{"as_of":"2026-08-08T12:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:34e0c43eb6925549cc31be54560469052a265bf3d305921b9651abcaf502b074","coverage":[{"denominator":51,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":51,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T23:54:40.938880Z","state":"measured"},{"denominator":51,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":51,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2508.04659/citation-record","integrity":"/paper/2508.04659/integrity","json":"/paper/2508.04659/citation-record.json","paper":"/paper/2508.04659"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T23:54:45.955787Z","title":"PlaneFormers: From Sparse View Planes to 3D Reconstruction","venue":null,"work_id":"33051449-d301-46c8-84c6-cf4e48efa2ec","year":2022},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:38.115894Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:474b19b9d8f5093fa6bd195eab7d23accdd96e52f8d56699c5fb9b81f9dadcc4","observation_id":"4dd9a08e-38e6-4d8a-bb6b-3aca7ae4da2f","resolution":{"observed_at":"2026-08-05T23:54:46.067195Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1702.01105","last_updated":"2017-04-06T01:46:13Z","snapshot_observed_at":"2026-07-06T05:28:44.704796Z","submitted_at":"2017-02-03T18:28:33Z","title":"Joint 2D-3D-Semantic Data for Indoor Scene Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1702.01105","snapshot_observed_at":"2026-08-05T23:54:38.126533Z","title":"Joint 2D-3D-Semantic Data for Indoor Scene Understanding","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:38.126533Z"},"links":{"cited_paper":"/paper/1702.01105","citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:54b23ebbc7615ae81099945f4ebc4c7a8274162aa07b14ff9c84c5da2e298d4c","observation_id":"929d725c-5e22-4a1d-a819-7e454f3d4ad8","resolution":{"observed_at":"2026-08-05T23:54:38.126533Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T23:54:45.771925Z","title":"The CMU Visual Localization Data Set","venue":null,"work_id":"b987825f-9460-43b6-aa0d-4aa65560f67f","year":2011},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:38.187547Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:629e454cc7e1c8d1517eee5894ef489a399998ccadcc0053b3e13848e9f0e878","observation_id":"fe5cfa19-a5b9-4de7-840e-4ae6fac6f03f","resolution":{"observed_at":"2026-08-05T23:54:45.845474Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.03633","last_updated":"2025-06-25T10:36:35Z","snapshot_observed_at":"2026-08-08T09:47:53.542049Z","submitted_at":"2024-05-06T16:50:42Z","title":"Neural Graph Map: Dense Mapping with Efficient Loop Closure Integration","version":2},"cited_work":{"arxiv_id":"2405.03633","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.03633","snapshot_observed_at":"2026-08-05T23:54:41.033018Z","title":"Neural Graph Map: Dense Mapping with Efficient Loop Closure Integration","venue":"cs.CV","work_id":"46cc3212-ec54-49be-9f16-300a1abdc47f","year":2024},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:38.220534Z"},"links":{"cited_paper":"/paper/2405.03633","citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:e27210cea932f7556142e22002a674c7cbcb42ae31650174f14f806e28a728b5","observation_id":"a0188a0f-56da-4b79-afc5-f805dd0beef6","resolution":{"observed_at":"2026-08-05T23:54:41.037957Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T23:54:45.583022Z","title":"Floor-SP: Inverse CAD for Floorplans by Sequential Room- wise Shortest Path","venue":null,"work_id":"dd7b7288-401e-44c3-ab2b-40b9641fbd53","year":2019},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:38.308301Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:ac6067907556e086fac41f03a4ac206292088ddbde468475a6398f0a7981905e","observation_id":"11f3aa97-af88-4722-9469-4c58048107cc","resolution":{"observed_at":"2026-08-05T23:54:45.661401Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T23:54:45.399421Z","title":"Zillow Indoor Dataset: Annotated Floor Plans With 360° Panoramas and 3D Room