{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:WF3337TQ4JAQS7JH4CNOZ6FWNH","short_pith_number":"pith:WF3337TQ","canonical_record":{"source":{"id":"2501.07334","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-01-13T13:47:00Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"571f452aca5251cdcde3080dfc1c068e0f493f36f5b4fa88a452f7e540b85948","abstract_canon_sha256":"acd1b0375a4c32137a45ce578b40217b1cbf89ff972014ce3e71c78c25ecc2db"},"schema_version":"1.0"},"canonical_sha256":"b177bdfe70e241097d27e09aecf8b669dd2b7eddab0e79875c5bfbc61f0d7ee2","source":{"kind":"arxiv","id":"2501.07334","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.07334","created_at":"2026-07-05T10:00:19Z"},{"alias_kind":"arxiv_version","alias_value":"2501.07334v1","created_at":"2026-07-05T10:00:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.07334","created_at":"2026-07-05T10:00:19Z"},{"alias_kind":"pith_short_12","alias_value":"WF3337TQ4JAQ","created_at":"2026-07-05T10:00:19Z"},{"alias_kind":"pith_short_16","alias_value":"WF3337TQ4JAQS7JH","created_at":"2026-07-05T10:00:19Z"},{"alias_kind":"pith_short_8","alias_value":"WF3337TQ","created_at":"2026-07-05T10:00:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:WF3337TQ4JAQS7JH4CNOZ6FWNH","target":"record","payload":{"canonical_record":{"source":{"id":"2501.07334","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-01-13T13:47:00Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"571f452aca5251cdcde3080dfc1c068e0f493f36f5b4fa88a452f7e540b85948","abstract_canon_sha256":"acd1b0375a4c32137a45ce578b40217b1cbf89ff972014ce3e71c78c25ecc2db"},"schema_version":"1.0"},"canonical_sha256":"b177bdfe70e241097d27e09aecf8b669dd2b7eddab0e79875c5bfbc61f0d7ee2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:00:19.018853Z","signature_b64":"PJPZZY1f9saihIEaLkZ+Ey48ozbvh8g3KDWizU6Mj/0E8C0xEo1fm4Kdg6Z07AMee7S2turweeq4rouaPPZOCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b177bdfe70e241097d27e09aecf8b669dd2b7eddab0e79875c5bfbc61f0d7ee2","last_reissued_at":"2026-07-05T10:00:19.018387Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:00:19.018387Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.07334","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":"2026-07-05T10:00:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"x6Z02yvbYFmnOM98ZHg6aca0IRDO3zzENv41FOHXpMsd5DSlO8ZD3eKoCsOl0AtBjkx5KCd0fAqCJ2kOd08JCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T04:02:40.380056Z"},"content_sha256":"1440aba00235c5a60b4e3d56619ec6507a9c4eb8d32badbf6447bc82edb55400","schema_version":"1.0","event_id":"sha256:1440aba00235c5a60b4e3d56619ec6507a9c4eb8d32badbf6447bc82edb55400"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:WF3337TQ4JAQS7JH4CNOZ6FWNH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Anonymization of Documents for Law Enforcement with Machine Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.AI","authors_text":"Daniel Grie{\\ss}haber, Johannes Maucher, Manuel Eberhardinger, Patrick Takenaka","submitted_at":"2025-01-13T13:47:00Z","abstract_excerpt":"The steadily increasing utilization of data-driven methods and approaches in areas that handle sensitive personal information such as in law enforcement mandates an ever increasing effort in these institutions to comply with data protection guidelines. In this work, we present a system for automatically anonymizing images of scanned documents, reducing manual effort while ensuring data protection compliance. Our method considers the viability of further forensic processing after anonymization by minimizing automatically redacted areas by combining automatic detection of sensitive regions with "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.07334","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/2501.07334/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":"2026-07-05T10:00:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9Yr0jxGVt6m2vjy3yIsKNQBfJjb1qLL2jMWwHMT6VkQWcYoq6J2XjDumYMQoc+N0yFE6+br7ibZxhnft7DS2Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T04:02:40.380622Z"},"content_sha256":"709a17b14c4be3fd6c4b32c707fe536fbd5d64cc91ced11fd3eaa0a9d3daa165","schema_version":"1.0","event_id":"sha256:709a17b14c4be3fd6c4b32c707fe536fbd5d64cc91ced11fd3eaa0a9d3daa165"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WF3337TQ4JAQS7JH4CNOZ6FWNH/bundle.json","state_url":