{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:EJN6A2WXHMBH77JHK7YJJJDPOI","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":"79d94cec679935b93c47e84f25017d4f48f75648b5a9ea718cf367ee81d9add4","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2024-07-01T14:01:45Z","title_canon_sha256":"e341077961b16b04d4d6d069872304eb5ef8816bfe198bebf4051fd39613ebe5"},"schema_version":"1.0","source":{"id":"2407.01303","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.01303","created_at":"2026-07-05T08:38:45Z"},{"alias_kind":"arxiv_version","alias_value":"2407.01303v1","created_at":"2026-07-05T08:38:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.01303","created_at":"2026-07-05T08:38:45Z"},{"alias_kind":"pith_short_12","alias_value":"EJN6A2WXHMBH","created_at":"2026-07-05T08:38:45Z"},{"alias_kind":"pith_short_16","alias_value":"EJN6A2WXHMBH77JH","created_at":"2026-07-05T08:38:45Z"},{"alias_kind":"pith_short_8","alias_value":"EJN6A2WX","created_at":"2026-07-05T08:38:45Z"}],"graph_snapshots":[{"event_id":"sha256:d4e2e7c1a77121e2455ee25858f3cbe5c827ae0f471007bc749664071e5d8d62","target":"graph","created_at":"2026-07-05T08:38:45Z","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/2407.01303/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Leveraging neural implicit representation to conduct dense RGB-D SLAM has been studied in recent years. However, this approach relies on a static environment assumption and does not work robustly within a dynamic environment due to the inconsistent observation of geometry and photometry. To address the challenges presented in dynamic environments, we propose a novel dynamic SLAM framework with neural radiance field. Specifically, we introduce a motion mask generation method to filter out the invalid sampled rays. This design effectively fuses the optical flow mask and semantic mask to enhance ","authors_text":"Haochen Jiang, Jianfeng Feng, Kejie Li, Li Zhang, Yueming Xu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2024-07-01T14:01:45Z","title":"RoDyn-SLAM: Robust Dynamic Dense RGB-D SLAM with Neural Radiance Fields"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.01303","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":"sha256:496991dff6361a5bfd80b37b94b72c2ea49cc15809d40075137e3b8c840d6e92","target":"record","created_at":"2026-07-05T08:38:45Z","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":"79d94cec679935b93c47e84f25017d4f48f75648b5a9ea718cf367ee81d9add4","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2024-07-01T14:01:45Z","title_canon_sha256":"e341077961b16b04d4d6d069872304eb5ef8816bfe198bebf4051fd39613ebe5"},"schema_version":"1.0","source":{"id":"2407.01303","kind":"arxiv","version":1}},"canonical_sha256":"225be06ad73b027ffd2757f094a46f72064d0438b5cfb5b9f5c48508f41cf5a2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"225be06ad73b027ffd2757f094a46f72064d0438b5cfb5b9f5c48508f41cf5a2","first_computed_at":"2026-07-05T08:38:45.999524Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:38:45.999524Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XLkOpcHbd63R2wBusXAOL/1UNHsPo97Vx8QOKZlumc5gHeY6aHCtUruALTyiA7EQuuRCIlwDYur6FbVpTfO3Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:38:45.999979Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.01303","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:496991dff6361a5bfd80b37b94b72c2ea49cc15809d40075137e3b8c840d6e92","sha256:d4e2e7c1a77121e2455ee25858f3cbe5c827ae0f471007bc749664071e5d8d62"],"state_sha256":"095a76ef176517e338f7c66909b090785be2185ffa9905b8510aee4b669d3a75"}