{"as_of":"2026-08-19T00:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7e107c3a5f2b078ae81630ba05524d1b7eb031aafd393ac97d0199111adc82d8","coverage":[{"denominator":71,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":71,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T19:22:26.991971Z","state":"measured"},{"denominator":72,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":72,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T17:02:57.178316Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.16991","snapshot_observed_at":"2026-08-04T17:02:57.178316Z","title":"Forestformer3d: A unified framework for end-to-end segmentation of forest lidar 3d point clouds","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.11201","last_updated":"2025-09-14T10:00:59Z","snapshot_observed_at":"2026-08-05T20:42:38.797716Z","submitted_at":"2025-09-14T10:00:59Z","title":"Scaling Up Forest Vision with Synthetic Data","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-04T17:02:57.178316Z"},"links":{"cited_paper":"/paper/2506.16991","citing_paper":"/paper/2509.11201"},"observation_digest":"sha256:15be37750039584807f395f3926cda607abf2b1ba7f3710cef671b594efe4d8d","observation_id":"5777a489-fde0-4a32-860f-164c33ce030d","resolution":{"observed_at":"2026-08-04T17:02:57.178316Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2506.16991/citation-record","integrity":"/paper/2506.16991/integrity","json":"/paper/2506.16991/citation-record.json","paper":"/paper/2506.16991"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:22:28.388046Z","title":"LAUTx - individual tree point clouds from aus- trian forest inventory plots, 2022","venue":null,"work_id":"2b7b43b3-9c93-465a-971c-846738b4a5ce","year":2022},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.612155Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:f45264d7525875fca94d340b1d4e2bbbf3a62c7fc6ae7bee26f6d91a2d7d0dd0","observation_id":"bdab4ec7-52c3-417f-bb61-b21025e3c166","resolution":{"observed_at":"2026-08-15T19:22:28.393608Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:28.367304Z","title":"Zamir, Helen Jiang, Ioan- nis Brilakis, Martin Fischer, and Silvio Savarese","venue":null,"work_id":"2ff2a7d9-059c-4945-b4ef-957fd99c5858","year":2016},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.618695Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:3eaa47a562b5230df954df348d8101c65e81cfe2aeb09060e1d67b041603d366","observation_id":"15fa0c03-280b-42d5-ae7b-5e0ef862c2ea","resolution":{"observed_at":"2026-08-15T19:22:28.375010Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1702.01105","last_updated":"2017-04-06T01:46:13Z","snapshot_observed_at":"2026-08-14T21:18:04.991124Z","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":"2026-08-15T19:22:26.624573Z","title":"Zamir, and Silvio Savarese","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.624573Z"},"links":{"cited_paper":"/paper/1702.01105","citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:7750805fffbf8327a0ca0f671c9350f16fb626ff2c4894b841eea962659b1f85","observation_id":"42c873eb-0cf7-447a-894b-83e6075acfc8","resolution":{"observed_at":"2026-08-15T19:22:26.624573Z","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":"2026-08-15T19:22:28.350643Z","title":"Kershaw Jr., Laura S","venue":null,"work_id":"a5e6e56f-2397-40e2-b684-3c41d07929e3","year":2017},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.631759Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:e286d64c2cbd6115b1b515a3b7d57b5149e73e3621900ce3c1d9ba6f98b6ba85","observation_id":"9ffc1709-1e5b-46fc-b792-8eec5b4b5ec8","resolution":{"observed_at":"2026-08-15T19:22:28.356144Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:28.334093Z","title":"Semantic segmentation of sparse irregular point clouds for leaf/wood discrimination","venue":null,"work_id":"ef27a430-9f74-47c9-809c-22f18accbd4a","year":2023},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.637553Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:83d326e2eb723aec3b084cacde63550f68cf369e59c0f47cc8fbd5ba5597801e","observation_id":"6df95c68-cefa-4a12-82eb-804b76d08e19","resolution":{"observed_at":"2026-08-15T19:22:28.339544Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:28.316839Z","title":"Se- manticKITTI: A dataset for semantic scene understanding of LiDAR sequences","venue":null,"work_id":"71e6c722-0010-4e63-ad95-2e7497dce5ef","year":2019},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.642898Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:f2fba2f4749518075921131133e9788e6d3720e6397f225128fcae00d9e0e4ff","observation_id":"26b1be2b-c804-40b2-b5cc-3fef01253d95","resolution":{"observed_at":"2026-08-15T19:22:28.322049Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:28.300043Z","title":"Lang, Sourabh