{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:LHRQCZCE4AWMCWJ4UIEUQKN5H4","short_pith_number":"pith:LHRQCZCE","canonical_record":{"source":{"id":"2311.15803","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-27T13:25:47Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"80352c1b2fe530cda2b330ace2ec28d484569772a624cc526e12749919aae3c4","abstract_canon_sha256":"21c194a8babe4c85da54955c5d0aa61895fde7098f22c6fd85d942d56d0e131a"},"schema_version":"1.0"},"canonical_sha256":"59e3016444e02cc1593ca2094829bd3f00f9787d247579f80f77652c41dac179","source":{"kind":"arxiv","id":"2311.15803","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.15803","created_at":"2026-07-05T08:01:17Z"},{"alias_kind":"arxiv_version","alias_value":"2311.15803v3","created_at":"2026-07-05T08:01:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.15803","created_at":"2026-07-05T08:01:17Z"},{"alias_kind":"pith_short_12","alias_value":"LHRQCZCE4AWM","created_at":"2026-07-05T08:01:17Z"},{"alias_kind":"pith_short_16","alias_value":"LHRQCZCE4AWMCWJ4","created_at":"2026-07-05T08:01:17Z"},{"alias_kind":"pith_short_8","alias_value":"LHRQCZCE","created_at":"2026-07-05T08:01:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:LHRQCZCE4AWMCWJ4UIEUQKN5H4","target":"record","payload":{"canonical_record":{"source":{"id":"2311.15803","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-27T13:25:47Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"80352c1b2fe530cda2b330ace2ec28d484569772a624cc526e12749919aae3c4","abstract_canon_sha256":"21c194a8babe4c85da54955c5d0aa61895fde7098f22c6fd85d942d56d0e131a"},"schema_version":"1.0"},"canonical_sha256":"59e3016444e02cc1593ca2094829bd3f00f9787d247579f80f77652c41dac179","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:01:17.245507Z","signature_b64":"6u5W5OVEOh918J3jiljbEaZg1g4IPGsaWcetCBYi7naW2TBC0l5lwEVqXi+Zja8M2hpZ3+QpMGi1Ei06qiiTAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"59e3016444e02cc1593ca2094829bd3f00f9787d247579f80f77652c41dac179","last_reissued_at":"2026-07-05T08:01:17.245087Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:01:17.245087Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.15803","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:01:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"H5vL0HzMTvKOC060viLcBwRLhxFXLAfNNvWkzbcnBVHlnBOpTWO9aVCMfcqcIFoxUhjmJaB+v9EFvb6wJgtsBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T22:40:53.499122Z"},"content_sha256":"a8749dc32e684b9578e88a9e0de1b72f7df97c3e3a7ff95ee2dac3f9e33a534e","schema_version":"1.0","event_id":"sha256:a8749dc32e684b9578e88a9e0de1b72f7df97c3e3a7ff95ee2dac3f9e33a534e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:LHRQCZCE4AWMCWJ4UIEUQKN5H4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SOAC: Spatio-Temporal Overlap-Aware Multi-Sensor Calibration using Neural Radiance Fields","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.RO"],"primary_cat":"cs.CV","authors_text":"C\\'edric Demonceaux, Cyrille Migniot, Dzmitry Tsishkou, Luis Rold\\~ao, Moussab Bennehar, Nathan Piasco, Pascal Vasseur, Quentin Herau","submitted_at":"2023-11-27T13:25:47Z","abstract_excerpt":"In rapidly-evolving domains such as autonomous driving, the use of multiple sensors with different modalities is crucial to ensure high operational precision and stability. To correctly exploit the provided information by each sensor in a single common frame, it is essential for these sensors to be accurately calibrated. In this paper, we leverage the ability of Neural Radiance Fields (NeRF) to represent different sensors modalities in a common volumetric representation to achieve robust and accurate spatio-temporal sensor calibration. By designing a partitioning approach based on the visible "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.15803","kind":"arxiv","version":3},"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/2311.15803/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":"2026-07-05T08:01:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"30iJBI2zKPzdizMERLy7lRGhwdQspZik5Vi84m3yudG5DSvvFPklT2ya5LoyMsuQnBWXxoqNzb7ZaQHJWdVpDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T22:40:53.499668Z"},"content_sha256":"daf188b6b1b8f417c40f95b9a8113a26847683a72f6a60d0fb1d06af826afcdd","schema_version":"1.0","event_id":"sha256:daf188b6b1b8f417c40f95b9a8113a26847683a72f6a60d0fb1d06af826afcdd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LHRQCZCE4AWMCWJ4UIEUQKN5H4/bundle.json","state_url":"https://pith.science/pith/