{"as_of":"2026-08-12T20:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f1c219022181ed92813be0b5204c5f0a22a114a4c1024885522a7f1c65d5d7f8","coverage":[{"denominator":73,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":73,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T11:57:07.336766Z","state":"measured"},{"denominator":74,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":74,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-14T06:25:47.847394Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.17660","snapshot_observed_at":"2026-07-14T06:25:47.847394Z","title":"Droid-splat: Com- bining end-to-end slam with 3d gaussian splatting,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.11184","last_updated":"2026-07-13T07:32:09Z","snapshot_observed_at":"2026-07-16T23:19:14.843274Z","submitted_at":"2026-07-13T07:32:09Z","title":"GeoGS-SLAM: Online Monocular Reconstruction Using Gaussian Splatting with Geometric Priors","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-07-14T06:25:47.847394Z"},"links":{"cited_paper":"/paper/2411.17660","citing_paper":"/paper/2607.11184"},"observation_digest":"sha256:b35e8de390313aa1a8f81d26930b46a03df91fb427d2aeff135b3ab07b5f26a9","observation_id":"5392c90d-d17f-45af-b762-9e579882bc6b","resolution":{"observed_at":"2026-07-14T06:25:47.847394Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2411.17660/citation-record","integrity":"/paper/2411.17660/integrity","json":"/paper/2411.17660/citation-record.json","paper":"/paper/2411.17660"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:08.412391Z","title":"Eigenplaces: Training viewpoint robust models for visual place recognition","venue":null,"work_id":"638cd2bd-cb97-4c13-ad9c-85304166d21b","year":2023},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.005706Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:242c18d6dbee75f0b5577f73c508551e5dfb20338a07d7e035dae9ec19b493e5","observation_id":"3eee4322-fb89-4860-b40b-5a7d1d8f628a","resolution":{"observed_at":"2026-08-12T11:57:08.417149Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.12288","last_updated":"2023-02-23T19:13:10Z","snapshot_observed_at":"2026-07-06T14:55:15.719380Z","submitted_at":"2023-02-23T19:13:10Z","title":"ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.12288","snapshot_observed_at":"2026-08-12T11:57:07.010836Z","title":"Zoedepth: Zero-shot trans- fer by combining relative and metric depth","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.010836Z"},"links":{"cited_paper":"/paper/2302.12288","citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:c9197d2890b2dd1859f4faf26b7b297842429e1f7f757c0d7dce9ded37c76ee4","observation_id":"4a913667-274b-4aa6-8a0f-0dce4e24a993","resolution":{"observed_at":"2026-08-12T11:57:07.010836Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:08.397777Z","title":"Bundlefusion: Real-time glob- ally consistent 3d reconstruction using on-the-fly surface rein- tegration","venue":null,"work_id":"aad157a7-4f92-4979-9f10-39a03915c539","year":null},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.016129Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:980a0ddc235e1c2e2a76ec5776d99011be87eaef3b6058db517fb7741374488b","observation_id":"0e93daf7-7d82-4755-b45e-6d3b85028f15","resolution":{"observed_at":"2026-08-12T11:57:08.402432Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.08281","last_updated":"2025-10-23T09:36:08Z","snapshot_observed_at":"2026-07-31T05:45:37.385210Z","submitted_at":"2024-01-16T11:12:36Z","title":"The Faiss library","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.08281","snapshot_observed_at":"2026-08-12T11:57:07.021067Z","title":"The faiss library","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.021067Z"},"links":{"cited_paper":"/paper/2401.08281","citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:942030e54641321a98364d46ef03028f879c076c68e7321c3709abf9c8d63c06","observation_id":"6a1abfb4-413a-4200-b80d-daec9dc3b16a","resolution":{"observed_at":"2026-08-12T11:57:07.021067Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:08.382863Z","title":"Mvgs: Multi-view- regulated gaussian splatting for novel view synthesis, 2024","venue":null,"work_id":"42f86c1c-4041-4cc6-a65c-a27f9d4d75d4","year":2024},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.026032Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:2a555e58a6fa64b04ad984cd4779cc4519de48c00134765af922f03044abf164","observation_id":"bda388d6-5409-4ac1-bbbc-e473ea44f0f0","resolution":{"observed_at":"2026-08-12T11:57:08.387780Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T11:57:08.368039Z","title":"Mvgs: Multi-view- regulated gaussian splatting for novel view synthesis, 2024","venue":null,"work_id":"d5063c1e-5863-4262-8099-db8d11ed6b46","year":2024},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.030935Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:9fba13d79a9f6657e0fbe0990273f1130d874b4b0fb2683f1594e13142e339e5","observation_id":"84ae14d5-94e0-4b12-9a45-e6742e7753a5","resolution":{"observed_at":"2026-08-12T11:57:08.373017Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T11:57:08.353446Z","title":"Lsd-slam: Large-scale direct monocular