V ora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom","venue":null,"work_id":"a33e6961-e9ea-420f-9452-957c26479e88","year":2020},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.648563Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:b0cd83862526f815d6b18c7e7da2a0070040d61a3c3923f49ca9b853202ad7d1","observation_id":"7737b5b5-e33c-4a1e-9d09-672b164acca0","resolution":{"observed_at":"2026-08-15T19:22:28.305661Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:28.283016Z","title":"Laser scan- ning reveals potential underestimation of biomass carbon in temperate forest","venue":null,"work_id":"9d8ff812-37d3-4618-8e04-e48a0d944d62","year":2022},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.653618Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:3e428cffa856967e723117286d3209c8adef1ea5a64f12709e86d3f4786f7a70","observation_id":"129e6b8a-80ad-424b-a81a-76c256eaebe8","resolution":{"observed_at":"2026-08-15T19:22:28.288107Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:28.265836Z","title":"A two-stage approach for individual tree segmenta- tion from TLS point clouds","venue":null,"work_id":"0956e2f1-d0c9-428f-bed9-935c81f54d88","year":2022},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.658607Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:e7cfdef2ea5cd56234bcf1cce6c7b72d69dbbeb3fd3e5d3bb552a37042b36ed8","observation_id":"363d243a-c68f-4c5f-8b13-679fffb740d2","resolution":{"observed_at":"2026-08-15T19:22:28.271307Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:28.248484Z","title":"Qi Charles, Hao Su, Mo Kaichun, and Leonidas J","venue":null,"work_id":"4afbbb81-5ae3-431d-afe4-c75c1e05ba7d","year":2017},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.663850Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:da3961e0ea94a29818083ab37f66ff3f5a8f61f6b63cf52de0c35058c3000254","observation_id":"cc53cb06-7c2f-4a40-9f9a-b055eb3d31c9","resolution":{"observed_at":"2026-08-15T19:22:28.253679Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:28.231083Z","title":"Hierarchical aggregation for 3D instance segmentation","venue":null,"work_id":"e48b4d83-cf35-4d36-8db0-0fcd90f228ed","year":2021},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.668911Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:d93aab04fa47adda023ccd85c4bd6f91e8ca5b2d4fa065bb4fecfe98ad25084c","observation_id":"542b83ff-4909-4e3b-8089-290886e762ad","resolution":{"observed_at":"2026-08-15T19:22:28.236029Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:28.212534Z","title":"Individual tree crown segmentation directly from UA V-borne LiDAR data using the PointNet of deep learning","venue":null,"work_id":"01e54407-902b-47ee-a1d9-dd6256e07d58","year":2021},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.673733Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:85ab432874d8ff343575ea60e7372a56e050cb8b5c0425667060ba03de0fc9cb","observation_id":"2d09fdc3-7a33-4271-9533-3e9de0965d0b","resolution":{"observed_at":"2026-08-15T19:22:28.219182Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:28.195835Z","title":"4D spatio-temporal convnets: Minkowski convolutional neural networks","venue":null,"work_id":"11c59d39-e709-4c6e-810a-1382b13aeb33","year":2019},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.678670Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:a49b2391fe160214ad608f3aee222909321d924f572d7d6000a913a49ed0cb84","observation_id":"527a995c-5a98-463f-829c-013293d933dd","resolution":{"observed_at":"2026-08-15T19:22:28.200947Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:28.178988Z","title":"Spconv: Spatially sparse convolu- tion library","venue":null,"work_id":"f09aacfe-cd61-43f0-add4-418826b73cb5","year":2022},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.683820Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:7f8266ad9b3deb05f446352cf8b4e3ab30510f1283877cdbbaf9314cfdfbb81e","observation_id":"affc5abc-2cb8-4a71-a491-a69037044c1b","resolution":{"observed_at":"2026-08-15T19:22:28.183976Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:28.162039Z","title":"Chang, Manolis Savva, Maciej Hal- ber, Thomas Funkhouser, and Matthias