{"as_of":"2026-08-21T18:14:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8eab97accb8f0bd566f39bc9e875e16e6c3b1a29b3dfb2c1fd36df0066942924","coverage":[{"denominator":29,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":29,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T15:34:46.231755Z","state":"measured"},{"denominator":29,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":29,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"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":[],"links":{"evidence":"/evidence","html":"/paper/2501.13876/citation-record","integrity":"/paper/2501.13876/integrity","json":"/paper/2501.13876/citation-record.json","paper":"/paper/2501.13876"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:34:46.094534Z","title":"Loam: Lidar odometry and mapping in real- time","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2501.13876","last_updated":"2025-01-23T17:49:49Z","snapshot_observed_at":"2026-08-14T11:39:35.710516Z","submitted_at":"2025-01-23T17:49:49Z","title":"FAST-LIVO2 on Resource-Constrained Platforms: LiDAR-Inertial-Visual Odometry with Efficient Memory and Computation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T15:34:46.094534Z"},"links":{"citing_paper":"/paper/2501.13876"},"observation_digest":"sha256:cea2d27cf78c820e611d83f355825c1a42d158b8bc83274ee621f81efa858150","observation_id":"feceed5b-e503-48fd-ab1e-52ab3b997ac6","resolution":{"observed_at":"2026-08-10T15:34:46.094534Z","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":"2026-08-10T15:34:46.100365Z","title":"Vins-mono: A robust and versatile monoc- ular visual-inertial state estimator,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2501.13876","last_updated":"2025-01-23T17:49:49Z","snapshot_observed_at":"2026-08-14T11:39:35.710516Z","submitted_at":"2025-01-23T17:49:49Z","title":"FAST-LIVO2 on Resource-Constrained Platforms: LiDAR-Inertial-Visual Odometry with Efficient Memory and Computation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T15:34:46.100365Z"},"links":{"citing_paper":"/paper/2501.13876"},"observation_digest":"sha256:173a6f772b7e1a466604e40d47a5d77b4b7a972203bd3b4e425721c1e089b3e9","observation_id":"82b17890-e833-4186-9b18-db5b1958ad45","resolution":{"observed_at":"2026-08-10T15:34:46.100365Z","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":"2026-08-10T15:34:46.687663Z","title":"Fast-lio: A fast, robust lidar-inertial odometry package by tightly-coupled iterated kalman filter,","venue":null,"work_id":"f2171f0b-aa9d-43a9-a5ba-1d26f96a1a7f","year":2021},"citing_paper":{"arxiv_id":"2501.13876","last_updated":"2025-01-23T17:49:49Z","snapshot_observed_at":"2026-08-14T11:39:35.710516Z","submitted_at":"2025-01-23T17:49:49Z","title":"FAST-LIVO2 on Resource-Constrained Platforms: LiDAR-Inertial-Visual Odometry with Efficient Memory and Computation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T15:34:46.105009Z"},"links":{"citing_paper":"/paper/2501.13876"},"observation_digest":"sha256:3883656110ce91ec1056c1f0f15b6f05a81af41cd852d5f854ee25f7f4601c54","observation_id":"8019bbbe-2c98-4c2e-9d89-3fcbf009fb83","resolution":{"observed_at":"2026-08-10T15:34:46.693640Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T15:34:46.672047Z","title":"Lvi-sam: Tightly-coupled lidar-visual-inertial odometry via smoothing and mapping,","venue":null,"work_id":"d58fe535-568c-49af-8fa1-e9b400fa2cb4","year":2021},"citing_paper":{"arxiv_id":"2501.13876","last_updated":"2025-01-23T17:49:49Z","snapshot_observed_at":"2026-08-14T11:39:35.710516Z","submitted_at":"2025-01-23T17:49:49Z","title":"FAST-LIVO2 on Resource-Constrained Platforms: LiDAR-Inertial-Visual Odometry with Efficient Memory and