Layouts","venue":null,"work_id":"5460e518-dd52-4bf9-8215-3d899b43f8c9","year":2021},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:38.366293Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:1e13addd6669b427e442b57ccb74a7ea28f60ac712bc1aea82e4bfe35c9c7a3f","observation_id":"295bd4d8-2c8b-4b7d-9022-53c11b3ed13d","resolution":{"observed_at":"2026-08-05T23:54:45.505767Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T23:54:45.239753Z","title":"ImageNet: A Large-Scale Hierarchical Image Database","venue":null,"work_id":"b313bb87-07ad-4347-afc2-ca8568018ac2","year":2009},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:38.430250Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:a5f6c82b72096c0000213196ca4d3d592237ed9f06a4e02d679e7cc9b65a2ff7","observation_id":"575af3fc-b8d9-416e-b959-a59a24091762","resolution":{"observed_at":"2026-08-05T23:54:45.313655Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T23:54:45.034663Z","title":"PanoContext-Former: Panoramic Total Scene Under- standing with a Transformer","venue":null,"work_id":"f170b511-ee38-4174-9bcf-55c61c1c9515","year":2024},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:38.518944Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:a86afc11092b76296fcdde571608bf4814745d2bbb52b723f750035974a2037d","observation_id":"e54f8e16-a5ee-4435-b757-0dd7b2c43ae8","resolution":{"observed_at":"2026-08-05T23:54:45.120952Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T23:54:44.868332Z","title":"Deep Residual Learning for Image Recognition","venue":null,"work_id":"ffd82846-89ad-43ad-8d4f-3cf6fe04c220","year":2016},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:38.608061Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:c90abb03933e9219ec0d45c75afbddd40300c5869bd8e85aff1cc9b8c156f868","observation_id":"d7ec92d3-73a0-4389-9069-d61cc69835b3","resolution":{"observed_at":"2026-08-05T23:54:44.941501Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T23:54:44.701766Z","title":"Recovering the Spatial Layout of Cluttered Rooms","venue":null,"work_id":"caf9a148-94a1-4e2e-ba42-1dbb8b635ad6","year":2009},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:38.669173Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:79a03a912e84c3a15a941746ac2ab507c2d0d88fe189e6925e0bc25ae03485cb","observation_id":"47927c03-d0ea-402b-8d48-73530949c4e4","resolution":{"observed_at":"2026-08-05T23:54:44.801267Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T23:54:44.416245Z","title":"MVLayoutNet: 3D Layout Reconstruction with Multi-view Panoramas","venue":null,"work_id":"c82b63b1-5567-4b40-8bba-48f3b6bb0e21","year":null},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:38.759065Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:e31bbd66c3f4e8e3af31b74e9b7e6a4569b776932fdef93d78bd1651c92aa08d","observation_id":"8e61bcc1-954a-4c74-84ba-a99e16667f3e","resolution":{"observed_at":"2026-08-05T23:54:44.615102Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.03594","last_updated":"2024-07-04T03:02:27Z","snapshot_observed_at":"2026-07-06T18:41:18.308899Z","submitted_at":"2024-07-04T03:02:27Z","title":"UniPlane: Unified Plane Detection and Reconstruction from Posed Monocular Videos","version":1},"cited_work":{"arxiv_id":"2407.03594","doi":null,"metadata_source":"pith","pith_arxiv_id":"2407.03594","snapshot_observed_at":"2026-08-05T23:54:41.009355Z","title":"UniPlane: Unified Plane Detection and Reconstruction from Posed Monocular Videos","venue":"cs.CV","work_id":"4b6f319b-99e5-477c-908c-32722ecc4b3f","year":2024},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:38.818540Z"},"links":{"cited_paper":"/paper/2407.03594","citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:17ab3bd45eb6064d69cce932d59a67a53f6797c81d0d688bd9921846742b143f","observation_id":"3e9f6d5b-e7a3-4717-a8f5-760e0a2371c8","resolution":{"observed_at":"2026-08-05T23:54:41.016012Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T23:54:44.176633Z","title":"Planar Surface Reconstruction from Sparse Views","venue":null,"work_id":"128f9e1a-d4bf-46bf-bb9a-970740394485","year":2021},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:38.873702Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:655b906dbdf69e8ad20afb2fb20453ccbf12032c55df1b1f9883bfeb8777dd0e","observation_id":"c69c6d8e-b57b-4d82-8521-c9beb50ba659","resolution":{"observed_at":"2026-08-05T23:54:44.292706Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-05T23:54:38.903982Z","title":"Adam: