{"as_of":"2026-08-15T05:24:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4ad0c7cd4626395b009259285c4e37b5c08bfe3ced63e69cc9603c735d4454f1","coverage":[{"denominator":42,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":42,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-08T05:03:12.500674Z","state":"measured"},{"denominator":42,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":42,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+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/2607.06464/citation-record","integrity":"/paper/2607.06464/integrity","json":"/paper/2607.06464/citation-record.json","paper":"/paper/2607.06464"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T05:04:31.405272Z","title":"Global Status Report for Buildings and Construction 2025–2026,","venue":null,"work_id":"35fdc968-a538-4a74-891f-720a72c0461a","year":2025},"citing_paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-08T05:03:12.500674Z"},"links":{"citing_paper":"/paper/2607.06464"},"observation_digest":"sha256:b7939050deea2f28fd83e383797e02d2c001aed0657049a1e81ae41728819822","observation_id":"2b105887-2e82-44d7-9662-a6209358323b","resolution":{"observed_at":"2026-07-08T05:04:31.406491Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-08T05:04:31.409664Z","title":"Construction robotics and automation - technical committee spotlight,","venue":null,"work_id":"d26fe8be-9e1c-4425-83cb-5d0ade12abed","year":2024},"citing_paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-08T05:03:12.500674Z"},"links":{"citing_paper":"/paper/2607.06464"},"observation_digest":"sha256:ad379d655fa4931c817dcd3dfbe1f965b393fbab6a997c3689cc9bd79e950091","observation_id":"b46d373d-44a8-4eb4-bcfc-a434a6d005af","resolution":{"observed_at":"2026-07-08T05:04:31.410873Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-08T05:04:31.420098Z","title":"Automated recognition of 3D CAD objects in site laser scans for project 3D status visualization and performance control,","venue":null,"work_id":"02df56af-57cf-4d3b-ba5b-9401f4ea317c","year":2009},"citing_paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-08T05:03:12.500674Z"},"links":{"citing_paper":"/paper/2607.06464"},"observation_digest":"sha256:935e24fe0ee3ce176daf17fd3eb4cbe27eb6eb3643d122a3446da2cb7794b971","observation_id":"6caa40fc-4cdb-4147-a063-807dba070609","resolution":{"observed_at":"2026-07-08T05:04:31.421629Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-08T05:04:31.388467Z","title":"Automated progress tracking using 4D schedule and 3D sensing technolo- gies,","venue":null,"work_id":"2b9f14cc-2710-421d-ba4a-98c2e0feadcf","year":2012},"citing_paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-08T05:03:12.500674Z"},"links":{"citing_paper":"/paper/2607.06464"},"observation_digest":"sha256:1feaf4b63a5b8b190514e1e4b65cacd33fe4f178cb89f5fae16aae27f71ac634","observation_id":"164588f5-d246-4762-bfc6-e71ffa0b1762","resolution":{"observed_at":"2026-07-08T05:04:31.389659Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-08T05:04:31.407462Z","title":"A methodology for BIM-enabled automated reality capture in construction inspection with quadruped robots","venue":null,"work_id":"6a92dd8a-c2e2-47c3-b0f5-133693a4c6b0","year":2021},"citing_paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-08T05:03:12.500674Z"},"links":{"citing_paper":"/paper/2607.06464"},"observation_digest":"sha256:15486bff206e27082a110f2ce90f3dab890358f8696b4b8a70d09224c0731775","observation_id":"f3b70914-2ae0-41d8-8e1f-58b6becd5d7f","resolution":{"observed_at":"2026-07-08T05:04:31.408815Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-08T05:04:31.359103Z","title":"Conceptual design of advanced construction