{"as_of":"2026-08-19T23:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5dc9ebf60802979640a127fa6e02c0a381322fcd04e446ed997800b249648991","coverage":[{"denominator":33,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":33,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T22:59:31.236143Z","state":"measured"},{"denominator":33,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":33,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+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/2412.02950/citation-record","integrity":"/paper/2412.02950/integrity","json":"/paper/2412.02950/citation-record.json","paper":"/paper/2412.02950"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"7592.2022","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:59:33.133894Z","title":"Evaluation of a Novel DSO-based Indoor Ceiling-Vision Odometry System","venue":null,"work_id":"21fb0c8e-0e6c-4680-8667-6648d4da3e9a","year":2022},"citing_paper":{"arxiv_id":"2412.02950","last_updated":"2024-12-04T01:36:54Z","snapshot_observed_at":"2026-08-16T06:07:22.341380Z","submitted_at":"2024-12-04T01:36:54Z","title":"An indoor DSO-based ceiling-vision odometry system for indoor industrial environments","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T22:59:31.048621Z"},"links":{"citing_paper":"/paper/2412.02950"},"observation_digest":"sha256:e677b98fa719194607a80a4fc17d53e76768d65076973f00fc4efaa17dcf90a2","observation_id":"26e34be2-445e-42e5-807d-1b58377bbac2","resolution":{"observed_at":"2026-08-11T22:59:33.142087Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2015.1527","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:59:33.048677Z","title":"Application of AGV in Intelligent Logistics System","venue":null,"work_id":"a29890e4-2e0d-448b-a1cc-6819c310bec1","year":2015},"citing_paper":{"arxiv_id":"2412.02950","last_updated":"2024-12-04T01:36:54Z","snapshot_observed_at":"2026-08-16T06:07:22.341380Z","submitted_at":"2024-12-04T01:36:54Z","title":"An indoor DSO-based ceiling-vision odometry system for indoor industrial environments","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T22:59:31.055664Z"},"links":{"citing_paper":"/paper/2412.02950"},"observation_digest":"sha256:239bdcfbb51be606d95ab820c5671c592eb0f33e0720e1a020760e844f5307e7","observation_id":"b9fded1c-2c47-4623-8535-fefe1f1f0f16","resolution":{"observed_at":"2026-08-11T22:59:33.056649Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1080/002075400188456","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:59:31.555733Z","title":"The OmniMate: A Guidewire- and Beacon-Free AGV for Highly Reconfigurable Applications","venue":null,"work_id":"c3180144-ffb2-4f4b-9ef4-8e73c5f793be","year":1993},"citing_paper":{"arxiv_id":"2412.02950","last_updated":"2024-12-04T01:36:54Z","snapshot_observed_at":"2026-08-16T06:07:22.341380Z","submitted_at":"2024-12-04T01:36:54Z","title":"An indoor DSO-based ceiling-vision odometry system for indoor industrial environments","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T22:59:31.061504Z"},"links":{"citing_paper":"/paper/2412.02950"},"observation_digest":"sha256:ebe2ad32295ad2eefee8b12aef583304151627691c817068e6c55e06c14d79c8","observation_id":"b70ded69-73ff-49ca-8728-0ff5cd69fac2","resolution":{"observed_at":"2026-08-11T22:59:31.561047Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2013.67398","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:59:32.949683Z","title":"System and Design of a Compact and Heavy-Payload AGV System for Flexible Production Line","venue":null,"work_id":"d5b037b3-7cb8-4663-90dd-d6d1e027df0d","year":2013},"citing_paper":{"arxiv_id":"2412.02950","last_updated":"2024-12-04T01:36:54Z","snapshot_observed_at":"2026-08-16T06:07:22.341380Z","submitted_at":"2024-12-04T01:36:54Z","title":"An indoor DSO-based ceiling-vision odometry system for indoor industrial environments","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T22:59:31.067284Z"},"links":{"citing_paper":"/paper/2412.02950"},"observation_digest":"sha256:b2a5e81fe598964fedb809641f6ac4136d5a84cd485edc24e1747ff41c45e499","observation_id":"a2f27bc8-23f3-403e-9d38-f2c1f506cae9","resolution":{"observed_at":"2026-08-11T22:59:32.957438Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T22:59:33.186339Z","title":"Introduction