{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:ITCVW6OHKTQOL2XV6ALCTBID7N","short_pith_number":"pith:ITCVW6OH","canonical_record":{"source":{"id":"2606.23031","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-22T08:42:16Z","cross_cats_sorted":[],"title_canon_sha256":"e8817e7ed55b9f10497e4bdd80d6869577c8c36f706256610258219f89fad683","abstract_canon_sha256":"1744da4262d486747b385c56f4dbbe79c5921d102d9768d06b9c96809eb468aa"},"schema_version":"1.0"},"canonical_sha256":"44c55b79c754e0e5eaf5f016298503fb56927e78ee8e584fbdd1022c2795f7f1","source":{"kind":"arxiv","id":"2606.23031","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.23031","created_at":"2026-06-23T03:14:07Z"},{"alias_kind":"arxiv_version","alias_value":"2606.23031v1","created_at":"2026-06-23T03:14:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.23031","created_at":"2026-06-23T03:14:07Z"},{"alias_kind":"pith_short_12","alias_value":"ITCVW6OHKTQO","created_at":"2026-06-23T03:14:07Z"},{"alias_kind":"pith_short_16","alias_value":"ITCVW6OHKTQOL2XV","created_at":"2026-06-23T03:14:07Z"},{"alias_kind":"pith_short_8","alias_value":"ITCVW6OH","created_at":"2026-06-23T03:14:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:ITCVW6OHKTQOL2XV6ALCTBID7N","target":"record","payload":{"canonical_record":{"source":{"id":"2606.23031","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-22T08:42:16Z","cross_cats_sorted":[],"title_canon_sha256":"e8817e7ed55b9f10497e4bdd80d6869577c8c36f706256610258219f89fad683","abstract_canon_sha256":"1744da4262d486747b385c56f4dbbe79c5921d102d9768d06b9c96809eb468aa"},"schema_version":"1.0"},"canonical_sha256":"44c55b79c754e0e5eaf5f016298503fb56927e78ee8e584fbdd1022c2795f7f1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-23T03:14:07.255978Z","signature_b64":"kol7dd7EfPgIq9ZQy9dsTEf1/VTQp0/t9Nkc44sR1X1ndAnVs2vJ/6exXmOGURrCxi8A4Ql3mY8gnJPd9Yb/Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"44c55b79c754e0e5eaf5f016298503fb56927e78ee8e584fbdd1022c2795f7f1","last_reissued_at":"2026-06-23T03:14:07.255522Z","signature_status":"signed_v1","first_computed_at":"2026-06-23T03:14:07.255522Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.23031","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":"2026-06-23T03:14:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VVwg4BVd9cMIn3pKNKmneTJP1cc/luiC0X4DI5ETpQ4klhg3xcX+wn1+HbnuWKkJANRKIDGVLhcc8ClGyuxvCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T13:53:48.889499Z"},"content_sha256":"32618cc9302e656a80d16458bfdc95d13df6eab180be205e6b94459842b9d684","schema_version":"1.0","event_id":"sha256:32618cc9302e656a80d16458bfdc95d13df6eab180be205e6b94459842b9d684"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:ITCVW6OHKTQOL2XV6ALCTBID7N","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DrivingVoxels: Compositional Sparse Voxel Rasterization for Dynamic Driving Scene Reconstruction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dzmitry Tsishkou, Luis Rold\\~ao, Moussab Bennehar, Nathan Piasco, Pietro Michiardi, Simone Rossi, Tania Aguirre","submitted_at":"2026-06-22T08:42:16Z","abstract_excerpt":"Reconstructing dynamic urban scenes remains challenging due to the unbounded nature of driving environments and the presence of multiple dynamic objects. Currently, potentially faster sparse voxel methods are mainly designed for static scenarios. On the other hand, dynamic approaches based on 3D Gaussian Splatting, despite their high-fidelity, are often time-consuming for driving scenarios and exhibit uncontrollable memory growth in large scenes. To address these limitations, we present DrivingVoxels, a compositional sparse voxel rendering framework for dynamic driving scenes. Our method joint"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.23031","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/2606.23031/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":"2026-06-23T03:14:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2vB6/kKUvqRokEv+DZeIK3E1cOsJPw00JL09hDruVuFLaJj0g9zxGi4Yak8+czVegZr8x9Bmgwvgps1pokkJCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T13:53:48.889865Z"},"content_sha256":"30b91fd9f0b84f672a7539bfcbeb9995c81fd6e8f05d07bddb32d55334a96cbb","schema_version":"1.0","event_id":"sha256:30b91fd9f0b84f672a7539bfcbeb9995c81fd6e8f05d07bddb32d55334a96cbb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ITCVW6OHKTQOL2XV6ALCTBID7N/bundle.json","state_url":"https://pith