Computation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T15:34:46.109667Z"},"links":{"citing_paper":"/paper/2501.13876"},"observation_digest":"sha256:cfe072e9e3f4df49d4a4fcef073e291bea4047c3b084616e586c0bd8988d9d84","observation_id":"0430660a-2691-4303-996a-3891a4583b8d","resolution":{"observed_at":"2026-08-10T15:34:46.677011Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T15:34:46.114838Z","title":"Fast-livo: Fast and tightly-coupled sparse-direct lidar-inertial-visual odometry,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.13876","last_updated":"2025-01-23T17:49:49Z","snapshot_observed_at":"2026-08-14T11:39:35.710516Z","submitted_at":"2025-01-23T17:49:49Z","title":"FAST-LIVO2 on Resource-Constrained Platforms: LiDAR-Inertial-Visual Odometry with Efficient Memory and Computation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T15:34:46.114838Z"},"links":{"citing_paper":"/paper/2501.13876"},"observation_digest":"sha256:374becd0cfcd97d115dd9d6986008ce4cc78e5614c4e12c5d379c54d1d154520","observation_id":"90d1d355-65a5-4082-860e-bbc6b0e829da","resolution":{"observed_at":"2026-08-10T15:34:46.114838Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.14035","last_updated":"2024-08-28T12:03:50Z","snapshot_observed_at":"2026-08-21T14:11:30.718420Z","submitted_at":"2024-08-26T06:01:54Z","title":"FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.14035","snapshot_observed_at":"2026-08-10T15:34:46.119632Z","title":"Fast-livo2: Fast, direct lidar-inertial-visual odometry,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.13876","last_updated":"2025-01-23T17:49:49Z","snapshot_observed_at":"2026-08-14T11:39:35.710516Z","submitted_at":"2025-01-23T17:49:49Z","title":"FAST-LIVO2 on Resource-Constrained Platforms: LiDAR-Inertial-Visual Odometry with Efficient Memory and Computation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T15:34:46.119632Z"},"links":{"cited_paper":"/paper/2408.14035","citing_paper":"/paper/2501.13876"},"observation_digest":"sha256:b1f4523c26949e77fcaa9144f175a8b021ff788741d15797c0e1cc5076bd8a5b","observation_id":"8d2154b5-a441-48b2-9ab6-80f98cf7a301","resolution":{"observed_at":"2026-08-10T15:34:46.119632Z","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":"2026-08-10T15:34:46.644855Z","title":"R 2live: A robust, real- time, lidar-inertial-visual tightly-coupled state estimator and mapping,","venue":null,"work_id":"3b7ab1c4-4a3b-41cb-9933-54e1b2b6c4ce","year":2021},"citing_paper":{"arxiv_id":"2501.13876","last_updated":"2025-01-23T17:49:49Z","snapshot_observed_at":"2026-08-14T11:39:35.710516Z","submitted_at":"2025-01-23T17:49:49Z","title":"FAST-LIVO2 on Resource-Constrained Platforms: LiDAR-Inertial-Visual Odometry with Efficient Memory and Computation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T15:34:46.125216Z"},"links":{"citing_paper":"/paper/2501.13876"},"observation_digest":"sha256:e8e250be0ba63e3a966a3d6bc8b8bcbe238b7e842e63e9e4bab4aeaee4a9f8dd","observation_id":"d7267b77-b692-49a8-89f4-c1b43d039f08","resolution":{"observed_at":"2026-08-10T15:34:46.649825Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T15:34:46.629668Z","title":"R 3 live: A robust, real-time, rgb-colored, lidar- inertial-visual tightly-coupled state estimation and mapping package,","venue":null,"work_id":"6352ee78-888c-454f-a903-9806417d6419","year":2022},"citing_paper":{"arxiv_id":"2501.13876","last_updated":"2025-01-23T17:49:49Z","snapshot_observed_at":"2026-08-14T11:39:35.710516Z","submitted_at":"2025-01-23T17:49:49Z","title":"FAST-LIVO2 on Resource-Constrained Platforms: LiDAR-Inertial-Visual Odometry with Efficient Memory and Computation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T15:34:46.129893Z"},"links":{"citing_paper":"/paper/2501.13876"},"observation_digest":"sha256:183ec5c9ebdbf0445665bbf019db9bcc2db7159093ea46aa341f6e37b1b9321e","observation_id":"09415edf-53c4-4741-a11d-dae56b882b74","resolution":{"observed_at":"2026-08-10T15:34:46.634235Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T15:34:46.614765Z","title":"Svo: Semidirect visual odometry for monocular and multicamera systems,","venue":null,"work_id":"c9b0e45f-3a56-4a4e-b29a-35c58bc2ba7b","year":2016},"citing_paper":{"arxiv_id":"2501.13876","last_updated":"2025-01-23T17:49:49Z","snapshot_observed_at":"2026-08-14T11:39:35.710516Z","submitted_at":"2025-01-23T17:49:49Z","title":"FAST-LIVO2 on Resource-Constrained Platforms: LiDAR-Inertial-Visual Odometry with Efficient Memory and Computation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T15:34:46.134727Z"},"links":{"citing_paper":"/paper/2501.13876"},"observation_digest":"sha256:ab13d65f77e38e24b196f50d6c4b416bdea40a4237961c78fed5a10a9a5673c5","observation_id":"193bfb3c-e870-4682-9e3c-85f18ea8c2c7","resolution":{"observed_at":"2026-08-10T15:34:46.619580Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T15:34:46.139572Z","title":"Openvins: A research platform for visual-inertial estimation,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.13876","last_updated":"2025-01-23T17:49:49Z","snapshot_observed_at":"2026-08-14T11:39:35.710516Z","submitted_at":"2025-01-23T17:49:49Z","title":"FAST-LIVO2 on Resource-Constrained Platforms: LiDAR-Inertial-Visual Odometry with Efficient Memory and Computation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T15:34:46.139572Z"},"links":{"citing_paper":"/paper/2501.13876"},"observation_digest":"sha256:4f1b22a6589a2d26824bcc13aba119abeeba531d76e1c99724e1b6dc712ba693","observation_id":"dace1ff7-cbef-4f63-82a4-2ad869fe46b1","resolution":{"observed_at":"2026-08-10T15:34:46.139572Z","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":"2026-08-10T15:34:46.144798Z","title":"Ego-planner: An esdf- free gradient-based local planner for quadrotors,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.13876","last_updated":"2025-01-23T17:49:49Z","snapshot_observed_at":"2026-08-14T11:39:35.710516Z","submitted_at":"2025-01-23T17:49:49Z","title":"FAST-LIVO2 on Resource-Constrained Platforms: LiDAR-Inertial-Visual Odometry with Efficient Memory and Computation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T15:34:46.144798Z"},"links":{"citing_paper":"/paper/2501.13876"},"observation_digest":"sha256:87baa08d767b19587de35469b2082b3979e4ed0d8d2ce2f5b802c5e467bad0c0","observation_id":"409de459-850a-478c-ab5c-a835918f1565","resolution":{"observed_at":"2026-08-10T15:34:46.144798Z","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":"2026-08-10T15:34:46.578706Z","title":"On-manifold model predictive control for trajectory tracking on robotic systems,","venue":null,"work_id":"4da6edd0-9b5b-4933-aef9-4023ee24901b","year":2022},"citing_paper":{"arxiv_id":"2501.13876","last_updated":"2025-01-23T17:49:49Z","snapshot_observed_at":"2026-08-14T11:39:35.710516Z","submitted_at":"2025-01-23T17:49:49Z","title":"FAST-LIVO2 on Resource-Constrained Platforms: LiDAR-Inertial-Visual Odometry with Efficient Memory and Computation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T15:34:46.149723Z"},"links":{"citing_paper":"/paper/2501.13876"},"observation_digest":"sha256:abe4a0863684b63d49994fbcf1266535fb9bbff20417877477191978e0665621","observation_id":"868f437a-98c2-4349-b73f-789ad6a591de","resolution":{"observed_at":"2026-08-10T15:34:46.583573Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T15:34:46.561990Z","title":"On degeneracy of optimization- based state estimation problems,","venue":null,"work_id":"b5a812db-8d69-4a21-a6d0-5c2155b5aa22","year":2016},"citing_paper":{"arxiv_id":"2501.13876","last_updated":"2025-01-23T17:49:49Z","snapshot_observed_at":"2026-08-14T11:39:35.710516Z","submitted_at":"2025-01-23T17:49:49Z","title":"FAST-LIVO2 on Resource-Constrained