{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:AJXNECZTSSYN5UDOORTPC3F5BZ","short_pith_number":"pith:AJXNECZT","canonical_record":{"source":{"id":"2409.10041","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-16T07:11:58Z","cross_cats_sorted":[],"title_canon_sha256":"ec1f7d53ecde6749e31a304de95e93b0f640707bb0ba8d132ac6ad7ea8b34f7a","abstract_canon_sha256":"7dcf84d823d083034772324ed1d0185f7933a2f02bfe378036776b280d2bfd88"},"schema_version":"1.0"},"canonical_sha256":"026ed20b3394b0ded06e7466f16cbd0e4a0c2cb9034a18058e3d263a9ec4a702","source":{"kind":"arxiv","id":"2409.10041","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.10041","created_at":"2026-07-05T09:07:33Z"},{"alias_kind":"arxiv_version","alias_value":"2409.10041v1","created_at":"2026-07-05T09:07:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.10041","created_at":"2026-07-05T09:07:33Z"},{"alias_kind":"pith_short_12","alias_value":"AJXNECZTSSYN","created_at":"2026-07-05T09:07:33Z"},{"alias_kind":"pith_short_16","alias_value":"AJXNECZTSSYN5UDO","created_at":"2026-07-05T09:07:33Z"},{"alias_kind":"pith_short_8","alias_value":"AJXNECZT","created_at":"2026-07-05T09:07:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:AJXNECZTSSYN5UDOORTPC3F5BZ","target":"record","payload":{"canonical_record":{"source":{"id":"2409.10041","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-16T07:11:58Z","cross_cats_sorted":[],"title_canon_sha256":"ec1f7d53ecde6749e31a304de95e93b0f640707bb0ba8d132ac6ad7ea8b34f7a","abstract_canon_sha256":"7dcf84d823d083034772324ed1d0185f7933a2f02bfe378036776b280d2bfd88"},"schema_version":"1.0"},"canonical_sha256":"026ed20b3394b0ded06e7466f16cbd0e4a0c2cb9034a18058e3d263a9ec4a702","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:07:33.876625Z","signature_b64":"pxbhtgfFo8aE4oiZF5yfOmUEcSt2+oFpHzc7rN2PWUHCwpwWNwkcpyUxnWqAbpSuG58UPGsn6LbsOO04LM0oCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"026ed20b3394b0ded06e7466f16cbd0e4a0c2cb9034a18058e3d263a9ec4a702","last_reissued_at":"2026-07-05T09:07:33.876165Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:07:33.876165Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.10041","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":"2026-07-05T09:07:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wvlmd0LFvPkgxN43qSFIqTmu7EUUGdM+e298ciG3lw3r0Sk19dYtxlJ8+ne0g88652v4vU1U6SMGrM269wB0Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T20:12:04.659940Z"},"content_sha256":"c11953a4f5e16cc206cc47d9c86a7c628150e7e780540eb0fd42b0fdc4772f28","schema_version":"1.0","event_id":"sha256:c11953a4f5e16cc206cc47d9c86a7c628150e7e780540eb0fd42b0fdc4772f28"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:AJXNECZTSSYN5UDOORTPC3F5BZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DENSER: 3D Gaussians Splatting for Scene Reconstruction of Dynamic Urban Environments","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Arthur Hubert, Gamal Elghazaly, Mahmud A. Mohamad, Raphael Frank","submitted_at":"2024-09-16T07:11:58Z","abstract_excerpt":"This paper presents DENSER, an efficient and effective approach leveraging 3D Gaussian splatting (3DGS) for the reconstruction of dynamic urban environments. While several methods for photorealistic scene representations, both implicitly using neural radiance fields (NeRF) and explicitly using 3DGS have shown promising results in scene reconstruction of relatively complex dynamic scenes, modeling the dynamic appearance of foreground objects tend to be challenging, limiting the applicability of these methods to capture subtleties and details of the scenes, especially far dynamic objects. To thi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.10041","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/2409.10041/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":"2026-07-05T09:07:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5yd2EOVjrqKzCN79c7U+40nSPUwbOaoAvydYYIioikVR2ST9zscPmRKntQtj7lyPNIKF7u7DsdGU/+VOIv7qCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T20:12:04.660499Z"},"content_sha256":"fd60008ab32e09635f8fd285f4f8a1d4ed2c4281581548c4b33abf6f68b3d87f","schema_version":"1.0","event_id":"sha256:fd60008ab32e09635f8fd285f4f8a1d4ed2c4281581548c4b33abf6f68b3d87f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AJXNECZTSSYN5UDOORTPC3F5BZ/bundle.json","state_url":"https://