progress mon- itoring with terrestrial and robotic laser scanning systems,","venue":null,"work_id":"32b05a74-d95c-46f1-858c-7b9f5ea165f9","year":2023},"citing_paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-08T05:03:12.500674Z"},"links":{"citing_paper":"/paper/2607.06464"},"observation_digest":"sha256:84b237e4d43a83e08cf8c2d6135790da621c6892ef6c8487972c4528bf614dd4","observation_id":"463bd360-ccc5-4d41-ac92-4fa0486c2729","resolution":{"observed_at":"2026-07-08T05:04:31.360610Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-08T05:04:31.397195Z","title":"The value of integrating scan-to-BIM and scan-vs-BIM tech- niques for construction monitoring using laser scanning and BIM: The case of cylindrical MEP components,","venue":null,"work_id":"ea548a50-5244-45cc-a647-4c6304e05796","year":2015},"citing_paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-08T05:03:12.500674Z"},"links":{"citing_paper":"/paper/2607.06464"},"observation_digest":"sha256:f63969844ede9d3730767cad7a8a63c3791472d4c3f1cc6c4495ed478cbba8ee","observation_id":"11304a68-7925-439d-a474-86f98c19f483","resolution":{"observed_at":"2026-07-08T05:04:31.398581Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-08T05:04:31.411161Z","title":"(n.d.) Understanding the Golden Thread","venue":null,"work_id":"86b75856-0a34-40a4-9f4f-08973459b60f","year":2026},"citing_paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-08T05:03:12.500674Z"},"links":{"citing_paper":"/paper/2607.06464"},"observation_digest":"sha256:92b08da34b582e74a1bae02fbbb67f555afa3909f4908de26b1c08a17fe484fb","observation_id":"279d0b13-bd88-4cc5-8ce2-939d28739a11","resolution":{"observed_at":"2026-07-08T05:04:31.412210Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-08T05:04:31.392500Z","title":"Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age,","venue":null,"work_id":"f04131ac-8572-498c-bd6c-8e1db849a8e9","year":2016},"citing_paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-08T05:03:12.500674Z"},"links":{"citing_paper":"/paper/2607.06464"},"observation_digest":"sha256:c05512a573225428d900fc96d83ef4ffc65793da8d34d888511038b98e75f466","observation_id":"5ee14277-4216-4fb6-8d22-7086a50a21ee","resolution":{"observed_at":"2026-07-08T05:04:31.393760Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-08T05:04:31.363703Z","title":"Slabim: A SLAM-BIM coupled dataset in HKUST main building,","venue":null,"work_id":"38f51496-a0d4-4ebc-ae6b-28290b19d00b","year":2025},"citing_paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-08T05:03:12.500674Z"},"links":{"citing_paper":"/paper/2607.06464"},"observation_digest":"sha256:34fd14f1c8b4e7f19a4e0587ddb0e1ea8a203dcd4056cd8e677ad45733e403d1","observation_id":"bae698ab-3219-4985-8d74-b527ba60cbf1","resolution":{"observed_at":"2026-07-08T05:04:31.364948Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-08T05:04:31.399454Z","title":"Vision meets robotics: The KITTI dataset,","venue":null,"work_id":"3483468c-75e1-4dd1-a297-f8aaf79f4db3","year":2013},"citing_paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-08T05:03:12.500674Z"},"links":{"citing_paper":"/paper/2607.06464"},"observation_digest":"sha256:822a6dabcb3a8a7e3fdb60d7a6fcf0a16cb35488eecac8b7f65a20a4b0a9d06b","observation_id":"4ed1ee9a-68b9-4d82-94fc-0a5f54010902","resolution":{"observed_at":"2026-07-08T05:04:31.401127Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-08T05:04:31.390039Z","title":"The EuRoC micro aerial vehicle