A method for stochastic optimization","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:38.903982Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:115e653980477d390d13381e6266c140bae710a3ebd2fc271b287ff77a4cf381","observation_id":"4eb6df8b-957f-40e6-bee5-7dcaa22fcd4d","resolution":{"observed_at":"2026-08-05T23:54:38.903982Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T23:54:43.856271Z","title":"RoomNet: End-to-End Room Lay- out Estimation","venue":null,"work_id":"1105eee5-1612-4d19-8f97-00dfb673b3bb","year":2017},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:38.962337Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:6b4c630da851d03e889ea2bdc8ebd422689db61efb5ea319466ef67c19f5bc5b","observation_id":"9d1f8905-856f-4475-9d7a-2b9eb7ec2ed3","resolution":{"observed_at":"2026-08-05T23:54:44.016580Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T23:54:43.589447Z","title":"Geometric Reasoning for Single Image Structure Recovery","venue":null,"work_id":"0ad1c3f7-a5ab-4a38-814d-d1cc4df71728","year":2009},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:39.050912Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:2c6cfdee7314b337f59641d4e15cdcc6fb30f59a9424f0294d67de93868bd5a5","observation_id":"6bf1d28f-bc93-4ab2-b77b-176eb1c0ae47","resolution":{"observed_at":"2026-08-05T23:54:43.694930Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T23:54:43.315768Z","title":"A method for the solution of certain non-linear problems in least squares","venue":null,"work_id":"8e68f6a8-70f0-4d89-8803-9f0a062128b4","year":1944},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:39.146099Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:6ebefa7c6bce91178c860c3e74927ff9e091710e4ad8a5b21ac3823b14973b4a","observation_id":"e848e0ce-9508-406f-a2c6-254135afe6cc","resolution":{"observed_at":"2026-08-05T23:54:43.423954Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T23:54:43.068074Z","title":"Pixel-Perfect Structure-from-Motion with Featuremetric Refinement","venue":null,"work_id":"cdc1c023-4bd9-4402-9e75-21f7468f78a1","year":2021},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:39.196686Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:2b1edd0d496d23975c77bd453466c0520523d408e29d194a52733b53f266aff3","observation_id":"3bb61977-2fba-4dad-9590-8aa17d4536e3","resolution":{"observed_at":"2026-08-05T23:54:43.193557Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T23:54:42.875624Z","title":"FloorNet: A Unified Framework for Floorplan Reconstruction from 3D Scans","venue":null,"work_id":"561ef18f-b9bb-4ff4-acc1-7c3d5618d248","year":null},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:39.284155Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:2f4e6b246ebd57975de11cce44084ce4b38fa0c140beef30f59419e380cb08e2","observation_id":"1887a6c6-504d-42c4-bcca-d0399b8dde34","resolution":{"observed_at":"2026-08-05T23:54:42.965408Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T23:54:42.684932Z","title":"PlaneRCNN: 3D Plane Detection and Reconstruc- tion from a Single Image","venue":null,"work_id":"6d16416f-99bf-45e9-a575-b83adf8f13a9","year":2019},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:39.373959Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:56b013c0f8ebd042aed3d0cd54ed5226265217920efa2264271b701b2703f679","observation_id":"7cf643c0-f91b-4c27-86c3-318191ebddaf","resolution":{"observed_at":"2026-08-05T23:54:42.772967Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T23:54:42.468342Z","title":"On the limited memory BFGS method for large scale optimization","venue":null,"work_id":"f42714bc-4d9f-40ae-ba05-43197d7b7fcb","year":1989},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:39.497089Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:58ae5ef454689e054f392192bc8cf4bafca283140948aa9c5a192bdaa27b3f03","observation_id":"a126ce4e-4aef-4286-951c-975cfb5a6b72","resolution":{"observed_at":"2026-08-05T23:54:42.588374Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T23:54:42.326885Z","title":"Learning