slam","venue":null,"work_id":"da56e601-27cc-457b-a641-58d012bbbc6c","year":2014},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.035625Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:60412e307dd1ec4078f09d3e7672ae23eac655b3a39941134ff3411ec51be666","observation_id":"13495ea0-bb43-4f15-9165-9f64b8ebc09e","resolution":{"observed_at":"2026-08-12T11:57:08.358072Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:07.040626Z","title":"Direct sparse odometry","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.040626Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:12fb426dd3f70e7d524facc1ac61ed2204a33aefbd76857121f59f303ae2e0f1","observation_id":"cfecc140-0ac3-498c-b5ee-4d7279e8ddea","resolution":{"observed_at":"2026-08-12T11:57:07.040626Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:08.328066Z","title":"Are we ready for autonomous driving? the kitti vision benchmark suite","venue":null,"work_id":"d8d78a74-baa4-4d99-95af-3ab25a2fd1a9","year":2012},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.045135Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:0f2363ca2aeaa47a42d30aaa1f8528a9f65409a61d88c7b985e31e4624e09f5e","observation_id":"d6e4ef6c-44fb-44c4-991f-6ac2f2ba8c19","resolution":{"observed_at":"2026-08-12T11:57:08.332672Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T11:57:08.313495Z","title":"Deep geometry-aware camera self-calibration from video","venue":null,"work_id":"0b1a692f-c66d-4828-a903-548e59a71684","year":2023},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.049707Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:beb024e1bcaa270c61d2b724aed048a3b3b0f82e9812ec034db60c04c6108b45","observation_id":"76bcde2c-de6f-4e36-a44d-c29439a65e7f","resolution":{"observed_at":"2026-08-12T11:57:08.318145Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.18124","last_updated":"2025-01-18T20:14:54Z","snapshot_observed_at":"2026-08-12T06:19:10.348850Z","submitted_at":"2024-09-26T17:58:55Z","title":"Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.18124","snapshot_observed_at":"2026-08-12T11:57:07.054469Z","title":"Lotus: Diffusion-based visual foundation model for high-quality dense prediction","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.054469Z"},"links":{"cited_paper":"/paper/2409.18124","citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:faa232121a9392c34dfdc43e2ef7c591390a8dfa9e33fa2d5e7acc6f1f413a52","observation_id":"98e4ec60-5331-4b11-aa00-022c44bd9384","resolution":{"observed_at":"2026-08-12T11:57:07.054469Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:08.298106Z","title":"2d gaussian splatting for geometrically accu- rate radiance fields","venue":null,"work_id":"27dfa266-93fa-429c-9f34-032ded097c04","year":2024},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.059503Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:08c1f936d3c0d6107473237699bc15646c2df45f5bd3510c96ee571d16b58649","observation_id":"752511a5-c34b-4623-ad8e-6e909ba582b9","resolution":{"observed_at":"2026-08-12T11:57:08.302882Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T11:57:08.283024Z","title":"Photo-slam: Real-time simultaneous localization and photo- realistic mapping for monocular stereo and rgb-d cameras","venue":null,"work_id":"b7f250a9-0875-4478-b36a-422e5cbe6c48","year":2024},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.063982Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:71c161e3e650fbe550c3e07c97f5fc29acf0ca1a7ed1295ebe76c551ad9ca929","observation_id":"ba23e779-34d3-45a8-9492-ec8976382f47","resolution":{"observed_at":"2026-08-12T11:57:08.287935Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T11:57:08.268150Z","title":null,"venue":null,"work_id":"ec9097c3-577b-4e91-94e9-48643cfd63da","year":2015},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.068463Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:47566a02cec777aab4a68384724a88ce09e5ec0ebedb8c0c1d6190e3d10846a6","observation_id":"b110a9ba-b613-449c-8473-b1b73340428f","resolution":{"observed_at":"2026-08-12T11:57:08.273070Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:07.072688Z","title":"Repurpos- ing diffusion-based image generators for monocular depth estimation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.072688Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:40461cdf3f716a75f3473c296caf1b8d5ef3bc31e7e100fd4fd82ddd7a96123c","observation_id":"ccc235a8-1f62-46c8-82b9-4d9339ac4566","resolution":{"observed_at":"2026-08-12T11:57:07.072688Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:08.244567Z","title":"Splatam: Splat track & map 3d gaussians for dense rgb-d slam","venue":null,"work_id":"4c6ce829-15e0-4f7a-963f-e9364fecf5c1","year":2024},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.077411Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:b128c7c84164b0796353467e9146b4151710511fffe4ebba0a2763a8e8a537ea","observation_id":"9ec3d933-70b4-4418-8d88-512f991cd304","resolution":{"observed_at":"2026-08-12T11:57:08.249155Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T11:57:08.229594Z","title":"Real-time 3d recon- struction in dynamic scenes using point-based fusion","venue":null,"work_id":"0568a480-11d5-4491-8a45-8ca3d67a91be","year":2013},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.081728Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:afca67520067a51d719572e906b85e23a9886c55d629d9ea046e8b01795261e0","observation_id":"99990b05-2420-478d-a8fa-c00a48d3d929","resolution":{"observed_at":"2026-08-12T11:57:08.234309Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T11:57:08.215070Z","title":"3d