pith.science/pith/AJXNECZTSSYN5UDOORTPC3F5BZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AJXNECZTSSYN5UDOORTPC3F5BZ/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":"2026-08-11T20:12:04Z","links":{"resolver":"https://pith.science/pith/AJXNECZTSSYN5UDOORTPC3F5BZ","bundle":"https://pith.science/pith/AJXNECZTSSYN5UDOORTPC3F5BZ/bundle.json","state":"https://pith.science/pith/AJXNECZTSSYN5UDOORTPC3F5BZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AJXNECZTSSYN5UDOORTPC3F5BZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:AJXNECZTSSYN5UDOORTPC3F5BZ","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":"7dcf84d823d083034772324ed1d0185f7933a2f02bfe378036776b280d2bfd88","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-16T07:11:58Z","title_canon_sha256":"ec1f7d53ecde6749e31a304de95e93b0f640707bb0ba8d132ac6ad7ea8b34f7a"},"schema_version":"1.0","source":{"id":"2409.10041","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.10041","created_at":"2026-07-05T09:07:33Z"},{"alias_kind":"arxiv_version","alias_value":"2409.10041v1","created_at":"2026-07-05T09:07:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.10041","created_at":"2026-07-05T09:07:33Z"},{"alias_kind":"pith_short_12","alias_value":"AJXNECZTSSYN","created_at":"2026-07-05T09:07:33Z"},{"alias_kind":"pith_short_16","alias_value":"AJXNECZTSSYN5UDO","created_at":"2026-07-05T09:07:33Z"},{"alias_kind":"pith_short_8","alias_value":"AJXNECZT","created_at":"2026-07-05T09:07:33Z"}],"graph_snapshots":[{"event_id":"sha256:fd60008ab32e09635f8fd285f4f8a1d4ed2c4281581548c4b33abf6f68b3d87f","target":"graph","created_at":"2026-07-05T09:07:33Z","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/2409.10041/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper presents DENSER, an efficient and effective approach leveraging 3D Gaussian splatting (3DGS) for the reconstruction of dynamic urban environments. While several methods for photorealistic scene representations, both implicitly using neural radiance fields (NeRF) and explicitly using 3DGS have shown promising results in scene reconstruction of relatively complex dynamic scenes, modeling the dynamic appearance of foreground objects tend to be challenging, limiting the applicability of these methods to capture subtleties and details of the scenes, especially far dynamic objects. To thi","authors_text":"Arthur Hubert, Gamal Elghazaly, Mahmud A. Mohamad, Raphael Frank","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-16T07:11:58Z","title":"DENSER: 3D Gaussians Splatting for Scene Reconstruction of Dynamic Urban Environments"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.10041","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:c11953a4f5e16cc206cc47d9c86a7c628150e7e780540eb0fd42b0fdc4772f28","target":"record","created_at":"2026-07-05T09:07:33Z","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":"7dcf84d823d083034772324ed1d0185f7933a2f02bfe378036776b280d2bfd88","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-16T07:11:58Z","title_canon_sha256":"ec1f7d53ecde6749e31a304de95e93b0f640707bb0ba8d132ac6ad7ea8b34f7a"},"schema_version":"1.0","source":{"id":"2409.10041","kind":"arxiv","version":1}},"canonical_sha256":"026ed20b3394b0ded06e7466f16cbd0e4a0c2cb9034a18058e3d263a9ec4a702","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"026ed20b3394b0ded06e7466f16cbd0e4a0c2cb9034a18058e3d263a9ec4a702","first_computed_at":"2026-07-05T09:07:33.876165Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:07:33.876165Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pxbhtgfFo8aE4oiZF5yfOmUEcSt2+oFpHzc7rN2PWUHCwpwWNwkcpyUxnWqAbpSuG58UPGsn6LbsOO04LM0oCg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:07:33.876625Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.10041","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c11953a4f5e16cc206cc47d9c86a7c628150e7e780540eb0fd42b0fdc4772f28","sha256:fd60008ab32e09635f8fd285f4f8a1d4ed2c4281581548c4b33abf6f68b3d87f"],"state_sha256":"80498ecb951abac6f5019a08ffda60285856c78af85e7aca4277be611867c1e7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"m+kpN+/oaHoGRKlF3FtAN/munUhEio2Ve+hO+T3D4xXC+C2wWv1ctFa7HxvdEje7JSE5huohKlbfY9sFPVQ5Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T20:12:04.668840Z","bundle_sha256":"882f48215dc2b893f04449bbea29d1c5484a510199705f9f1fe2033e54d9da60"}}