Nießner","venue":null,"work_id":"cd2956bf-60c8-4a32-94ca-b177e46d251e","year":2017},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.688510Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:2cb19717bd4e5a6fb6b28876ea05f806a243cd2e8b2708e810da266598f35efa","observation_id":"ae14c696-eda7-46e4-9a2f-04f176598ee3","resolution":{"observed_at":"2026-08-15T19:22:28.167814Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:28.146082Z","title":null,"venue":null,"work_id":"09448c01-a81e-4212-8c74-dd0e870d8080","year":2016},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.693405Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:f7226f72c8d4a8efeca21d82cf95e5c0f2f387cfc3eddb3261a496e86f5f9b5a","observation_id":"2cc062d3-e7a5-45ca-985b-24e6193b820f","resolution":{"observed_at":"2026-08-15T19:22:28.151132Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:28.130117Z","title":"Se- mantic instance segmentation for autonomous driving","venue":null,"work_id":"e999da90-adbb-4d28-a561-62dc1a617ad5","year":2017},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.698547Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:7b2e9d606dfcf5490172c986c2ebcbc2a1c58e53fc8bd97b8f0aafd8aaf05404","observation_id":"15b23554-dbb0-4b75-82b0-64f7514aa02d","resolution":{"observed_at":"2026-08-15T19:22:28.135272Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:28.114809Z","title":"Improved block merging for 3D point cloud instance segmentation","venue":null,"work_id":"4f2ff7f3-200b-4aba-8b02-622af559db51","year":2023},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.703506Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:12a5ccde75df3bf307527ea1a5a9542ba7ce2e47def5e01594424a92da02e004","observation_id":"83904aa5-6822-4263-b57f-eb28b27fb1c1","resolution":{"observed_at":"2026-08-15T19:22:28.119632Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:28.098961Z","title":"3D Bird’s-Eye-View instance segmenta- tion","venue":null,"work_id":"742e3ba8-9fc3-42bf-9f15-edc107ed61a6","year":2019},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.708796Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:3636e9bc735d2dd5ed506234da8c41567f89b4a2100217caa2a2447aba35bb23","observation_id":"d67b343d-e949-4d1c-b7ea-c0e01b177cd8","resolution":{"observed_at":"2026-08-15T19:22:28.104016Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:28.082529Z","title":"3D-MPA: Multi proposal ag- gregation for 3D semantic instance segmentation","venue":null,"work_id":"d6d10643-b120-441c-8690-cb19ff7a6df2","year":2020},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.714031Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:7233ae4dea2e6c332d5430c27ce34b6c7c17ec91134c77c662c19bb4de72cc9f","observation_id":"95177382-c6d3-42d3-a6aa-247ed645ef6a","resolution":{"observed_at":"2026-08-15T19:22:28.087765Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:28.066239Z","title":"3-D mapping of a multi-layered mediterranean for- est using ALS data","venue":null,"work_id":"599ae8c1-ceb4-4be4-ba94-c22bdb8b15d7","year":2012},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.719767Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:8782cf3abb1894a25ab39edd7ad4dc4720f3f08461b135e6974215d020bc6430","observation_id":"af0b2042-f804-41ad-9fbf-e2bded2300b4","resolution":{"observed_at":"2026-08-15T19:22:28.071485Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:28.050856Z","title":"Occuseg: Occupancy-aware 3D instance segmentation","venue":null,"work_id":"fc17784a-2886-4c5d-ba16-3b46faa2dd59","year":2020},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.725669Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:56c94588276b1d980572db863abc3b76828f22421bc27cf3e151efa0b9122f8b","observation_id":"e821bf35-ee5f-40d7-a4b9-36b2a388bb7b","resolution":{"observed_at":"2026-08-15T19:22:28.055776Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:28.033531Z","title":"FastInst: A simple query-based model for real-time instance segmentation","venue":null,"work_id":"df103acc-09cc-464e-9bcf-d876749e858e","year":2023},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.730217Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:f549e7b45cf81caefadafcb950d6c9b906770d7197f728ba01ce81fc95ab1b29","observation_id":"2378b8aa-2bc2-4fe6-9c79-389c9d63ac0c","resolution":{"observed_at":"2026-08-15T19:22:28.038969Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.08471","last_updated":"2025-01-06T15:26:26Z","snapshot_observed_at":"2026-08-18T02:56:19.306732Z","submitted_at":"2023-09-15T15:20:16Z","title":"TreeLearn: A deep learning method for segmenting individual trees from ground-based LiDAR forest point clouds","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.08471","snapshot_observed_at":"2026-08-15T19:22:26.735447Z","title":"TreeLearn: A comprehensive Figure 