Informative Edge Maps for Indoor Scene Layout Prediction","venue":null,"work_id":"c0e1a475-c9a4-4402-809e-3c82903f4763","year":2015},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:39.584246Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:dfd803d37f675ae38c2e768481ff40fa96b85fb17660492105a0b1580960ad85","observation_id":"ef21ab0a-ef55-4c90-8c8c-3061956ce3e8","resolution":{"observed_at":"2026-08-05T23:54:42.403854Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T23:54:42.112355Z","title":"An algorithm for least-squares esti- mation of nonlinear parameters","venue":null,"work_id":"d0c1e38a-0c51-4ca7-92c9-84f84b45ea9e","year":1963},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:39.682275Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:577c93cc2b2d53bc92166ac011b346a5b2d4933eb24eb661ec2f50f3d27a2067","observation_id":"7276f491-4588-4128-9fda-16bbfc4746a6","resolution":{"observed_at":"2026-08-05T23:54:42.225641Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T23:54:41.856206Z","title":"Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single Image","venue":null,"work_id":"c0343dcd-69e6-4690-ad12-d3a2930ae3d9","year":2020},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:39.772903Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:655d62fb9de57b4ff48a86bf3262bd4d9eabc8684a07a5181932b45230924483","observation_id":"36975a2f-5e5a-4fb3-ba50-a69b43537ddf","resolution":{"observed_at":"2026-08-05T23:54:41.951797Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T23:54:41.594761Z","title":"DeepLSD: Line Segment Detection and Refinement with Deep Image Gradients","venue":null,"work_id":"187d884b-15ec-498c-a488-a71bdc938b79","year":2023},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:39.863692Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:70983c5d544782fbb09a7f58cb17d8ab382bb68c4f5392cc2259082cff4aeeea","observation_id":"493d37ad-2ba7-4c5e-baa4-92458c1c5583","resolution":{"observed_at":"2026-08-05T23:54:41.687666Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T23:54:41.443095Z","title":"3d floor plan recovery from overlapping spherical images","venue":null,"work_id":"99e3c041-1d3e-4dd9-9bc3-d734ce7a6f06","year":2018},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:39.889831Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:86c5f396b5b3f9e68456ca9b4ed1ffb05fd2ac31b0b83d6d0d64d6e39a263878","observation_id":"04eb48f4-99b6-4f64-af4b-2dd4671f50a7","resolution":{"observed_at":"2026-08-05T23:54:41.503547Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T23:54:41.414790Z","title":"State- of-the-art in Automatic 3D Reconstruction of Structured In- door Environments","venue":null,"work_id":"4f598d2d-3772-42d0-b79a-24fad3be1c16","year":2020},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:39.963452Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:2aebbaeacee625425415e50b7bfb58c61cce21aa302584011afcff7a81753b56","observation_id":"62449063-4710-4095-953e-099fa4af2e30","resolution":{"observed_at":"2026-08-05T23:54:41.425881Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T23:54:41.390697Z","title":"Deep3DLayout: 3D Reconstruction of an Indoor Layout from a Spherical Panoramic Image","venue":null,"work_id":"62f27e63-b7e1-474e-b94b-ade2089a90b9","year":2021},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:40.076107Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:0a341e48b48ccbe4f1b06f3b27bd2226ae6dbe5ebc57380f2b53d37aa13c8e05","observation_id":"41b0a433-b1fc-4ced-8171-20842f9f2bd8","resolution":{"observed_at":"2026-08-05T23:54:41.399079Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T23:54:41.372979Z","title":"U-Net: Convolutional Networks for Biomedical Image Segmenta- tion","venue":null,"work_id":"b268f813-d8e8-42b5-8c86-2f3b134ecfd6","year":2015},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:40.136003Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:d40a2096419aa611db6511ec056197b0da02e873055f6dd7482a87e754f180ac","observation_id":"55f1151d-6eb9-46d2-b42b-80e33bd49fc6","resolution":{"observed_at":"2026-08-05T23:54:41.378846Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T23:54:41.357479Z","title":"Back