{"as_of":"2026-08-15T12:41:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:726538cd7d62e79e62f20e163d2d4f8eb609581fb82dbc15f4c713d6930c43a5","coverage":[{"denominator":47,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":47,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T13:32:30.953133Z","state":"measured"},{"denominator":49,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":49,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T15:25:36.755952Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-07T05:41:29.924873Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.16785","snapshot_observed_at":"2026-08-10T15:25:36.755952Z","title":"Magic-slam: Multi-agent gaussian globally consistent slam,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.14147","last_updated":"2025-06-03T16:34:57Z","snapshot_observed_at":"2026-08-13T15:16:06.919297Z","submitted_at":"2025-01-24T00:21:10Z","title":"HAMMER: Heterogeneous, Multi-Robot Semantic Gaussian Splatting","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T15:25:36.755952Z"},"links":{"cited_paper":"/paper/2411.16785","citing_paper":"/paper/2501.14147"},"observation_digest":"sha256:e4c89cca2ed96af4237bcb0aad558c7dfcf25bade02fbc14667563f9445dc68e","observation_id":"8b65e621-431c-46e9-b58d-1188e4aa62e0","resolution":{"observed_at":"2026-08-10T15:25:36.755952Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"cited_work":{"arxiv_id":"2411.16785","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.16785","snapshot_observed_at":"2026-08-07T05:41:29.924873Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","venue":"cs.CV","work_id":"3eb6e4e4-b163-4d28-a859-92ef4d61ec6c","year":2024},"citing_paper":{"arxiv_id":"2506.07338","last_updated":"2025-06-09T00:58:14Z","snapshot_observed_at":"2026-08-09T13:37:14.700576Z","submitted_at":"2025-06-09T00:58:14Z","title":"Hierarchical Scoring with 3D Gaussian Splatting for Instance Image-Goal Navigation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:29.815865Z"},"links":{"cited_paper":"/paper/2411.16785","citing_paper":"/paper/2506.07338"},"observation_digest":"sha256:dfe8f1087929cdeb15ebd95e2808ed173ef5d4e273cdce10538c46fb2f467c18","observation_id":"657628f5-94c3-42f9-a4a9-d184be24dc41","resolution":{"observed_at":"2026-08-07T05:41:29.930962Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2411.16785/citation-record","integrity":"/paper/2411.16785/integrity","json":"/paper/2411.16785/citation-record.json","paper":"/paper/2411.16785"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T13:32:31.726165Z","title":"Netvlad: Cnn architecture for weakly supervised place recognition, 2016","venue":null,"work_id":"34fc4d6c-8bd2-4c49-aaa2-a9bee20674ad","year":2016},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.725020Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:8aedfe89ef7a4a9b438b4d765ecde31eccfd064f6140ebb728012e6b84c1c964","observation_id":"7a62c0df-fc20-4cc3-9633-bc584293fc5d","resolution":{"observed_at":"2026-08-12T13:32:31.731208Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T13:32:30.730489Z","title":"Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, and Pratul P","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.730489Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:a6d24e86ab57c3e6fe87140efffa091739d536f9ee5a161c7866efac4c0ffbdd","observation_id":"00eedb08-b09f-4832-8417-26215cb003ce","resolution":{"observed_at":"2026-08-12T13:32:30.730489Z","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":"2026-08-12T13:32:31.699201Z","title":"Besl and Neil D","venue":null,"work_id":"3f89f019-df01-4bab-b20d-40363b16e080","year":1992},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.735516Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:f87134cdd0ad14d89e5af335da45cd5f37af3649d907fcb8e516e5559895111b","observation_id":"b8136182-92a1-4188-98e1-dc5c67452e74","resolution":{"observed_at":"2026-08-12T13:32:31.704045Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T13:32:31.683253Z","title":"Gomez Rodriguez, Jose M","venue":null,"work_id":"db44f655-7057-44af-aff7-594ee43f8751","year":2021},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.740286Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:fe2b43795f2f83d3f871e0bd0b07173b7ae78a9444469a82d56cc5f01ffa32ff","observation_id":"87b1846f-7c58-4686-8ae0-e52467e35482","resolution":{"observed_at":"2026-08-12T13:32:31.688288Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T13:32:31.666475Z","title":"How, and Luca