{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:JXJYNMSMXFLATHBVYRUPLRP2RB","short_pith_number":"pith:JXJYNMSM","canonical_record":{"source":{"id":"2505.15863","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-21T07:59:18Z","cross_cats_sorted":["cs.AI","cs.RO"],"title_canon_sha256":"9e559a7b9ac2718f6969bc0f29b6d96c5dc390dc817a0a728e8aa96a1f4152b4","abstract_canon_sha256":"709bc6701662a165f5523ab46f91c2ad2b0ae1076ac92cc570978302830575b4"},"schema_version":"1.0"},"canonical_sha256":"4dd386b24cb956099c35c468f5c5fa884773cea213de18274b410d5d27fed00b","source":{"kind":"arxiv","id":"2505.15863","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.15863","created_at":"2026-07-05T11:07:26Z"},{"alias_kind":"arxiv_version","alias_value":"2505.15863v1","created_at":"2026-07-05T11:07:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.15863","created_at":"2026-07-05T11:07:26Z"},{"alias_kind":"pith_short_12","alias_value":"JXJYNMSMXFLA","created_at":"2026-07-05T11:07:26Z"},{"alias_kind":"pith_short_16","alias_value":"JXJYNMSMXFLATHBV","created_at":"2026-07-05T11:07:26Z"},{"alias_kind":"pith_short_8","alias_value":"JXJYNMSM","created_at":"2026-07-05T11:07:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:JXJYNMSMXFLATHBVYRUPLRP2RB","target":"record","payload":{"canonical_record":{"source":{"id":"2505.15863","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-21T07:59:18Z","cross_cats_sorted":["cs.AI","cs.RO"],"title_canon_sha256":"9e559a7b9ac2718f6969bc0f29b6d96c5dc390dc817a0a728e8aa96a1f4152b4","abstract_canon_sha256":"709bc6701662a165f5523ab46f91c2ad2b0ae1076ac92cc570978302830575b4"},"schema_version":"1.0"},"canonical_sha256":"4dd386b24cb956099c35c468f5c5fa884773cea213de18274b410d5d27fed00b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:07:26.618141Z","signature_b64":"KrcHy91rnWDgMQAsPwN5Rp9TXmI7Z7Jk7lOJ1Xq2Q1Q/9/npjOe+37cRCZgAHnPuWroCRj04rTGFVLYSSu00AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4dd386b24cb956099c35c468f5c5fa884773cea213de18274b410d5d27fed00b","last_reissued_at":"2026-07-05T11:07:26.617641Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:07:26.617641Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.15863","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":"2026-07-05T11:07:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nxlt+/bicR5GcQCbwZr8Dva0hXmi7UU+JWyN2aM1EZPh8fk6/lliLl7Sybs6ineQRkw9LE3gUcRi/Njxu23pBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T15:56:42.778984Z"},"content_sha256":"1f42f006d4384fc16f7cd9e67cd7e7d2861da1675bae4f8d4560f71afe70c725","schema_version":"1.0","event_id":"sha256:1f42f006d4384fc16f7cd9e67cd7e7d2861da1675bae4f8d4560f71afe70c725"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:JXJYNMSMXFLATHBVYRUPLRP2RB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Generative AI for Autonomous Driving: A Review","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.RO"],"primary_cat":"cs.CV","authors_text":"Abhishek Vivekanandan, Adam Molin, Annajoyce Mariani, Bojan Derajic, Christian Schlauch, Christian Wirth, Dennis Rochau, Fabian B. Flohr, Firas Mualla, Giovanni Lucente, Hanno Gottschalk, Harsh Yadav, Katharina Winter, Mohamed-Khalil Bouzidi, Nadja Klein, Natalie Grabowsky, \\\"Omer \\c{S}ahin Ta\\c{s}, Rupert Polley, Sebastian Bernhard, Yinzhe Shen","submitted_at":"2025-05-21T07:59:18Z","abstract_excerpt":"Generative AI (GenAI) is rapidly advancing the field of Autonomous Driving (AD), extending beyond traditional applications in text, image, and video generation. We explore how generative models can enhance automotive tasks, such as static map creation, dynamic scenario generation, trajectory forecasting, and vehicle motion planning. By examining multiple generative approaches ranging from Variational Autoencoder (VAEs) over Generative Adversarial Networks (GANs) and Invertible Neural Networks (INNs) to Generative Transformers (GTs) and Diffusion Models (DMs), we highlight and compare their cap"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.15863","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/2505.15863/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":"2026-07-05T11:07:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dsUWWIvFcfELwjR3rfjI4rtvA0e/4tbtbQ4Z9agyYvxB6xIlXFVhUgB5mdZh6MiSzqYedp+2HjBzldEYOdo1BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T15:56:42.779381Z"},"content_sha256":"33686e3c91ac114cbe53d63bed689537e5be83f23b523da582a05c2080ee3d2f","schema_version":"1.0","event_id":"sha256:33686e3c91ac114cbe53d63bed689537e5be83f23b523da582a05c2080ee3d2f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JXJYNMSMXFLATHBVYRUPLRP2RB/bundle.json","state_url":"https://pith.science