{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:ZOSUMP3UIMOJ2IUHFFICR7QZN7","short_pith_number":"pith:ZOSUMP3U","canonical_record":{"source":{"id":"2506.19615","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-24T13:32:15Z","cross_cats_sorted":[],"title_canon_sha256":"0b12e2a0bf6adb6086e0fd4e3ef17df98d37ba16eec274b4a2c509419c6cfaf1","abstract_canon_sha256":"852bf74c3e94c125bc693d5711480ef25584408da92ca54d436d65a611b953c7"},"schema_version":"1.0"},"canonical_sha256":"cba5463f74431c9d2287295028fe196fda253693ede1b3a7a2131820c3ef8f91","source":{"kind":"arxiv","id":"2506.19615","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.19615","created_at":"2026-07-05T11:26:54Z"},{"alias_kind":"arxiv_version","alias_value":"2506.19615v2","created_at":"2026-07-05T11:26:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.19615","created_at":"2026-07-05T11:26:54Z"},{"alias_kind":"pith_short_12","alias_value":"ZOSUMP3UIMOJ","created_at":"2026-07-05T11:26:54Z"},{"alias_kind":"pith_short_16","alias_value":"ZOSUMP3UIMOJ2IUH","created_at":"2026-07-05T11:26:54Z"},{"alias_kind":"pith_short_8","alias_value":"ZOSUMP3U","created_at":"2026-07-05T11:26:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:ZOSUMP3UIMOJ2IUHFFICR7QZN7","target":"record","payload":{"canonical_record":{"source":{"id":"2506.19615","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-24T13:32:15Z","cross_cats_sorted":[],"title_canon_sha256":"0b12e2a0bf6adb6086e0fd4e3ef17df98d37ba16eec274b4a2c509419c6cfaf1","abstract_canon_sha256":"852bf74c3e94c125bc693d5711480ef25584408da92ca54d436d65a611b953c7"},"schema_version":"1.0"},"canonical_sha256":"cba5463f74431c9d2287295028fe196fda253693ede1b3a7a2131820c3ef8f91","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:26:54.139655Z","signature_b64":"coBxpv8r71n3lyu6vMBqb8Y9pHvZbwg5KPhHTtZoiBxVIKWVtzbDdXhsZoKcrt+pyHHZdURJd20CjsPHzhQaBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cba5463f74431c9d2287295028fe196fda253693ede1b3a7a2131820c3ef8f91","last_reissued_at":"2026-07-05T11:26:54.139186Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:26:54.139186Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.19615","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:26:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mn0dSB66xDegYiNsxFCLm/AK7L/rCXNA3IeLsmGV2d80nTO2tgGuFKD+KuGm4SWzHDQNjp7A7Yo8ND6dtIw1Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T11:53:22.727322Z"},"content_sha256":"35ada63a87cdf342213e5654e188e7a2d9edecee9f9f797262d97f52405f6ffd","schema_version":"1.0","event_id":"sha256:35ada63a87cdf342213e5654e188e7a2d9edecee9f9f797262d97f52405f6ffd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:ZOSUMP3UIMOJ2IUHFFICR7QZN7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Self-Supervised Multimodal NeRF for Autonomous Driving","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Gaurav Sharma, Josef Schmid, Ravi Kothari","submitted_at":"2025-06-24T13:32:15Z","abstract_excerpt":"In this paper, we propose a Neural Radiance Fields (NeRF) based framework, referred to as Novel View Synthesis Framework (NVSF). It jointly learns the implicit neural representation of space and time-varying scene for both LiDAR and Camera. We test this on a real-world autonomous driving scenario containing both static and dynamic scenes. Compared to existing multimodal dynamic NeRFs, our framework is self-supervised, thus eliminating the need for 3D labels. For efficient training and faster convergence, we introduce heuristic-based image pixel sampling to focus on pixels with rich information"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.19615","kind":"arxiv","version":2},"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/2506.19615/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":"2026-07-05T11:26:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Mh/Hf1Gm0xh+NLgS4w17bwoeEoCBFnaVQyBX8nxrRLOkrfsFt/O/ma6Ki3rTRfW1ZcqOHnYWAwna/dlyWV0wAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T11:53:22.727797Z"},"content_sha256":"10cabf7649ab482b1d3fbd2011b45e7968ba5e63668e1263119fc76b0577f1c9","schema_version":"1.0","event_id":"sha256:10cabf7649ab482b1d3fbd2011b45e7968ba5e63668e1263119fc76b0577f1c9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZOSUMP3UIMOJ2IUHFFICR7QZN7/bundle.json","state_url":"https://pith.