Carlone","venue":null,"work_id":"2be38556-5cdd-4814-824f-95dca43791df","year":2021},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.745106Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:8b575c7bf7367e95df87c08c7eaed90f280a80673d86a72d47a04e4834dc3354","observation_id":"931f56b6-6e8b-4cd3-8aff-b0bb0090fc6e","resolution":{"observed_at":"2026-08-12T13:32:31.671579Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.13274","last_updated":"2023-01-31T05:39:28Z","snapshot_observed_at":"2026-08-13T14:18:35.208051Z","submitted_at":"2022-09-27T09:37:57Z","title":"Orbeez-SLAM: A Real-time Monocular Visual SLAM with ORB Features and NeRF-realized Mapping","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.13274","snapshot_observed_at":"2026-08-12T13:32:30.750205Z","title":"Orbeez-slam: A real- time monocular visual slam with orb features and nerf- realized mapping","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.750205Z"},"links":{"cited_paper":"/paper/2209.13274","citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:1ba43c02c8340a75770863c1ed7785b98ce1b95eb84cba2bc352cbba1c966579","observation_id":"da70143a-c64a-433b-a837-dc1c8f48103e","resolution":{"observed_at":"2026-08-12T13:32:30.750205Z","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":"2026-08-12T13:32:31.650239Z","title":"V olumetric method for build- ing complex models from range images","venue":null,"work_id":"da69c727-2776-4e86-b653-037cca977fca","year":1996},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.756402Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:029324de667d70998784b2a06d8facd504e5f75802d1ebdd2b822c4bf88db2f1","observation_id":"d22e2c26-8d49-4640-b677-42b5af71bce0","resolution":{"observed_at":"2026-08-12T13:32:31.655307Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T13:32:30.761426Z","title":"The faiss library,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.761426Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:10b48e1c1df3805e4a60cbd67267072401a728677f754247158b5419c7c33e56","observation_id":"c414ddb3-a5ed-4217-b2c4-48e4e4c88e94","resolution":{"observed_at":"2026-08-12T13:32:30.761426Z","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":"2026-08-12T13:32:31.622789Z","title":"Visual simultaneous localization and mapping: a survey","venue":null,"work_id":"069db300-c92d-4f47-9f33-3ca6f863a7ef","year":2015},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.766353Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:7b2bbf74a8e53db20b9cfbeeae1e09d7cb257a98d3df49a9af9b9ce43a471ac7","observation_id":"a046a7f6-975c-40c9-8307-edc5cbcaa146","resolution":{"observed_at":"2026-08-12T13:32:31.627840Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T13:32:30.771259Z","title":null,"venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.771259Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:f61bfe3a949a553089e810392b9542e5d5d553d89f6856c0ca6da1c9a2a0c590","observation_id":"01fcbde9-86ab-4185-abee-d293f5cb9f89","resolution":{"observed_at":"2026-08-12T13:32:30.771259Z","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":"2026-08-12T13:32:31.593847Z","title":"Cp-slam: Collaborative neural point-based slam system, 2023","venue":null,"work_id":"d78aee64-1b52-45ff-939a-de3fc6e0ed72","year":2023},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.776420Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:6ebdf9873eca00914e7beaf2423f478481f953036fd9f32ac1c69626c0fc803b","observation_id":"19aed376-86f1-4fee-8d7b-301f4c670e32","resolution":{"observed_at":"2026-08-12T13:32:31.599171Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T13:32:31.577285Z","title":"Cg-slam: Efficient dense rgb-d slam in a consistent uncertainty-aware 3d gaussian field, 2024","venue":null,"work_id":"7f419c19-e320-4d28-983a-d8a790fbd7bb","year":2024},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.781040Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:40b72e0bea72dac212cd7d7a20861f06b2718fe2a0d7af949990149a82dd99c3","observation_id":"06dd49c6-8b5a-457a-adde-dbda0fa91c51","resolution":{"observed_at":"2026-08-12T13:32:31.582873Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T13:32:31.561056Z","title":"Photo-slam: Real-time simultaneous localization and photo- realistic mapping for monocular, stereo, and rgb-d cameras","venue":null,"work_id":"47977343-591f-45ec-a3d4-84070fa9e5e4","year":2024},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.785783Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:13f122d759b3d7ba512241f86d041eb7a24a851d0240b34edfcbff0b7a745e85","observation_id":"fff0eac8-0d2d-48ed-9814-aeb11b0699b1","resolution":{"observed_at":"2026-08-12T13:32:31.566177Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T13:32:31.544300Z","title":"A