gaussian splatting for real-time radiance field rendering","venue":null,"work_id":"c7ba4e56-95c5-4686-95ae-bc37aac29e22","year":2023},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.086040Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:3d56c68e41234dc00018fc7cb55368fcfd1f529cc6bd3e146cf452e0752c9df4","observation_id":"1b375e07-3e02-44a3-b1ec-005b7ee7a066","resolution":{"observed_at":"2026-08-12T11:57:08.219687Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T11:57:08.200356Z","title":"3d gaussian splatting as markov chain monte carlo, 2024","venue":null,"work_id":"80fd55af-7cc6-454e-a6f5-a279e1f7a07a","year":2024},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.090954Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:f7d080bf1109454e0bd4e05b1b5233730b15e0a7a0adf2546d14c2e3e035696f","observation_id":"098fc348-c727-4921-81c6-2127b224ac06","resolution":{"observed_at":"2026-08-12T11:57:08.204885Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T11:57:08.185095Z","title":"g 2 o: A general framework for graph optimization","venue":null,"work_id":"33ac0c67-bdb6-4917-8534-1aa8612b09d4","year":2011},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.095684Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:f7a6d392c4e05d25e20366d527d8c6d89cbdb14f16f2e309541256c80c5db510","observation_id":"006c4f79-86b3-4ab7-8dd9-26697cab9add","resolution":{"observed_at":"2026-08-12T11:57:08.190073Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.01654","last_updated":"2024-08-03T03:51:47Z","snapshot_observed_at":"2026-08-10T01:00:46.823537Z","submitted_at":"2024-08-03T03:51:47Z","title":"Deep Patch Visual SLAM","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.01654","snapshot_observed_at":"2026-08-12T11:57:07.100403Z","title":"Deep patch visual slam","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.100403Z"},"links":{"cited_paper":"/paper/2408.01654","citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:5b1474ced9cf90242c09c5c60edfd04c47d573977c2d0c1b19a1404c6e467a65","observation_id":"0eafaea1-e3b1-41c4-8d55-d7a65888e43d","resolution":{"observed_at":"2026-08-12T11:57:07.100403Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:08.169680Z","title":"Loopy-slam: Dense neural slam with loop closures","venue":null,"work_id":"2682d725-abeb-4749-a079-2321be229689","year":2024},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.105572Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:b15457fa1bd36f687babc550859cad3820aed670e1e4aa0a981911a39beba47b","observation_id":"c80b5b43-c1b8-4a72-a8dc-070e5c028141","resolution":{"observed_at":"2026-08-12T11:57:08.174292Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T11:57:08.154985Z","title":"Robust dynamic radiance fields","venue":null,"work_id":"dbfae1d1-d6e8-401b-83ac-f62e5eae3a2e","year":2023},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.110285Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:360802f8e505e1b67715926caef0bc25a0a860b5b94b5885e3ea8884867a22c0","observation_id":"9eebe955-62ac-4229-b5d4-984d9a461a46","resolution":{"observed_at":"2026-08-12T11:57:08.159847Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T11:57:08.140004Z","title":"Gaussian splatting slam","venue":null,"work_id":"075e43c2-370a-413b-9207-56ee693e5d16","year":2024},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.114949Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:45346cbceaada782b7924e5739ba149b00b8b8b1884921e6e2d8ed4ce1a6972d","observation_id":"7e5cc4f6-334c-442a-a0d2-b85b3f224d4a","resolution":{"observed_at":"2026-08-12T11:57:08.144826Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T11:57:08.125036Z","title":"Srinivasan, Matthew Tancik, Jonathan T","venue":null,"work_id":"c4654ab1-be42-4153-a59a-ed4dd7ebf746","year":2020},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.119645Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:9f4e420c37f6d5d6b79024554662c02e51dfaea53ddce213da39fcdfc7cb2041","observation_id":"2ed963c0-c0ff-40e8-954b-a96e0a1d5504","resolution":{"observed_at":"2026-08-12T11:57:08.129729Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T11:57:08.110155Z","title":"Instant neural graphics primitives with a multires- olution hash encoding","venue":null,"work_id":"38370315-a86a-4be1-8d16-0150bbf6455d","year":2022},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.123775Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:a814fb03fb869acd8b7cb73a6ed445a6c44b87df72b4cd5a163666065313dc6b","observation_id":"23527033-77d7-41cc-9a96-f7f8f3a82ac5","resolution":{"observed_at":"2026-08-12T11:57:08.114798Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:07.128677Z","title":"Orb-slam: a versatile and accurate monocular slam system","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.128677Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:fdd2f1b3eb578cb86992c35cacfa17cbeefe147a076a18e53fd240262bb00a5c","observation_id":"8ae1a8f3-41a1-404b-99a9-b620043a1ff1","resolution":{"observed_at":"2026-08-12T11:57:07.128677Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:08.085386Z","title":"Real-time 3d reconstruction at scale using voxel