{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:VBBTE4S3VHYFUXVHK2DVG57YNS","short_pith_number":"pith:VBBTE4S3","canonical_record":{"source":{"id":"2508.20965","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-28T16:22:54Z","cross_cats_sorted":[],"title_canon_sha256":"645e0ee07ac8b6b56bd7b3f72bd149c6e4bd999da63cdc6857f646717247de8b","abstract_canon_sha256":"0015a6c5f8f126f7d6f3e671e4c57aa4e486fa223e9ba7440ee09e3e581a7ed3"},"schema_version":"1.0"},"canonical_sha256":"a84332725ba9f05a5ea756875377f86c8af62f065fc9dd2b48b3774236bc5614","source":{"kind":"arxiv","id":"2508.20965","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.20965","created_at":"2026-07-05T12:01:14Z"},{"alias_kind":"arxiv_version","alias_value":"2508.20965v1","created_at":"2026-07-05T12:01:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.20965","created_at":"2026-07-05T12:01:14Z"},{"alias_kind":"pith_short_12","alias_value":"VBBTE4S3VHYF","created_at":"2026-07-05T12:01:14Z"},{"alias_kind":"pith_short_16","alias_value":"VBBTE4S3VHYFUXVH","created_at":"2026-07-05T12:01:14Z"},{"alias_kind":"pith_short_8","alias_value":"VBBTE4S3","created_at":"2026-07-05T12:01:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:VBBTE4S3VHYFUXVHK2DVG57YNS","target":"record","payload":{"canonical_record":{"source":{"id":"2508.20965","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-28T16:22:54Z","cross_cats_sorted":[],"title_canon_sha256":"645e0ee07ac8b6b56bd7b3f72bd149c6e4bd999da63cdc6857f646717247de8b","abstract_canon_sha256":"0015a6c5f8f126f7d6f3e671e4c57aa4e486fa223e9ba7440ee09e3e581a7ed3"},"schema_version":"1.0"},"canonical_sha256":"a84332725ba9f05a5ea756875377f86c8af62f065fc9dd2b48b3774236bc5614","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:01:14.264783Z","signature_b64":"NltsttYGzf6eEIta9btlLLrY6pseBWfwxnOnyN4HXBtHxTUmpsEiWtGGXJ/MH5Ib1P/I+mX4egnoWQkhtFbFAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a84332725ba9f05a5ea756875377f86c8af62f065fc9dd2b48b3774236bc5614","last_reissued_at":"2026-07-05T12:01:14.264274Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:01:14.264274Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.20965","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T12:01:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jcGwa9p8u+O7IHcUcAfnk7LxmjWxtm0jevbM/rZHSWR77Yl5PPLyYZvy4IezM6N7JmIFuKNh59moawmUnqIjBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T02:17:55.352244Z"},"content_sha256":"3167716e148d8d1f5272cdd8da067376aac6cc23caaf566f64f54e1ae0d77ac2","schema_version":"1.0","event_id":"sha256:3167716e148d8d1f5272cdd8da067376aac6cc23caaf566f64f54e1ae0d77ac2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:VBBTE4S3VHYFUXVHK2DVG57YNS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DrivingGaussian++: Towards Realistic Reconstruction and Editable Simulation for Surrounding Dynamic Driving Scenes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Deqing Sun, Ming-Hsuan Yang, Xiaoyu Zhou, Yajiao Xiong, Yongtao Wan","submitted_at":"2025-08-28T16:22:54Z","abstract_excerpt":"We present DrivingGaussian++, an efficient and effective framework for realistic reconstructing and controllable editing of surrounding dynamic autonomous driving scenes. DrivingGaussian++ models the static background using incremental 3D Gaussians and reconstructs moving objects with a composite dynamic Gaussian graph, ensuring accurate positions and occlusions. By integrating a LiDAR prior, it achieves detailed and consistent scene reconstruction, outperforming existing methods in dynamic scene reconstruction and photorealistic surround-view synthesis. DrivingGaussian++ supports training-fre"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.20965","kind":"arxiv","version":1},"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/2508.20965/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":"2026-07-05T12:01:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9m7KakyuOwPto9x1dNXt3RNNEG2N0kw+dMjHnbuPsGg/JnP+cWoCRr0gAGNSr25PMHZ+OhXXTV+4u4EmuHr6Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T02:17:55.352736Z"},"content_sha256":"ebdeb98554f8b49b6b81407aec95f29f099c5548f330042549b40913270b19ef","schema_version":"1.0","event_id":"sha256:ebdeb98554f8b49b6b81407aec95f29f099c5548f330042549b40913270b19ef"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VBBTE4S3VHYFUXVHK2DVG57YNS/bundle.json","state_url":"https://