datasets,","venue":null,"work_id":"3b89c3ec-163c-4ea2-ac73-bda7fcad1789","year":2016},"citing_paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-08T05:03:12.500674Z"},"links":{"citing_paper":"/paper/2607.06464"},"observation_digest":"sha256:f0a178578c86d760ab4f4c886c32fb9b520ce1d9e8a3d7813ea9cfc420d4db83","observation_id":"7f511cf0-c69c-4542-9703-4d9b15115dd1","resolution":{"observed_at":"2026-07-08T05:04:31.391236Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-08T05:04:31.386656Z","title":"FusionPortableV2: A unified multi-sensor dataset for generalized SLAM across diverse platforms & scalable environments,","venue":null,"work_id":"779a6f66-5c77-410f-8df1-235f0a66432b","year":2024},"citing_paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-08T05:03:12.500674Z"},"links":{"citing_paper":"/paper/2607.06464"},"observation_digest":"sha256:c923bb61af437555de2427ff0e07bbbb934f9bd0828b1f51d17dc4fa361bacd3","observation_id":"b8b419aa-890a-4fa1-ae80-e786583520b8","resolution":{"observed_at":"2026-07-08T05:04:31.387935Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-08T05:04:31.386391Z","title":"The TUM VI benchmark for evaluating visual- inertial odometry,","venue":null,"work_id":"4419bfbd-52b1-4c80-9146-51d0130f8b69","year":2018},"citing_paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-08T05:03:12.500674Z"},"links":{"citing_paper":"/paper/2607.06464"},"observation_digest":"sha256:6e1983f141884b867ab1a806f8d06f03214780629488fed64ac36bba57a6848a","observation_id":"718b94ae-b862-48a3-baa9-3d37eca830a9","resolution":{"observed_at":"2026-07-08T05:04:31.387527Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-08T05:04:31.423986Z","title":null,"venue":null,"work_id":"e3c0d08c-7691-4bcf-92f8-929c3e1c297b","year":2041},"citing_paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-08T05:03:12.500674Z"},"links":{"citing_paper":"/paper/2607.06464"},"observation_digest":"sha256:c883d41e7d2d4057d752f86ef8beaf8cf033215d975ddcbe0e9e25358ac708b8","observation_id":"5bc4f988-6f03-47cb-8d4f-353b18a2bfef","resolution":{"observed_at":"2026-07-08T05:04:31.425215Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-08T05:04:31.403830Z","title":"Benchmarking egocentric visual-inertial SLAM at city scale,","venue":null,"work_id":"57fe5f33-2624-4919-ac83-bbb729a1f7e7","year":2025},"citing_paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-08T05:03:12.500674Z"},"links":{"citing_paper":"/paper/2607.06464"},"observation_digest":"sha256:1035b15848949ea51875111f9bad598fd03a4d334a4f86f4a0faff3d4d9c5298","observation_id":"05d9138a-0430-4e2e-b130-5a987f00aea9","resolution":{"observed_at":"2026-07-08T05:04:31.405088Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-08T05:04:31.418417Z","title":"A benchmark for the evaluation of RGB-D SLAM systems,","venue":null,"work_id":"7b28080e-769c-489f-9f53-52d73cbe4a99","year":2012},"citing_paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-08T05:03:12.500674Z"},"links":{"citing_paper":"/paper/2607.06464"},"observation_digest":"sha256:4c1bdc5e3e5c6a6b6078f0f9839fdfa8d5707cd0923ba9d468bdb4b14dcd4618","observation_id":"8b11f7b9-4716-4fa6-9946-b368d4d999d8","resolution":{"observed_at":"2026-07-08T05:04:31.419544Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-08T05:04:31.393473Z","title":"Hilti-Oxford dataset: A millimeter-accurate benchmark for simultaneous localization and mapping,","venue":null,"work_id":"26a6f08a-5ee3-4c03-a555-284e9d4b97bd","year":2022},"citing_paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-08T05:03:12.500674Z"},"links":{"citing_paper":"/paper/2607.06464"},"observation_digest":"sha256:d884442bff0dca35d9512a9be03565683fa2183f0f2be2ac95fb83e4cceb7203","observation_id":"9bdd8896-2b87-46b6-814a-73b2a8efc238","resolution":{"observed_at":"2026-07-08T05:04:31.394669Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-08T05:04:31.418713Z","title":"Matterport3D: Learning from RGB-D data in indoor