hashing","venue":null,"work_id":"c0ebffa5-92a6-4217-b450-5a49662cec27","year":null},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.133479Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:7463f744498edc5ad858202c16ac1b02b8d95bbd3518f46abe2eb5d9d8ca7724","observation_id":"73357752-cc93-4f3c-aba2-f61b2022224e","resolution":{"observed_at":"2026-08-12T11:57:08.090856Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.08125","last_updated":"2024-11-19T19:26:23Z","snapshot_observed_at":"2026-08-04T04:38:40.941475Z","submitted_at":"2024-03-12T23:27:30Z","title":"Q-SLAM: Quadric Representations for Monocular SLAM","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.08125","snapshot_observed_at":"2026-08-12T11:57:07.137945Z","title":"Q-slam: Quadric representations for monocular slam","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.137945Z"},"links":{"cited_paper":"/paper/2403.08125","citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:9a00ff17849bf7cd63ba9d7bf49ad5cb26cfa645f087b3348d021252fe24bcd4","observation_id":"fd5454fe-79de-434b-a578-c678ec7ef923","resolution":{"observed_at":"2026-08-12T11:57:07.137945Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:07.143165Z","title":"Nerf- slam: Real-time dense monocular slam with neural radiance fields","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.143165Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:f3a809ad2fc6cb1d8cfcd0119eafd1526fbebe853e26c777338979ecf5a5fb11","observation_id":"37d63bb5-213b-4309-8cac-786aa29acb21","resolution":{"observed_at":"2026-08-12T11:57:07.143165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:07.147432Z","title":"Orb: An efficient alternative to sift or surf","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.147432Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:65ad97e9a9ba3ec78f827d4d45f2d40e5cc0ae4f146a9dc68291a38683a53c81","observation_id":"61c06605-82d1-472f-ad83-5650c7dcd12b","resolution":{"observed_at":"2026-08-12T11:57:07.147432Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:08.050848Z","title":"Point-slam: Dense neural point cloud-based slam","venue":null,"work_id":"33ca96e9-c81a-47cc-820d-12c40b352f5c","year":2023},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.151715Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:e45727e3fff068e62cfd715e04b7409aafc72ef142661c6ef4ae683fa68bb8b1","observation_id":"bae72e53-8cc1-4d16-9588-ca95cf4ccb26","resolution":{"observed_at":"2026-08-12T11:57:08.055753Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.16544","last_updated":"2024-05-26T12:26:54Z","snapshot_observed_at":"2026-07-06T18:20:05.707144Z","submitted_at":"2024-05-26T12:26:54Z","title":"Splat-SLAM: Globally Optimized RGB-only SLAM with 3D Gaussians","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.16544","snapshot_observed_at":"2026-08-12T11:57:07.155793Z","title":"Splat-slam: Globally optimized rgb-only slam with 3d gaussians","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.155793Z"},"links":{"cited_paper":"/paper/2405.16544","citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:6958f2b44f9e2f9a49e7aa78a9b8477035716f2687b84d8931980d654d22d37f","observation_id":"a1ebdfa1-e603-4ece-98ac-6f6d3e22917e","resolution":{"observed_at":"2026-08-12T11:57:07.155793Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:08.035610Z","title":"R3d3: Dense 3d reconstruction of dy- namic scenes from multiple cameras","venue":null,"work_id":"9c6f4dd8-fa47-4d16-91bc-fc983711cfca","year":2023},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.160442Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:65bf5915a06099a973e28f92d76186b5dce6414f89f58792a05f4d73f39daa8a","observation_id":"7194e724-35e6-4c6c-a9d4-1ade293902cc","resolution":{"observed_at":"2026-08-12T11:57:08.041012Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T11:57:08.020799Z","title":"Bad slam: Bundle adjusted direct rgb-d slam","venue":null,"work_id":"6a3d4f3d-f15a-4a40-9bd1-f2a20b619327","year":2019},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.164959Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:cb8ccde1b88d21b5cb9797739bb3d99a4923aee159ac237032da44f4d6cdd271","observation_id":"8b8d79a0-44bc-49d7-a272-8eafb2bfae7f","resolution":{"observed_at":"2026-08-12T11:57:08.025624Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:07.169562Z","title":"Indoor segmentation and support inference from rgbd images","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.169562Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:96f68284716b907dfd4dbbcf94ebe7d82797d11c4275cad38e435d4ac33bd164","observation_id":"fa0a548d-84fb-4b3d-833c-719b2d540586","resolution":{"observed_at":"2026-08-12T11:57:07.169562Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1906.05797","last_updated":"2019-06-13T16:29:58Z","snapshot_observed_at":"2026-08-01T13:51:16.469557Z","submitted_at":"2019-06-13T16:29:58Z","title":"The Replica Dataset: A Digital Replica of Indoor Spaces","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.05797","snapshot_observed_at":"2026-08-12T11:57:07.173786Z","title":"The replica dataset: A digital replica of indoor spaces","venue":null,"work_id":null,"year":1906},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.173786Z"},"links":{"cited_paper":"/paper/1906.05797","citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:4bbd38f9aef34a261c7dae1367af01835f066f8cc01de7346b053adafed616ca","observation_id":"6c4a0fb4-1e30-4f44-a149-28df5c696e92","resolution":{"observed_at":"2026-08-12T11:57:07.173786Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:07.980052Z","title":"A