{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:3OGDTXPJI7RAK3HISIV75TJOEY","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":"6d0e05001a18382750a208ce3002fdea0b9bb8d37ef15f129b4710c61c4c71b8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-20T05:58:32Z","title_canon_sha256":"b573556da9a3458219e92f95f66fe3eafd2ed0c57907447d3d1e3eb4c6adf22c"},"schema_version":"1.0","source":{"id":"2503.15875","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.15875","created_at":"2026-07-05T10:36:00Z"},{"alias_kind":"arxiv_version","alias_value":"2503.15875v1","created_at":"2026-07-05T10:36:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.15875","created_at":"2026-07-05T10:36:00Z"},{"alias_kind":"pith_short_12","alias_value":"3OGDTXPJI7RA","created_at":"2026-07-05T10:36:00Z"},{"alias_kind":"pith_short_16","alias_value":"3OGDTXPJI7RAK3HI","created_at":"2026-07-05T10:36:00Z"},{"alias_kind":"pith_short_8","alias_value":"3OGDTXPJ","created_at":"2026-07-05T10:36:00Z"}],"graph_snapshots":[{"event_id":"sha256:4897c617ed762208231e1ba2ed9452e7231b0e80e0f4455f44baadc33e6f2a44","target":"graph","created_at":"2026-07-05T10:36:00Z","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/2503.15875/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In recent years, data-driven techniques have greatly advanced autonomous driving systems, but the need for rare and diverse training data remains a challenge, requiring significant investment in equipment and labor. World models, which predict and generate future environmental states, offer a promising solution by synthesizing annotated video data for training. However, existing methods struggle to generate long, consistent videos without accumulating errors, especially in dynamic scenes. To address this, we propose MiLA, a novel framework for generating high-fidelity, long-duration videos up ","authors_text":"Bing Wang, Daqi Liu, Enhui Ma, Haiguang Wang, Haisong Liu, Hongwei Xie, Kaicheng Yu, Limin Wang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-20T05:58:32Z","title":"MiLA: Multi-view Intensive-fidelity Long-term Video Generation World Model for Autonomous Driving"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.15875","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:b114dc8d00d049e0494928687d71a9e91642019080d68602f39c1cc6e0b1efd2","target":"record","created_at":"2026-07-05T10:36:00Z","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":"6d0e05001a18382750a208ce3002fdea0b9bb8d37ef15f129b4710c61c4c71b8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-20T05:58:32Z","title_canon_sha256":"b573556da9a3458219e92f95f66fe3eafd2ed0c57907447d3d1e3eb4c6adf22c"},"schema_version":"1.0","source":{"id":"2503.15875","kind":"arxiv","version":1}},"canonical_sha256":"db8c39dde947e2056ce8922bfecd2e26109f6814af2c4c8b3edf53b3adbd58d3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"db8c39dde947e2056ce8922bfecd2e26109f6814af2c4c8b3edf53b3adbd58d3","first_computed_at":"2026-07-05T10:36:00.526990Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:36:00.526990Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nED+1CPXL4xe+SBOj0ZHW1+KdGOehsLrpbkqS1/Okid+49KeCrD5r3MJCBZo/67NUaykp5ZLjGzzRiBXSGL6BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:36:00.527895Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.15875","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b114dc8d00d049e0494928687d71a9e91642019080d68602f39c1cc6e0b1efd2","sha256:4897c617ed762208231e1ba2ed9452e7231b0e80e0f4455f44baadc33e6f2a44"],"state_sha256":"2abd4f54482748e119ae8f675a81c252a54eb11304dfc0f93cffe93062f88fd2"}