Platforms: LiDAR-Inertial-Visual Odometry with Efficient Memory and Computation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T15:34:46.154683Z"},"links":{"citing_paper":"/paper/2501.13876"},"observation_digest":"sha256:38a82153558c18a10d661d4d1aafc1e62634aec57516025891ba63a86b00b85e","observation_id":"2fe3c50e-83ac-42cf-be8b-05e689fccf8c","resolution":{"observed_at":"2026-08-10T15:34:46.567077Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T15:34:46.546522Z","title":"X-icp: Localizability-aware lidar registration for robust localization in ex- treme environments,","venue":null,"work_id":"5a7078e9-2577-4266-a24d-fdce827a3ae3","year":2023},"citing_paper":{"arxiv_id":"2501.13876","last_updated":"2025-01-23T17:49:49Z","snapshot_observed_at":"2026-08-14T11:39:35.710516Z","submitted_at":"2025-01-23T17:49:49Z","title":"FAST-LIVO2 on Resource-Constrained Platforms: LiDAR-Inertial-Visual Odometry with Efficient Memory and Computation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T15:34:46.159455Z"},"links":{"citing_paper":"/paper/2501.13876"},"observation_digest":"sha256:b5d03d0dff7d3adfc963d24ad8cabb4ee2db8f1d435f43691653d423ef667647","observation_id":"4e1b3ef0-d108-4de7-8ff2-6c9f451f87e7","resolution":{"observed_at":"2026-08-10T15:34:46.551822Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T15:34:46.529959Z","title":"Adalio: Robust adaptive lidar-inertial odometry in degenerate indoor environments,","venue":null,"work_id":"6e105230-ca99-4adc-8c59-7522b35d8781","year":2023},"citing_paper":{"arxiv_id":"2501.13876","last_updated":"2025-01-23T17:49:49Z","snapshot_observed_at":"2026-08-14T11:39:35.710516Z","submitted_at":"2025-01-23T17:49:49Z","title":"FAST-LIVO2 on Resource-Constrained Platforms: LiDAR-Inertial-Visual Odometry with Efficient Memory and Computation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T15:34:46.163972Z"},"links":{"citing_paper":"/paper/2501.13876"},"observation_digest":"sha256:1e66546d92b62393702e606c09f7b4c2b174f391cc6063ec96fab4ec88451dc8","observation_id":"5cae071d-291e-4637-be72-127be012a9d3","resolution":{"observed_at":"2026-08-10T15:34:46.535941Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.11426","last_updated":"2024-08-21T08:35:12Z","snapshot_observed_at":"2026-08-16T13:24:58.328068Z","submitted_at":"2024-08-21T08:35:12Z","title":"AS-LIO: Spatial Overlap Guided Adaptive Sliding Window LiDAR-Inertial Odometry for Aggressive FOV Variation","version":1},"cited_work":{"arxiv_id":"2408.11426","doi":null,"metadata_source":"pith","pith_arxiv_id":"2408.11426","snapshot_observed_at":"2026-08-10T15:34:46.292754Z","title":"AS-LIO: Spatial Overlap Guided Adaptive Sliding Window LiDAR-Inertial Odometry for Aggressive FOV Variation","venue":"cs.RO","work_id":"75839f8c-a156-4031-8db5-984e4e9fc477","year":2024},"citing_paper":{"arxiv_id":"2501.13876","last_updated":"2025-01-23T17:49:49Z","snapshot_observed_at":"2026-08-14T11:39:35.710516Z","submitted_at":"2025-01-23T17:49:49Z","title":"FAST-LIVO2 on Resource-Constrained Platforms: LiDAR-Inertial-Visual Odometry with Efficient Memory and Computation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T15:34:46.168656Z"},"links":{"cited_paper":"/paper/2408.11426","citing_paper":"/paper/2501.13876"},"observation_digest":"sha256:632f8e22aae0502d0e63c5483a72bd1137db88a1ce77c50f547776919affd8ef","observation_id":"edc6b3e3-f912-46df-b0dc-7358b4947a61","resolution":{"observed_at":"2026-08-10T15:34:46.299639Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T15:34:46.514174Z","title":"Swarm-lio: Decentralized swarm lidar-inertial odometry,","venue":null,"work_id":"739e8aea-7ed1-4659-9065-f75923fd8ffb","year":2023},"citing_paper":{"arxiv_id":"2501.13876","last_updated":"2025-01-23T17:49:49Z","snapshot_observed_at":"2026-08-14T11:39:35.710516Z","submitted_at":"2025-01-23T17:49:49Z","title":"FAST-LIVO2 