{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:FVMGHTNHMH2VX7ZTJ34QRVTONJ","short_pith_number":"pith:FVMGHTNH","canonical_record":{"source":{"id":"2305.17137","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-05-15T09:09:40Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"70d0ce133abf60783fb5479a726b663fdc43f44d5a2ae646a2abe5dc17b2cbb1","abstract_canon_sha256":"c31afb23ac4674309d93b2bbc66b0b7d350554f19ba16e090b052bbb1221aed0"},"schema_version":"1.0"},"canonical_sha256":"2d5863cda761f55bff334ef908d66e6a6f4fdc1fbf11f75b2f75f67681fd753f","source":{"kind":"arxiv","id":"2305.17137","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.17137","created_at":"2026-07-05T06:14:24Z"},{"alias_kind":"arxiv_version","alias_value":"2305.17137v1","created_at":"2026-07-05T06:14:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.17137","created_at":"2026-07-05T06:14:24Z"},{"alias_kind":"pith_short_12","alias_value":"FVMGHTNHMH2V","created_at":"2026-07-05T06:14:24Z"},{"alias_kind":"pith_short_16","alias_value":"FVMGHTNHMH2VX7ZT","created_at":"2026-07-05T06:14:24Z"},{"alias_kind":"pith_short_8","alias_value":"FVMGHTNH","created_at":"2026-07-05T06:14:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:FVMGHTNHMH2VX7ZTJ34QRVTONJ","target":"record","payload":{"canonical_record":{"source":{"id":"2305.17137","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-05-15T09:09:40Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"70d0ce133abf60783fb5479a726b663fdc43f44d5a2ae646a2abe5dc17b2cbb1","abstract_canon_sha256":"c31afb23ac4674309d93b2bbc66b0b7d350554f19ba16e090b052bbb1221aed0"},"schema_version":"1.0"},"canonical_sha256":"2d5863cda761f55bff334ef908d66e6a6f4fdc1fbf11f75b2f75f67681fd753f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:14:24.650065Z","signature_b64":"FJrkFJ4n1eKToY+3Uj1ExrG9CNiWlqkwI15nPnkVy3Ih5t2jTKZF78Zp/sagkHFeSdBmmgNDSpCxqXo8mlqqCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2d5863cda761f55bff334ef908d66e6a6f4fdc1fbf11f75b2f75f67681fd753f","last_reissued_at":"2026-07-05T06:14:24.649590Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:14:24.649590Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.17137","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":"2026-07-05T06:14:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QiKvDVPjJVXdG3LVdz5ydyvvqCPEEWco6wBlwL9NjF9godvUxiakqEDjwFnYuOVFrQfpPE/G4cfgAGMPGCQeCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T18:08:19.826284Z"},"content_sha256":"d9f3ef9abb5c987ca9929ec62ad44f760736319d2c33ebbb67565b232e3ecff2","schema_version":"1.0","event_id":"sha256:d9f3ef9abb5c987ca9929ec62ad44f760736319d2c33ebbb67565b232e3ecff2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:FVMGHTNHMH2VX7ZTJ34QRVTONJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Integrating Generative Artificial Intelligence in Intelligent Vehicle Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.AI","authors_text":"Bj\\\"orn W. Schuller, Hans-J\\\"org V\\\"ogel, Jeremy Dillmann, Lukas Stappen, Nicolas Flores-Herr, Serena Striegel","submitted_at":"2023-05-15T09:09:40Z","abstract_excerpt":"This paper aims to serve as a comprehensive guide for researchers and practitioners, offering insights into the current state, potential applications, and future research directions for generative artificial intelligence and foundation models within the context of intelligent vehicles. As the automotive industry progressively integrates AI, generative artificial intelligence technologies hold the potential to revolutionize user interactions, delivering more immersive, intuitive, and personalised in-car experiences. We provide an overview of current applications of generative artificial intelli"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.17137","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/2305.17137/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":"2026-07-05T06:14:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XirBogEQWWL3O5ifDi11soGh6C2VoifTba0e+9zA3kvY2IraOkQ9ggGr0KHKCAh525VH34mWDHgjtnFOQuzbBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T18:08:19.826677Z"},"content_sha256":"ef7872678d3b5312bc1c19b77ea1e9dad95e85e1b628cf47618b7b56d4ceec01","schema_version":"1.0","event_id":"sha256:ef7872678d3b5312bc1c19b77ea1e9dad95e85e1b628cf47618b7b56d4ceec01"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FVMGHTNHMH2VX7ZTJ34QRVTONJ/bundle.json","state