environments,","venue":null,"work_id":"7ccb46f4-388d-44a5-9964-73be59246258","year":2017},"citing_paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-08T05:03:12.500674Z"},"links":{"citing_paper":"/paper/2607.06464"},"observation_digest":"sha256:af9a83678f18cba8d121efb50c9a0738736945b82d5fcd44dbe8b3e9f20006db","observation_id":"2cd6b0f1-3ff1-4add-a7e1-1e67b768c8f2","resolution":{"observed_at":"2026-07-08T05:04:31.419917Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-08T05:04:31.423780Z","title":"ScanNet: Richly-annotated 3D reconstructions of indoor scenes,","venue":null,"work_id":"fd044d59-07e5-4571-b50c-6cdab5932ce9","year":2017},"citing_paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-08T05:03:12.500674Z"},"links":{"citing_paper":"/paper/2607.06464"},"observation_digest":"sha256:ca340242846e906a970b7413f1996a1c99cd43480ed74c59a2ce4d2b0a5b2991","observation_id":"5c18f75f-540a-469e-9f00-3bbc1cbda78a","resolution":{"observed_at":"2026-07-08T05:04:31.425066Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-08T05:04:31.425566Z","title":"A multi-view stereo benchmark with high- resolution images and multi-camera videos,","venue":null,"work_id":"c61db895-3a6c-40f5-821d-bdf313e0f742","year":2017},"citing_paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-08T05:03:12.500674Z"},"links":{"citing_paper":"/paper/2607.06464"},"observation_digest":"sha256:9c4210d0a337f2f0ed6a96a833fbbf902f9f0d4965527dba250c4fbfb37f959b","observation_id":"1fa44b6d-7243-4e96-8cd8-36b6b2ac1497","resolution":{"observed_at":"2026-07-08T05:04:31.426821Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-08T05:04:31.409298Z","title":"Scan- Net++: A high-fidelity dataset of 3D indoor scenes,","venue":null,"work_id":"ff3848b1-9c65-4c14-9663-f4b50949c9c4","year":2023},"citing_paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-08T05:03:12.500674Z"},"links":{"citing_paper":"/paper/2607.06464"},"observation_digest":"sha256:66c4493a10532559cc5529ad0883aef99848a7509e0e501394baaa1c114d4f0f","observation_id":"5b8289f2-ecdd-4834-aee9-e2d6ce989887","resolution":{"observed_at":"2026-07-08T05:04:31.410668Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-08T05:04:31.427340Z","title":"The Oxford Spires dataset: Benchmark- ing large-scale LiDAR-visual localisation, reconstruction and radiance field methods,","venue":null,"work_id":"57ca6069-1353-41bd-a747-85873f85db9a","year":2025},"citing_paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-08T05:03:12.500674Z"},"links":{"citing_paper":"/paper/2607.06464"},"observation_digest":"sha256:1d9015b71ae142659afe604ba8fb325a710e3e03cdac02897633bd25d370daff","observation_id":"4186f5de-a27d-43f8-be1e-08c8a844d8a8","resolution":{"observed_at":"2026-07-08T05:04:31.428564Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-08T05:04:31.420415Z","title":"Scene coordinate regression forests for camera relocalization in RGB-D images,","venue":null,"work_id":"437c9fbd-df49-476b-b88f-56c7165bc9a6","year":2013},"citing_paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-08T05:03:12.500674Z"},"links":{"citing_paper":"/paper/2607.06464"},"observation_digest":"sha256:246d5c98ecef0af00d7dd5711ec1eb76e747371daf67ff18be0127487088ad6c","observation_id":"29af468b-8313-479f-93e1-486b5f3e8794","resolution":{"observed_at":"2026-07-08T05:04:31.421771Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-08T05:04:31.374771Z","title":"InLoc: Indoor visual localization with dense matching and view synthesis,","venue":null,"work_id":"e4cbb0ec-fbeb-457d-bf18-09aa51f94715","year":2018},"citing_paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-08T05:03:12.500674Z"},"links":{"citing_paper":"/paper/2607.06464"},"observation_digest":"sha256:074aa32215e142934b8d6c3f13b1d416a340d6f98f577fe2a5aad3fb59bc6825","observation_id":"5d88297a-b0ce-46a6-8f81-cf8ba2b72de8","resolution":{"observed_at":"2026-07-08T05:04:31.376276Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-08T05:04:31.384984Z","title":"Benchmarking 