"https://pith.science/pith/WF3337TQ4JAQS7JH4CNOZ6FWNH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WF3337TQ4JAQS7JH4CNOZ6FWNH/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":"2026-08-07T04:02:40Z","links":{"resolver":"https://pith.science/pith/WF3337TQ4JAQS7JH4CNOZ6FWNH","bundle":"https://pith.science/pith/WF3337TQ4JAQS7JH4CNOZ6FWNH/bundle.json","state":"https://pith.science/pith/WF3337TQ4JAQS7JH4CNOZ6FWNH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WF3337TQ4JAQS7JH4CNOZ6FWNH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:WF3337TQ4JAQS7JH4CNOZ6FWNH","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":"acd1b0375a4c32137a45ce578b40217b1cbf89ff972014ce3e71c78c25ecc2db","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-01-13T13:47:00Z","title_canon_sha256":"571f452aca5251cdcde3080dfc1c068e0f493f36f5b4fa88a452f7e540b85948"},"schema_version":"1.0","source":{"id":"2501.07334","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.07334","created_at":"2026-07-05T10:00:19Z"},{"alias_kind":"arxiv_version","alias_value":"2501.07334v1","created_at":"2026-07-05T10:00:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.07334","created_at":"2026-07-05T10:00:19Z"},{"alias_kind":"pith_short_12","alias_value":"WF3337TQ4JAQ","created_at":"2026-07-05T10:00:19Z"},{"alias_kind":"pith_short_16","alias_value":"WF3337TQ4JAQS7JH","created_at":"2026-07-05T10:00:19Z"},{"alias_kind":"pith_short_8","alias_value":"WF3337TQ","created_at":"2026-07-05T10:00:19Z"}],"graph_snapshots":[{"event_id":"sha256:709a17b14c4be3fd6c4b32c707fe536fbd5d64cc91ced11fd3eaa0a9d3daa165","target":"graph","created_at":"2026-07-05T10:00:19Z","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/2501.07334/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The steadily increasing utilization of data-driven methods and approaches in areas that handle sensitive personal information such as in law enforcement mandates an ever increasing effort in these institutions to comply with data protection guidelines. In this work, we present a system for automatically anonymizing images of scanned documents, reducing manual effort while ensuring data protection compliance. Our method considers the viability of further forensic processing after anonymization by minimizing automatically redacted areas by combining automatic detection of sensitive regions with ","authors_text":"Daniel Grie{\\ss}haber, Johannes Maucher, Manuel Eberhardinger, Patrick Takenaka","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-01-13T13:47:00Z","title":"Anonymization of Documents for Law Enforcement with Machine Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.07334","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":"sha256:1440aba00235c5a60b4e3d56619ec6507a9c4eb8d32badbf6447bc82edb55400","target":"record","created_at":"2026-07-05T10:00:19Z","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":"acd1b0375a4c32137a45ce578b40217b1cbf89ff972014ce3e71c78c25ecc2db","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-01-13T13:47:00Z","title_canon_sha256":"571f452aca5251cdcde3080dfc1c068e0f493f36f5b4fa88a452f7e540b85948"},"schema_version":"1.0","source":{"id":"2501.07334","kind":"arxiv","version":1}},"canonical_sha256":"b177bdfe70e241097d27e09aecf8b669dd2b7eddab0e79875c5bfbc61f0d7ee2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b177bdfe70e241097d27e09aecf8b669dd2b7eddab0e79875c5bfbc61f0d7ee2","first_computed_at":"2026-07-05T10:00:19.018387Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:00:19.018387Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PJPZZY1f9saihIEaLkZ+Ey48ozbvh8g3KDWizU6Mj/0E8C0xEo1fm4Kdg6Z07AMee7S2turweeq4rouaPPZOCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:00:19.018853Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.07334","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1440aba00235c5a60b4e3d56619ec6507a9c4eb8d32badbf6447bc82edb55400","sha256:709a17b14c4be3fd6c4b32c707fe536fbd5d64cc91ced11fd3eaa0a9d3daa165"],"state_sha256":"0f08db8832924738c7ebff9c517eb1ade8898e3a12c226f6da09c03449a02d38"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0LkaEN9coKjvEqBfmCo94GPxVq7XMXkCVhiUr0CKXmLsZT7CBFQ1Q2EO7ufzZzPUHfqXiE4+b+kw+JNzSA3UDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T04:02:40.384208Z","bundle_sha256":"5c29fe772d890bad9a6782d0e26ac564625d2c6151b97c196371a5282437a0e3"}}