12","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.735447Z"},"links":{"cited_paper":"/paper/2309.08471","citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:b33295f4292f502c5f2121c3795b00def107abf37cde70b7464fcd2eb8f49f65","observation_id":"59a66870-b4c3-43ab-9c28-b646b54fdb25","resolution":{"observed_at":"2026-08-15T19:22:26.735447Z","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":"2026-08-15T19:22:28.017235Z","title":"Hyyppa, O","venue":null,"work_id":"6849a9ad-62b6-4b6f-9dd9-6d06d42a0dff","year":2001},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.741195Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:73619da7e3ff1e31e792d5e3b2dda865f188a93a5d1804f0e19ac2a001741bdc","observation_id":"6282fee7-fd49-45a2-8d7c-9562e8d2e9e4","resolution":{"observed_at":"2026-08-15T19:22:28.022376Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:27.999491Z","title":"PointGroup: Dual-set point grouping for 3D instance segmentation","venue":null,"work_id":"89e13855-4b8d-4c7b-b976-ca847ff61bab","year":null},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.746301Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:90981b40de0332eac062421727e96dee5f46035da930979cb9840b3e64eb48af","observation_id":"25782dad-0315-45ac-852d-c5af1df0946e","resolution":{"observed_at":"2026-08-15T19:22:28.004788Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:27.982775Z","title":"LWSNet: A point-based segmentation network for leaf-wood separa- tion of individual trees","venue":null,"work_id":"72387e44-c216-4c3e-aad6-a08ec6824b9a","year":2023},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.751995Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:5ca0862a32bec1c4e0f3ef34942593815e8d6e5b82eb85651a89f618b6ebeef2","observation_id":"50f7c140-7008-4538-b6f9-136e6ce885c8","resolution":{"observed_at":"2026-08-15T19:22:27.987604Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:27.966557Z","title":"Automated segmentation of individual tree structures using deep learn- ing over LiDAR point cloud data.Forests, 14(6):1159, 2023","venue":null,"work_id":"01d3fc83-b19f-46a6-a85c-59e32f364611","year":2023},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.759629Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:82b0e0740f29eadb9320c10ae3947d0fd2fd7c6eafb9b425d198e83e71d11ff3","observation_id":"4475935d-bb19-43d9-8d9c-62615d90c5c2","resolution":{"observed_at":"2026-08-15T19:22:27.971877Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:27.949307Z","title":"Top-down beats bottom-up in 3D in- stance segmentation","venue":null,"work_id":"ebc47705-53cb-4345-bb71-137be12f2af9","year":2024},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.765924Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:e56a983819168ca00983c086309d19b7026f762f58814f8f275a445e34ecbdf3","observation_id":"f6a9d9b0-739d-4a95-9403-ed48e53aefbf","resolution":{"observed_at":"2026-08-15T19:22:27.954262Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:27.933793Z","title":"OneFormer3D: One transformer for unified point cloud segmentation","venue":null,"work_id":"46d09b86-11a9-4216-a30b-d636a3e5507d","year":2024},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.772097Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:31901cd7e8d5b4fa75b940d1d8990e59f4de5ffb56926ef6ca369a69c1460831","observation_id":"d2685f36-350c-4489-b73d-08663d998a88","resolution":{"observed_at":"2026-08-15T19:22:27.938877Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:27.918114Z","title":"Sensor agnos- tic semantic segmentation of structurally diverse and com- plex forest point clouds using deep learning","venue":null,"work_id":"44ecedc0-498a-4837-956f-87d531b80a6f","year":2021},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.777151Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:b9be8a6320fd4c8f43e809d54bc82c4739b9e9f22b106eb3aea5241c69165773","observation_id":"9cf714c6-36c9-4dad-b029-5dfe6ebc6717","resolution":{"observed_at":"2026-08-15T19:22:27.923321Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:27.902087Z","title":"The Hungarian method for the assignment problem","venue":null,"work_id":"6616f3b7-7c19-442d-8a00-4af182afc1ca","year":null},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.782220Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:8ee80ad6f64c504275d8fb858440ca72959ff299e563cc239c35a1a5c9ccf30f","observation_id":"67a76495-bd15-4d99-b35a-553939b2af98","resolution":{"observed_at":"2026-08-15T19:22:27.907065Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1902.04478","last_updated":"2019-02-12T16:30:54Z","snapshot_observed_at":"2026-08-18T01:50:55.755695Z","submitted_at":"2019-02-12T16:30:54Z","title":"MASC: Multi-scale Affinity with Sparse Convolution for 3D Instance