survey of state-of-the-art on visual slam","venue":null,"work_id":"ad9f0aee-be87-40cf-8dce-1619c66b4830","year":2022},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.790629Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:bf5fa072d1ff5fc9545f34b0fd5b01cd22c700554fb2d480cb6291992be77b45","observation_id":"9043db8e-a5ad-4daf-8888-0532065c0d74","resolution":{"observed_at":"2026-08-12T13:32:31.549300Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T13:32:31.528999Z","title":"Splatam: Splat, track & map 3d gaussians for dense rgb-d slam","venue":null,"work_id":"6dee3344-ee58-4929-9acd-5091752e7ffa","year":2023},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.795666Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:20e298fbbcfdb86d1ca9efa1d3b969924bb734554706c290c215f5baa02918a3","observation_id":"30d2e89b-870c-459c-a50c-92c94bf5dec7","resolution":{"observed_at":"2026-08-12T13:32:31.533940Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T13:32:30.800353Z","title":"3d gaussian splatting for real-time radiance field rendering","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.800353Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:d9de30c5b572b36521db998f37801b18f856562ab2c0832bf637f102586e4d3f","observation_id":"9a7aa6e8-8900-4a96-a2a3-0aab70f0f6ce","resolution":{"observed_at":"2026-08-12T13:32:30.800353Z","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":"2026-08-12T13:32:31.502486Z","title":"G2o: A general framework for graph optimization","venue":null,"work_id":"08e73116-d61d-48f7-b203-15c047509ced","year":2011},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.805134Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:c234894aa929bd6b9052a98b24b4254dbbe30584dff4dc6eaefb4bc155b07f95","observation_id":"f0af41ba-6dbf-4eba-8b3e-b11043038f94","resolution":{"observed_at":"2026-08-12T13:32:31.507229Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T13:32:31.485495Z","title":"Swarm-slam: Sparse decentralized collaborative simultaneous localization and mapping framework for multi-robot systems","venue":null,"work_id":"df971abe-87e9-404c-a748-7d3eb2839d28","year":2024},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.810327Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:4604dad8c78d8993b183ae4c78bcd1c77271d57158f4b2ddadeb2b0cb4290a89","observation_id":"15293104-310f-489c-95ac-5256937ef126","resolution":{"observed_at":"2026-08-12T13:32:31.491002Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T13:32:31.467940Z","title":"Door-slam: Distributed, online, and outlier resilient slam for robotic teams","venue":null,"work_id":"220bbeff-eb40-4c45-ab1e-310a56977afb","year":2020},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.814888Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:d0883efb4e76e9192430638537ea3b82303990594eae2f57309a7656f978d6a6","observation_id":"31fef25f-165f-4f91-8c42-63b75d865383","resolution":{"observed_at":"2026-08-12T13:32:31.473116Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T13:32:31.451018Z","title":"Loopy-slam: Dense neural slam with loop closures","venue":null,"work_id":"66721671-f1d2-40cc-a22a-2a70b1813e8a","year":2024},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.819348Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:d4be2510efbae3b8c126e9de1c4bd9e0ee50c56416b2ffa0ec469108e39a454b","observation_id":"317ffc5d-dd61-4d8c-a63c-835b8041dbfb","resolution":{"observed_at":"2026-08-12T13:32:31.456260Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T13:32:31.433975Z","title":"Eslam: Efficient dense slam system based on hy- brid representation of signed distance fields","venue":null,"work_id":"e17fd0f7-9b65-420e-ad2b-92455064d0f9","year":2022},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.824158Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:398a758b2164e5e216421a8e7c1ab183bc44c180b7d5747d464f85dd5347ccfe","observation_id":"18cf76f5-9c0e-4c6e-acda-3a2f56af4735","resolution":{"observed_at":"2026-08-12T13:32:31.439287Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.13654","last_updated":"2023-03-29T15:12:24Z","snapshot_observed_at":"2026-08-15T01:35:16.094643Z","submitted_at":"2023-03-23T20:22:01Z","title":"NEWTON: Neural View-Centric Mapping for On-the-Fly Large-Scale SLAM","version":2},"cited_work":{"arxiv_id":"2303.13654","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.13654","snapshot_observed_at":"2026-08-12T13:32:31.010258Z","title":"NEWTON: Neural