benchmark for the evalua- tion of rgb-d slam systems","venue":null,"work_id":"374f3368-9598-4e39-a50c-a0ac03e86aaf","year":2012},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.182474Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:7eb63a5f579f38c7c501a662b5480c772665c670aa73bb57d32be3e66b3a8aeb","observation_id":"65130cff-8fba-482b-a989-76dc95e41402","resolution":{"observed_at":"2026-08-12T11:57:07.984823Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.12535","last_updated":"2024-10-02T09:00:48Z","snapshot_observed_at":"2026-08-04T22:12:50.428204Z","submitted_at":"2024-03-19T08:19:53Z","title":"High-Fidelity SLAM Using Gaussian Splatting with Rendering-Guided Densification and Regularized Optimization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.12535","snapshot_observed_at":"2026-08-12T11:57:07.186644Z","title":"High-fidelity slam using gaussian splatting with rendering-guided densification and regularized optimization","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.186644Z"},"links":{"cited_paper":"/paper/2403.12535","citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:961cf1f2e842619d400fce95214bf96710240f689f4a0c79c0150a5ac8a9c21b","observation_id":"926ca7bf-6e61-41cf-9b44-fa9aea9a0b24","resolution":{"observed_at":"2026-08-12T11:57:07.186644Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:07.962975Z","title":"Raft: Recurrent all-pairs field transforms for optical flow","venue":null,"work_id":"fb4490c1-d3a8-4d2d-b787-c44cd9332947","year":2020},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.191034Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:df3f7faad68523fef8854f4d7a4bdb696391d1102e7f13b8efced30db2713a77","observation_id":"af7bb95a-c1e4-4b80-a031-491133d8b1f0","resolution":{"observed_at":"2026-08-12T11:57:07.968472Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T11:57:07.947320Z","title":"Droid-slam: Deep visual slam for monocular, stereo, and rgb-d cameras","venue":null,"work_id":"7c5d48f7-af06-4fdf-ae5f-b69b6224496f","year":2021},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.195473Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:efd8e545e54817e94c49131097634ee4133f95e92025a50b3920b6137fd7cdb5","observation_id":"d8a5a271-8cbf-47ba-ac6c-b6ada94af5f3","resolution":{"observed_at":"2026-08-12T11:57:07.951982Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T11:57:07.932509Z","title":"Deep patch visual odometry","venue":null,"work_id":"256f0283-efe4-44fe-8e28-22fadb4f5658","year":2024},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.199999Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:960ff00997517ca39a861aaef60361fbc697a74e88237e21ce02c5d0eda6c363","observation_id":"c61b0cab-d570-48a8-8654-ae326e506ed5","resolution":{"observed_at":"2026-08-12T11:57:07.937334Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.13255","last_updated":"2025-03-27T14:03:25Z","snapshot_observed_at":"2026-08-09T23:56:28.924180Z","submitted_at":"2024-02-20T18:59:57Z","title":"How NeRFs and 3D Gaussian Splatting are Reshaping SLAM: a Survey","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.13255","snapshot_observed_at":"2026-08-12T11:57:07.204733Z","title":"How nerfs and 3d gaussian splatting are reshaping slam: a survey","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.204733Z"},"links":{"cited_paper":"/paper/2402.13255","citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:c1f2c07e39b2ce8c172d72f92080349d88945c354f727576d98be3dcaae29e77","observation_id":"c1189541-da0f-4023-8ebb-be95263b7333","resolution":{"observed_at":"2026-08-12T11:57:07.204733Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:07.917544Z","title":"Dn-splatter: Depth and normal priors for gaussian splatting and meshing, 2024","venue":null,"work_id":"dd520a87-99e0-4cdf-b014-48ce8cbe976f","year":2024},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.209342Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:9a833410e3e3ed1f7ecbc5f67949d5d753b8b053a9e17b2eaeedf06a02c93fd3","observation_id":"0cb7aaff-32ce-4921-80fc-fc97ca7915a3","resolution":{"observed_at":"2026-08-12T11:57:07.922320Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T11:57:07.902537Z","title":"Image quality assessment: from error visibility to structural similarity","venue":null,"work_id":"001e95f2-8ef8-4bb1-ac48-8c0ff094b0c5","year":2004},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.213705Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:987581b17741ff10cd12fc8ef09e7293696a0bba085f372725a6fa0ce845fc90","observation_id":"e247fd98-4627-4ddc-8a8a-fe6fff6af8c9","resolution":{"observed_at":"2026-08-12T11:57:07.907290Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T11:57:07.886672Z","title":"Elasticfusion: Dense slam without a pose graph","venue":null,"work_id":"312f77b0-c914-44a6-ac0c-40c86dd9ad93","year":2015},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.217987Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:8675c8fc9793e567eed812d942e262237ee338843bf95f30dd1e71f49f7d7248","observation_id":"7567d75c-d188-4f07-b832-10a157e0dd8c","resolution":{"observed_at":"2026-08-12T11:57:07.891883Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:07.222288Z","title":"Sparsegs: Real-time 360° sparse view synthesis