to Autonomous Mobile Robots, 2 ed.; The MIT Press","venue":null,"work_id":"3b6de993-a45a-4900-bfc1-134d30e70d3b","year":null},"citing_paper":{"arxiv_id":"2412.02950","last_updated":"2024-12-04T01:36:54Z","snapshot_observed_at":"2026-08-16T06:07:22.341380Z","submitted_at":"2024-12-04T01:36:54Z","title":"An indoor DSO-based ceiling-vision odometry system for indoor industrial environments","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T22:59:31.074357Z"},"links":{"citing_paper":"/paper/2412.02950"},"observation_digest":"sha256:20ebc57cf1e3b9a6fed05def1f000961e69bc4217deed40686a47f99a45e8768","observation_id":"2e32c9d5-377b-4ea3-a417-66c7067f0d1c","resolution":{"observed_at":"2026-08-11T22:59:33.191990Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T22:59:31.081630Z","title":"Visual Odometry [Tutorial]","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2412.02950","last_updated":"2024-12-04T01:36:54Z","snapshot_observed_at":"2026-08-16T06:07:22.341380Z","submitted_at":"2024-12-04T01:36:54Z","title":"An indoor DSO-based ceiling-vision odometry system for indoor industrial environments","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T22:59:31.081630Z"},"links":{"citing_paper":"/paper/2412.02950"},"observation_digest":"sha256:9f4e3d6bd378c58954adf2bf383ac9cbe5e120a1ad7751ecc7cabb7dd49bd792","observation_id":"acd92d42-c487-4d37-8333-f80a0b168038","resolution":{"observed_at":"2026-08-11T22:59:31.081630Z","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":"10.1109/cvpr.2004","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:59:31.539761Z","title":"Visual Odometry","venue":null,"work_id":"498feaf6-7a5b-400c-9390-e25dcfbb5744","year":2004},"citing_paper":{"arxiv_id":"2412.02950","last_updated":"2024-12-04T01:36:54Z","snapshot_observed_at":"2026-08-16T06:07:22.341380Z","submitted_at":"2024-12-04T01:36:54Z","title":"An indoor DSO-based ceiling-vision odometry system for indoor industrial environments","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T22:59:31.088309Z"},"links":{"citing_paper":"/paper/2412.02950"},"observation_digest":"sha256:8254e3fa5e599fd91d8c87080685d371013ef0fc7566bfb46ca320a4f5b39904","observation_id":"40db3c01-4729-4efb-bfb1-e73a54190767","resolution":{"observed_at":"2026-08-11T22:59:31.544976Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T22:59:33.170516Z","title":"ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras","venue":null,"work_id":"47d1bdf3-fa2c-44e7-a438-1ebb5fb82cd8","year":null},"citing_paper":{"arxiv_id":"2412.02950","last_updated":"2024-12-04T01:36:54Z","snapshot_observed_at":"2026-08-16T06:07:22.341380Z","submitted_at":"2024-12-04T01:36:54Z","title":"An indoor DSO-based ceiling-vision odometry system for indoor industrial environments","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T22:59:31.097604Z"},"links":{"citing_paper":"/paper/2412.02950"},"observation_digest":"sha256:db2a680a2255587122e9e9a5a2c3416942b520fbadfb4730bf9459bda8861b36","observation_id":"adb8973a-0f4a-46a0-b624-5f2c2a7e5670","resolution":{"observed_at":"2026-08-11T22:59:33.175665Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1142/s2301385018500085","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:59:31.522975Z","title":"Swift Path Planning: Vehicle Localization by Visual Odometry Trajectory Tracking and Mapping","venue":null,"work_id":"2669ae72-8787-4261-bc35-37d4e1158238","year":null},"citing_paper":{"arxiv_id":"2412.02950","last_updated":"2024-12-04T01:36:54Z","snapshot_observed_at":"2026-08-16T06:07:22.341380Z","submitted_at":"2024-12-04T01:36:54Z","title":"An indoor DSO-based ceiling-vision odometry system for indoor industrial environments","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T22:59:31.109708Z"},"links":{"citing_paper":"/paper/2412.02950"},"observation_digest":"sha256:bf4e36f0b5e936dc497e1810373e282764013c9f0c30e48939bded0213a60c6e","observation_id":"675db66a-7776-4a10-aa0f-8356be82b683","resolution":{"observed_at":"2026-08-11T22:59:31.528299Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T22:59:31.115574Z","title":"MonoSLAM: Real-Time Single Camera SLAM","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2412.02950","last_updated":"2024-12-04T01:36:54Z","snapshot_observed_at":"2026-08-16T06:07:22.341380Z","submitted_at":"2024-12-04T01:36:54Z","title":"An indoor DSO-based ceiling-vision odometry system for indoor industrial environments","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T22:59:31.115574Z"},"links":{"citing_paper":"/paper/2412.02950"},"observation_digest":"sha256:19af7d483f280421cfd39eea127319fe30b4f24c0ab04845839c71bafd7a6dcf","observation_id":"0523c033-a686-40a2-ae8b-d3a0be6ff440","resolution":{"observed_at":"2026-08-11T22:59:31.115574Z","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":"2018.5272","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:59:32.635035Z","title":"Longitudinal Error Improvement by Visual Odometry Trajectory Trail and Road Segment Matching","venue":null,"work_id":"06698b4b-a03c-4b0d-bac4-9c50d01d4349","year":2018},"citing_paper":{"arxiv_id":"2412.02950","last_updated":"2024-12-04T01:36:54Z","snapshot_observed_at":"2026-08-16T06:07:22.341380Z","submitted_at":"2024-12-04T01:36:54Z","title":"An indoor DSO-based ceiling-vision odometry system for indoor industrial environments","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T22:59:31.120838Z"},"links":{"citing_paper":"/paper/2412.02950"},"observation_digest":"sha256:eaf166802be93df50a37426ae7130e690920d1b1bea45bc0a9faf5940ea0470c","observation_id":"d43bade5-afac-42be-88c8-14d7de1048b0","resolution":{"observed_at":"2026-08-11T22:59:32.643136Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T22:59:31.125847Z","title":"Direct Sparse Odometry","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.02950","last_updated":"2024-12-04T01:36:54Z","snapshot_observed_at":"2026-08-16T06:07:22.341380Z","submitted_at":"2024-12-04T01:36:54Z","title":"An indoor DSO-based ceiling-vision odometry system for indoor industrial environments","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T22:59:31.125847Z"},"links":{"citing_paper":"/paper/2412.02950"},"observation_digest":"sha256:c866461223f5235f063e9e79121ee747afb86e2474f0f974cc9806635decfc68","observation_id":"e3515169-97b4-4f7f-80e1-bd3c7d6d4793","resolution":{"observed_at":"2026-08-11T22:59:31.125847Z","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":"2026-08-11T22:59:31.130924Z","title":"SVO: Fast Semi-Direct Monocular Visual Odometry","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2412.02950","last_updated":"2024-12-04T01:36:54Z","snapshot_observed_at":"2026-08-16T06:07:22.341380Z","submitted_at":"2024-12-04T01:36:54Z","title":"An indoor DSO-based ceiling-vision odometry system for indoor industrial environments","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T22:59:31.130924Z"},"links":{"citing_paper":"/paper/2412.02950"},"observation_digest":"sha256:deb6cd772edc235497ac553869c9978efc570a5c4d0605aea331ed2b1ab9a086","observation_id":"951d5804-776e-4315-8db4-32878c073b2c","resolution":{"observed_at":"2026-08-11T22:59:31.130924Z","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":"2026-08-11T22:59:31.137246Z","title":"StereoScan: Dense 3d Reconstruction in Real-Time","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2412.02950","last_updated":"2024-12-04T01:36:54Z","snapshot_observed_at":"2026-08-16T06:07:22.341380Z","submitted_at":"2024-12-04T01:36:54Z","title":"An indoor DSO-based ceiling-vision odometry system for indoor industrial environments","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T22:59:31.137246Z"},"links":{"citing_paper":"/paper/2412.02950"},"observation_digest":"sha256:accf2381e18fc1d399fff2bc754b80d742b418925eaccee8aae607430241550c","observation_id":"4757339f-ce8e-4e7c-8f9c-8fdbd911f53e","resolution":{"observed_at":"2026-08-11T22:59:31.137246Z","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":"2026-08-11T22:59:31.142059Z","title":"LSD-SLAM: Large-Scale Direct Monocular SLAM","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2412.02950","last_updated":"2024-12-04T01:36:54Z","snapshot_observed_at":"2026-08-16T06:07:22.341380Z","submitted_at":"2024-12-04T01:36:54Z","title":"An indoor DSO-based