View-Centric Mapping for On-the-Fly Large-Scale SLAM","venue":"cs.CV","work_id":"7fc55e90-928b-46c6-8212-c82ec843875c","year":2023},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.829004Z"},"links":{"cited_paper":"/paper/2303.13654","citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:e767e1cb860ecf36914dc6410ef9fdb73949da29213c4d325bc6326f8a464380","observation_id":"bd68a6e9-e163-4ee9-a41e-be2f2ad9e2e3","resolution":{"observed_at":"2026-08-12T13:32:31.017693Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T13:32:31.417550Z","title":null,"venue":null,"work_id":"fa02532c-56bb-4103-a831-e7d61e35cd9b","year":2024},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.834039Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:274e36df4713a6477d5742a15f350357880733d10265be42ebe802ff1dec756f","observation_id":"6c830da8-eaa9-48e7-87c9-69fa38d1023c","resolution":{"observed_at":"2026-08-12T13:32:31.422423Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T13:32:31.400696Z","title":"Srinivasan, Matthew Tancik, Jonathan T","venue":null,"work_id":"f003d0b3-6151-44b2-ba3f-27c174f55bb4","year":2020},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.838784Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:319b16b8bb50b75211fca783f65134bdc9323eda2494ef9a242dcdd7a2cac77e","observation_id":"bdfcb257-9f1a-4ff3-bce2-169f3801f69d","resolution":{"observed_at":"2026-08-12T13:32:31.406009Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T13:32:30.843536Z","title":"Instant neural graphics primitives with a mul- tiresolution hash encoding","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.843536Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:61c9d966f958d7447765f6822ce9c6ccb1b59af1542986adb31c5678f19098ac","observation_id":"363d9386-33d1-4410-9185-c3e68f60e606","resolution":{"observed_at":"2026-08-12T13:32:30.843536Z","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":"2026-08-12T13:32:31.372853Z","title":"Dinov2: Learning robust visual features with- out supervision, 2024","venue":null,"work_id":"4f66460d-26df-430c-bff1-0632f16ec8cd","year":2024},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.848380Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:4b91cb3b494b16a71a4725b7c772d59f1335921f93f5589bbc3f1f750c998cbd","observation_id":"0d2a5f8d-69ec-4a19-872e-3582d552a828","resolution":{"observed_at":"2026-08-12T13:32:31.378382Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T13:32:31.356193Z","title":"Aria digital twin: A new benchmark dataset for egocentric 3d machine percep- tion, 2023","venue":null,"work_id":"a8040eec-79f7-462c-9a42-bb598aa2d5c4","year":2023},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.853219Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:9df9cd6be90cdf29cfdc14e232f28df1f87e571c9cfa528ec30e2899e93fdab7","observation_id":"43d0ab31-5fb5-45ba-aa1f-8dc6b4eb4c30","resolution":{"observed_at":"2026-08-12T13:32:31.361362Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T13:32:31.339778Z","title":"Colored point cloud registration revisited","venue":null,"work_id":"3583ce72-01a2-4549-9d11-b8e257058372","year":2017},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.858039Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:9c3a7901d40436ef60c2ac6255a4cc90257b94736548c0d1c31fc92dabb3ee64","observation_id":"0be132f8-247a-42b8-9c31-572875f0d7cf","resolution":{"observed_at":"2026-08-12T13:32:31.345211Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T13:32:31.323090Z","title":"Rtg-slam: Real-time 3d reconstruction at scale using gaussian splatting","venue":null,"work_id":"cc15846a-b241-4479-892a-6571f1b22c9b","year":2024},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.863129Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:619bb3f31023bb011d8a54bf70b6a5313ceba08353c0d401418715765d2cc63e","observation_id":"201defac-1124-42d5-a2dd-956c9c7fae54","resolution":{"observed_at":"2026-08-12T13:32:31.328331Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T13:32:31.305910Z","title":"Leonard, and Luca Carlone","venue":null,"work_id":"98624ae4-29cc-4761-bf6d-18b50401b76b","year":2022},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.868168Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:1254c0bbec3ada4ea427e62ae204763f7c18e96e3abbbd0f34b8a6eb8526a82e","observation_id":"09482ee9-5999-48ad-864f-3d08d4239610","resolution":{"observed_at":"2026-08-12T13:32:31.311404Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T13:32:31.287872Z","title":"Fast point feature histograms (fpfh) for 3d