on Resource-Constrained Platforms: LiDAR-Inertial-Visual Odometry with Efficient Memory and Computation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T15:34:46.173756Z"},"links":{"citing_paper":"/paper/2501.13876"},"observation_digest":"sha256:b0038c65ce4682792be3a9713565c3ab094c516cc2f1bba77d1bf5d5fa5160ff","observation_id":"0081a07e-66df-4a2d-b16a-d635064740a5","resolution":{"observed_at":"2026-08-10T15:34:46.519243Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T15:34:46.495102Z","title":"Swarm-lio2: Decentralized, efficient lidar-inertial odometry for uav swarms,","venue":null,"work_id":"8706b34d-cc0d-4ea5-af89-a0d4bcc6c26f","year":2024},"citing_paper":{"arxiv_id":"2501.13876","last_updated":"2025-01-23T17:49:49Z","snapshot_observed_at":"2026-08-14T11:39:35.710516Z","submitted_at":"2025-01-23T17:49:49Z","title":"FAST-LIVO2 on Resource-Constrained Platforms: LiDAR-Inertial-Visual Odometry with Efficient Memory and Computation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T15:34:46.178265Z"},"links":{"citing_paper":"/paper/2501.13876"},"observation_digest":"sha256:19e7c540a800f3d8bfe05dc245715903be4f5120d95704bea0ad0ce6a052fdd8","observation_id":"0ef87a0f-7e6d-4570-9e0e-aa6fd9ec8347","resolution":{"observed_at":"2026-08-10T15:34:46.501808Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T15:34:46.477581Z","title":"Switch-slam: Switching-based lidar-inertial-visual slam for degenerate environments,","venue":null,"work_id":"b471c0fd-8a4d-4561-ba32-2e8a03fd932f","year":2024},"citing_paper":{"arxiv_id":"2501.13876","last_updated":"2025-01-23T17:49:49Z","snapshot_observed_at":"2026-08-14T11:39:35.710516Z","submitted_at":"2025-01-23T17:49:49Z","title":"FAST-LIVO2 on Resource-Constrained Platforms: LiDAR-Inertial-Visual Odometry with Efficient Memory and Computation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T15:34:46.183001Z"},"links":{"citing_paper":"/paper/2501.13876"},"observation_digest":"sha256:ac31551fe612ed193c6893889d21acd3348ce3324014870b54ca55ba9d815e76","observation_id":"5ce2d5c0-e180-4687-ae1b-2acda85fefdd","resolution":{"observed_at":"2026-08-10T15:34:46.483202Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T15:34:46.458624Z","title":"Sdv-loam: semi- direct visual–lidar odometry and mapping,","venue":null,"work_id":"ed8137f5-7177-4cdf-b8b9-5074d5a575d9","year":2023},"citing_paper":{"arxiv_id":"2501.13876","last_updated":"2025-01-23T17:49:49Z","snapshot_observed_at":"2026-08-14T11:39:35.710516Z","submitted_at":"2025-01-23T17:49:49Z","title":"FAST-LIVO2 on Resource-Constrained Platforms: LiDAR-Inertial-Visual Odometry with Efficient Memory and Computation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T15:34:46.187568Z"},"links":{"citing_paper":"/paper/2501.13876"},"observation_digest":"sha256:095ba3deb5103799ec48f75f2bda7d80b2963c8efa91988f6c075ecd861fb066","observation_id":"d0fe4027-56ed-48ca-8b2a-b3e9a8d6c581","resolution":{"observed_at":"2026-08-10T15:34:46.465111Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T15:34:46.441695Z","title":"Dv-loam: Direct visual lidar odometry and mapping,","venue":null,"work_id":"6e6d34f2-9966-4c53-a60f-3910fa2db09f","year":2021},"citing_paper":{"arxiv_id":"2501.13876","last_updated":"2025-01-23T17:49:49Z","snapshot_observed_at":"2026-08-14T11:39:35.710516Z","submitted_at":"2025-01-23T17:49:49Z","title":"FAST-LIVO2 on Resource-Constrained Platforms: LiDAR-Inertial-Visual Odometry with Efficient Memory and Computation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T15:34:46.192924Z"},"links":{"citing_paper":"/paper/2501.13876"},"observation_digest":"sha256:76a737c1d189e320018f78ad19ec159996e27e85619cbe2fa80c7b1cc9a6f182","observation_id":"764c2b6c-f744-4bfa-9230-1c076c335163","resolution":{"observed_at":"2026-08-10T15:34:46.446815Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T15:34:46.423039Z","title":"Point-line