{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:5YGKYPCYXSFNXJE2A6CLOAZDGG","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":"639e45d673bbee4feb1807fe803c08fa96809f3fb8e1f4cc8799584d70e528b0","cross_cats_sorted":["cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-27T02:17:22Z","title_canon_sha256":"a1f7941c28ebb655636005b61bd771779155878ff633e458d252c011a1dce233"},"schema_version":"1.0","source":{"id":"2504.19077","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.19077","created_at":"2026-07-05T10:54:51Z"},{"alias_kind":"arxiv_version","alias_value":"2504.19077v1","created_at":"2026-07-05T10:54:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.19077","created_at":"2026-07-05T10:54:51Z"},{"alias_kind":"pith_short_12","alias_value":"5YGKYPCYXSFN","created_at":"2026-07-05T10:54:51Z"},{"alias_kind":"pith_short_16","alias_value":"5YGKYPCYXSFNXJE2","created_at":"2026-07-05T10:54:51Z"},{"alias_kind":"pith_short_8","alias_value":"5YGKYPCY","created_at":"2026-07-05T10:54:51Z"}],"graph_snapshots":[{"event_id":"sha256:7f15648aeecbe72e855364b415873600d4e786141e048ad48293464591f36aa5","target":"graph","created_at":"2026-07-05T10:54:51Z","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/2504.19077/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Most self-driving systems rely on hand-coded perception outputs and engineered driving rules. Learning directly from human driving data with an end-to-end method can allow for a training architecture that is simpler and scales well with compute and data.\n  In this work, we propose an end-to-end training architecture that uses real driving data to train a driving policy in an on-policy simulator. We show two different methods of simulation, one with reprojective simulation and one with a learned world model. We show that both methods can be used to train a policy that learns driving behavior wi","authors_text":"Adeeb Shihadeh, Armand du Parc Locmaria, George Hotz, Greg Hogan, Harald Sch\\\"afer, Kacper Raczy, Mitchell Goff, Weixing Zhang, Yassine Yousfi","cross_cats":["cs.RO"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-27T02:17:22Z","title":"Learning to Drive from a World Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.19077","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":"sha256:9ae1e980f006fd5f6eccfb0811c83726ed155b5b04ef9539761ca6dc86217f48","target":"record","created_at":"2026-07-05T10:54:51Z","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":"639e45d673bbee4feb1807fe803c08fa96809f3fb8e1f4cc8799584d70e528b0","cross_cats_sorted":["cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-27T02:17:22Z","title_canon_sha256":"a1f7941c28ebb655636005b61bd771779155878ff633e458d252c011a1dce233"},"schema_version":"1.0","source":{"id":"2504.19077","kind":"arxiv","version":1}},"canonical_sha256":"ee0cac3c58bc8adba49a0784b7032331ae44ff5f89b5f21c774c9dbe9881794e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ee0cac3c58bc8adba49a0784b7032331ae44ff5f89b5f21c774c9dbe9881794e","first_computed_at":"2026-07-05T10:54:51.671367Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:54:51.671367Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1/3NqVBpfUCgoqp7iIGGhMeyJvuu44ceDylYcvwGKSbTb6IZyneciFG6KHOLAYdQO4Dw+6V1scOqDpLX5Iu+BA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:54:51.671831Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.19077","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9ae1e980f006fd5f6eccfb0811c83726ed155b5b04ef9539761ca6dc86217f48","sha256:7f15648aeecbe72e855364b415873600d4e786141e048ad48293464591f36aa5"],"state_sha256":"e131c43926dd35c30fef52adfbd1e8c32f5124a2f5011e7bafc87ac0ee27644b"}