registration","venue":null,"work_id":"ca634405-b8d9-43da-a7d5-6c730f8ee78a","year":2009},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.874395Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:61192400089f21bdd2f76d587a769ff1dc75bac75ea63fddb90cc6435a07e2e9","observation_id":"6029b6b4-d461-4ddc-813f-a6583ef51e13","resolution":{"observed_at":"2026-08-12T13:32:31.293737Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T13:32:31.271452Z","title":"Point-slam: Dense neural point cloud-based slam","venue":null,"work_id":"8355e948-ed01-4298-b7c1-30222aabe1c5","year":2023},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.879861Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:0ea3c0f69f71baa4e1f8ca68ad97946cf5ea23238fedae1f1f4875cf8cf61914","observation_id":"f546ff1b-8144-4552-a277-68f50e3aa1be","resolution":{"observed_at":"2026-08-12T13:32:31.276292Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T13:32:31.253601Z","title":"CCM-SLAM: Robust and efficient centralized collaborative monocular simultane- ous localization and mapping for robotic teams","venue":null,"work_id":"422b4373-4c73-4ce9-b620-196237d3c749","year":2018},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.884902Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:989afb805d469ffa57c9b79275bfd9b9bd50021170dcc93aec991d596d99edbb","observation_id":"b320b341-9f1f-408e-ab30-ba7ef64c5c8e","resolution":{"observed_at":"2026-08-12T13:32:31.259615Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T13:32:31.234335Z","title":"Smith and Peter Cheeseman","venue":null,"work_id":"5c5d3f92-1a98-4925-98f7-7af1f3dc1b6b","year":1986},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.889848Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:b82453a158332f0773fbaa76fdaf8439f30727ee2584eb7ac561b57aee91ac20","observation_id":"c5d3000e-6703-4879-8ba4-4eb90459866e","resolution":{"observed_at":"2026-08-12T13:32:31.239434Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T13:32:31.216588Z","title":"A benchmark for the evalua- tion of RGB-D SLAM systems","venue":null,"work_id":"a4799bb4-4e70-4090-b2d8-2360cd27e146","year":2012},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.894824Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:25955fff01572dd4095d919db28bbfc141f17592a2a6253446798bf7f1e0fc4c","observation_id":"868ffa9b-f616-438e-82cd-d63230921909","resolution":{"observed_at":"2026-08-12T13:32:31.221797Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T13:32:31.199924Z","title":"Davi- son","venue":null,"work_id":"96788617-a4bd-4d6d-ae73-cd75fc4973dc","year":2021},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.899714Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:0dd4c314c3b66dfd5bd99e6df1050e3bf893c4a3473867e1eb7e39002a76fdca","observation_id":"7467119d-6906-4d89-ba03-3524f63eb205","resolution":{"observed_at":"2026-08-12T13:32:31.205513Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T13:32:31.184396Z","title":"Oswald, and Matteo Poggi","venue":null,"work_id":"bd51576e-a390-4768-8e6e-acfaa9725ec4","year":2024},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.904434Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:91482bb6588db310dce2586cd30277e47db0b357684868a5bbbd55484bb5dbb9","observation_id":"79f27c94-c09c-4a12-9d4b-32e683efdafd","resolution":{"observed_at":"2026-08-12T13:32:31.189197Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T13:32:31.167909Z","title":"Co- slam: Joint coordinate and sparse parametric encodings for neural real-time slam","venue":null,"work_id":"be4d4f6c-8f64-4d63-83ed-c070f72dbe39","year":2023},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.909393Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:5319c46a7f6bb4a73ac654d53d347ce60fae3f5af1e05d0e0b3982e1f23f555d","observation_id":"1741021d-773a-4ef0-8834-dfc590b94eee","resolution":{"observed_at":"2026-08-12T13:32:31.173591Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T13:32:30.914171Z","title":"Image quality assessment: from error visibility to structural similarity","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.914171Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:34dad10c354cf3781fcf33563266f529ae1d8519deb0c90ebbd33ab28b531916","observation_id":"c08ba9d0-c2ab-4e44-b223-44833c00c5c2","resolution":{"observed_at":"2026-08-12T13:32:30.914171Z","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":"2026-08-12T13:32:31.140797Z","title":"Gs-slam: Dense visual slam with 3d gaussian splatting, 