LHRQCZCE4AWMCWJ4UIEUQKN5H4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LHRQCZCE4AWMCWJ4UIEUQKN5H4/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":"2026-08-15T22:40:53Z","links":{"resolver":"https://pith.science/pith/LHRQCZCE4AWMCWJ4UIEUQKN5H4","bundle":"https://pith.science/pith/LHRQCZCE4AWMCWJ4UIEUQKN5H4/bundle.json","state":"https://pith.science/pith/LHRQCZCE4AWMCWJ4UIEUQKN5H4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LHRQCZCE4AWMCWJ4UIEUQKN5H4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:LHRQCZCE4AWMCWJ4UIEUQKN5H4","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":"21c194a8babe4c85da54955c5d0aa61895fde7098f22c6fd85d942d56d0e131a","cross_cats_sorted":["cs.RO"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-27T13:25:47Z","title_canon_sha256":"80352c1b2fe530cda2b330ace2ec28d484569772a624cc526e12749919aae3c4"},"schema_version":"1.0","source":{"id":"2311.15803","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.15803","created_at":"2026-07-05T08:01:17Z"},{"alias_kind":"arxiv_version","alias_value":"2311.15803v3","created_at":"2026-07-05T08:01:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.15803","created_at":"2026-07-05T08:01:17Z"},{"alias_kind":"pith_short_12","alias_value":"LHRQCZCE4AWM","created_at":"2026-07-05T08:01:17Z"},{"alias_kind":"pith_short_16","alias_value":"LHRQCZCE4AWMCWJ4","created_at":"2026-07-05T08:01:17Z"},{"alias_kind":"pith_short_8","alias_value":"LHRQCZCE","created_at":"2026-07-05T08:01:17Z"}],"graph_snapshots":[{"event_id":"sha256:daf188b6b1b8f417c40f95b9a8113a26847683a72f6a60d0fb1d06af826afcdd","target":"graph","created_at":"2026-07-05T08:01:17Z","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/2311.15803/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In rapidly-evolving domains such as autonomous driving, the use of multiple sensors with different modalities is crucial to ensure high operational precision and stability. To correctly exploit the provided information by each sensor in a single common frame, it is essential for these sensors to be accurately calibrated. In this paper, we leverage the ability of Neural Radiance Fields (NeRF) to represent different sensors modalities in a common volumetric representation to achieve robust and accurate spatio-temporal sensor calibration. By designing a partitioning approach based on the visible ","authors_text":"C\\'edric Demonceaux, Cyrille Migniot, Dzmitry Tsishkou, Luis Rold\\~ao, Moussab Bennehar, Nathan Piasco, Pascal Vasseur, Quentin Herau","cross_cats":["cs.RO"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-27T13:25:47Z","title":"SOAC: Spatio-Temporal Overlap-Aware Multi-Sensor Calibration using Neural Radiance Fields"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.15803","kind":"arxiv","version":3},"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:a8749dc32e684b9578e88a9e0de1b72f7df97c3e3a7ff95ee2dac3f9e33a534e","target":"record","created_at":"2026-07-05T08:01:17Z","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":"21c194a8babe4c85da54955c5d0aa61895fde7098f22c6fd85d942d56d0e131a","cross_cats_sorted":["cs.RO"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-27T13:25:47Z","title_canon_sha256":"80352c1b2fe530cda2b330ace2ec28d484569772a624cc526e12749919aae3c4"},"schema_version":"1.0","source":{"id":"2311.15803","kind":"arxiv","version":3}},"canonical_sha256":"59e3016444e02cc1593ca2094829bd3f00f9787d247579f80f77652c41dac179","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"59e3016444e02cc1593ca2094829bd3f00f9787d247579f80f77652c41dac179","first_computed_at":"2026-07-05T08:01:17.245087Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:01:17.245087Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6u5W5OVEOh918J3jiljbEaZg1g4IPGsaWcetCBYi7naW2TBC0l5lwEVqXi+Zja8M2hpZ3+QpMGi1Ei06qiiTAg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:01:17.245507Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.15803","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a8749dc32e684b9578e88a9e0de1b72f7df97c3e3a7ff95ee2dac3f9e33a534e","sha256:daf188b6b1b8f417c40f95b9a8113a26847683a72f6a60d0fb1d06af826afcdd"],"state_sha256":"dbf649c136dd626b2c1b4147e8e36ff0d46cceab00775bc8eb3d7fd59351667d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wUngMQDG9w2Skbdm3Kjb9lMwmYINMoXFYfozJqLdSGh010fEpp33SLi9SNnqbP9krVxkVF7ybio4we6VUl7CBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T22:40:53.504873Z","bundle_sha256":"f597e810ff1d80eed7b794bdd227cf195c5d99878c223ba4d32d55e38969865d"}}