using gaussian splatting","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.222288Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:9aa3a9385c4331a680a7c1ca7c4f0feb98dbb1061df76663c55037259b2673e1","observation_id":"1e440578-1175-415c-b31f-0f8bb5b67d05","resolution":{"observed_at":"2026-08-12T11:57:07.222288Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:07.227160Z","title":"Gs-slam: Dense visual slam with 3d gaussian splatting","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.227160Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:f8f5fd22c4fc179af65522b38168092e38a46918c3daf6668ca9621ffd020de2","observation_id":"3d657b85-be73-4e27-b650-c394b1496a2d","resolution":{"observed_at":"2026-08-12T11:57:07.227160Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:07.852750Z","title":"Depth anything: Unleashing the power of large-scale unlabeled data","venue":null,"work_id":"aab736e5-12de-4a7f-a254-ee22f05c4478","year":2024},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.231386Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:c06864fa596e6887bee65e15ac2d703a367d0c83d31c20a9e2f3b1c13c781beb","observation_id":"56b7ebe1-b29d-4b4e-b071-2d446803be8a","resolution":{"observed_at":"2026-08-12T11:57:07.857377Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T11:57:07.838705Z","title":"V ox-fusion: Dense tracking and mapping with voxel-based neural implicit representation","venue":null,"work_id":"ac753721-fa02-4a08-90b5-16cd4b7ac0d5","year":2022},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.235936Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:22f204ad7c3c2467b91f0371ca6b7147f408750b3036ca34ada680ed0ece0013","observation_id":"b4ba907d-50dd-4d42-97da-8c0351d8c7a9","resolution":{"observed_at":"2026-08-12T11:57:07.843186Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T11:57:07.824389Z","title":"Metric3d: 10 Towards zero-shot metric 3d prediction from a single image","venue":null,"work_id":"7d554816-d5d0-4c5c-a794-736358289706","year":2023},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.240355Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:5bb78e1610d4944bed21afb940a171d63e500f2c1348a54382909ed4a9af5bf1","observation_id":"1122f6f5-35c0-4951-bb6a-023805950362","resolution":{"observed_at":"2026-08-12T11:57:07.829238Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T11:57:07.810228Z","title":"Mip-splatting: Alias-free 3d gaussian splat- ting","venue":null,"work_id":"b2668b3d-377a-4297-87bb-e3abca5760ec","year":null},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.244919Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:be7b694708cc1ebafc0366b1063097b3bb91932ebb24430535340eb176f964d3","observation_id":"bd4ebc2a-b123-429c-9d3f-9982df1fdefa","resolution":{"observed_at":"2026-08-12T11:57:07.814731Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T11:57:07.795471Z","title":"Gaussian opacity fields: Efficient adaptive surface reconstruction in unbounded scenes, 2024","venue":null,"work_id":"a66a039f-7889-400b-a6a6-f3de6777463c","year":2024},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.249421Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:c272d1384200a854d5048c010cb76fc262bd89b638a7c8a1e686d00daa73ca00","observation_id":"ea865603-9818-47ad-8196-b88a181fd62f","resolution":{"observed_at":"2026-08-12T11:57:07.800560Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.10070","last_updated":"2024-03-22T17:59:09Z","snapshot_observed_at":"2026-08-12T05:48:46.621984Z","submitted_at":"2023-12-06T10:47:53Z","title":"Gaussian-SLAM: Photo-realistic Dense SLAM with Gaussian Splatting","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.10070","snapshot_observed_at":"2026-08-12T11:57:07.253736Z","title":"Gaussian-slam: Photo-realistic dense slam with gaus- sian splatting","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.253736Z"},"links":{"cited_paper":"/paper/2312.10070","citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:e6023bab8b3ae82170d0687428219e39f3fc8a026a4b45cd60c290b859ca0325","observation_id":"2dbeb255-e644-44d5-b134-75f9f1c0ad2a","resolution":{"observed_at":"2026-08-12T11:57:07.253736Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.15333","last_updated":"2024-10-28T08:33:02Z","snapshot_observed_at":"2026-07-06T18:35:00.245966Z","submitted_at":"2024-06-21T17:49:31Z","title":"GeoLRM: Geometry-Aware Large Reconstruction Model for High-Quality 3D Gaussian Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.15333","snapshot_observed_at":"2026-08-12T11:57:07.258503Z","title":"Geolrm: Geometry-aware large re- construction model for high-quality 3d gaussian generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.258503Z"},"links":{"cited_paper":"/paper/2406.15333","citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:4eff9cb480e47740bf54407f9138fcb9f4ec5c11303c52015e807a73266edc6b","observation_id":"d13ffd11-0056-474a-8903-a420111fc2f5","resolution":{"observed_at":"2026-08-12T11:57:07.258503Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.19549","last_updated":"2024-05-27T10:55:00Z","snapshot_observed_at":"2026-08-06T14:08:47.713966Z","submitted_at":"2024-03-28T16:32:06Z","title":"GlORIE-SLAM: Globally Optimized RGB-only Implicit Encoding Point Cloud SLAM","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.19549","snapshot_observed_at":"2026-08-12T11:57:07.263064Z","title":"Glorie-slam: Globally optimized rgb-only implicit encoding point cloud slam","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.263064Z"},"links":{"cited_paper":"/paper/2403.19549","citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:57eff2ee1e72c491a6204c4f04c3771ecce79ade7ce8200af2adf0ca753925e4","observation_id":"0d0b0037-db1c-4c23-9b42-b7fbe726eeb9","resolution":{"observed_at":"2026-08-12T11:57:07.263064Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:07.781150Z","title":"The unreasonable effectiveness of deep features as a perceptual metric","venue":null,"work_id":"78612d6e-983c-4478-afaa-1a7596fc8009","year":2018},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.267661Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:336ddfb201b8d7fe74df0ac017e4cbd87da694241c59ef632961e475b4f43829","observation_id":"7a648a7e-f998-4dcc-9d22-deba513480e5","resolution":{"observed_at":"2026-08-12T11:57:07.785669Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T11:57:07.766438Z","title":"Hi-slam: Monocular real-time dense mapping with hybrid implicit fields","venue":null,"work_id":"18a328d9-edf7-49df-aed8-3da83c097b10","year":2023},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.272258Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:fd055fff4f38cfab74921359aca24dd6286f48ba2f6e842452136f474a3442c5","observation_id":"076cad52-79c1-4611-978d-dfdf304d8632","resolution":{"observed_at":"2026-08-12T11:57:07.771626Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T11:57:07.752517Z","title":"Go-slam: Global optimization for consistent 3d instant reconstruction","venue":null,"work_id":"ec33b680-e166-4127-b7d8-45dce36c5a09","year":2023},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.276627Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:ab8534c8ef9d5fc5c1eb80e92483e5be8b900cdce3205803a07aadc2fb710a6a","observation_id":"251801de-11b6-4c68-93d9-eab76501588d","resolution":{"observed_at":"2026-08-12T11:57:07.757262Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.15530","last_updated":"2024-03-22T17:59:21Z","snapshot_observed_at":"2026-08-12T06:04:20.719264Z","submitted_at":"2024-03-22T17:59:21Z","title":"Pixel-GS: Density Control with Pixel-aware Gradient for 3D Gaussian Splatting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.15530","snapshot_observed_at":"2026-08-12T11:57:07.280846Z","title":"Pixel-gs: Density control with pixel- aware gradient for 3d gaussian splatting","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.280846Z"},"links":{"cited_paper":"/paper/2403.15530","citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:4edeec7ef91321d267919fe3438a6c87460a7852e7fd1b7a9d3fbdf94e0ae709","observation_id":"3bc07c9f-2def-4b3e-a6c5-27528473e46b","resolution":{"observed_at":"2026-08-12T11:57:07.280846Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.03762","last_updated":"2024-03-08T18:42:34Z","snapshot_observed_at":"2026-08-10T19:04:10.090119Z","submitted_at":"2024-02-06T07:07:33Z","title":"MoD-SLAM: Monocular Dense Mapping for Unbounded 3D Scene Reconstruction","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.03762","snapshot_observed_at":"2026-08-12T11:57:07.285758Z","title":"Mod-slam: Monocular dense mapping for unbounded 3d scene reconstruction","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.285758Z"},"links":{"cited_paper":"/paper/2402.03762","citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:b310e0f6c7894b0a773f519f83dc9f098a880ef576f1c470770213fee15efb1b","observation_id":"5b7e9934-c4cf-4784-b41e-4081f5ece7d1","resolution":{"observed_at":"2026-08-12T11:57:07.285758Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.10154","last_updated":"2024-08-20T02:43:25Z","snapshot_observed_at":"2026-08-04T10:26:02.785517Z","submitted_at":"2024-08-19T17:04:18Z","title":"LoopSplat: Loop Closure by Registering 3D Gaussian Splats","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.10154","snapshot_observed_at":"2026-08-12T11:57:07.290472Z","title":"Loopsplat: Loop closure by registering 3d gaus- sian splats","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.290472Z"},"links":{"cited_paper":"/paper/2408.10154","citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:96fc3030db4ebbb75f61d61759a3294c80f7174fcadc8576882a8aa0f5a5223f","observation_id":"b314bd88-62a6-457e-84aa-ae3d3f9d9412","resolution":{"observed_at":"2026-08-12T11:57:07.290472Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:07.737034Z","title":"Nice-slam: Neural implicit scalable encoding for slam","venue":null,"work_id":"4ff8c835-c6ec-48b8-a5c0-bd03a96c56a2","year":2022},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.295216Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:acf7329520a25c491953aed991a2f80cb27007beb8c5e904145ee73d3fadbc4f","observation_id":"8d43f896-5ac8-4455-ae93-adc601803354","resolution":{"observed_at":"2026-08-12T11:57:07.742513Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T11:57:07.722271Z","title":"Nicer- slam: Neural implicit scene encoding for rgb