17Z"},{"alias_kind":"pith_short_16","alias_value":"3PRCCNOBID66CWXV","created_at":"2026-05-28T01:05:17Z"},{"alias_kind":"pith_short_8","alias_value":"3PRCCNOB","created_at":"2026-05-28T01:05:17Z"}],"graph_snapshots":[{"event_id":"sha256:4a208ed9c25b3fa2ad854f4696c15da0ff53afb751eed28138931cea98198933","target":"graph","created_at":"2026-05-28T01:05:17Z","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/2605.28428/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Detecting subtle visual anomalies in images remains challenging, particularly when only normal samples are available a priori. Such unsupervised anomaly detection is typically solved by measuring feature similarity of a query patch to a memory of normal patches. However, similarity alone does not reveal how strongly a query patch violates the structure of the normal feature manifold. We propose a training-free Laplacian graph energy optimization formulation, named ANoCo that scores Anomaly by the cost of Non-Conformity of a query patch to align with a fixed normal manifold. For each query patc","authors_text":"Jungwook Seo, Minjeong Kim, Seungho Shin, Sungyong Baik, Younkwan Lee","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-27T12:58:56Z","title":"Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.28428","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":"sha256:14860880a791fe28f386f1fc1764931865f3a57f63020e69320e017b02643bda","target":"record","created_at":"2026-05-28T01:05:17Z","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":"33bc7a0d6a74d13198ce8a69cc5270e054fe4556c2822a2514c5efe9bc0914a3","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-27T12:58:56Z","title_canon_sha256":"49b320c6ad819eb1187e0e107f8035b32db0ec3aee65243e8bfbef3b8718ea6c"},"schema_version":"1.0","source":{"id":"2605.28428","kind":"arxiv","version":1}},"canonical_sha256":"dbe22135c140fde15af58b74a46cc04db0f45bf411d750cd48dccb94a9eb0450","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dbe22135c140fde15af58b74a46cc04db0f45bf411d750cd48dccb94a9eb0450","first_computed_at":"2026-05-28T01:05:17.898700Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-28T01:05:17.898700Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EIvuytR3m1psnrbkB5wn1+IH95qoo0DgLLxb382dfEkvI4h1+X6klMsRYxxZyRsXy2fsOCWEylNcQ4gRPbGaAQ==","signature_status":"signed_v1","signed_at":"2026-05-28T01:05:17.899161Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.28428","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:14860880a791fe28f386f1fc1764931865f3a57f63020e69320e017b02643bda","sha256:4a208ed9c25b3fa2ad854f4696c15da0ff53afb751eed28138931cea98198933"],"state_sha256":"b776af510b2d7e4b9d958f928bee08bf710e9c700609643fd99c1b497207d040"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lWvCDDrLy1LGrALulSYiqqCQZXv9tXPu5zTWZ0LlGbZ72QGW0iE3Ru3DuOj2AotMV5CP6AjotpwG3KhfRXxwDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T09:55:36.555107Z","bundle_sha256":"58d49d5bbb001062d1f77b8882fcdf11fe6a2d5be919ad8ca6092ff58c889c38"}}