{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:RS3V6TAE3OXL55GUILEIIZ7FED","short_pith_number":"pith:RS3V6TAE","canonical_record":{"source":{"id":"2410.06576","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-09T06:18:53Z","cross_cats_sorted":[],"title_canon_sha256":"d63b76582f86610abb7c5c379e3f710e1a7fdb016df26425addcda23210785eb","abstract_canon_sha256":"0144278371c8877f0c17e6d0a2516684de0232a58aa78864e2df25ad4fda1f15"},"schema_version":"1.0"},"canonical_sha256":"8cb75f4c04dbaebef4d442c88467e520f370d89a6969644866d30c31f5ba929d","source":{"kind":"arxiv","id":"2410.06576","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.06576","created_at":"2026-07-05T09:18:04Z"},{"alias_kind":"arxiv_version","alias_value":"2410.06576v1","created_at":"2026-07-05T09:18:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.06576","created_at":"2026-07-05T09:18:04Z"},{"alias_kind":"pith_short_12","alias_value":"RS3V6TAE3OXL","created_at":"2026-07-05T09:18:04Z"},{"alias_kind":"pith_short_16","alias_value":"RS3V6TAE3OXL55GU","created_at":"2026-07-05T09:18:04Z"},{"alias_kind":"pith_short_8","alias_value":"RS3V6TAE","created_at":"2026-07-05T09:18:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:RS3V6TAE3OXL55GUILEIIZ7FED","target":"record","payload":{"canonical_record":{"source":{"id":"2410.06576","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-09T06:18:53Z","cross_cats_sorted":[],"title_canon_sha256":"d63b76582f86610abb7c5c379e3f710e1a7fdb016df26425addcda23210785eb","abstract_canon_sha256":"0144278371c8877f0c17e6d0a2516684de0232a58aa78864e2df25ad4fda1f15"},"schema_version":"1.0"},"canonical_sha256":"8cb75f4c04dbaebef4d442c88467e520f370d89a6969644866d30c31f5ba929d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:18:04.370023Z","signature_b64":"S9JuwWVIGEfPqH1VXvt4mbfTDLouIB4ykJ5WhnAHeDkdO/Js95GAEwX3IJhw/6R3XVzDJrlYGRGLtCitXLqbAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8cb75f4c04dbaebef4d442c88467e520f370d89a6969644866d30c31f5ba929d","last_reissued_at":"2026-07-05T09:18:04.369647Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:18:04.369647Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.06576","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":"2026-07-05T09:18:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"COfLnaeheyYbnAxoJJ0JSOGkZkDX35OEMQkDSY4jpL55A6r+Kw7muh7PLrtZ2JVrNDy8PHaFxN7HZdp6+C5HDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T21:48:10.615820Z"},"content_sha256":"516b972ca90ca85835789134dce3afe968b73d0b38307b951c26bc401371df60","schema_version":"1.0","event_id":"sha256:516b972ca90ca85835789134dce3afe968b73d0b38307b951c26bc401371df60"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:RS3V6TAE3OXL55GUILEIIZ7FED","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"On The Relationship between Visual Anomaly-free and Anomalous Representations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ayush Bachan, Hrishikesh Sharma, Riya Sadrani","submitted_at":"2024-10-09T06:18:53Z","abstract_excerpt":"Anomaly Detection is an important problem within computer vision, having variety of real-life applications. Yet, the current set of solutions to this problem entail known, systematic shortcomings. Specifically, contemporary surface Anomaly Detection task assumes the presence of multiple specific anomaly classes e.g. cracks, rusting etc., unlike one-class classification model of past. However, building a deep learning model in such setup remains a challenge because anomalies arise rarely, and hence anomaly samples are quite scarce. Transfer learning has been a preferred paradigm in such situati"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.06576","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/2410.06576/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":"2026-07-05T09:18:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wG65+3byXjviou60qoLPpRFpkG5Yrgam54zIT54Iit/myV1b4xe52uhAi22fGBMSZwMrAKX1bkkwWBDLVBwzAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T21:48:10.616199Z"},"content_sha256":"15c6da46f8ce349eb91da81f988ab076b450028845dd3a301fd35a5250ab439b","schema_version":"1.0","event_id":"sha256:15c6da46f8ce349eb91da81f988ab076b450028845dd3a301fd35a5250ab439b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RS3V6TAE3OXL55GUILEIIZ7FED/bundle.json","state_url":"https://pith.science