livo using patch-based gradient optimization for degenerate scenes,","venue":null,"work_id":"2f117fdc-6178-4800-a05f-8f63359a5160","year":2024},"citing_paper":{"arxiv_id":"2501.13876","last_updated":"2025-01-23T17:49:49Z","snapshot_observed_at":"2026-08-14T11:39:35.710516Z","submitted_at":"2025-01-23T17:49:49Z","title":"FAST-LIVO2 on Resource-Constrained Platforms: LiDAR-Inertial-Visual Odometry with Efficient Memory and Computation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T15:34:46.197357Z"},"links":{"citing_paper":"/paper/2501.13876"},"observation_digest":"sha256:faee23861e4afe39112b25ce4059f1be461016ad540048f562133893d41a2229","observation_id":"8e94e5a6-4e4d-4bdb-9062-9e12747aba45","resolution":{"observed_at":"2026-08-10T15:34:46.430529Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T15:34:46.404052Z","title":"Camvox: A low-cost and accurate lidar-assisted visual slam system,","venue":null,"work_id":"3f5d43e1-33bf-482c-8ca1-bfcaa20ab13f","year":2021},"citing_paper":{"arxiv_id":"2501.13876","last_updated":"2025-01-23T17:49:49Z","snapshot_observed_at":"2026-08-14T11:39:35.710516Z","submitted_at":"2025-01-23T17:49:49Z","title":"FAST-LIVO2 on Resource-Constrained Platforms: LiDAR-Inertial-Visual Odometry with Efficient Memory and Computation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T15:34:46.201842Z"},"links":{"citing_paper":"/paper/2501.13876"},"observation_digest":"sha256:701d4e14bd158b2db16db545a1c8d6cc7102b0135e6e4ca5727f3a422d310dea","observation_id":"a7a0faf4-21e4-466a-bcaa-de0f7951efb0","resolution":{"observed_at":"2026-08-10T15:34:46.410697Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T15:34:46.207155Z","title":"Sr-livo: Lidar- inertial-visual odometry and mapping with sweep reconstruction,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.13876","last_updated":"2025-01-23T17:49:49Z","snapshot_observed_at":"2026-08-14T11:39:35.710516Z","submitted_at":"2025-01-23T17:49:49Z","title":"FAST-LIVO2 on Resource-Constrained Platforms: LiDAR-Inertial-Visual Odometry with Efficient Memory and Computation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-10T15:34:46.207155Z"},"links":{"citing_paper":"/paper/2501.13876"},"observation_digest":"sha256:680573677e115c79e6f9f59eb34dd4877225faf60259c8209a3ae56bafea936b","observation_id":"c32df49a-7f78-454b-a6aa-e4772e4b3647","resolution":{"observed_at":"2026-08-10T15:34:46.207155Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2102.10808","last_updated":"2021-02-22T07:14:12Z","snapshot_observed_at":"2026-08-16T18:44:01.951025Z","submitted_at":"2021-02-22T07:14:12Z","title":"ikd-Tree: An Incremental K-D Tree for Robotic Applications","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2102.10808","snapshot_observed_at":"2026-08-10T15:34:46.212079Z","title":"ikd-tree: An incremental kd tree for robotic applications,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.13876","last_updated":"2025-01-23T17:49:49Z","snapshot_observed_at":"2026-08-14T11:39:35.710516Z","submitted_at":"2025-01-23T17:49:49Z","title":"FAST-LIVO2 on Resource-Constrained Platforms: LiDAR-Inertial-Visual Odometry with Efficient Memory and Computation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-10T15:34:46.212079Z"},"links":{"cited_paper":"/paper/2102.10808","citing_paper":"/paper/2501.13876"},"observation_digest":"sha256:ad06af09c999ad3f30a5330cff41b01c7a6394f0fbb49f49096c4fdbdcaf2bc8","observation_id":"3c164d28-9e17-4dcc-aa72-7d87b472df90","resolution":{"observed_at":"2026-08-10T15:34:46.212079Z","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":"2026-08-10T15:34:46.217838Z","title":"Efficient and prob- abilistic adaptive voxel