2024","venue":null,"work_id":"e0c472a3-10aa-472b-8de4-9ad153f5cf1c","year":2024},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.919164Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:2c2f4d64458e3defe186deff806d85a857d3bfa01ac45a859f11e0a5996b6bf6","observation_id":"4a6e6b3e-b63c-4d50-a7c5-1826cf86d807","resolution":{"observed_at":"2026-08-12T13:32:31.145883Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T13:32:31.124509Z","title":"V ox-fusion: Dense tracking and mapping with voxel-based neural implicit representation","venue":null,"work_id":"15321609-ee65-4785-b589-104e8b2b9c1d","year":2022},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.923912Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:5f4ff9a3ee4343de02b355e2e6820284dcfde595a9a23e7685de8d4bbd8f6221","observation_id":"c7aee934-3a1d-4dff-a32c-890a0ad50374","resolution":{"observed_at":"2026-08-12T13:32:31.129507Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T13:32:30.928764Z","title":"Plenoxels: Radiance fields without neural networks, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.928764Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:bf6260a16b95bba8ca7f733d498d2cf3726476785940c9fd759a205c175f20dd","observation_id":"6caa6f95-b34a-43d2-957c-eb746b380a37","resolution":{"observed_at":"2026-08-12T13:32:30.928764Z","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":"2026-08-12T13:32:31.097620Z","title":"Os- wald","venue":null,"work_id":"a8786464-0b2c-49b1-a9ab-2526fb777886","year":2024},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.933479Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:9cfeff1bd13f32feab236eb7d9876277ab47d1da21bedc7bc17952172aa0cdf5","observation_id":"6560bace-2ee8-4a56-a6a3-097180856a63","resolution":{"observed_at":"2026-08-12T13:32:31.102633Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T13:32:31.080609Z","title":"The unreasonable effectiveness of deep features as a perceptual metric","venue":null,"work_id":"f48c7728-7e41-477d-842c-20fc76e30e6a","year":2018},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.938242Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:c26fb9761461397fd4041cec9122cba740d30341a40fb1e21c242c08fe38e05d","observation_id":"c12cd4f9-f930-4b76-aeb3-6890a5223273","resolution":{"observed_at":"2026-08-12T13:32:31.085927Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.02436","last_updated":"2023-09-05T17:59:58Z","snapshot_observed_at":"2026-08-13T10:19:51.877056Z","submitted_at":"2023-09-05T17:59:58Z","title":"GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.02436","snapshot_observed_at":"2026-08-12T13:32:30.942913Z","title":"Go-slam: Global optimization for consistent 3d instant reconstruction","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.942913Z"},"links":{"cited_paper":"/paper/2309.02436","citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:3d7d6f46695a2a0a8f07fd1332b23c73205453fc2ed09de2ac0a0ec3d90b1dd1","observation_id":"0e83c2ad-cb28-4568-b633-3b8edb5aef1c","resolution":{"observed_at":"2026-08-12T13:32:30.942913Z","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":"2026-08-12T13:32:31.064286Z","title":"Loopsplat: Loop closure by registering 3d gaussian splats, 2024","venue":null,"work_id":"9b8e0868-839e-48e4-a332-9461acbf24b7","year":2024},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.948496Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:7a58986fd053614213194d3d6c10589d43e68db108dbf6bba9783f5de5743606","observation_id":"ed9c22b4-a8a1-49ac-9e88-9fc28e2ded4d","resolution":{"observed_at":"2026-08-12T13:32:31.069350Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T13:32:31.048105Z","title":"Nice-slam: Neural implicit scalable encoding for slam","venue":null,"work_id":"321243de-c02f-41e6-a07f-8cf2a1345b20","year":2022},"citing_paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-12T13:32:30.953133Z"},"links":{"citing_paper":"/paper/2411.16785"},"observation_digest":"sha256:3c641567b956b05d033bbb13ed471972b1752700bdc51e1dcadf6a221a3fd274","observation_id":"0929cfe1-4632-40fa-b5a8-0d60709a30d5","resolution":{"observed_at":"2026-08-12T13:32:31.053196Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.16785","last_updated":"2024-11-25T08:34:01Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T13:21:59.216948Z","submitted_at":"2024-11-25T08:34:01Z","title":"MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM"},"reference_resolution":{"displayed":47,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":10,"verified_exact":1,"verified_fuzzy":36},"total_outbound_references":47},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 2 inbound Pith citation observations for arXiv:2411.16785."}