{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:IIETVHUNMBHAMNIZYJPHYNLEJE","short_pith_number":"pith:IIETVHUN","canonical_record":{"source":{"id":"2302.08931","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-02-17T15:14:00Z","cross_cats_sorted":[],"title_canon_sha256":"ffe8685969882d5c341d971d1beb4887f93723ebd5aeb1819d3204b197f7629a","abstract_canon_sha256":"14efa18829830436ba8ee92f955f68c97bc792aa15dcf7a4ee9f53cb859f2c7a"},"schema_version":"1.0"},"canonical_sha256":"42093a9e8d604e063519c25e7c35644938f3ade8f510882c4428b539ce23cd0b","source":{"kind":"arxiv","id":"2302.08931","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.08931","created_at":"2026-07-05T05:43:04Z"},{"alias_kind":"arxiv_version","alias_value":"2302.08931v1","created_at":"2026-07-05T05:43:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.08931","created_at":"2026-07-05T05:43:04Z"},{"alias_kind":"pith_short_12","alias_value":"IIETVHUNMBHA","created_at":"2026-07-05T05:43:04Z"},{"alias_kind":"pith_short_16","alias_value":"IIETVHUNMBHAMNIZ","created_at":"2026-07-05T05:43:04Z"},{"alias_kind":"pith_short_8","alias_value":"IIETVHUN","created_at":"2026-07-05T05:43:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:IIETVHUNMBHAMNIZYJPHYNLEJE","target":"record","payload":{"canonical_record":{"source":{"id":"2302.08931","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-02-17T15:14:00Z","cross_cats_sorted":[],"title_canon_sha256":"ffe8685969882d5c341d971d1beb4887f93723ebd5aeb1819d3204b197f7629a","abstract_canon_sha256":"14efa18829830436ba8ee92f955f68c97bc792aa15dcf7a4ee9f53cb859f2c7a"},"schema_version":"1.0"},"canonical_sha256":"42093a9e8d604e063519c25e7c35644938f3ade8f510882c4428b539ce23cd0b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:43:04.360210Z","signature_b64":"uBT2b1OaJ/4N1t3W1kTKFOHdw5k0MqyrS2jlTQKEE8WZCL/qU7XzJ34YL4KKjPwXdqBdqSGCsNkQx0AR3UxYCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"42093a9e8d604e063519c25e7c35644938f3ade8f510882c4428b539ce23cd0b","last_reissued_at":"2026-07-05T05:43:04.359768Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:43:04.359768Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2302.08931","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":"2026-07-05T05:43:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZoXYzJmQ+rL7FcNicvPwjywfnwcX9e0WW3PdbD+moVCVJYJ3lqSZ/s58xsSxbuho7yXglmNM3WPuexH/5k6JCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T06:45:21.097510Z"},"content_sha256":"a0dbc7dae7d25a1efe497be838789b23f0ae52432612c64e5a18db24926b6a5a","schema_version":"1.0","event_id":"sha256:a0dbc7dae7d25a1efe497be838789b23f0ae52432612c64e5a18db24926b6a5a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:IIETVHUNMBHAMNIZYJPHYNLEJE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LDFA: Latent Diffusion Face Anonymization for Self-driving Applications","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jannik Quehl, Kevin R\\\"osch, Martin Lauer, Marvin Klemp, Royden Wagner","submitted_at":"2023-02-17T15:14:00Z","abstract_excerpt":"In order to protect vulnerable road users (VRUs), such as pedestrians or cyclists, it is essential that intelligent transportation systems (ITS) accurately identify them. Therefore, datasets used to train perception models of ITS must contain a significant number of vulnerable road users. However, data protection regulations require that individuals are anonymized in such datasets. In this work, we introduce a novel deep learning-based pipeline for face anonymization in the context of ITS. In contrast to related methods, we do not use generative adversarial networks (GANs) but build upon recen"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.08931","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/2302.08931/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":"2026-07-05T05:43:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zJjChS6J7HbaqiAGMuwFaFsDxv3uWbU6HsqYXVOTvMd5a9YMmzGm71qhOzwhVjH9tXb4QJZUIU3nmFyLF4mBBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T06:45:21.098142Z"},"content_sha256":"c2b12587aa1d814c002313f85376a9b7d814ee3b778fb6d19d0d70ddb5c4e37c","schema_version":"1.0","event_id":"sha256:c2b12587aa1d814c002313f85376a9b7d814ee3b778fb6d19d0d70ddb5c4e37c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IIETVHUNMBHAMNIZYJPHYNLEJE/bundle.json","state_url":"https://pith