{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:63B7TIUR7CMSE7VCOGHYAAMBIW","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":"0be12429572842dd17af1afbcc8b9c7864f504822a23a2fa27002a0b8f017250","cross_cats_sorted":["cs.DC","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2024-12-21T19:53:38Z","title_canon_sha256":"684071320e6c34149bae4845cff749109fdb161e433beabc2ff999816809b453"},"schema_version":"1.0","source":{"id":"2412.16750","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.16750","created_at":"2026-07-05T10:15:48Z"},{"alias_kind":"arxiv_version","alias_value":"2412.16750v2","created_at":"2026-07-05T10:15:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.16750","created_at":"2026-07-05T10:15:48Z"},{"alias_kind":"pith_short_12","alias_value":"63B7TIUR7CMS","created_at":"2026-07-05T10:15:48Z"},{"alias_kind":"pith_short_16","alias_value":"63B7TIUR7CMSE7VC","created_at":"2026-07-05T10:15:48Z"},{"alias_kind":"pith_short_8","alias_value":"63B7TIUR","created_at":"2026-07-05T10:15:48Z"}],"graph_snapshots":[{"event_id":"sha256:7f0b59fe79056de880a21a35a9b04a370a19c14667e1c48ae498ce87718b4f42","target":"graph","created_at":"2026-07-05T10:15:48Z","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/2412.16750/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present a parallelized differentiable traffic simulator based on the Intelligent Driver Model (IDM), a car-following framework that incorporates driver behavior as key variables. Our vehicle simulator efficiently models vehicle motion, generating trajectories that can be supervised to fit real-world data. By leveraging its differentiable nature, IDM parameters are optimized using gradient-based methods. With the capability to simulate up to 2 million vehicles in real time, the system is scalable for large-scale trajectory optimization. We show that we can use the simulator to filter noise i","authors_text":"Brian Clipp, Connor Greenwell, Laura Zheng, Ming C. Lin, Sanghyun Son, Sujin Philip","cross_cats":["cs.DC","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2024-12-21T19:53:38Z","title":"Gradient-based Trajectory Optimization with Parallelized Differentiable Traffic Simulation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.16750","kind":"arxiv","version":2},"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:cf71df2f441495c4e1c58981252922f655d8b4e4fb82c231f9a54b00579597da","target":"record","created_at":"2026-07-05T10:15:48Z","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":"0be12429572842dd17af1afbcc8b9c7864f504822a23a2fa27002a0b8f017250","cross_cats_sorted":["cs.DC","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2024-12-21T19:53:38Z","title_canon_sha256":"684071320e6c34149bae4845cff749109fdb161e433beabc2ff999816809b453"},"schema_version":"1.0","source":{"id":"2412.16750","kind":"arxiv","version":2}},"canonical_sha256":"f6c3f9a291f899227ea2718f80018145b1138a9d90db93c91c0dc121a007e3cb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f6c3f9a291f899227ea2718f80018145b1138a9d90db93c91c0dc121a007e3cb","first_computed_at":"2026-07-05T10:15:48.073232Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:15:48.073232Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fGccu1PT4Fc7kQTfGVg3OW8Gl7ab1e5NIihykAtwy/2FoYWcZ0+dJ/QwJ720KRSLkL0kk/5tqPuyFiadMr6pDg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:15:48.073736Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.16750","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cf71df2f441495c4e1c58981252922f655d8b4e4fb82c231f9a54b00579597da","sha256:7f0b59fe79056de880a21a35a9b04a370a19c14667e1c48ae498ce87718b4f42"],"state_sha256":"0ff364ece8a6059aa58487145a39f8287fb21b191873341306f82463f0c87fb9"}