6DOF outdoor visual local- ization in changing conditions,","venue":null,"work_id":"60961784-c012-4c9c-a5b2-8902fc21eea0","year":2018},"citing_paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-08T05:03:12.500674Z"},"links":{"citing_paper":"/paper/2607.06464"},"observation_digest":"sha256:76ee12aae17b0b7e375a972cd7797ed2261148bdc1ab54ec1ab26a47d9301caf","observation_id":"123e1458-6f7a-4ee3-9cde-b47b1c7092b2","resolution":{"observed_at":"2026-07-08T05:04:31.386143Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-08T05:04:31.422130Z","title":"ConSLAM: Construction data set for SLAM,","venue":null,"work_id":"467fb7ec-d6a9-46a2-88c5-b7796df62467","year":2023},"citing_paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-08T05:03:12.500674Z"},"links":{"citing_paper":"/paper/2607.06464"},"observation_digest":"sha256:705d9cf3db37a8df2f6a3057ad5b7e6aa86b88ea6f0a504ce28107101c48a2ef","observation_id":"2535284c-f182-434b-8d4b-3c34586c6155","resolution":{"observed_at":"2026-07-08T05:04:31.423245Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-08T05:04:31.388131Z","title":"The Hilti SLAM challenge dataset,","venue":null,"work_id":"74ed618b-e3f8-4d2d-a0d1-4a541dc27611","year":2022},"citing_paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-08T05:03:12.500674Z"},"links":{"citing_paper":"/paper/2607.06464"},"observation_digest":"sha256:2f11c581cfe46f20831fcbd7dba2888dae6ea03677bc9990ec3c9045f9dd12c2","observation_id":"58cc923d-1c15-4812-a327-6e0798f073ad","resolution":{"observed_at":"2026-07-08T05:04:31.389305Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-08T05:04:31.415294Z","title":"Hilti SLAM Challenge 2023: Benchmarking single + multi-session SLAM across sensor constellations in construction,","venue":null,"work_id":"4f087436-82f7-4e2a-8e66-845f2d32ea91","year":2023},"citing_paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-08T05:03:12.500674Z"},"links":{"citing_paper":"/paper/2607.06464"},"observation_digest":"sha256:6dce440447c1ce0cc3e2b69a37aa880c6d61619265104a540a0f69653d4a2f38","observation_id":"f5da8386-f04f-466a-9072-5945cc32c65f","resolution":{"observed_at":"2026-07-08T05:04:31.416563Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-08T05:04:31.407844Z","title":"Extending kalibr: Calibrating the extrinsics of multiple IMUs and of individual axes,","venue":null,"work_id":"566042b7-15bb-4e73-b934-35320f7f13eb","year":2016},"citing_paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-08T05:03:12.500674Z"},"links":{"citing_paper":"/paper/2607.06464"},"observation_digest":"sha256:188273add256792635b1dae22328075057af057c6d21331fa2f276e9d7f9361c","observation_id":"ea3a9cb3-11c5-4b2b-a8e3-042136b8a009","resolution":{"observed_at":"2026-07-08T05:04:31.409145Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-08T05:04:31.383308Z","title":"An enhanced unified camera model,","venue":null,"work_id":"8f8d8704-0905-457e-8bc2-e94be79b15a2","year":2015},"citing_paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-07-08T05:03:12.500674Z"},"links":{"citing_paper":"/paper/2607.06464"},"observation_digest":"sha256:6cf534e470d4b7680480607218445e6566e0476925e48861db8e02a5ab89179b","observation_id":"05b2f636-396e-4478-a43a-0e41ede53a48","resolution":{"observed_at":"2026-07-08T05:04:31.384486Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-08T05:04:31.412892Z","title":"A generic camera model and calibration method for conventional, wide-angle, and fish-eye