.science/pith/ITCVW6OHKTQOL2XV6ALCTBID7N/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ITCVW6OHKTQOL2XV6ALCTBID7N/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":"2026-07-07T13:53:48Z","links":{"resolver":"https://pith.science/pith/ITCVW6OHKTQOL2XV6ALCTBID7N","bundle":"https://pith.science/pith/ITCVW6OHKTQOL2XV6ALCTBID7N/bundle.json","state":"https://pith.science/pith/ITCVW6OHKTQOL2XV6ALCTBID7N/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ITCVW6OHKTQOL2XV6ALCTBID7N/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:ITCVW6OHKTQOL2XV6ALCTBID7N","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":"1744da4262d486747b385c56f4dbbe79c5921d102d9768d06b9c96809eb468aa","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-22T08:42:16Z","title_canon_sha256":"e8817e7ed55b9f10497e4bdd80d6869577c8c36f706256610258219f89fad683"},"schema_version":"1.0","source":{"id":"2606.23031","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.23031","created_at":"2026-06-23T03:14:07Z"},{"alias_kind":"arxiv_version","alias_value":"2606.23031v1","created_at":"2026-06-23T03:14:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.23031","created_at":"2026-06-23T03:14:07Z"},{"alias_kind":"pith_short_12","alias_value":"ITCVW6OHKTQO","created_at":"2026-06-23T03:14:07Z"},{"alias_kind":"pith_short_16","alias_value":"ITCVW6OHKTQOL2XV","created_at":"2026-06-23T03:14:07Z"},{"alias_kind":"pith_short_8","alias_value":"ITCVW6OH","created_at":"2026-06-23T03:14:07Z"}],"graph_snapshots":[{"event_id":"sha256:30b91fd9f0b84f672a7539bfcbeb9995c81fd6e8f05d07bddb32d55334a96cbb","target":"graph","created_at":"2026-06-23T03:14:07Z","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/2606.23031/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Reconstructing dynamic urban scenes remains challenging due to the unbounded nature of driving environments and the presence of multiple dynamic objects. Currently, potentially faster sparse voxel methods are mainly designed for static scenarios. On the other hand, dynamic approaches based on 3D Gaussian Splatting, despite their high-fidelity, are often time-consuming for driving scenarios and exhibit uncontrollable memory growth in large scenes. To address these limitations, we present DrivingVoxels, a compositional sparse voxel rendering framework for dynamic driving scenes. Our method joint","authors_text":"Dzmitry Tsishkou, Luis Rold\\~ao, Moussab Bennehar, Nathan Piasco, Pietro Michiardi, Simone Rossi, Tania Aguirre","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-22T08:42:16Z","title":"DrivingVoxels: Compositional Sparse Voxel Rasterization for Dynamic Driving Scene Reconstruction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.23031","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":"sha256:32618cc9302e656a80d16458bfdc95d13df6eab180be205e6b94459842b9d684","target":"record","created_at":"2026-06-23T03:14:07Z","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":"1744da4262d486747b385c56f4dbbe79c5921d102d9768d06b9c96809eb468aa","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-22T08:42:16Z","title_canon_sha256":"e8817e7ed55b9f10497e4bdd80d6869577c8c36f706256610258219f89fad683"},"schema_version":"1.0","source":{"id":"2606.23031","kind":"arxiv","version":1}},"canonical_sha256":"44c55b79c754e0e5eaf5f016298503fb56927e78ee8e584fbdd1022c2795f7f1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"44c55b79c754e0e5eaf5f016298503fb56927e78ee8e584fbdd1022c2795f7f1","first_computed_at":"2026-06-23T03:14:07.255522Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-23T03:14:07.255522Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kol7dd7EfPgIq9ZQy9dsTEf1/VTQp0/t9Nkc44sR1X1ndAnVs2vJ/6exXmOGURrCxi8A4Ql3mY8gnJPd9Yb/Aw==","signature_status":"signed_v1","signed_at":"2026-06-23T03:14:07.255978Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.23031","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:32618cc9302e656a80d16458bfdc95d13df6eab180be205e6b94459842b9d684","sha256:30b91fd9f0b84f672a7539bfcbeb9995c81fd6e8f05d07bddb32d55334a96cbb"],"state_sha256":"43e90f38f35526a8d9367278aef3f753ab6861aabe1ae82007e2c605d2627d6e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jFww6+j4Xb2VaIvDDuksby4XBl5groie6JH6gP5Ka2+xijGW1wx1vpg/cu4EM35TYHfc4W9pdnVNPQM0U7lLAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T13:53:48.891773Z","bundle_sha256":"5b5efdd3f47b35c4045f510672677934a82d4dcd9937dbaa2f4f155c4b15498d"}}