{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:5K2ADKD3MBKDXOIO6D6WXE6P63","short_pith_number":"pith:5K2ADKD3","canonical_record":{"source":{"id":"2506.07497","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-09T07:20:49Z","cross_cats_sorted":[],"title_canon_sha256":"323d1af4cd2311376ac52eb05ba889bdfea1b41722f24adad67cdb55d425195a","abstract_canon_sha256":"0fc1e2cdf7b4607c8d00b637df6cd1fc4cba1a8622eb030e62f7b7d12e67198c"},"schema_version":"1.0"},"canonical_sha256":"eab401a87b60543bb90ef0fd6b93cff6c468aaa30745326219c97c9c9e7bea2b","source":{"kind":"arxiv","id":"2506.07497","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.07497","created_at":"2026-07-05T11:24:53Z"},{"alias_kind":"arxiv_version","alias_value":"2506.07497v4","created_at":"2026-07-05T11:24:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.07497","created_at":"2026-07-05T11:24:53Z"},{"alias_kind":"pith_short_12","alias_value":"5K2ADKD3MBKD","created_at":"2026-07-05T11:24:53Z"},{"alias_kind":"pith_short_16","alias_value":"5K2ADKD3MBKDXOIO","created_at":"2026-07-05T11:24:53Z"},{"alias_kind":"pith_short_8","alias_value":"5K2ADKD3","created_at":"2026-07-05T11:24:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:5K2ADKD3MBKDXOIO6D6WXE6P63","target":"record","payload":{"canonical_record":{"source":{"id":"2506.07497","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-09T07:20:49Z","cross_cats_sorted":[],"title_canon_sha256":"323d1af4cd2311376ac52eb05ba889bdfea1b41722f24adad67cdb55d425195a","abstract_canon_sha256":"0fc1e2cdf7b4607c8d00b637df6cd1fc4cba1a8622eb030e62f7b7d12e67198c"},"schema_version":"1.0"},"canonical_sha256":"eab401a87b60543bb90ef0fd6b93cff6c468aaa30745326219c97c9c9e7bea2b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:24:53.418114Z","signature_b64":"0RDR+KiMFxfVA8MyVTwfe8mNPd6q2KjP0bYiw0eD4t+TtmX6Csk4OlKkSPMm4tbtAKc7NTNQNVtjGF6qbDKVDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"eab401a87b60543bb90ef0fd6b93cff6c468aaa30745326219c97c9c9e7bea2b","last_reissued_at":"2026-07-05T11:24:53.417622Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:24:53.417622Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.07497","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:24:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YsN6IEsDcnuQLl1q11EEpteCWm/HpesIvQr3L7FK+xILZUaO3hmL8ulriZe18N72BCyacv348F+CNMOj/ZLIDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T17:47:23.604431Z"},"content_sha256":"3731ab06b88e000dc697a3508b379fcbb8738b4937def0b2a84ffc976ad67953","schema_version":"1.0","event_id":"sha256:3731ab06b88e000dc697a3508b379fcbb8738b4937def0b2a84ffc976ad67953"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:5K2ADKD3MBKDXOIO6D6WXE6P63","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Genesis: Multimodal Driving Scene Generation with Spatio-Temporal and Cross-Modal Consistency","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bing Wang, Gangwei Xu, Guang Chen, Haiyang Sun, Hangjun Ye, Kaixin Xiong, Lijun Zhou, Shaoqing Xu, Wenyu Liu, Xiangyu Guo, Xinggang Wang, Zhanqian Wu, Ziyang Xu","submitted_at":"2025-06-09T07:20:49Z","abstract_excerpt":"We present Genesis, a unified framework for joint generation of multi-view driving videos and LiDAR sequences with spatio-temporal and cross-modal consistency. Genesis employs a two-stage architecture that integrates a DiT-based video diffusion model with 3D-VAE encoding, and a BEV-aware LiDAR generator with NeRF-based rendering and adaptive sampling. Both modalities are directly coupled through a shared latent space, enabling coherent evolution across visual and geometric domains. To guide the generation with structured semantics, we introduce DataCrafter, a captioning module built on vision-"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.07497","kind":"arxiv","version":4},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2506.07497/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:24:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"R6SV29bHgColf2k+WTfZrdXVk4/GNKEBl1ik8Mo5Y0XnLoPvhJGRKk21OZBoiNKH4dT6drKiTON+LNZDeyvXBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T17:47:23.604810Z"},"content_sha256":"d09c81110d68da16f364243a96ae479172b11ee7310cdc680358b0a55ea4ec1c","schema_version":"1.0","event_id":"sha256:d09c81110d68da16f364243a96ae479172b11ee7310cdc680358b0a55ea4ec1c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5K2ADKD3MBKDXOIO6D6WXE6P63/bundle.json","state_url":"https://pith.science