{"as_of":"2026-08-23T13:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d2c8e6ff5c4334171efc5ac8c5dc765b767f6e1298bf0d7e28ea09821c34a08a","coverage":[{"denominator":44,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":44,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T21:42:33.535092Z","state":"measured"},{"denominator":46,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":46,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T13:21:32.009107Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-05T10:47:44.755090Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.08373","snapshot_observed_at":"2026-08-05T13:21:32.009107Z","title":"Dg-slam: Robust dynamic gaussian splatting slam with hybrid pose optimization,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.00741","last_updated":"2025-08-31T08:22:29Z","snapshot_observed_at":"2026-08-13T08:19:07.975728Z","submitted_at":"2025-08-31T08:22:29Z","title":"DyPho-SLAM : Real-time Photorealistic SLAM in Dynamic Environments","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T13:21:32.009107Z"},"links":{"cited_paper":"/paper/2411.08373","citing_paper":"/paper/2509.00741"},"observation_digest":"sha256:b36701d56e349851818e6a51458d85e2811955d6f62280774ee3dc0f4a44d308","observation_id":"6de6e015-b995-4218-ae3f-c6ca07ed65d0","resolution":{"observed_at":"2026-08-05T13:21:32.009107Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"cited_work":{"arxiv_id":"2411.08373","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.08373","snapshot_observed_at":"2026-08-05T10:47:44.755090Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","venue":"cs.RO","work_id":"32d49a1f-f410-4ee4-b1ec-8fb4a262551e","year":2024},"citing_paper":{"arxiv_id":"2509.03775","last_updated":"2025-09-03T23:40:17Z","snapshot_observed_at":"2026-08-23T01:09:33.020679Z","submitted_at":"2025-09-03T23:40:17Z","title":"ContraGS: Codebook-Condensed and Trainable Gaussian Splatting for Fast, Memory-Efficient Reconstruction","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-05T10:47:44.524543Z"},"links":{"cited_paper":"/paper/2411.08373","citing_paper":"/paper/2509.03775"},"observation_digest":"sha256:a40f9ee39bcc07ebf3cdaac38afd43f7bcbfdfb9d685d6b717bc7d7e0ecce47f","observation_id":"2449dcb3-9df3-460d-99b8-f871dde6f41e","resolution":{"observed_at":"2026-08-05T10:47:44.760129Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2411.08373/citation-record","integrity":"/paper/2411.08373/integrity","json":"/paper/2411.08373/citation-record.json","paper":"/paper/2411.08373"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:34.227419Z","title":"Simultaneous map building and localization for an autonomous mobile robot","venue":null,"work_id":"4773fe7c-227e-4c8f-b649-b550901ba700","year":1991},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.332665Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:ac4c384c5cf8d45adca5f41aceca79ef766e91e3a307e2bb8f36e31bb6d249e8","observation_id":"8d4d21f3-6e9d-4a15-8a91-39f2ad6f75b3","resolution":{"observed_at":"2026-08-12T21:42:34.232391Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:34.211626Z","title":"Orb-slam2: An open-source slam system for monocular, stereo, and rgb-d cameras","venue":null,"work_id":"5297017a-6173-4dd9-8c5c-68c9a5ead2f3","year":2017},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.338011Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:c0df53fe6ceac7f069598dfb7dd6f8bffb16c5ac709382129b49d34abcaf3e12","observation_id":"01f5fd46-d364-4d45-a63a-b23c1557ff54","resolution":{"observed_at":"2026-08-12T21:42:34.217008Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:34.195113Z","title":"Orb-slam3: An accurate open-source library for visual, visual–inertial, and multimap slam","venue":null,"work_id":"53e2d374-5809-4c4e-b504-574c2bc56462","year":2021},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.343038Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:353126eab7c72eb8a4e87c14cd9bf3181b46dbbbe615731805d06ebfb2494c74","observation_id":"3e5f71fb-7489-476e-8599-576011a28c73","resolution":{"observed_at":"2026-08-12T21:42:34.200686Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:34.180227Z","title":"Ul-slam: A universal