to the Feature: Learning Robust Camera Localization from 9 Pixels to Pose","venue":null,"work_id":"ac20cce3-ce53-44d7-b985-b391a47077d8","year":2021},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:40.194550Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:a70d4adf97cd32c4b62d85c3aba68de768a46f64970fd402c66b6c1ea4cb5b29","observation_id":"f2e39ee6-3c55-4e8d-bb61-bf365f0c4eb2","resolution":{"observed_at":"2026-08-05T23:54:41.362238Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T23:54:41.341822Z","title":"Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions","venue":null,"work_id":"f974ecac-5afb-4a94-9145-c5d473d0042c","year":2018},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:40.251907Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:9ae1b094697702193b2d94c43889ca82e19bc110d8f736fcda8440f9719fda6e","observation_id":"a9702a29-9292-445e-992d-ae3ca5e6c636","resolution":{"observed_at":"2026-08-05T23:54:41.346115Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T23:54:41.327298Z","title":"Feature-metric Loss for Self-supervised Learning of Depth and Egomotion","venue":null,"work_id":"04a788d6-35fb-430b-b940-d2a81f074806","year":2020},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:40.332270Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:534839a9f069709cf7b66aa97e000a411278b86f3743466eeadfbce3c7e757ce","observation_id":"95ef2e6f-cc29-4cc4-98a6-5924418b1466","resolution":{"observed_at":"2026-08-05T23:54:41.331900Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T23:54:41.312756Z","title":"SUN RGB-D: A RGB-D Scene Understanding Benchmark Suite","venue":null,"work_id":"1e9691c6-cdd0-45bc-8319-225de0caaff9","year":null},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:40.440332Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:1727dad24b9abbc10aafde25a2bf3c41ef6802b3dfb50617244c6977c3b6d7fc","observation_id":"d7e85311-7906-4f65-a1a2-c5a3b4f8490d","resolution":{"observed_at":"2026-08-05T23:54:41.317271Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.05797","last_updated":"2019-06-13T16:29:58Z","snapshot_observed_at":"2026-08-01T13:51:16.469557Z","submitted_at":"2019-06-13T16:29:58Z","title":"The Replica Dataset: A Digital Replica of Indoor Spaces","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.05797","snapshot_observed_at":"2026-08-05T23:54:40.476657Z","title":null,"venue":null,"work_id":null,"year":1906},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:40.476657Z"},"links":{"cited_paper":"/paper/1906.05797","citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:8184af0cc21f4eea749cb0c3c65088ca2d1bfce2cc0d8184f6f01d5c9ade6b04","observation_id":"d5736cfd-c71d-42bb-8e52-a41d9be7073c","resolution":{"observed_at":"2026-08-05T23:54:40.476657Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T23:54:41.297607Z","title":"GPR-Net: Multi-view Layout Estimation via a Geometry-aware Panorama Registration Network","venue":null,"work_id":"e0100ceb-501d-4e0c-b80f-6ba4863732f1","year":2023},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:40.547885Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:20856b673a6c15af3ca3c283fc507fda8771f87dbe92a786bf7cc2fed212018a","observation_id":"15e62d41-4c2f-4056-bca9-1c22a5ffc098","resolution":{"observed_at":"2026-08-05T23:54:41.302303Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T23:54:41.282864Z","title":"HorizonNet: Learning Room Layout with 1D Repre- sentation and Pano Stretch Data Augmentation","venue":null,"work_id":"112fd5ba-53c0-4500-8ae5-8b92ccc1039a","year":2019},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:40.622302Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:2e57a40ad4750ceba2e199d01786ba4518bf3a027cc67edf1c37c3e638522aec","observation_id":"218be9f4-250e-4c65-a699-9670d840d9f0","resolution":{"observed_at":"2026-08-05T23:54:41.287719Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T23:54:41.268824Z","title":"Pix3D: Dataset and Methods for Single- Image 3D Shape