/pith/5K2ADKD3MBKDXOIO6D6WXE6P63/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5K2ADKD3MBKDXOIO6D6WXE6P63/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-06T17:47:23Z","links":{"resolver":"https://pith.science/pith/5K2ADKD3MBKDXOIO6D6WXE6P63","bundle":"https://pith.science/pith/5K2ADKD3MBKDXOIO6D6WXE6P63/bundle.json","state":"https://pith.science/pith/5K2ADKD3MBKDXOIO6D6WXE6P63/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5K2ADKD3MBKDXOIO6D6WXE6P63/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:5K2ADKD3MBKDXOIO6D6WXE6P63","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":"0fc1e2cdf7b4607c8d00b637df6cd1fc4cba1a8622eb030e62f7b7d12e67198c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-09T07:20:49Z","title_canon_sha256":"323d1af4cd2311376ac52eb05ba889bdfea1b41722f24adad67cdb55d425195a"},"schema_version":"1.0","source":{"id":"2506.07497","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.07497","created_at":"2026-07-05T11:24:53Z"},{"alias_kind":"arxiv_version","alias_value":"2506.07497v4","created_at":"2026-07-05T11:24:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.07497","created_at":"2026-07-05T11:24:53Z"},{"alias_kind":"pith_short_12","alias_value":"5K2ADKD3MBKD","created_at":"2026-07-05T11:24:53Z"},{"alias_kind":"pith_short_16","alias_value":"5K2ADKD3MBKDXOIO","created_at":"2026-07-05T11:24:53Z"},{"alias_kind":"pith_short_8","alias_value":"5K2ADKD3","created_at":"2026-07-05T11:24:53Z"}],"graph_snapshots":[{"event_id":"sha256:d09c81110d68da16f364243a96ae479172b11ee7310cdc680358b0a55ea4ec1c","target":"graph","created_at":"2026-07-05T11:24:53Z","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/2506.07497/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present Genesis, a unified framework for joint generation of multi-view driving videos and LiDAR sequences with spatio-temporal and cross-modal consistency. Genesis employs a two-stage architecture that integrates a DiT-based video diffusion model with 3D-VAE encoding, and a BEV-aware LiDAR generator with NeRF-based rendering and adaptive sampling. Both modalities are directly coupled through a shared latent space, enabling coherent evolution across visual and geometric domains. To guide the generation with structured semantics, we introduce DataCrafter, a captioning module built on vision-","authors_text":"Bing Wang, Gangwei Xu, Guang Chen, Haiyang Sun, Hangjun Ye, Kaixin Xiong, Lijun Zhou, Shaoqing Xu, Wenyu Liu, Xiangyu Guo, Xinggang Wang, Zhanqian Wu, Ziyang Xu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-09T07:20:49Z","title":"Genesis: Multimodal Driving Scene Generation with Spatio-Temporal and Cross-Modal Consistency"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.07497","kind":"arxiv","version":4},"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":"sha256:3731ab06b88e000dc697a3508b379fcbb8738b4937def0b2a84ffc976ad67953","target":"record","created_at":"2026-07-05T11:24:53Z","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":"0fc1e2cdf7b4607c8d00b637df6cd1fc4cba1a8622eb030e62f7b7d12e67198c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-09T07:20:49Z","title_canon_sha256":"323d1af4cd2311376ac52eb05ba889bdfea1b41722f24adad67cdb55d425195a"},"schema_version":"1.0","source":{"id":"2506.07497","kind":"arxiv","version":4}},"canonical_sha256":"eab401a87b60543bb90ef0fd6b93cff6c468aaa30745326219c97c9c9e7bea2b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"eab401a87b60543bb90ef0fd6b93cff6c468aaa30745326219c97c9c9e7bea2b","first_computed_at":"2026-07-05T11:24:53.417622Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:24:53.417622Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0RDR+KiMFxfVA8MyVTwfe8mNPd6q2KjP0bYiw0eD4t+TtmX6Csk4OlKkSPMm4tbtAKc7NTNQNVtjGF6qbDKVDg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:24:53.418114Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.07497","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3731ab06b88e000dc697a3508b379fcbb8738b4937def0b2a84ffc976ad67953","sha256:d09c81110d68da16f364243a96ae479172b11ee7310cdc680358b0a55ea4ec1c"],"state_sha256":"69b4acc858d596cac72201076cc600bf05e61966c7cb250a64cf6a9b560c538e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1eU7X1arneEceDabXYwGFmFvZppi1GO/Obt3HUyNAxt2WwOSruuRRg6bj/O6tpNV70CAYk0qrOJX/iHylZprCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T17:47:23.606809Z","bundle_sha256":"5bf73c25c29568c36eb7509a6afd158b14c0457fea90847e65ed8f7b198d73b8"}}