/pith/JXJYNMSMXFLATHBVYRUPLRP2RB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JXJYNMSMXFLATHBVYRUPLRP2RB/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":"2026-07-08T15:56:42Z","links":{"resolver":"https://pith.science/pith/JXJYNMSMXFLATHBVYRUPLRP2RB","bundle":"https://pith.science/pith/JXJYNMSMXFLATHBVYRUPLRP2RB/bundle.json","state":"https://pith.science/pith/JXJYNMSMXFLATHBVYRUPLRP2RB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JXJYNMSMXFLATHBVYRUPLRP2RB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:JXJYNMSMXFLATHBVYRUPLRP2RB","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":"709bc6701662a165f5523ab46f91c2ad2b0ae1076ac92cc570978302830575b4","cross_cats_sorted":["cs.AI","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-21T07:59:18Z","title_canon_sha256":"9e559a7b9ac2718f6969bc0f29b6d96c5dc390dc817a0a728e8aa96a1f4152b4"},"schema_version":"1.0","source":{"id":"2505.15863","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.15863","created_at":"2026-07-05T11:07:26Z"},{"alias_kind":"arxiv_version","alias_value":"2505.15863v1","created_at":"2026-07-05T11:07:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.15863","created_at":"2026-07-05T11:07:26Z"},{"alias_kind":"pith_short_12","alias_value":"JXJYNMSMXFLA","created_at":"2026-07-05T11:07:26Z"},{"alias_kind":"pith_short_16","alias_value":"JXJYNMSMXFLATHBV","created_at":"2026-07-05T11:07:26Z"},{"alias_kind":"pith_short_8","alias_value":"JXJYNMSM","created_at":"2026-07-05T11:07:26Z"}],"graph_snapshots":[{"event_id":"sha256:33686e3c91ac114cbe53d63bed689537e5be83f23b523da582a05c2080ee3d2f","target":"graph","created_at":"2026-07-05T11:07:26Z","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/2505.15863/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Generative AI (GenAI) is rapidly advancing the field of Autonomous Driving (AD), extending beyond traditional applications in text, image, and video generation. We explore how generative models can enhance automotive tasks, such as static map creation, dynamic scenario generation, trajectory forecasting, and vehicle motion planning. By examining multiple generative approaches ranging from Variational Autoencoder (VAEs) over Generative Adversarial Networks (GANs) and Invertible Neural Networks (INNs) to Generative Transformers (GTs) and Diffusion Models (DMs), we highlight and compare their cap","authors_text":"Abhishek Vivekanandan, Adam Molin, Annajoyce Mariani, Bojan Derajic, Christian Schlauch, Christian Wirth, Dennis Rochau, Fabian B. Flohr, Firas Mualla, Giovanni Lucente, Hanno Gottschalk, Harsh Yadav, Katharina Winter, Mohamed-Khalil Bouzidi, Nadja Klein, Natalie Grabowsky, \\\"Omer \\c{S}ahin Ta\\c{s}, Rupert Polley, Sebastian Bernhard, Yinzhe Shen","cross_cats":["cs.AI","cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-21T07:59:18Z","title":"Generative AI for Autonomous Driving: A Review"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.15863","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":"sha256:1f42f006d4384fc16f7cd9e67cd7e7d2861da1675bae4f8d4560f71afe70c725","target":"record","created_at":"2026-07-05T11:07:26Z","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":"709bc6701662a165f5523ab46f91c2ad2b0ae1076ac92cc570978302830575b4","cross_cats_sorted":["cs.AI","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-21T07:59:18Z","title_canon_sha256":"9e559a7b9ac2718f6969bc0f29b6d96c5dc390dc817a0a728e8aa96a1f4152b4"},"schema_version":"1.0","source":{"id":"2505.15863","kind":"arxiv","version":1}},"canonical_sha256":"4dd386b24cb956099c35c468f5c5fa884773cea213de18274b410d5d27fed00b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4dd386b24cb956099c35c468f5c5fa884773cea213de18274b410d5d27fed00b","first_computed_at":"2026-07-05T11:07:26.617641Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:07:26.617641Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KrcHy91rnWDgMQAsPwN5Rp9TXmI7Z7Jk7lOJ1Xq2Q1Q/9/npjOe+37cRCZgAHnPuWroCRj04rTGFVLYSSu00AQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:07:26.618141Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.15863","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1f42f006d4384fc16f7cd9e67cd7e7d2861da1675bae4f8d4560f71afe70c725","sha256:33686e3c91ac114cbe53d63bed689537e5be83f23b523da582a05c2080ee3d2f"],"state_sha256":"aac53001012097a2f03014e511ade16a767d0a5dc52c1dd1eb1f0e9fd5bdb153"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4Yc3iSHX/14+tjLYAjRz6Ps6tCvrG1z/HglWK/h/r+WYEVBQ16TZQSHoiOEGGHSy/hzA3ILAuGlANPDY8719Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-08T15:56:42.781577Z","bundle_sha256":"aa9fb7aee6e5b37784aa3f5a63abd26fa6e6e8b3ea507611cad255117d44f071"}}