Modeling","venue":null,"work_id":"26712545-af5e-4ad1-980d-7d6bd985f7cf","year":2018},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:40.692937Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:92ccad9f9e75504dbdb54470c43499139f7057552b6ef2d5d7b1bb057d4695a1","observation_id":"b1b0071b-0851-403a-ba41-6764568f6b98","resolution":{"observed_at":"2026-08-05T23:54:41.273275Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T23:54:41.253435Z","title":"Non-Iterative Approach for Fast and Accurate Vanishing Point Detection","venue":null,"work_id":"a41d9292-71a0-42c0-babb-788df5e010dd","year":2009},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:40.766382Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:595b857c2c5de2c608aa1d29c5c48029858e4500ccb65c8c13916b695ef34d94","observation_id":"3f32ef89-753f-4e9b-b772-c27eee6d95b8","resolution":{"observed_at":"2026-08-05T23:54:41.258285Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T23:54:41.239018Z","title":"LED²-Net: Monocular 360° Layout Estima- tion via Differentiable Depth Rendering","venue":null,"work_id":"2a3a298f-7f5a-47de-a205-3b20f2ae771f","year":2021},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:40.866309Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:e95cc54b945fc2d8795f78b337ee4c8d55e63b38ddee155e3e35fcf37520c36c","observation_id":"8aac3062-c31d-4488-98a9-4c68c08a24c7","resolution":{"observed_at":"2026-08-05T23:54:41.243739Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T23:54:41.224334Z","title":"PSM- Net: Position-aware Stereo Merging Network for Room Lay- out Estimation","venue":null,"work_id":"1fadfcf0-13b4-4bc1-8000-6d9ce9a78d9d","year":2022},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:40.894098Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:4bbc85ae084274b37e6a87b3e68d3d8c3eba36a444357efe646a6f8591de68e0","observation_id":"bd4e7bd8-83cf-427c-8c17-5b19ed8c2328","resolution":{"observed_at":"2026-08-05T23:54:41.229017Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T23:54:41.208662Z","title":"AirPlanes: Accurate Plane Estimation via 3D-Consistent Embeddings","venue":null,"work_id":"8864b2f0-963a-4c39-a5cd-ae8ede735d9e","year":2024},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:40.898021Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:22ad9412ac00c8bcb3da6a27bc546adc64919a058c7275cda7d51597f76c15ad","observation_id":"c24f72d5-c52d-432f-81c9-3207c3e8a460","resolution":{"observed_at":"2026-08-05T23:54:41.213616Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T23:54:41.193760Z","title":"Reconstructing the World’s Museums","venue":null,"work_id":"9560a7dc-2c20-4121-9a5f-2742aa0a2ef4","year":2014},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:40.902122Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:39c00fbdb3418310402ac6fe298cb549201c184e2230c6e9aefae3af4390b410","observation_id":"15aadae3-a1ab-4a49-8451-f773050016de","resolution":{"observed_at":"2026-08-05T23:54:41.197970Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T23:54:41.179572Z","title":"PlanarRecon: Real-time 3D Plane Detec- tion and Reconstruction from Posed Monocular Videos","venue":null,"work_id":"b20ec2fa-26aa-4a1a-90f9-536255112d13","year":2022},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:40.906417Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:e2dcc0bef3e91dc00266478479269d5b932e4430dd8791630e71a4904db8e135","observation_id":"0aa90196-0ae1-4891-995e-1a242d1749df","resolution":{"observed_at":"2026-08-05T23:54:41.184346Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T23:54:41.165659Z","title":"Deep Probabilistic Feature-metric Tracking","venue":null,"work_id":"6f775793-c615-4157-bbb3-230199b29118","year":2020},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:40.910390Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:302d5fe5eb43cde0619f30021e342e32326f77c52e9056f75fb37e7e07609feb","observation_id":"545bdd58-e973-4cdf-ae0e-422f439a3ee6","resolution":{"observed_at":"2026-08-05T23:54:41.170064Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T23:54:41.152155Z","title":"DuLa-Net: A Dual-Projection Network for Estimating