{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:XGAIYBB7JTMB2DZWECYWF766SR","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":"fd01c375263c05d99bac81f9311ac975f7b9943e44853af8747e01c5c4c5c47c","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-12-19T23:11:06Z","title_canon_sha256":"5c5862e798326b07708bdf157d8c385e5c715946579623cd59bfc23861187e57"},"schema_version":"1.0","source":{"id":"2312.13303","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.13303","created_at":"2026-07-05T08:54:45Z"},{"alias_kind":"arxiv_version","alias_value":"2312.13303v2","created_at":"2026-07-05T08:54:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.13303","created_at":"2026-07-05T08:54:45Z"},{"alias_kind":"pith_short_12","alias_value":"XGAIYBB7JTMB","created_at":"2026-07-05T08:54:45Z"},{"alias_kind":"pith_short_16","alias_value":"XGAIYBB7JTMB2DZW","created_at":"2026-07-05T08:54:45Z"},{"alias_kind":"pith_short_8","alias_value":"XGAIYBB7","created_at":"2026-07-05T08:54:45Z"}],"graph_snapshots":[{"event_id":"sha256:8a5fe37ed26f0d8c46d562fe4d191a57424541b46cad84d6e5ad7270bba41a78","target":"graph","created_at":"2026-07-05T08:54:45Z","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/2312.13303/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Simulation plays a crucial role in the development of autonomous vehicles (AVs) due to the potential risks associated with real-world testing. Although significant progress has been made in the visual aspects of simulators, generating complex behavior among agents remains a formidable challenge. It is not only imperative to ensure realism in the scenarios generated but also essential to incorporate preferences and conditions to facilitate controllable generation for AV training and evaluation. Traditional methods, mainly relying on memorizing the distribution of training datasets, often fall s","authors_text":"Chaowei Xiao, Ding Zhao, Marco Pavone, Wenhao Ding, Yulong Cao","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-12-19T23:11:06Z","title":"RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.13303","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":"sha256:30b210cc7f9b9286a62448552f1e3b53fe2dfad4bc0817f8fb260c8a4d9ca72d","target":"record","created_at":"2026-07-05T08:54:45Z","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":"fd01c375263c05d99bac81f9311ac975f7b9943e44853af8747e01c5c4c5c47c","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-12-19T23:11:06Z","title_canon_sha256":"5c5862e798326b07708bdf157d8c385e5c715946579623cd59bfc23861187e57"},"schema_version":"1.0","source":{"id":"2312.13303","kind":"arxiv","version":2}},"canonical_sha256":"b9808c043f4cd81d0f3620b162ffde94466336a8d39677f3997a01a364a8ab22","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b9808c043f4cd81d0f3620b162ffde94466336a8d39677f3997a01a364a8ab22","first_computed_at":"2026-07-05T08:54:45.648076Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:54:45.648076Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JGr26l4bd5EEHfSQF0IacD0tHgYrSpibSg+DxXAhk8bG0A3LfgBsWJ3mbfFbEKk/M4Kh3YVNS/CRqe45WWvJCA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:54:45.648504Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.13303","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:30b210cc7f9b9286a62448552f1e3b53fe2dfad4bc0817f8fb260c8a4d9ca72d","sha256:8a5fe37ed26f0d8c46d562fe4d191a57424541b46cad84d6e5ad7270bba41a78"],"state_sha256":"9d378702b4a20cc86a390b05f900e7df25b5eddc2d4adf8e24f9e3346ca02c4c"}