{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:NMT5T5M3I4DAIR6NJF323TICVK","short_pith_number":"pith:NMT5T5M3","canonical_record":{"source":{"id":"2412.15199","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-19T18:58:36Z","cross_cats_sorted":["cs.LG","cs.RO"],"title_canon_sha256":"b4673900cced3dfcc747f368a56c6c8eba527c611054792e5207e1f91953f0e1","abstract_canon_sha256":"1f6a97fd935c9abbd74d89626ac4784449357bc733fcf3e9e6b2f2320269b75c"},"schema_version":"1.0"},"canonical_sha256":"6b27d9f59b47060447cd4977adcd02aa89f826032ce25273a19027cd8968e0d7","source":{"kind":"arxiv","id":"2412.15199","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.15199","created_at":"2026-07-05T09:51:59Z"},{"alias_kind":"arxiv_version","alias_value":"2412.15199v1","created_at":"2026-07-05T09:51:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.15199","created_at":"2026-07-05T09:51:59Z"},{"alias_kind":"pith_short_12","alias_value":"NMT5T5M3I4DA","created_at":"2026-07-05T09:51:59Z"},{"alias_kind":"pith_short_16","alias_value":"NMT5T5M3I4DAIR6N","created_at":"2026-07-05T09:51:59Z"},{"alias_kind":"pith_short_8","alias_value":"NMT5T5M3","created_at":"2026-07-05T09:51:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:NMT5T5M3I4DAIR6NJF323TICVK","target":"record","payload":{"canonical_record":{"source":{"id":"2412.15199","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-19T18:58:36Z","cross_cats_sorted":["cs.LG","cs.RO"],"title_canon_sha256":"b4673900cced3dfcc747f368a56c6c8eba527c611054792e5207e1f91953f0e1","abstract_canon_sha256":"1f6a97fd935c9abbd74d89626ac4784449357bc733fcf3e9e6b2f2320269b75c"},"schema_version":"1.0"},"canonical_sha256":"6b27d9f59b47060447cd4977adcd02aa89f826032ce25273a19027cd8968e0d7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:51:59.087103Z","signature_b64":"LVcmiBC8709iftV+5uwyH+PkiuJ8gqmJaj3rA5CT+zfIaLgfM4MACgfXsmEc6ekM/TRlRc/Kc0acJ3CjFHGcDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6b27d9f59b47060447cd4977adcd02aa89f826032ce25273a19027cd8968e0d7","last_reissued_at":"2026-07-05T09:51:59.086664Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:51:59.086664Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.15199","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":"2026-07-05T09:51:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"85V7/0ABN7fi3aObZrsHvcVWsdFzPZ1oN87PMgh8po3pYQfB1SHasyBNp3JJgqx5Ypmeu7+DsznCgl7Yo8kACg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T18:09:19.507499Z"},"content_sha256":"dd3c5e38093ddfc156c7969230f23398c302e5769d081a74e6b20ebf4846629a","schema_version":"1.0","event_id":"sha256:dd3c5e38093ddfc156c7969230f23398c302e5769d081a74e6b20ebf4846629a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:NMT5T5M3I4DAIR6NJF323TICVK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG","cs.RO"],"primary_cat":"cs.CV","authors_text":"Chenxu Zhou, Jiazhi Xia, Lvchang Fu, Sida Peng, Xiaowei Zhou, Yong Chen, Yunzhi Yan, Zhanhua Zhang","submitted_at":"2024-12-19T18:58:36Z","abstract_excerpt":"This paper targets the challenge of real-time LiDAR re-simulation in dynamic driving scenarios. Recent approaches utilize neural radiance fields combined with the physical modeling of LiDAR sensors to achieve high-fidelity re-simulation results. Unfortunately, these methods face limitations due to high computational demands in large-scale scenes and cannot perform real-time LiDAR rendering. To overcome these constraints, we propose LiDAR-RT, a novel framework that supports real-time, physically accurate LiDAR re-simulation for driving scenes. Our primary contribution is the development of an e"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.15199","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/2412.15199/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":"2026-07-05T09:51:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jbyameyt40sEbHb8KAfQyboz7kZG48d+xHmOA/+rwum5AiteIum5gP32rYE25vzGAqK85ZO2yASgY6KYz42TDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T18:09:19.507995Z"},"content_sha256":"834435c59e390c57b6d1d3d29e3eeedef463ee5f8b78019c094ebb909b9765fc","schema_version":"1.0","event_id":"sha256:834435c59e390c57b6d1d3d29e3eeedef463ee5f8b78019c094ebb909b9765fc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NMT5T5M3I4DAIR6NJF323TICVK/bundle.json","state_url":"https://pith.science/pith/NMT5T5M3I4DAIR6NJF323TICVK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NMT5T5M3I4DAIR6NJF323TICVK/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":"2026-08-04T18:09:19Z","links":{"resolver":"https://pith.science/pith/NMT5T5M3I4DAIR6NJF323TICVK","bundle":"https://pith.science/pith/NMT5T5M3I4DAIR6NJF323TICVK/bundle.json","state":"https://pith.science/pith/NMT5T5M3I4DAIR6NJF323TICVK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NMT5T5M3I4DAIR6NJF323TICVK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:NMT5T5M3I4DAIR6NJF323TICVK","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":"1f6a97fd935c9abbd74d89626ac4784449357bc733fcf3e9e6b2f2320269b75c","cross_cats_sorted":["cs.LG","cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-19T18:58:36Z","title_canon_sha256":"b4673900cced3dfcc747f368a56c6c8eba527c611054792e5207e1f91953f0e1"},"schema_version":"1.0","source":{"id":"2412.15199","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.15199","created_at":"2026-07-05T09:51:59Z"},{"alias_kind":"arxiv_version","alias_value":"2412.15199v1","created_at":"2026-07-05T09:51:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.15199","created_at":"2026-07-05T09:51:59Z"},{"alias_kind":"pith_short_12","alias_value":"NMT5T5M3I4DA","created_at":"2026-07-05T09:51:59Z"},{"alias_kind":"pith_short_16","alias_value":"NMT5T5M3I4DAIR6N","created_at":"2026-07-05T09:51:59Z"},{"alias_kind":"pith_short_8","alias_value":"NMT5T5M3","created_at":"2026-07-05T09:51:59Z"}],"graph_snapshots":[{"event_id":"sha256:834435c59e390c57b6d1d3d29e3eeedef463ee5f8b78019c094ebb909b9765fc","target":"graph","created_at":"2026-07-05T09:51:59Z","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/2412.15199/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper targets the challenge of real-time LiDAR re-simulation in dynamic driving scenarios. Recent approaches utilize neural radiance fields combined with the physical modeling of LiDAR sensors to achieve high-fidelity re-simulation results. Unfortunately, these methods face limitations due to high computational demands in large-scale scenes and cannot perform real-time LiDAR rendering. To overcome these constraints, we propose LiDAR-RT, a novel framework that supports real-time, physically accurate LiDAR re-simulation for driving scenes. Our primary contribution is the development of an e","authors_text":"Chenxu Zhou, Jiazhi Xia, Lvchang Fu, Sida Peng, Xiaowei Zhou, Yong Chen, Yunzhi Yan, Zhanhua Zhang","cross_cats":["cs.LG","cs.RO"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-19T18:58:36Z","title":"LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.15199","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:dd3c5e38093ddfc156c7969230f23398c302e5769d081a74e6b20ebf4846629a","target":"record","created_at":"2026-07-05T09:51:59Z","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":"1f6a97fd935c9abbd74d89626ac4784449357bc733fcf3e9e6b2f2320269b75c","cross_cats_sorted":["cs.LG","cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-19T18:58:36Z","title_canon_sha256":"b4673900cced3dfcc747f368a56c6c8eba527c611054792e5207e1f91953f0e1"},"schema_version":"1.0","source":{"id":"2412.15199","kind":"arxiv","version":1}},"canonical_sha256":"6b27d9f59b47060447cd4977adcd02aa89f826032ce25273a19027cd8968e0d7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6b27d9f59b47060447cd4977adcd02aa89f826032ce25273a19027cd8968e0d7","first_computed_at":"2026-07-05T09:51:59.086664Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:51:59.086664Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LVcmiBC8709iftV+5uwyH+PkiuJ8gqmJaj3rA5CT+zfIaLgfM4MACgfXsmEc6ekM/TRlRc/Kc0acJ3CjFHGcDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:51:59.087103Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.15199","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dd3c5e38093ddfc156c7969230f23398c302e5769d081a74e6b20ebf4846629a","sha256:834435c59e390c57b6d1d3d29e3eeedef463ee5f8b78019c094ebb909b9765fc"],"state_sha256":"3c3a770ec3ac9a828cbf48cf8678c30232d0d52416c1e5ddc8e2a326a40fc8e2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wOtmRGg/lzjpA/y8V44K1WD5q1fdtYjiEyaFUquMpfocyqvoi76o4hVs0tIShSFnjH/9HGV0ZmycfBBiRnxcBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T18:09:19.512715Z","bundle_sha256":"c555a6fa8f3da6d255864c7d3c76d50a6cd6ee0cd80619439834a88cfca56b75"}}