Room Layouts from a Single RGB Panorama","venue":null,"work_id":"3cd8d39b-5116-406e-9275-b4f140be5bb2","year":2019},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:40.914268Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:0ccb805bfc012072c5699c48efd7f48f07e989564a70414b9df409230cda00fc","observation_id":"b7273cf9-a545-42c8-8c38-f259a9e0d35d","resolution":{"observed_at":"2026-08-05T23:54:41.156535Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T23:54:41.137298Z","title":"ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes","venue":null,"work_id":"6e822d68-2dba-4999-b29d-f5177feaecb8","year":2023},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:40.918163Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:7cdc7206df426b9746232c8be34e0d162a4e7629eb24d3774b58930118320c84","observation_id":"94f003a7-a1e2-410d-8487-cbc15421fbf1","resolution":{"observed_at":"2026-08-05T23:54:41.142008Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T23:54:41.122618Z","title":"Single-Image Piece-wise Planar 3D Recon- struction via Associative Embedding","venue":null,"work_id":"509735b7-eab5-4029-a2b7-c17cdbc2da5a","year":2019},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:40.922257Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:9a392ab8b1bff743d949942da639c58674c70a982759c5ed438af287a167a30d","observation_id":"2dae2d22-766c-4f6c-80c2-d2acc741edd5","resolution":{"observed_at":"2026-08-05T23:54:41.126914Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T23:54:41.108038Z","title":"Connecting the Dots: Floorplan Recon- struction Using Two-Level Queries","venue":null,"work_id":"fd58d42e-555d-4586-a5fe-9408c997daf6","year":2023},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:40.926349Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:4dcd9bea699b252d0e8f785e4792a390836ce07734b56cca823758be0264c50a","observation_id":"cdcf3a27-1816-42a9-9d6a-e7ca5f2c231d","resolution":{"observed_at":"2026-08-05T23:54:41.112677Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T23:54:41.093670Z","title":"Holistic 3D Scene Under- standing from a Single Image with Implicit Representation","venue":null,"work_id":"4813d923-200c-4efb-ab33-cd7dfc824cb8","year":2021},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:40.930379Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:ac9bc77f47645a827e51d05b4493f0e3d6ca99cb75c7e54d07757fb2ccbdecc4","observation_id":"a612c01a-c1d7-4f0d-aa6e-1e0a82253739","resolution":{"observed_at":"2026-08-05T23:54:41.097978Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T23:54:41.079316Z","title":"LayoutNet: Reconstructing the 3D Room Layout from a Sin- gle RGB Image","venue":null,"work_id":"921c7ef4-7b73-4390-b62e-8461ffc4fcb1","year":2018},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:40.934465Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:2a6765e8566d44c9b276f5513f9f1064e8af426374f4b95d89e16913e2f5a035","observation_id":"e2fd4f7e-0843-4013-9bb1-4f08ef6ee9f6","resolution":{"observed_at":"2026-08-05T23:54:41.083562Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T23:54:41.064700Z","title":"Manhattan Room Layout Reconstruction from a Single 360° Image: A Comparative Study of State-of-the-Art Methods","venue":null,"work_id":"967da121-13d5-47eb-9027-5eb3efc7e045","year":2021},"citing_paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-05T23:54:40.938880Z"},"links":{"citing_paper":"/paper/2508.04659"},"observation_digest":"sha256:16a7280539f757bdcce3d853c69f38a7623b6431b8e8dbfff0379a9ebbffd04c","observation_id":"3c3b8d39-8659-4817-8786-f962ca432123","resolution":{"observed_at":"2026-08-05T23:54:41.069475Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2508.04659","last_updated":"2025-08-06T17:27:50Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T11:58:50.740269Z","submitted_at":"2025-08-06T17:27:50Z","title":"PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment"},"reference_resolution":{"displayed":51,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":2,"verified_fuzzy":46},"total_outbound_references":51},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2508.04659."}