slam","venue":null,"work_id":"af08b8ea-1e6f-4119-91c7-cd1da6cc21fe","year":2024},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.299549Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:a26cbf2454527a03b4ec8a030b55c45396a4171aaa0b3b983bdf50522ba183be","observation_id":"2fdc086c-9e78-4baf-a258-b1f64d7e6c41","resolution":{"observed_at":"2026-08-12T11:57:07.727027Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T11:57:07.707787Z","title":null,"venue":null,"work_id":"dcd98530-345a-4cd8-9124-494c4248eed5","year":null},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.303963Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:974631cca76395f5326a6adcb38fe0a6010089f19f597a97102cba31ccf149f8","observation_id":"b4c0b0ae-c339-4fe8-9a3a-8c929f177d1d","resolution":{"observed_at":"2026-08-12T11:57:07.712675Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T11:57:07.692344Z","title":"The reported rendering metrics for our comparison with related work are computed on the keyframe images based on the estimated poses, as is standard","venue":null,"work_id":"04b2d35e-d9cd-437a-8efc-b7ff5ba91928","year":null},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.309310Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:d6bf123e34111f2124be71587ee4b2325c48df424dcdb1ffd4712c4caf5a2506","observation_id":"c10e0f62-7429-43dc-b2f1-8e29bf3293bc","resolution":{"observed_at":"2026-08-12T11:57:07.697978Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T11:57:07.676760Z","title":"We show some qualitative comparisons between selected models in Figure 9","venue":null,"work_id":"668cba4c-5966-47c8-ba39-60652ba6f182","year":null},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.314074Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:18d245d0d13ff09e490a9a000cf34393736d54c0085346ad9816fa0ee478defd","observation_id":"6cf7bdf1-837f-423f-be36-b0a5c815fd89","resolution":{"observed_at":"2026-08-12T11:57:07.681880Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T11:57:07.660607Z","title":"As stated in the main paper, we perform a two-stage reconstruction:","venue":null,"work_id":"9d4acc3a-9153-4c42-a28d-f2c80dfa03ec","year":null},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.318805Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:38a99ccd4a411bf4d91641e6da28cac4df25d6b3bfc558e1f08b3f04e33eec79","observation_id":"499d6693-cb21-4062-bbb3-d151a48d5cc2","resolution":{"observed_at":"2026-08-12T11:57:07.665383Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T11:57:07.645758Z","title":null,"venue":null,"work_id":"f12fa2cf-2bed-42c2-ae7f-64ccbf5f9e04","year":null},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.323475Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:60af7b383c41df84cc5f51d86e517ff628a98d7324cea1158bfd05fb265fa7a2","observation_id":"dc9c70c0-da33-4c02-b74b-9afde3768d01","resolution":{"observed_at":"2026-08-12T11:57:07.650371Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T11:57:07.630785Z","title":"(9) The benefit of camera calibration was quantitatively shown in [10]","venue":null,"work_id":"eda01136-5f25-491f-8124-14a3b36dcc8f","year":null},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.327619Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:34e1c38396d9f913168feca2d3887b7d539dfb3ccc7b8abf0b52cf2d1d1a250b","observation_id":"da9e693f-598e-4bed-9095-0b304c598402","resolution":{"observed_at":"2026-08-12T11:57:07.635438Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T11:57:07.615029Z","title":"We notice that even though monocular depth prediction networks allow highly detailed single-frame predictions, their usage on in-the-wild video is limited","venue":null,"work_id":"fb405fb0-3a45-471d-b659-10a33d37c440","year":null},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.332416Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:a81c2dcc2486f19774d8859c21d8b00258b605952a44d9414d99ce232eba8794","observation_id":"c077abea-7234-4b4b-94ee-951da3ebdfcc","resolution":{"observed_at":"2026-08-12T11:57:07.620415Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T11:57:07.597612Z","title":"We can then perform an intersection test to carve out a 3D volume across multiple views","venue":null,"work_id":"15ce6db0-f8b5-426e-a6b9-6c61b1a00d29","year":null},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.336766Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:9d33da0bd9cf0e5133a53ed4681cbe5fd975e4c00483bb21c25aa1367bbc3396","observation_id":"23bc36bc-3fd8-492e-89ec-80570cd915d2","resolution":{"observed_at":"2026-08-12T11:57:07.604218Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T11:57:07.996104Z","title":null,"venue":null,"work_id":"2154f2dc-d69c-47d7-82e1-a9094aabe58f","year":null},"citing_paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting","version":2},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:07.178240Z"},"links":{"citing_paper":"/paper/2411.17660"},"observation_digest":"sha256:894ad40e1db6b5fba01f9764aaf593886232bd191dcf573128dbf3186c9d1e50","observation_id":"a454c068-b51e-40ce-b91a-faab7f290ac8","resolution":{"observed_at":"2026-08-12T11:57:08.001091Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.17660","last_updated":"2024-11-29T18:31:24Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T11:50:05.256447Z","submitted_at":"2024-11-26T18:25:51Z","title":"DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting"},"reference_resolution":{"displayed":73,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":27,"verified_exact":0,"verified_fuzzy":45},"total_outbound_references":73},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 1 inbound Pith citation observation for arXiv:2411.17660."}