monocular line-based slam via unifying structural and non-structural constraints","venue":null,"work_id":"c5ec25f6-b03a-4112-8b93-70ad18c8df52","year":null},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.348191Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:f03fed4cb683ea43851bdec54f819d06be02a6e05cc98a3a1253152d2d3579b0","observation_id":"add943ef-75ba-41d4-9398-71e14cb3236e","resolution":{"observed_at":"2026-08-12T21:42:34.185112Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:34.165244Z","title":"Refusion: 3d reconstruction in dynamic environments for rgb-d cameras exploiting residuals","venue":null,"work_id":"b88c47de-2d93-4cda-bca4-0ecb55e26938","year":2019},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.353252Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:659942661fd7f2a2d5211f04e35493ed8c094c48ed76e6c6f82042894908e1e8","observation_id":"0906c541-dbb5-4539-9f1d-7d17b89e2eb7","resolution":{"observed_at":"2026-08-12T21:42:34.170163Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:34.150167Z","title":"iMAP: Implicit mapping and positioning in real-time","venue":null,"work_id":"c331d868-3fad-4ca8-8567-8e240203c3c9","year":2021},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.358677Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:f2a785a1947172c5c892d447b09d1d67ae14e0f81cddc3b0ac3293b22aa5a186","observation_id":"a119e0fb-1660-46f2-805f-3cd3711aaff6","resolution":{"observed_at":"2026-08-12T21:42:34.155104Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:34.135866Z","title":"Oswald, and Marc Pollefeys","venue":null,"work_id":"c6949d68-ad0f-454d-9066-dc8c36221847","year":null},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.363776Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:658351cd4632cc74b4014a1e761bc5ab5ad25ef754acdfbea3030154a412ada2","observation_id":"2a46b91f-3b87-4f04-a457-698a793de548","resolution":{"observed_at":"2026-08-12T21:42:34.140715Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:34.120283Z","title":"Co-slam: Joint coordinate and sparse parametric encodings for neural real-time slam","venue":null,"work_id":"7ab7b0d1-8653-4548-bab7-b52d8e486c79","year":2023},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.368533Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:d60bca9c4b7860431a2323237bdf5b1f662879b1f65864b67047e4f797682cf2","observation_id":"ac6f9549-bf97-4762-a54b-0645822046a8","resolution":{"observed_at":"2026-08-12T21:42:34.125549Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:34.104826Z","title":"Eslam: Efficient dense slam system based on hybrid representation of signed distance fields","venue":null,"work_id":"96da1287-ec95-4bb8-90c5-c10f68d9d9dc","year":2023},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.373849Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:a880f5254ac329e10bdde2257a6323c2344cf890f20316e828372d7aced6f2c8","observation_id":"bc3fe1d7-6a0d-48a2-90ea-28ff29fbbba4","resolution":{"observed_at":"2026-08-12T21:42:34.109583Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:34.089427Z","title":"V ox- fusion: Dense tracking and mapping with voxel-based neural implicit representation","venue":null,"work_id":"b852c18c-6d50-4f41-b0bf-c7256c74ca5a","year":null},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.378503Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:7486fff22525bd78fbedc7408cecc2440718bc1ad5df3a05acebe493e26c3eca","observation_id":"173da29f-a5fa-4e1e-ae3c-ad12cb0f35ef","resolution":{"observed_at":"2026-08-12T21:42:34.094872Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:34.073681Z","title":"Kinectfusion: Real-time dense surface mapping and tracking","venue":null,"work_id":"7f27cb0b-8749-4c05-aa31-422c095ea488","year":2011},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.383610Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:28c2e95990992a6ac31ca1192dabdce0a184d08dfca5bedcc1b58216632c3f03","observation_id":"660ca0bd-72fa-4a93-92ea-2b8bf8c52ad7","resolution":{"observed_at":"2026-08-12T21:42:34.078749Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:34.058037Z","title":"Surfelmeshing: Online surfel-based mesh