_url":"https://pith.science/pith/FVMGHTNHMH2VX7ZTJ34QRVTONJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FVMGHTNHMH2VX7ZTJ34QRVTONJ/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":"2026-07-06T18:08:19Z","links":{"resolver":"https://pith.science/pith/FVMGHTNHMH2VX7ZTJ34QRVTONJ","bundle":"https://pith.science/pith/FVMGHTNHMH2VX7ZTJ34QRVTONJ/bundle.json","state":"https://pith.science/pith/FVMGHTNHMH2VX7ZTJ34QRVTONJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FVMGHTNHMH2VX7ZTJ34QRVTONJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:FVMGHTNHMH2VX7ZTJ34QRVTONJ","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":"c31afb23ac4674309d93b2bbc66b0b7d350554f19ba16e090b052bbb1221aed0","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-05-15T09:09:40Z","title_canon_sha256":"70d0ce133abf60783fb5479a726b663fdc43f44d5a2ae646a2abe5dc17b2cbb1"},"schema_version":"1.0","source":{"id":"2305.17137","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.17137","created_at":"2026-07-05T06:14:24Z"},{"alias_kind":"arxiv_version","alias_value":"2305.17137v1","created_at":"2026-07-05T06:14:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.17137","created_at":"2026-07-05T06:14:24Z"},{"alias_kind":"pith_short_12","alias_value":"FVMGHTNHMH2V","created_at":"2026-07-05T06:14:24Z"},{"alias_kind":"pith_short_16","alias_value":"FVMGHTNHMH2VX7ZT","created_at":"2026-07-05T06:14:24Z"},{"alias_kind":"pith_short_8","alias_value":"FVMGHTNH","created_at":"2026-07-05T06:14:24Z"}],"graph_snapshots":[{"event_id":"sha256:ef7872678d3b5312bc1c19b77ea1e9dad95e85e1b628cf47618b7b56d4ceec01","target":"graph","created_at":"2026-07-05T06:14:24Z","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/2305.17137/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper aims to serve as a comprehensive guide for researchers and practitioners, offering insights into the current state, potential applications, and future research directions for generative artificial intelligence and foundation models within the context of intelligent vehicles. As the automotive industry progressively integrates AI, generative artificial intelligence technologies hold the potential to revolutionize user interactions, delivering more immersive, intuitive, and personalised in-car experiences. We provide an overview of current applications of generative artificial intelli","authors_text":"Bj\\\"orn W. Schuller, Hans-J\\\"org V\\\"ogel, Jeremy Dillmann, Lukas Stappen, Nicolas Flores-Herr, Serena Striegel","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-05-15T09:09:40Z","title":"Integrating Generative Artificial Intelligence in Intelligent Vehicle Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.17137","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:d9f3ef9abb5c987ca9929ec62ad44f760736319d2c33ebbb67565b232e3ecff2","target":"record","created_at":"2026-07-05T06:14:24Z","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":"c31afb23ac4674309d93b2bbc66b0b7d350554f19ba16e090b052bbb1221aed0","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-05-15T09:09:40Z","title_canon_sha256":"70d0ce133abf60783fb5479a726b663fdc43f44d5a2ae646a2abe5dc17b2cbb1"},"schema_version":"1.0","source":{"id":"2305.17137","kind":"arxiv","version":1}},"canonical_sha256":"2d5863cda761f55bff334ef908d66e6a6f4fdc1fbf11f75b2f75f67681fd753f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2d5863cda761f55bff334ef908d66e6a6f4fdc1fbf11f75b2f75f67681fd753f","first_computed_at":"2026-07-05T06:14:24.649590Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:14:24.649590Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FJrkFJ4n1eKToY+3Uj1ExrG9CNiWlqkwI15nPnkVy3Ih5t2jTKZF78Zp/sagkHFeSdBmmgNDSpCxqXo8mlqqCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:14:24.650065Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.17137","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d9f3ef9abb5c987ca9929ec62ad44f760736319d2c33ebbb67565b232e3ecff2","sha256:ef7872678d3b5312bc1c19b77ea1e9dad95e85e1b628cf47618b7b56d4ceec01"],"state_sha256":"2f5472a1e81bdf832cb4bbdf17394f16527dc3afb4afcf2bb94277ae46ce99c7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xK3ohbDKHOSGs0cCpzXAqc/G4NFUMcqBJonhHlauHEIkNrU8WtDu8HFcyYUJ4uxXKUmDQYL01wxO6IY2oYF2Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T18:08:19.828614Z","bundle_sha256":"8d0ac00fac3d8f6bf46ee740a721b942b28bcb75720ca0c1ec1061873e5979b2"}}