ceiling-vision odometry system for indoor industrial environments","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T22:59:31.142059Z"},"links":{"citing_paper":"/paper/2412.02950"},"observation_digest":"sha256:46133a857239c21c1897b35a479745e151e2777a527ce908e265e59a9041e3c2","observation_id":"180d0115-8bc7-49ee-8d9e-056a373564a9","resolution":{"observed_at":"2026-08-11T22:59:31.142059Z","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":"10.3390/app10041467","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:59:31.493398Z","title":"Dynamic-DSO: Direct Sparse Odometry Using Objects Semantic Information for Dynamic Environments","venue":null,"work_id":"dfd486be-c748-4937-b331-051226064aac","year":null},"citing_paper":{"arxiv_id":"2412.02950","last_updated":"2024-12-04T01:36:54Z","snapshot_observed_at":"2026-08-16T06:07:22.341380Z","submitted_at":"2024-12-04T01:36:54Z","title":"An indoor DSO-based ceiling-vision odometry system for indoor industrial environments","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T22:59:31.147101Z"},"links":{"citing_paper":"/paper/2412.02950"},"observation_digest":"sha256:9bf249c24a51856ba604674fa7bb094cfca88bdd4da3144c4b8aff8d6fefc8fd","observation_id":"93154ee0-83b0-437f-b8de-afd1a7d48195","resolution":{"observed_at":"2026-08-11T22:59:31.498682Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T22:59:33.154650Z","title":"Effective Background Model-Based RGB-D Dense Visual Odometry in a Dynamic Environment","venue":null,"work_id":"42fc704b-d9d8-401c-a6cc-db3519d12716","year":null},"citing_paper":{"arxiv_id":"2412.02950","last_updated":"2024-12-04T01:36:54Z","snapshot_observed_at":"2026-08-16T06:07:22.341380Z","submitted_at":"2024-12-04T01:36:54Z","title":"An indoor DSO-based ceiling-vision odometry system for indoor industrial environments","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T22:59:31.152729Z"},"links":{"citing_paper":"/paper/2412.02950"},"observation_digest":"sha256:e9a770267c49c89b66802ab4d36f02c249c78d56fea06eaa49dc8037e647334c","observation_id":"f3d78c05-7284-4c3b-85d3-746c98958aec","resolution":{"observed_at":"2026-08-11T22:59:33.159664Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T22:59:31.163688Z","title":"CV-SLAM: A New Ceiling Vision-Based SLAM Technique","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2412.02950","last_updated":"2024-12-04T01:36:54Z","snapshot_observed_at":"2026-08-16T06:07:22.341380Z","submitted_at":"2024-12-04T01:36:54Z","title":"An indoor DSO-based ceiling-vision odometry system for indoor industrial environments","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T22:59:31.163688Z"},"links":{"citing_paper":"/paper/2412.02950"},"observation_digest":"sha256:a155c6ac6b32949105fece6182937e2496ea31d1fa2ab6a5e8822d995ae51ad9","observation_id":"19f309ed-73cf-49ca-9022-e39eb27ea6bb","resolution":{"observed_at":"2026-08-11T22:59:31.163688Z","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":"1864.2013","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:59:32.160089Z","title":"A New cvSLAM Exploiting a Partially Known Landmark Association","venue":null,"work_id":"82c8d5a8-3841-4aa5-bcde-4e26963581fd","year":2013},"citing_paper":{"arxiv_id":"2412.02950","last_updated":"2024-12-04T01:36:54Z","snapshot_observed_at":"2026-08-16T06:07:22.341380Z","submitted_at":"2024-12-04T01:36:54Z","title":"An indoor DSO-based ceiling-vision odometry system for indoor industrial environments","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T22:59:31.168994Z"},"links":{"citing_paper":"/paper/2412.02950"},"observation_digest":"sha256:ef2a952a6cf5dbd73eccef9a06c527afb5bbf107fbd2da6e36991161475a2fe7","observation_id":"81215934-90f0-4133-bd08-5537d813588d","resolution":{"observed_at":"2026-08-11T22:59:32.170525Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2011.21093","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:59:32.072172Z","title":"Monocular Vision-Based SLAM in Indoor Environment Using Corner, Lamp, and Door Features From Upward-Looking Camera","venue":null,"work_id":"5fa82536-3289-48f3-b193-d68c7022ded6","year":2011},"citing_paper":{"arxiv_id":"2412.02950","last_updated":"2024-12-04T01:36:54Z","snapshot_observed_at":"2026-08-16T06:07:22.341380Z","submitted_at":"2024-12-04T01:36:54Z","title":"An