reconstruction","venue":null,"work_id":"cf5f892d-8759-4f79-8e97-eeaa6f66fd00","year":2019},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.388323Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:8b0add79a99dc606e267d3a7e42acb04d59d642d4c6ebe3015bf84321d5e973a","observation_id":"0e091896-e80c-4039-8e9c-778fa4608724","resolution":{"observed_at":"2026-08-12T21:42:34.063137Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:34.040694Z","title":"Bad slam: Bundle adjusted direct rgb-d slam","venue":null,"work_id":"7825c801-da32-4004-af2b-678424a9040f","year":2019},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.393081Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:87d3fc239bf8adafbd04d354c6a9f25c752f9f9190feb73d13e2649d55352557","observation_id":"c1348d89-d8ce-457b-852f-814d4d77a32d","resolution":{"observed_at":"2026-08-12T21:42:34.046020Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:34.023728Z","title":"Nerf: Representing scenes as neural radiance fields for view synthesis","venue":null,"work_id":"2ef9c3f6-4068-4d4b-afbf-7609f23bafd0","year":2021},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.397679Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:ce35b0a12067206a3a703f293a04e0b631fdd6d8c2c0b09e4855388ebaf1bd4d","observation_id":"fb997ec2-987a-430a-a6a0-92f0af3351f5","resolution":{"observed_at":"2026-08-12T21:42:34.029368Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:34.007507Z","title":"Gs-slam: Dense visual slam with 3d gaussian splatting","venue":null,"work_id":"f43eb2e1-d961-46db-8f30-469d5c29664c","year":2024},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.402325Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:d5c4317a87cd64ade81ab9448ee0f1fa6f2978c681f233b26424a2b884111e78","observation_id":"8850545e-4893-45a1-9230-134b2b81e765","resolution":{"observed_at":"2026-08-12T21:42:34.012608Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:33.991006Z","title":"Splatam: Splat, track & map 3d gaussians for dense rgb-d slam","venue":null,"work_id":"ed6652cf-4d8f-4e00-ae14-7f72ed753837","year":2024},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.406875Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:5c441ac518c8c70966300fb9fedbc5a7ad7872a6add9cb865201fc9a735a4369","observation_id":"fbf94bbe-8f1c-48f6-9818-7d1f5ad0ff42","resolution":{"observed_at":"2026-08-12T21:42:33.996684Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:33.976190Z","title":null,"venue":null,"work_id":"fa37ac68-c451-46e5-a838-a11b14287193","year":2024},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.411263Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:ba2e18d2dd0b76d721a8351ee93fed8a56a9ff8baa0a6faf61274b98116fc32c","observation_id":"3816acc2-608a-49fe-9249-cb72f7d5daa8","resolution":{"observed_at":"2026-08-12T21:42:33.980818Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:33.960503Z","title":"3d gaussian splatting for real-time radiance field rendering","venue":null,"work_id":"e06c173b-198f-4eb6-8045-866caeb5a969","year":2023},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.416011Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:1b9dc2f764ca6cf1968b29393c924001196dedb9a3c1a0d8876c0fe6ec3ea214","observation_id":"f7964c18-a2c3-4836-907c-861d3e091165","resolution":{"observed_at":"2026-08-12T21:42:33.965813Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:33.944418Z","title":"DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras","venue":null,"work_id":"35ba7583-2246-4d4e-8f97-d721435225f4","year":2021},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.420588Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:2f62217e8ae7322118daa2e57c2030fd7ef7accb05f13c44280104d16e4b096b","observation_id":"29ffc7a9-f0da-4f79-ac02-051399a02a30","resolution":{"observed_at":"2026-08-12T21:42:33.949322Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:33.929201Z","title":"Ds-slam: A semantic visual slam towards dynamic environments","venue":null,"work_id":"a94c7e1a-0b68-4ec4-a49e-7323a4f96055","year":2018},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.425164Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:f217f4608785792d93deaaca14712ec9e5ef362bf732ab19eb9234a1303487d9","observation_id":"c1ac0ca7-eda2-4daa-9947-9e2e8735e0d4","resolution":{"observed_at":"2026-08-12T21:42:33.934536Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:33.913598Z","title":"Dynaslam: Tracking, mapping, and inpainting in dynamic scenes","venue":null,"work_id":"372c52f1-d687-4507-886e-ea86402c2c94","year":2018},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.430068Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:f4b4277bef37b42ee6221cf06a89410114d084d1fd860573a6fc6255f3815e73","observation_id":"47a27119-7322-411b-b44a-ace136cdefc9","resolution":{"observed_at":"2026-08-12T21:42:33.918477Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:33.899082Z","title":"Dynamic-slam: Semantic monocular visual localization and mapping based on deep learning in dynamic environment","venue":null,"work_id":"08af6b8f-e4b2-441e-a9b8-21edb67c9e00","year":2019},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.434506Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:e57b7a1b5da7bc7f4cbc7f423e1e2dc4e23c8ba83cb1d6a27ee3285f613cf259","observation_id":"23a71204-05bc-4aff-9678-c588c7060f75","resolution":{"observed_at":"2026-08-12T21:42:33.903942Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:33.885207Z","title":"Dynaslam ii: Tightly-coupled multi-object tracking and slam","venue":null,"work_id":"fee9b349-0e31-4b9e-80be-a3d2f23e9571","year":2021},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.439075Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:44e5b955fb7015c98f5822ee234531004bcc36c643975f053601ee5df8bccc47","observation_id":"d7c86dda-783a-4be7-bc9c-6d167d3e6bae","resolution":{"observed_at":"2026-08-12T21:42:33.889722Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:33.870536Z","title":"Vdo-slam: a visual dynamic object-aware slam system","venue":null,"work_id":"f8a7af04-d8d5-48f1-be1b-0c20f1c5a3ab","year":2020},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.443677Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:e8b56ffe5b2cf66f47920881d4942e1cc541c1a8e22b729a28ce75b432560464","observation_id":"6e051830-2363-443e-a4f8-71b74754d8d3","resolution":{"observed_at":"2026-08-12T21:42:33.875480Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:33.855554Z","title":"Crowd-slam: visual slam towards crowded environments using object detection","venue":null,"work_id":"fec9e7bf-c46f-4ab4-b5bd-1eea1a3485bb","year":2021},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.448145Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:2d966a2b09837dd9c54287f5c188430b84e006ebb0e62fababd06ebc50a33484","observation_id":"6f0454ec-d0cc-4c47-822e-bc6e3239dfcb","resolution":{"observed_at":"2026-08-12T21:42:33.860608Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:33.840625Z","title":"Ddn-slam: Real-time dense dynamic neural implicit slam with joint semantic encoding","venue":null,"work_id":"08d9278d-ec51-4b24-b66a-e16c76a327a9","year":2024},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.452605Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:e3f04fb596b70ebcc1162fda7e75f90d1a0de5f39491ef6fd9886cb08fa5a354","observation_id":"2df0d6e1-674c-4251-8776-aa9389d5d5d5","resolution":{"observed_at":"2026-08-12T21:42:33.845659Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:33.826019Z","title":"Dytanvo: Joint refinement of visual odometry and motion segmentation in dynamic environments","venue":null,"work_id":"03b91c14-a5e3-4429-9493-1270139db278","year":2023},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.457192Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:b45cb7c07ac4514512b76cf4b05ce3b480b2fb87682cbd724556b718aadd62d5","observation_id":"a9a33843-8cb2-4182-adec-55ec75e7714d","resolution":{"observed_at":"2026-08-12T21:42:33.830986Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:33.811634Z","title":"Deflowslam: Self-supervised scene motion decomposition for dynamic dense slam","venue":null,"work_id":"369581e3-ecb3-49e8-8cf9-4c627d974d75","year":2022},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.461862Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:cf94bb29c7d1459a32f6fa21abb88d5a765ebb37bc4459be094e1f45202d58fe","observation_id":"6dac84e4-0724-4cfb-bd81-949ce8383de9","resolution":{"observed_at":"2026-08-12T21:42:33.816446Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:33.796845Z","title":"Nerf: Representing scenes as neural radiance fields for view synthesis","venue":null,"work_id":"330daaf4-5bfc-45b8-b828-a4311541ec71","year":2021},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.466895Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:615afe0160bcf0ec9c06e9df6533155ad443fa77fa80710195cb2038aea259fc","observation_id":"b45f529a-4a07-4719-a04e-a6104cb0e39f","resolution":{"observed_at":"2026-08-12T21:42:33.801748Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:33.781918Z","title":"Di-fusion: Online implicit 3d reconstruction with deep priors","venue":null,"work_id":"be76f2a2-6890-439b-b618-438f8a9c74dc","year":2021},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.471233Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:659d8836a58b452eea1994e187783b2c17a78ebf27ea1d39c0be08d48f58b424","observation_id":"4284a6b8-cf0c-4f25-bb47-28d52988d4e9","resolution":{"observed_at":"2026-08-12T21:42:33.786766Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:33.768341Z","title":null,"venue":null,"work_id":"0bd8ae82-3103-40e1-8e43-db2f1cea89c4","year":2023},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.475818Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:7cc812b06cbd47b8f46beb1b3858e85e9561775dcd6576e70abc1efee22e3f8c","observation_id":"7bd8e602-769e-4a56-bd01-45bcee8ffe06","resolution":{"observed_at":"2026-08-12T21:42:33.772830Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:33.752832Z","title":"Point-nerf: Point-based neural radiance fields","venue":null,"work_id":"5e3f6e88-56ab-4df0-9675-3e60a358911c","year":2022},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.480366Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:d131e2bb35034bfdeb29093d509a8d428bcc3e6a815fb007fe9d15dc216f4d50","observation_id":"96333e17-9188-403f-8d4a-01f95cfaee0c","resolution":{"observed_at":"2026-08-12T21:42:33.758024Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:33.737912Z","title":"Rodyn-slam: Robust dynamic dense rgb-d slam with neural radiance fields","venue":null,"work_id":"14156d0d-dcc8-4a38-aa89-2eff6db18c59","year":2024},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.485026Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:f4bf526772a9c95f880a28f06ddaf7094ade3987df942ed35908cca6da7e2209","observation_id":"c0592b0c-854c-45a3-b3ab-0e4413d503a7","resolution":{"observed_at":"2026-08-12T21:42:33.742972Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:33.722971Z","title":"Gaussian-slam: Photo-realistic dense slam with gaussian splatting","venue":null,"work_id":"cd270000-7dc9-474e-b49b-7bb9282f0987","year":2023},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.489517Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:a7f383b042b83afb9b72d018b9364d0758927fd3781c379515b3c01b7d8d8cf1","observation_id":"d904f69d-11b0-4b52-9a6c-233f20b5c934","resolution":{"observed_at":"2026-08-12T21:42:33.728152Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:33.707489Z","title":"Compact 3d gaussian splatting for dense visual slam","venue":null,"work_id":"91dcde41-224a-4957-8053-f7cb6a83cfcf","year":2024},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.494046Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:d9cd96fdea2e187b200de1a5c0d694b20a58cee6596bac111e0adb7d52de016f","observation_id":"c1d185db-eb18-457d-8ecd-924f5e0f2d56","resolution":{"observed_at":"2026-08-12T21:42:33.712235Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:33.692862Z","title":"Parallel tracking and mapping for small ar workspaces","venue":null,"work_id":"abf8ef00-cb5f-420e-ba7f-520f0bcc3419","year":2007},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.498581Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:ec472d39a9bb26408c159da1a78defc8a3f40cecaf5ba4f07024f18648646b5f","observation_id":"b341717f-bf60-4e18-906f-f55e25803dc9","resolution":{"observed_at":"2026-08-12T21:42:33.697578Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:33.676863Z","title":"Newcombe, Steven