mapping for accurate online lidar odometry,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.13876","last_updated":"2025-01-23T17:49:49Z","snapshot_observed_at":"2026-08-14T11:39:35.710516Z","submitted_at":"2025-01-23T17:49:49Z","title":"FAST-LIVO2 on Resource-Constrained Platforms: LiDAR-Inertial-Visual Odometry with Efficient Memory and Computation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T15:34:46.217838Z"},"links":{"citing_paper":"/paper/2501.13876"},"observation_digest":"sha256:d292112940c1e86f52e8289238e8c26b4ba358e4fe718c24bb6dc4255b0825eb","observation_id":"6b778de7-ee9e-4d02-bf9f-565e0d6f441c","resolution":{"observed_at":"2026-08-10T15:34:46.217838Z","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":"2026-08-10T15:34:46.361905Z","title":"Hilti-oxford dataset: A millimeter- accurate benchmark for simultaneous localization and mapping,","venue":null,"work_id":"a48a34e1-5166-4cd5-afc8-aeed5b13d652","year":2022},"citing_paper":{"arxiv_id":"2501.13876","last_updated":"2025-01-23T17:49:49Z","snapshot_observed_at":"2026-08-14T11:39:35.710516Z","submitted_at":"2025-01-23T17:49:49Z","title":"FAST-LIVO2 on Resource-Constrained Platforms: LiDAR-Inertial-Visual Odometry with Efficient Memory and Computation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T15:34:46.222491Z"},"links":{"citing_paper":"/paper/2501.13876"},"observation_digest":"sha256:5cbdfc92c7abf08edbd61ee41a19652dff9c50cdb37334cb29444081badfe0ec","observation_id":"702f0c68-9bd2-44a0-b2d4-828c383f5292","resolution":{"observed_at":"2026-08-10T15:34:46.367325Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T15:34:46.344536Z","title":"The hilti slam challenge dataset,","venue":null,"work_id":"5ad4d5ac-de4c-475a-8a19-6ab6bb759647","year":2022},"citing_paper":{"arxiv_id":"2501.13876","last_updated":"2025-01-23T17:49:49Z","snapshot_observed_at":"2026-08-14T11:39:35.710516Z","submitted_at":"2025-01-23T17:49:49Z","title":"FAST-LIVO2 on Resource-Constrained Platforms: LiDAR-Inertial-Visual Odometry with Efficient Memory and Computation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-10T15:34:46.227290Z"},"links":{"citing_paper":"/paper/2501.13876"},"observation_digest":"sha256:d8d40eb68fcbf1f95e6d541f298f6b4d42f4c9978de0cbe09c124774b1046b8a","observation_id":"fc047974-4470-4479-b1ab-4b34056d28f3","resolution":{"observed_at":"2026-08-10T15:34:46.350170Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T15:34:46.327273Z","title":"Mars-lvig dataset: A multi-sensor aerial robots slam dataset for lidar-visual-inertial-gnss fusion,","venue":null,"work_id":"461b0066-4207-4b71-bdc7-ed64d79c90f7","year":2024},"citing_paper":{"arxiv_id":"2501.13876","last_updated":"2025-01-23T17:49:49Z","snapshot_observed_at":"2026-08-14T11:39:35.710516Z","submitted_at":"2025-01-23T17:49:49Z","title":"FAST-LIVO2 on Resource-Constrained Platforms: LiDAR-Inertial-Visual Odometry with Efficient Memory and Computation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-10T15:34:46.231755Z"},"links":{"citing_paper":"/paper/2501.13876"},"observation_digest":"sha256:1ae7234cc8dacef87e422926838f69972af930a4d57443b4a0d77fde3103ca92","observation_id":"8b00d853-0498-4319-94f9-b61fe535d478","resolution":{"observed_at":"2026-08-10T15:34:46.332613Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.13876","last_updated":"2025-01-23T17:49:49Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-14T11:39:35.710516Z","submitted_at":"2025-01-23T17:49:49Z","title":"FAST-LIVO2 on Resource-Constrained Platforms: LiDAR-Inertial-Visual Odometry with Efficient Memory and Computation"},"reference_resolution":{"displayed":29,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":1,"verified_fuzzy":19},"total_outbound_references":29},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2501.13876."}