indoor DSO-based ceiling-vision odometry system for indoor industrial environments","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T22:59:31.173879Z"},"links":{"citing_paper":"/paper/2412.02950"},"observation_digest":"sha256:a342a85386007b27abab0c19c179e4249cb2d5c42e580abf44ea6a9a5948bbf8","observation_id":"ab0fbebb-6210-4ec0-b35e-9e9e150f80a7","resolution":{"observed_at":"2026-08-11T22:59:32.080126Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1163/156855311x617542","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:59:31.476867Z","title":"Efficient Simultaneous Localization and Mapping Based on Ceiling-View: Ceiling Boundary Feature Map Approach","venue":null,"work_id":"27d680dc-0703-4b7f-9e0e-d59498577938","year":null},"citing_paper":{"arxiv_id":"2412.02950","last_updated":"2024-12-04T01:36:54Z","snapshot_observed_at":"2026-08-16T06:07:22.341380Z","submitted_at":"2024-12-04T01:36:54Z","title":"An indoor DSO-based ceiling-vision odometry system for indoor industrial environments","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T22:59:31.179267Z"},"links":{"citing_paper":"/paper/2412.02950"},"observation_digest":"sha256:40f5d5efd79c3b90e37e544f3c5cb1803c7e4518a57ced5ca34cecf822d5e330","observation_id":"572a2db9-1dec-47e2-8c8c-9af77dfd0cd1","resolution":{"observed_at":"2026-08-11T22:59:31.482026Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.5772/57225","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:59:31.460405Z","title":"An Efficient Ceiling-view SLAM Using Relational Constraints Between Landmarks:","venue":null,"work_id":"7dd091df-1ecc-4acf-bf40-9d94216355b1","year":null},"citing_paper":{"arxiv_id":"2412.02950","last_updated":"2024-12-04T01:36:54Z","snapshot_observed_at":"2026-08-16T06:07:22.341380Z","submitted_at":"2024-12-04T01:36:54Z","title":"An indoor DSO-based ceiling-vision odometry system for indoor industrial environments","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T22:59:31.185405Z"},"links":{"citing_paper":"/paper/2412.02950"},"observation_digest":"sha256:38bcf04cd4c366bbd5b414fc406a0e5055e10815c3ac945ce0470508c37101da","observation_id":"ddc5a2db-f49d-4964-872c-d985390d04a4","resolution":{"observed_at":"2026-08-11T22:59:31.465616Z","resolver_source":"doi_truncated","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T22:59:31.190964Z","title":"Vision-Based Global Localization Using Ceiling Space Density","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.02950","last_updated":"2024-12-04T01:36:54Z","snapshot_observed_at":"2026-08-16T06:07:22.341380Z","submitted_at":"2024-12-04T01:36:54Z","title":"An indoor DSO-based ceiling-vision odometry system for indoor industrial environments","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T22:59:31.190964Z"},"links":{"citing_paper":"/paper/2412.02950"},"observation_digest":"sha256:ff460e360d523aa2a59d3f29190d7767dd160e57b8c8bf9b50adedc454bcae32","observation_id":"ab306792-201a-49b6-8374-c3e52eb647a1","resolution":{"observed_at":"2026-08-11T22:59:31.190964Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1177/1729881418769191","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:59:31.442870Z","title":"An Improved Graph-Based Visual Localization System for Indoor Mobile Robot Using Newly Designed Markers","venue":null,"work_id":"ee97f985-9561-4345-94d6-7bdd0d97b7e6","year":null},"citing_paper":{"arxiv_id":"2412.02950","last_updated":"2024-12-04T01:36:54Z","snapshot_observed_at":"2026-08-16T06:07:22.341380Z","submitted_at":"2024-12-04T01:36:54Z","title":"An indoor DSO-based ceiling-vision odometry system for indoor industrial environments","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T22:59:31.196135Z"},"links":{"citing_paper":"/paper/2412.02950"},"observation_digest":"sha256:27ee6480114847bcc8dbd8cfc31984f615ca41feb6fe3fc7e7d30e269a411c32","observation_id":"d5251eee-2640-4e6f-b6f0-108d6fe01e89","resolution":{"observed_at":"2026-08-11T22:59:31.448344Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/978-3-030-01237-3_42","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:03:20.376878Z","title":"Direct