lenses,","venue":null,"work_id":"61a2c981-74b8-417d-833a-31dffe11e86a","year":2006},"citing_paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-08T05:03:12.500674Z"},"links":{"citing_paper":"/paper/2607.06464"},"observation_digest":"sha256:957c731b024cafe411bdedd987325978f3f706e294bbccf6376ab33a0d189532","observation_id":"b957b1b0-4303-4377-ad02-af425e92f534","resolution":{"observed_at":"2026-07-08T05:04:31.414258Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-08T05:04:31.416737Z","title":"MC2SLAM: Real-time inertial lidar odometry using two-scan motion com- pensation,","venue":null,"work_id":"7db97253-4105-4177-a08b-f4aee2d7cb3b","year":2019},"citing_paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-07-08T05:03:12.500674Z"},"links":{"citing_paper":"/paper/2607.06464"},"observation_digest":"sha256:bf94b8de2515465fdcce823b0fcb93f053f4084aca6bcd4f81f1809bef017e76","observation_id":"9b595268-2ca7-4919-9c2a-771e65a06ddb","resolution":{"observed_at":"2026-07-08T05:04:31.417916Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-08T05:04:31.384786Z","title":"Method for registration of 3- d shapes,","venue":null,"work_id":"049fa5f6-0597-4f6e-a896-adc4b5356396","year":1992},"citing_paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-07-08T05:03:12.500674Z"},"links":{"citing_paper":"/paper/2607.06464"},"observation_digest":"sha256:695662108aa243b2f4f48f9585c5b110172d42238195b4dd5174772c1cca922c","observation_id":"e801ffad-d630-43b9-b1cc-2bb5f6c8c893","resolution":{"observed_at":"2026-07-08T05:04:31.385846Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-08T05:04:31.422300Z","title":"evo: Python package for the evaluation of odom- etry and slam","venue":null,"work_id":"5feaf6cb-751e-4e5d-b69c-8a373d564e32","year":2017},"citing_paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-07-08T05:03:12.500674Z"},"links":{"citing_paper":"/paper/2607.06464"},"observation_digest":"sha256:78dc725497e3a5cf8f22213abab705eccbc566d0ff246673f9da100b03ea3f59","observation_id":"a6dcd094-98e0-4f75-8ee0-7f613570d181","resolution":{"observed_at":"2026-07-08T05:04:31.423434Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-08T05:04:31.414793Z","title":"OKVIS2- X: Open keyframe-based visual-inertial SLAM configurable with dense depth or LiDAR, and GNSS,","venue":null,"work_id":"9e5a0f12-724f-464c-9181-fbca0c83f71c","year":2025},"citing_paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-07-08T05:03:12.500674Z"},"links":{"citing_paper":"/paper/2607.06464"},"observation_digest":"sha256:0a386b6e1dc973cc0e3e4ea1e80f0f3afd326bb4f14006f1a9914f442373e10d","observation_id":"e556a96e-f590-491c-8565-7fd46cc5693d","resolution":{"observed_at":"2026-07-08T05:04:31.416052Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2606.04788","last_updated":"2026-06-03T12:14:24Z","snapshot_observed_at":"2026-08-10T13:55:05.654587Z","submitted_at":"2026-06-03T12:14:24Z","title":"Z-FLoc: Zero-Shot Floorplan Localization via Geometric Primitives","version":1},"cited_work":{"arxiv_id":"2606.04788","doi":null,"metadata_source":"pith","pith_arxiv_id":"2606.04788","snapshot_observed_at":"2026-07-08T05:04:31.282623Z","title":"Z-FLoc: Zero-Shot Floorplan Localization via Geometric Primitives","venue":"cs.CV","work_id":"1fdd30c2-5d49-4799-9b27-33c2c2e74542","year":2026},"citing_paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-07-08T05:03:12.500674Z"},"links":{"cited_paper":"/paper/2606.04788","citing_paper":"/paper/2607.06464"},"observation_digest":"sha256:8596ae0e6b7957248d171c72635b94cc8a02d0fe8d23c0e824a85fa627677cb1","observation_id":"82c83bde-bb7b-4af6-8ca7-ec53506caad2","resolution":{"observed_at":"2026-07-08T05:04:31.284125Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-08T05:04:31.417063Z","title":"OpenVINS: A research platform for visual-inertial estima- tion,","venue":null,"work_id":"553b822f-b078-45eb-87e4-9899b911e994","year":2020},"citing_paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-07-08T05:03:12.500674Z"},"links":{"citing_paper":"/paper/2607.06464"},"observation_digest":"sha256:11ba1d53219a068a80f7f79499c3599ee578ea382d83c279358c3438c14bb590","observation_id":"8affb17a-6e7d-4aca-95f2-1d5b7576c0fc","resolution":{"observed_at":"2026-07-08T05:04:31.418204Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-08T05:04:31.411385Z","title":"ORB-SLAM3: An accurate open-source library for visual, visual-inertial, and multimap SLAM,","venue":null,"work_id":"74df319d-c8c0-4850-ab81-3ce8e9f3ac4a","year":2021},"citing_paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-07-08T05:03:12.500674Z"},"links":{"citing_paper":"/paper/2607.06464"},"observation_digest":"sha256:e43a24a044f1faf2f31f4e0f01fee278c3f99f0d462e06b8d5a53e8bc0ca73f1","observation_id":"51460a7a-1e0c-4518-8037-ae5ff45ea7e4","resolution":{"observed_at":"2026-07-08T05:04:31.412530Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-08T05:04:31.429103Z","title":"sqrt-vins: Robust and ultrafast square-root filter-based 3d motion tracking,","venue":null,"work_id":"879aa992-9ccb-4426-ba8c-8c18cd69b04c","year":2025},"citing_paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-07-08T05:03:12.500674Z"},"links":{"citing_paper":"/paper/2607.06464"},"observation_digest":"sha256:91aa83ae30b85bcceedfd8bf5ef7110be0674d7a97a246037193ca9ec7c46bef","observation_id":"149e64c7-e5d2-4bff-aa5e-2c3aa9641d18","resolution":{"observed_at":"2026-07-08T05:04:31.430253Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.01527","last_updated":"2022-06-15T20:58:09Z","snapshot_observed_at":"2026-08-13T17:22:53.749000Z","submitted_at":"2021-12-02T18:59:58Z","title":"Masked-attention Mask Transformer for Universal Image Segmentation","version":3},"cited_work":{"arxiv_id":"2112.01527","doi":"10.48550/arxiv.2112.01527","metadata_source":"pith","pith_arxiv_id":"2112.01527","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https://arxiv.org/abs/2112.01527","venue":"cs.CV","work_id":"71516417-616a-4dba-b562-29599f059da3","year":2021},"citing_paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-07-08T05:03:12.500674Z"},"links":{"cited_paper":"/paper/2112.01527","citing_paper":"/paper/2607.06464"},"observation_digest":"sha256:ffea3230c32b0700363c17a1c87a78017942a0fc489e59e5a19efc0250f368e4","observation_id":"bfe716f5-bb04-49dc-9cdc-7b798c983093","resolution":{"observed_at":"2026-07-08T05:04:31.281367Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-08T05:04:31.373361Z","title":"Your ViT is Secretly an Image Segmenta- tion Model,","venue":null,"work_id":"5fb34d68-ba60-4099-878a-e2166bc4d70c","year":2025},"citing_paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-07-08T05:03:12.500674Z"},"links":{"citing_paper":"/paper/2607.06464"},"observation_digest":"sha256:88d0732434b2d4d585673439cdbe7bfa4e0aaae28533c71aab03f6ec9494c0f7","observation_id":"92d44676-f019-4dd9-81eb-0be4f508fb43","resolution":{"observed_at":"2026-07-08T05:04:31.374509Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2607.06464","last_updated":"2026-07-07T16:25:35Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-09T17:32:23.802028Z","submitted_at":"2026-07-07T16:25:35Z","title":"Hilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization"},"reference_resolution":{"displayed":42,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":1,"verified_exact":1,"verified_fuzzy":39},"total_outbound_references":42},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2607.06464."}