J","venue":null,"work_id":"67988d49-f5ba-4b5c-9350-fbebf5f91adb","year":2011},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.503058Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:09a8872181bfb625135d5c21dfab56108195e6ac505cd73c8cfa4b17779b0bf5","observation_id":"d714434b-4402-4084-81ab-c1773aafaa56","resolution":{"observed_at":"2026-08-12T21:42:33.682139Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:33.661674Z","title":"A benchmark for the evaluation of rgb-d slam systems","venue":null,"work_id":"9034c9e2-e8bc-4477-864a-78aea3dc7cb9","year":2012},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.507641Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:afd735772a396201ab72d401bb249e0a887fc7e71063ac175a27786308bda37d","observation_id":"2b86ae19-7d6b-431e-a036-f981d6028ba8","resolution":{"observed_at":"2026-08-12T21:42:33.666686Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:33.645974Z","title":"Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, and Matthias Nießner","venue":null,"work_id":"abcffbf5-31b1-418d-9fd7-ad30511f85cf","year":2017},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.512213Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:25dfc76cfe3626bda0e4466116b9abd9012ff87fcb197c79245383d056d10cba","observation_id":"488774d0-8e5c-4977-a412-fdfa082306a5","resolution":{"observed_at":"2026-08-12T21:42:33.650936Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:33.629625Z","title":"Closed-form solution of absolute orientation using unit quaternions","venue":null,"work_id":"970e6741-7e60-4e48-a654-9a8fa3124093","year":null},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.516898Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:c693148123a3ead96f6a601cd56745afdf8267ada21aaec7466c3f8c91cf6c11","observation_id":"98c6e4de-6cdd-4e42-adf1-3f1331107d6b","resolution":{"observed_at":"2026-08-12T21:42:33.634612Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:33.614374Z","title":"One- Former: One Transformer to Rule Universal Image Segmentation","venue":null,"work_id":"6601a296-ef6e-42d7-bc1d-fce4f49b0cd0","year":2023},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.521588Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:9792084f7669be6ff71948a83e39aa253acb1d45646150d20b7b4e2928ce505d","observation_id":"ec25f5dd-dd38-4afb-9d31-be3c96129479","resolution":{"observed_at":"2026-08-12T21:42:33.619232Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:33.599236Z","title":"Co-fusion: Real-time segmentation, tracking and fusion of multiple objects","venue":null,"work_id":"ec4e2b86-873c-457c-812d-ea9aa840e3a7","year":2017},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.526062Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:b45e6f2873c32e17fcf2aa70589d7bbd6e3f33aff370a702a49f14b9f9bf4930","observation_id":"15e00ffe-a395-4f2a-9342-2593065a2078","resolution":{"observed_at":"2026-08-12T21:42:33.604132Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:33.583841Z","title":"Mid-fusion: Octree-based object-level multi-instance dynamic slam","venue":null,"work_id":"159bba9d-bac9-4d12-b736-3e6f8f79c080","year":null},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.530480Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:e2f9c880d8f63e0ca60fc46cb33b8581f17a1045236d5954a49ded5aec834432","observation_id":"0cd2ab41-00f6-4f68-8a08-c2bb157b5c6b","resolution":{"observed_at":"2026-08-12T21:42:33.588868Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:42:33.566429Z","title":"Em-fusion: Dynamic object-level slam with probabilistic data association","venue":null,"work_id":"3208f753-e057-4453-a7da-7ea26f1eb644","year":2019},"citing_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-12T21:42:33.535092Z"},"links":{"citing_paper":"/paper/2411.08373"},"observation_digest":"sha256:2b4f665fde30887471fbbd6d86784c3e4d6a2c08c6c6deee71d5735dec29d482","observation_id":"8012eaa1-8f2c-4f92-bb7e-2a4e87aaa5b1","resolution":{"observed_at":"2026-08-12T21:42:33.573428Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-12T21:36:54.732885Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization"},"reference_resolution":{"displayed":44,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":0,"verified_fuzzy":42},"total_outbound_references":44},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 2 inbound Pith citation observations for arXiv:2411.08373."}