Sparse Odometry with Rolling Shutter","venue":"Lecture notes in computer science","work_id":"6f8d8640-f592-4f2c-9d40-214db016ea8e","year":2018},"citing_paper":{"arxiv_id":"2412.02950","last_updated":"2024-12-04T01:36:54Z","snapshot_observed_at":"2026-08-16T06:07:22.341380Z","submitted_at":"2024-12-04T01:36:54Z","title":"An indoor DSO-based ceiling-vision odometry system for indoor industrial environments","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T22:59:31.201856Z"},"links":{"citing_paper":"/paper/2412.02950"},"observation_digest":"sha256:c7b2f8d68571ba8f61deb96fc069d1e151a1654e93b3e46ce2528820976f8b1d","observation_id":"467d1cf2-05cf-42d8-8a0c-727e6a1a95ac","resolution":{"observed_at":"2026-08-11T22:59:31.431608Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1607.02555","last_updated":"2016-10-08T20:06:10Z","snapshot_observed_at":"2026-08-14T21:49:09.158984Z","submitted_at":"2016-07-09T00:11:14Z","title":"A Photometrically Calibrated Benchmark For Monocular Visual Odometry","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1607.02555","snapshot_observed_at":"2026-08-11T22:59:31.207705Z","title":"A Photometrically Calibrated Benchmark For Monocular Visual Odometry, [1607.02555]","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.02950","last_updated":"2024-12-04T01:36:54Z","snapshot_observed_at":"2026-08-16T06:07:22.341380Z","submitted_at":"2024-12-04T01:36:54Z","title":"An indoor DSO-based ceiling-vision odometry system for indoor industrial environments","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T22:59:31.207705Z"},"links":{"cited_paper":"/paper/1607.02555","citing_paper":"/paper/2412.02950"},"observation_digest":"sha256:e26c7a9920a1243fb54c1a548555ac4f3e4fecaa806a5f98b500ed1021ca2b49","observation_id":"fcfa605b-d9af-4edc-8130-8f96d1d587b2","resolution":{"observed_at":"2026-08-11T22:59:31.207705Z","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":"2026-08-11T22:59:31.214281Z","title":"Robust Estimation of a Location Parameter","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.02950","last_updated":"2024-12-04T01:36:54Z","snapshot_observed_at":"2026-08-16T06:07:22.341380Z","submitted_at":"2024-12-04T01:36:54Z","title":"An indoor DSO-based ceiling-vision odometry system for indoor industrial environments","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T22:59:31.214281Z"},"links":{"citing_paper":"/paper/2412.02950"},"observation_digest":"sha256:24bf7b077458505813b9e6a05c1f7eff93ed70897c22db0e6d7b23c7695be7d4","observation_id":"b750161b-4576-482d-80ca-c8a6016251b3","resolution":{"observed_at":"2026-08-11T22:59:31.214281Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1812.01537","last_updated":"2021-12-08T17:01:20Z","snapshot_observed_at":"2026-08-14T17:48:39.552547Z","submitted_at":"2018-12-04T17:11:47Z","title":"A micro Lie theory for state estimation in robotics","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1812.01537","snapshot_observed_at":"2026-08-11T22:59:31.219685Z","title":"A Micro Lie Theory for State Estimation in Robotics, [1812.01537]","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.02950","last_updated":"2024-12-04T01:36:54Z","snapshot_observed_at":"2026-08-16T06:07:22.341380Z","submitted_at":"2024-12-04T01:36:54Z","title":"An indoor DSO-based ceiling-vision odometry system for indoor industrial environments","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T22:59:31.219685Z"},"links":{"cited_paper":"/paper/1812.01537","citing_paper":"/paper/2412.02950"},"observation_digest":"sha256:af671897fad0a13b9dba5dc8fea1767a3c49cf741c34e6ddcf93fcd0bb75a289","observation_id":"da0fd333-d9a0-448c-a1cd-3a862c77df45","resolution":{"observed_at":"2026-08-11T22:59:31.219685Z","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":"1546.2020","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:59:31.796075Z","title":"SmartTrolley: An Experimental Mobile Platform for Indoor Localization in Warehouses","venue":null,"work_id":"094402ce-384c-410c-9e3c-0fba59779c7e","year":2020},"citing_paper":{"arxiv_id":"2412.02950","last_updated":"2024-12-04T01:36:54Z","snapshot_observed_at":"2026-08-16T06:07:22.341380Z","submitted_at":"2024-12-04T01:36:54Z","title":"An