{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:VVJQ3NOFDQXOEC67HBPRTV6YXO","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":"2a1e8ef044c7afd33fa71207d596904f0a10b97e0ab20b1537d00d4fdd046a5f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-23T02:30:33Z","title_canon_sha256":"e3aabf340e143599371af814caee0457f02616bb3eca87de4d03a2fdcfa94c42"},"schema_version":"1.0","source":{"id":"2605.24354","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.24354","created_at":"2026-05-26T01:03:01Z"},{"alias_kind":"arxiv_version","alias_value":"2605.24354v1","created_at":"2026-05-26T01:03:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.24354","created_at":"2026-05-26T01:03:01Z"},{"alias_kind":"pith_short_12","alias_value":"VVJQ3NOFDQXO","created_at":"2026-05-26T01:03:01Z"},{"alias_kind":"pith_short_16","alias_value":"VVJQ3NOFDQXOEC67","created_at":"2026-05-26T01:03:01Z"},{"alias_kind":"pith_short_8","alias_value":"VVJQ3NOF","created_at":"2026-05-26T01:03:01Z"}],"graph_snapshots":[{"event_id":"sha256:4150e2ee5b84efaabe36789ad77dc0fb707b4ec0d1059a1274e5b63fd61d8dc5","target":"graph","created_at":"2026-05-26T01:03:01Z","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/2605.24354/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, world models have made significant progress in enhancing end-to-end driving systems through both future situation forecasting and improved scene understanding. However, existing driving world models are typically built upon dense scene representations, causing high computational costs and redundant information. In this paper, we present SparseWorld, a lightweight world model that focuses on predicting only the critical layout of the scene, enabling efficient future forecasting for end-to-end driving systems. SparseWorld first performs autoregressive rollout to forecast future map ele","authors_text":"Aixue Ye, Guanglin Xu, Jingke Wang, Ruoyu Wang, Shuangming Lei, Yong Liu, Yuehao Huang, Yukai Ma","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-23T02:30:33Z","title":"SparseWorld: Enhancing End-to-End Autonomous Driving via World Models with Sparse Scene Representation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.24354","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":"sha256:26bc529fa89861ecb6f15d47137876d75e1d160aa5da16b0f42730e5d5809f6f","target":"record","created_at":"2026-05-26T01:03:01Z","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":"2a1e8ef044c7afd33fa71207d596904f0a10b97e0ab20b1537d00d4fdd046a5f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-23T02:30:33Z","title_canon_sha256":"e3aabf340e143599371af814caee0457f02616bb3eca87de4d03a2fdcfa94c42"},"schema_version":"1.0","source":{"id":"2605.24354","kind":"arxiv","version":1}},"canonical_sha256":"ad530db5c51c2ee20bdf385f19d7d8bbac138f4a763de44db754cd42e513229e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ad530db5c51c2ee20bdf385f19d7d8bbac138f4a763de44db754cd42e513229e","first_computed_at":"2026-05-26T01:03:01.537449Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T01:03:01.537449Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"skePjyKD+gDaYQ+2e3lMCWb8qX6LO3Jzi3haSDT8MoE8XOMtNDaUODD2jnKNfGh9C6oi6ERIv3P2bO9lDv6bDg==","signature_status":"signed_v1","signed_at":"2026-05-26T01:03:01.538122Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.24354","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:26bc529fa89861ecb6f15d47137876d75e1d160aa5da16b0f42730e5d5809f6f","sha256:4150e2ee5b84efaabe36789ad77dc0fb707b4ec0d1059a1274e5b63fd61d8dc5"],"state_sha256":"941312d47003ce08681a1de5bc497f26d2812e8b8ebc521b5a5259442c2f1271"}