/pith/RS3V6TAE3OXL55GUILEIIZ7FED/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RS3V6TAE3OXL55GUILEIIZ7FED/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":"2026-07-06T21:48:10Z","links":{"resolver":"https://pith.science/pith/RS3V6TAE3OXL55GUILEIIZ7FED","bundle":"https://pith.science/pith/RS3V6TAE3OXL55GUILEIIZ7FED/bundle.json","state":"https://pith.science/pith/RS3V6TAE3OXL55GUILEIIZ7FED/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RS3V6TAE3OXL55GUILEIIZ7FED/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:RS3V6TAE3OXL55GUILEIIZ7FED","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":"0144278371c8877f0c17e6d0a2516684de0232a58aa78864e2df25ad4fda1f15","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-09T06:18:53Z","title_canon_sha256":"d63b76582f86610abb7c5c379e3f710e1a7fdb016df26425addcda23210785eb"},"schema_version":"1.0","source":{"id":"2410.06576","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.06576","created_at":"2026-07-05T09:18:04Z"},{"alias_kind":"arxiv_version","alias_value":"2410.06576v1","created_at":"2026-07-05T09:18:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.06576","created_at":"2026-07-05T09:18:04Z"},{"alias_kind":"pith_short_12","alias_value":"RS3V6TAE3OXL","created_at":"2026-07-05T09:18:04Z"},{"alias_kind":"pith_short_16","alias_value":"RS3V6TAE3OXL55GU","created_at":"2026-07-05T09:18:04Z"},{"alias_kind":"pith_short_8","alias_value":"RS3V6TAE","created_at":"2026-07-05T09:18:04Z"}],"graph_snapshots":[{"event_id":"sha256:15c6da46f8ce349eb91da81f988ab076b450028845dd3a301fd35a5250ab439b","target":"graph","created_at":"2026-07-05T09:18:04Z","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/2410.06576/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Anomaly Detection is an important problem within computer vision, having variety of real-life applications. Yet, the current set of solutions to this problem entail known, systematic shortcomings. Specifically, contemporary surface Anomaly Detection task assumes the presence of multiple specific anomaly classes e.g. cracks, rusting etc., unlike one-class classification model of past. However, building a deep learning model in such setup remains a challenge because anomalies arise rarely, and hence anomaly samples are quite scarce. Transfer learning has been a preferred paradigm in such situati","authors_text":"Ayush Bachan, Hrishikesh Sharma, Riya Sadrani","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-09T06:18:53Z","title":"On The Relationship between Visual Anomaly-free and Anomalous Representations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.06576","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":"sha256:516b972ca90ca85835789134dce3afe968b73d0b38307b951c26bc401371df60","target":"record","created_at":"2026-07-05T09:18:04Z","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":"0144278371c8877f0c17e6d0a2516684de0232a58aa78864e2df25ad4fda1f15","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-09T06:18:53Z","title_canon_sha256":"d63b76582f86610abb7c5c379e3f710e1a7fdb016df26425addcda23210785eb"},"schema_version":"1.0","source":{"id":"2410.06576","kind":"arxiv","version":1}},"canonical_sha256":"8cb75f4c04dbaebef4d442c88467e520f370d89a6969644866d30c31f5ba929d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8cb75f4c04dbaebef4d442c88467e520f370d89a6969644866d30c31f5ba929d","first_computed_at":"2026-07-05T09:18:04.369647Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:18:04.369647Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"S9JuwWVIGEfPqH1VXvt4mbfTDLouIB4ykJ5WhnAHeDkdO/Js95GAEwX3IJhw/6R3XVzDJrlYGRGLtCitXLqbAA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:18:04.370023Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.06576","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:516b972ca90ca85835789134dce3afe968b73d0b38307b951c26bc401371df60","sha256:15c6da46f8ce349eb91da81f988ab076b450028845dd3a301fd35a5250ab439b"],"state_sha256":"18005b2ae7cd4ee2e3f1354dfd62b2db26d7b16bab9e38db1100c12c32d40e0c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jhYG32L/W4qX/B1395b0x041pYEGfmDDwInFBHMQAuOewFb8VfHoWlqVz5CQ4sQZSZep6KY4rymbWxHkItHcBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T21:48:10.618585Z","bundle_sha256":"35df2deaf8f5b16358b500ea7478eeb645b0381e60821348640ca8199931de8f"}}