{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:AZBENW3562PNJ6BHRL5C545GXQ","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":"a425d80180260d06f80c7e952eee48dd37340c200c95e9dae9c85de3a4ec514d","cross_cats_sorted":["cs.AI","cs.LG","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-11T18:59:51Z","title_canon_sha256":"d425727a0655bd905c8431a9097c27c8c64fe62fbdde97ba3073a36831f9fbf3"},"schema_version":"1.0","source":{"id":"2412.08643","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.08643","created_at":"2026-07-05T09:47:52Z"},{"alias_kind":"arxiv_version","alias_value":"2412.08643v1","created_at":"2026-07-05T09:47:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.08643","created_at":"2026-07-05T09:47:52Z"},{"alias_kind":"pith_short_12","alias_value":"AZBENW3562PN","created_at":"2026-07-05T09:47:52Z"},{"alias_kind":"pith_short_16","alias_value":"AZBENW3562PNJ6BH","created_at":"2026-07-05T09:47:52Z"},{"alias_kind":"pith_short_8","alias_value":"AZBENW35","created_at":"2026-07-05T09:47:52Z"}],"graph_snapshots":[{"event_id":"sha256:035ee0767c598e051e8c11c5e04e2f45f2ba26586e76fc09dec38700c04a934b","target":"graph","created_at":"2026-07-05T09:47:52Z","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/2412.08643/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Modeling the evolutions of driving scenarios is important for the evaluation and decision-making of autonomous driving systems. Most existing methods focus on one aspect of scene evolution such as map generation, motion prediction, and trajectory planning. In this paper, we propose a unified Generative Pre-training for Driving (GPD-1) model to accomplish all these tasks altogether without additional fine-tuning. We represent each scene with ego, agent, and map tokens and formulate autonomous driving as a unified token generation problem. We adopt the autoregressive transformer architecture and","authors_text":"Dalong Du, Jie Zhou, Jiwen Lu, Shanghang Zhang, Sicheng Zuo, Wenzhao Zheng, Yunpeng Zhang, Zixun Xie","cross_cats":["cs.AI","cs.LG","cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-11T18:59:51Z","title":"GPD-1: Generative Pre-training for Driving"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.08643","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":"sha256:4f728684aedc852965255b8da7a09c34be7e4a45bd462cc0611aa21d754ac77a","target":"record","created_at":"2026-07-05T09:47:52Z","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":"a425d80180260d06f80c7e952eee48dd37340c200c95e9dae9c85de3a4ec514d","cross_cats_sorted":["cs.AI","cs.LG","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-11T18:59:51Z","title_canon_sha256":"d425727a0655bd905c8431a9097c27c8c64fe62fbdde97ba3073a36831f9fbf3"},"schema_version":"1.0","source":{"id":"2412.08643","kind":"arxiv","version":1}},"canonical_sha256":"064246db7df69ed4f8278afa2ef3a6bc23c190580586892597afcf3ee9426980","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"064246db7df69ed4f8278afa2ef3a6bc23c190580586892597afcf3ee9426980","first_computed_at":"2026-07-05T09:47:52.852270Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:47:52.852270Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"osYc5otDmm+qMQrjwfeuhjLDhRdYEhDndYiey/018cvRYwioj9GmIhczMh8rDdjG+SXPB/O9skixUeGWx+kgDw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:47:52.852756Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.08643","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4f728684aedc852965255b8da7a09c34be7e4a45bd462cc0611aa21d754ac77a","sha256:035ee0767c598e051e8c11c5e04e2f45f2ba26586e76fc09dec38700c04a934b"],"state_sha256":"71261768160857c978d1c108a816b1a34e9570b165ac53dc0321f59a2267a659"}