science/pith/ZOSUMP3UIMOJ2IUHFFICR7QZN7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZOSUMP3UIMOJ2IUHFFICR7QZN7/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":"2026-08-07T11:53:22Z","links":{"resolver":"https://pith.science/pith/ZOSUMP3UIMOJ2IUHFFICR7QZN7","bundle":"https://pith.science/pith/ZOSUMP3UIMOJ2IUHFFICR7QZN7/bundle.json","state":"https://pith.science/pith/ZOSUMP3UIMOJ2IUHFFICR7QZN7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZOSUMP3UIMOJ2IUHFFICR7QZN7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ZOSUMP3UIMOJ2IUHFFICR7QZN7","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":"852bf74c3e94c125bc693d5711480ef25584408da92ca54d436d65a611b953c7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-24T13:32:15Z","title_canon_sha256":"0b12e2a0bf6adb6086e0fd4e3ef17df98d37ba16eec274b4a2c509419c6cfaf1"},"schema_version":"1.0","source":{"id":"2506.19615","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.19615","created_at":"2026-07-05T11:26:54Z"},{"alias_kind":"arxiv_version","alias_value":"2506.19615v2","created_at":"2026-07-05T11:26:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.19615","created_at":"2026-07-05T11:26:54Z"},{"alias_kind":"pith_short_12","alias_value":"ZOSUMP3UIMOJ","created_at":"2026-07-05T11:26:54Z"},{"alias_kind":"pith_short_16","alias_value":"ZOSUMP3UIMOJ2IUH","created_at":"2026-07-05T11:26:54Z"},{"alias_kind":"pith_short_8","alias_value":"ZOSUMP3U","created_at":"2026-07-05T11:26:54Z"}],"graph_snapshots":[{"event_id":"sha256:10cabf7649ab482b1d3fbd2011b45e7968ba5e63668e1263119fc76b0577f1c9","target":"graph","created_at":"2026-07-05T11:26:54Z","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/2506.19615/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we propose a Neural Radiance Fields (NeRF) based framework, referred to as Novel View Synthesis Framework (NVSF). It jointly learns the implicit neural representation of space and time-varying scene for both LiDAR and Camera. We test this on a real-world autonomous driving scenario containing both static and dynamic scenes. Compared to existing multimodal dynamic NeRFs, our framework is self-supervised, thus eliminating the need for 3D labels. For efficient training and faster convergence, we introduce heuristic-based image pixel sampling to focus on pixels with rich information","authors_text":"Gaurav Sharma, Josef Schmid, Ravi Kothari","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-24T13:32:15Z","title":"Self-Supervised Multimodal NeRF for Autonomous Driving"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.19615","kind":"arxiv","version":2},"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":"sha256:35ada63a87cdf342213e5654e188e7a2d9edecee9f9f797262d97f52405f6ffd","target":"record","created_at":"2026-07-05T11:26:54Z","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":"852bf74c3e94c125bc693d5711480ef25584408da92ca54d436d65a611b953c7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-24T13:32:15Z","title_canon_sha256":"0b12e2a0bf6adb6086e0fd4e3ef17df98d37ba16eec274b4a2c509419c6cfaf1"},"schema_version":"1.0","source":{"id":"2506.19615","kind":"arxiv","version":2}},"canonical_sha256":"cba5463f74431c9d2287295028fe196fda253693ede1b3a7a2131820c3ef8f91","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cba5463f74431c9d2287295028fe196fda253693ede1b3a7a2131820c3ef8f91","first_computed_at":"2026-07-05T11:26:54.139186Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:26:54.139186Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"coBxpv8r71n3lyu6vMBqb8Y9pHvZbwg5KPhHTtZoiBxVIKWVtzbDdXhsZoKcrt+pyHHZdURJd20CjsPHzhQaBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:26:54.139655Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.19615","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:35ada63a87cdf342213e5654e188e7a2d9edecee9f9f797262d97f52405f6ffd","sha256:10cabf7649ab482b1d3fbd2011b45e7968ba5e63668e1263119fc76b0577f1c9"],"state_sha256":"8a8ab7bba1b307ba0d7bda7c6f8c84cf140f8b9820bffb78a71227e80e6c242a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2Km311Jr0X6J5Cdipiw4tVxi7YZwOQHd7p2xV8SOEKlYP6zVRLqRKs49aklrseXqJmHodEsI+J3y3LgZisXZBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T11:53:22.731768Z","bundle_sha256":"9cfd6c4dc98b88df8e1b08f14342e47780bad07221057b3577c2c174a45f49a3"}}