pith.science/pith/VBBTE4S3VHYFUXVHK2DVG57YNS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VBBTE4S3VHYFUXVHK2DVG57YNS/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":"2026-08-06T02:17:55Z","links":{"resolver":"https://pith.science/pith/VBBTE4S3VHYFUXVHK2DVG57YNS","bundle":"https://pith.science/pith/VBBTE4S3VHYFUXVHK2DVG57YNS/bundle.json","state":"https://pith.science/pith/VBBTE4S3VHYFUXVHK2DVG57YNS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VBBTE4S3VHYFUXVHK2DVG57YNS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:VBBTE4S3VHYFUXVHK2DVG57YNS","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":"0015a6c5f8f126f7d6f3e671e4c57aa4e486fa223e9ba7440ee09e3e581a7ed3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-28T16:22:54Z","title_canon_sha256":"645e0ee07ac8b6b56bd7b3f72bd149c6e4bd999da63cdc6857f646717247de8b"},"schema_version":"1.0","source":{"id":"2508.20965","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.20965","created_at":"2026-07-05T12:01:14Z"},{"alias_kind":"arxiv_version","alias_value":"2508.20965v1","created_at":"2026-07-05T12:01:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.20965","created_at":"2026-07-05T12:01:14Z"},{"alias_kind":"pith_short_12","alias_value":"VBBTE4S3VHYF","created_at":"2026-07-05T12:01:14Z"},{"alias_kind":"pith_short_16","alias_value":"VBBTE4S3VHYFUXVH","created_at":"2026-07-05T12:01:14Z"},{"alias_kind":"pith_short_8","alias_value":"VBBTE4S3","created_at":"2026-07-05T12:01:14Z"}],"graph_snapshots":[{"event_id":"sha256:ebdeb98554f8b49b6b81407aec95f29f099c5548f330042549b40913270b19ef","target":"graph","created_at":"2026-07-05T12:01:14Z","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/2508.20965/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present DrivingGaussian++, an efficient and effective framework for realistic reconstructing and controllable editing of surrounding dynamic autonomous driving scenes. DrivingGaussian++ models the static background using incremental 3D Gaussians and reconstructs moving objects with a composite dynamic Gaussian graph, ensuring accurate positions and occlusions. By integrating a LiDAR prior, it achieves detailed and consistent scene reconstruction, outperforming existing methods in dynamic scene reconstruction and photorealistic surround-view synthesis. DrivingGaussian++ supports training-fre","authors_text":"Deqing Sun, Ming-Hsuan Yang, Xiaoyu Zhou, Yajiao Xiong, Yongtao Wan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-28T16:22:54Z","title":"DrivingGaussian++: Towards Realistic Reconstruction and Editable Simulation for Surrounding Dynamic Driving Scenes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.20965","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":"sha256:3167716e148d8d1f5272cdd8da067376aac6cc23caaf566f64f54e1ae0d77ac2","target":"record","created_at":"2026-07-05T12:01:14Z","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":"0015a6c5f8f126f7d6f3e671e4c57aa4e486fa223e9ba7440ee09e3e581a7ed3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-28T16:22:54Z","title_canon_sha256":"645e0ee07ac8b6b56bd7b3f72bd149c6e4bd999da63cdc6857f646717247de8b"},"schema_version":"1.0","source":{"id":"2508.20965","kind":"arxiv","version":1}},"canonical_sha256":"a84332725ba9f05a5ea756875377f86c8af62f065fc9dd2b48b3774236bc5614","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a84332725ba9f05a5ea756875377f86c8af62f065fc9dd2b48b3774236bc5614","first_computed_at":"2026-07-05T12:01:14.264274Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:01:14.264274Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NltsttYGzf6eEIta9btlLLrY6pseBWfwxnOnyN4HXBtHxTUmpsEiWtGGXJ/MH5Ib1P/I+mX4egnoWQkhtFbFAg==","signature_status":"signed_v1","signed_at":"2026-07-05T12:01:14.264783Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.20965","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3167716e148d8d1f5272cdd8da067376aac6cc23caaf566f64f54e1ae0d77ac2","sha256:ebdeb98554f8b49b6b81407aec95f29f099c5548f330042549b40913270b19ef"],"state_sha256":"a91dd6530129c433701a44c8857198e77f900521fac42f983b40a8cb7ff16189"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"92YMIjY1O7ZdKTXwDacrUPJSwKcqPH9Wqn2kJ2QXubl2uijqxYKrmA/Vu8ZHnwOJVagcs1zqW8OYpyABQSeSCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T02:17:55.355732Z","bundle_sha256":"872c43ed940e5a92a7843cce5d7aca4c81c024796e28eba5a4567583afad6872"}}