.science/pith/IIETVHUNMBHAMNIZYJPHYNLEJE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IIETVHUNMBHAMNIZYJPHYNLEJE/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":"2026-07-09T06:45:21Z","links":{"resolver":"https://pith.science/pith/IIETVHUNMBHAMNIZYJPHYNLEJE","bundle":"https://pith.science/pith/IIETVHUNMBHAMNIZYJPHYNLEJE/bundle.json","state":"https://pith.science/pith/IIETVHUNMBHAMNIZYJPHYNLEJE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IIETVHUNMBHAMNIZYJPHYNLEJE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:IIETVHUNMBHAMNIZYJPHYNLEJE","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":"14efa18829830436ba8ee92f955f68c97bc792aa15dcf7a4ee9f53cb859f2c7a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-02-17T15:14:00Z","title_canon_sha256":"ffe8685969882d5c341d971d1beb4887f93723ebd5aeb1819d3204b197f7629a"},"schema_version":"1.0","source":{"id":"2302.08931","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.08931","created_at":"2026-07-05T05:43:04Z"},{"alias_kind":"arxiv_version","alias_value":"2302.08931v1","created_at":"2026-07-05T05:43:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.08931","created_at":"2026-07-05T05:43:04Z"},{"alias_kind":"pith_short_12","alias_value":"IIETVHUNMBHA","created_at":"2026-07-05T05:43:04Z"},{"alias_kind":"pith_short_16","alias_value":"IIETVHUNMBHAMNIZ","created_at":"2026-07-05T05:43:04Z"},{"alias_kind":"pith_short_8","alias_value":"IIETVHUN","created_at":"2026-07-05T05:43:04Z"}],"graph_snapshots":[{"event_id":"sha256:c2b12587aa1d814c002313f85376a9b7d814ee3b778fb6d19d0d70ddb5c4e37c","target":"graph","created_at":"2026-07-05T05:43:04Z","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/2302.08931/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In order to protect vulnerable road users (VRUs), such as pedestrians or cyclists, it is essential that intelligent transportation systems (ITS) accurately identify them. Therefore, datasets used to train perception models of ITS must contain a significant number of vulnerable road users. However, data protection regulations require that individuals are anonymized in such datasets. In this work, we introduce a novel deep learning-based pipeline for face anonymization in the context of ITS. In contrast to related methods, we do not use generative adversarial networks (GANs) but build upon recen","authors_text":"Jannik Quehl, Kevin R\\\"osch, Martin Lauer, Marvin Klemp, Royden Wagner","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-02-17T15:14:00Z","title":"LDFA: Latent Diffusion Face Anonymization for Self-driving Applications"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.08931","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:a0dbc7dae7d25a1efe497be838789b23f0ae52432612c64e5a18db24926b6a5a","target":"record","created_at":"2026-07-05T05:43:04Z","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":"14efa18829830436ba8ee92f955f68c97bc792aa15dcf7a4ee9f53cb859f2c7a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-02-17T15:14:00Z","title_canon_sha256":"ffe8685969882d5c341d971d1beb4887f93723ebd5aeb1819d3204b197f7629a"},"schema_version":"1.0","source":{"id":"2302.08931","kind":"arxiv","version":1}},"canonical_sha256":"42093a9e8d604e063519c25e7c35644938f3ade8f510882c4428b539ce23cd0b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"42093a9e8d604e063519c25e7c35644938f3ade8f510882c4428b539ce23cd0b","first_computed_at":"2026-07-05T05:43:04.359768Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:43:04.359768Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uBT2b1OaJ/4N1t3W1kTKFOHdw5k0MqyrS2jlTQKEE8WZCL/qU7XzJ34YL4KKjPwXdqBdqSGCsNkQx0AR3UxYCA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:43:04.360210Z","signed_message":"canonical_sha256_bytes"},"source_id":"2302.08931","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a0dbc7dae7d25a1efe497be838789b23f0ae52432612c64e5a18db24926b6a5a","sha256:c2b12587aa1d814c002313f85376a9b7d814ee3b778fb6d19d0d70ddb5c4e37c"],"state_sha256":"f37a4c02787d006a540b8f51ee67b83a09059eaf3847e365652b55533b13950b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FuoE0TFeZI2NcMca2xQ/zOXHK3/0vjk3IeDd7ZPZ2M9GsTW7V/W+dSM9DipQhqFkQIbUbuaCAPhWS8WjoumhDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T06:45:21.101810Z","bundle_sha256":"a5f155220831ded2259b510d620396d40aae2fb1a04c5fc153d1a6d1c54f5c3c"}}