indoor DSO-based ceiling-vision odometry system for indoor industrial environments","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T22:59:31.225464Z"},"links":{"citing_paper":"/paper/2412.02950"},"observation_digest":"sha256:3da74e27f3ea9a50c1efe1e6b63a875ce1a7b8cac421d7b74be150aa2c1c8c45","observation_id":"f64d50ff-256d-4293-84f4-61200a966e14","resolution":{"observed_at":"2026-08-11T22:59:31.807675Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T22:59:31.230793Z","title":"Fast Grid SLAM Based on Particle Filter with Scan Matching and Multithreading","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.02950","last_updated":"2024-12-04T01:36:54Z","snapshot_observed_at":"2026-08-16T06:07:22.341380Z","submitted_at":"2024-12-04T01:36:54Z","title":"An indoor DSO-based ceiling-vision odometry system for indoor industrial environments","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T22:59:31.230793Z"},"links":{"citing_paper":"/paper/2412.02950"},"observation_digest":"sha256:909384722b4ea6b11ccbdcf9e75f9af86fa6d71be8f4cdf798274baecc37e8c4","observation_id":"100acd68-95e2-4820-8433-fccbd5e502f6","resolution":{"observed_at":"2026-08-11T22:59:31.230793Z","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":"2026-08-11T22:59:31.236143Z","title":"A Tutorial on Quantitative Trajectory Evaluation for Visual(-Inertial) Odometry","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.02950","last_updated":"2024-12-04T01:36:54Z","snapshot_observed_at":"2026-08-16T06:07:22.341380Z","submitted_at":"2024-12-04T01:36:54Z","title":"An indoor DSO-based ceiling-vision odometry system for indoor industrial environments","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T22:59:31.236143Z"},"links":{"citing_paper":"/paper/2412.02950"},"observation_digest":"sha256:e7cabc56ec2e7aa104e33ab19793c36bc550c4c4ad390af5325c8c0c410655b1","observation_id":"220df721-5308-4ba7-8552-1522cc586751","resolution":{"observed_at":"2026-08-11T22:59:31.236143Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-11T22:59:31.103548Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.02950","last_updated":"2024-12-04T01:36:54Z","snapshot_observed_at":"2026-08-16T06:07:22.341380Z","submitted_at":"2024-12-04T01:36:54Z","title":"An indoor DSO-based ceiling-vision odometry system for indoor industrial environments","version":1},"reference_index":1262,"source":"pdf_text","source_observed_at":"2026-08-11T22:59:31.103548Z"},"links":{"citing_paper":"/paper/2412.02950"},"observation_digest":"sha256:4b30ca4d3083538dcb267291856a10c58b1471a18019961936e23ca3becd231e","observation_id":"a387925b-1996-45a0-aac3-30a0b6b7f136","resolution":{"observed_at":"2026-08-11T22:59:31.103548Z","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":"2016.26093","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:59:32.331035Z","title":null,"venue":null,"work_id":"7d01f2b7-8311-404c-badc-e748777eff44","year":2016},"citing_paper":{"arxiv_id":"2412.02950","last_updated":"2024-12-04T01:36:54Z","snapshot_observed_at":"2026-08-16T06:07:22.341380Z","submitted_at":"2024-12-04T01:36:54Z","title":"An indoor DSO-based ceiling-vision odometry system for indoor industrial environments","version":1},"reference_index":1573,"source":"pdf_text","source_observed_at":"2026-08-11T22:59:31.158341Z"},"links":{"citing_paper":"/paper/2412.02950"},"observation_digest":"sha256:e286d82677306087840b8c70e8b72f903711815a59f19e59dbf183468a693850","observation_id":"b4e26fd6-76ba-4146-8ec5-f426dcafde91","resolution":{"observed_at":"2026-08-11T22:59:32.338833Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.02950","last_updated":"2024-12-04T01:36:54Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-16T06:07:22.341380Z","submitted_at":"2024-12-04T01:36:54Z","title":"An indoor DSO-based ceiling-vision odometry system for indoor industrial environments"},"reference_resolution":{"displayed":33,"state_counts":{"malformed_identifier":3,"metadata_mismatch":3,"parse_uncertain":0,"unresolved":12,"verified_exact":12,"verified_fuzzy":3},"total_outbound_references":33},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2412.02950."}