Segmentation","version":1},"cited_work":{"arxiv_id":"1902.04478","doi":null,"metadata_source":"pith","pith_arxiv_id":"1902.04478","snapshot_observed_at":"2026-08-15T19:22:27.215915Z","title":"MASC: Multi-scale Affinity with Sparse Convolution for 3D Instance Segmentation","venue":"cs.CV","work_id":"61c66deb-f772-4f10-870c-d4c048ec98c9","year":2019},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.787868Z"},"links":{"cited_paper":"/paper/1902.04478","citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:1c840d7d6abae9fbf26cad9d05b2517707be33b0005e433d41dd3f43f291f653","observation_id":"b2ce7c5e-af61-4edc-beb4-98234bd4cee8","resolution":{"observed_at":"2026-08-15T19:22:27.221263Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:27.886693Z","title":"Individual tree identification using a new cluster-based approach with discrete-return airborne LiDAR data","venue":null,"work_id":"e92d766c-6233-44ff-a3cc-9eb4645d2522","year":2021},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.793620Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:8a3fdcc1373cddffe3171bc3d1650b85328ec86535b28ea3fbba12519b69a200","observation_id":"8fc3e329-0265-41d0-a45e-4dc2e96f6617","resolution":{"observed_at":"2026-08-15T19:22:27.891786Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.09375","last_updated":"2022-11-17T07:04:53Z","snapshot_observed_at":"2026-08-16T16:15:29.134974Z","submitted_at":"2022-11-17T07:04:53Z","title":"3D-QueryIS: A Query-based Framework for 3D Instance Segmentation","version":1},"cited_work":{"arxiv_id":"2211.09375","doi":null,"metadata_source":"pith","pith_arxiv_id":"2211.09375","snapshot_observed_at":"2026-08-15T19:22:27.190753Z","title":"3D-QueryIS: A Query-based Framework for 3D Instance Segmentation","venue":"cs.CV","work_id":"1c37d24c-cdfe-4eea-bc61-dc714e41dba5","year":2022},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.798827Z"},"links":{"cited_paper":"/paper/2211.09375","citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:d7ed0169711be509a719a216c34c7cd0651e272c6d6be009c8978262c5d3fc22","observation_id":"ca472298-2992-4752-8379-000acb5baf2a","resolution":{"observed_at":"2026-08-15T19:22:27.196632Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:27.870995Z","title":"Learnable earth parser: Discovering 3D proto- types in aerial scans","venue":null,"work_id":"4e243d43-b472-4588-8256-9b6a72a46d69","year":2024},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.804820Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:f68287e1b01aabc6b473d46e18caff55ab428e26be83ea0b897b1f21ef388e4b","observation_id":"88a51bb1-4122-4932-8e59-d0c44149393a","resolution":{"observed_at":"2026-08-15T19:22:27.875882Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:27.854747Z","title":"Query refinement transformer for 3D in- stance segmentation","venue":null,"work_id":"e5a49801-6dba-48f8-b06f-67cd2cc801a3","year":2023},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.810612Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:e258cc8dd9413842d6b3e4a6cf4bc6e7511209ef9b3fa5352a55f015b69a4b56","observation_id":"12d3a93c-14f8-41b0-844f-6864df2231ea","resolution":{"observed_at":"2026-08-15T19:22:27.859836Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:27.839061Z","title":"Conditional DETR for fast training convergence","venue":null,"work_id":"fb7b2a4f-fd03-4a84-a8a2-20c201a5259f","year":2021},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.815668Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:6baeec6a093adeff079e54ce83ffe1ff67809253806090d81a6a08203d633f97","observation_id":"808437cb-90ff-4fc2-8111-7b7f4ab20381","resolution":{"observed_at":"2026-08-15T19:22:27.844012Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:27.822988Z","title":"JSIS3D: Joint semantic-instance segmentation of 3D point clouds with multi-task pointwise networks and multi-value conditional random fields","venue":null,"work_id":"d025f0c8-758f-4736-b628-8befd5782a7e","year":2019},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.821109Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:4f34fd4d81bc5c9c96a91044da7800e73708c5b0c6058a394fc8a9db8c5b1ba5","observation_id":"55c19eed-8042-415f-a983-c2c14a3cbe8d","resolution":{"observed_at":"2026-08-15T19:22:27.828241Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:27.806871Z","title":"Estimating plot-level tree heights with lidar: local filtering with a canopy-height based variable window size","venue":null,"work_id":"59f490e6-e767-49cc-b11a-8a8671d76a7b","year":2002},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.826043Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:f5e9835ecd4c90d3b56a26c345c0eb49008921224a584148db0c502f95a0a577","observation_id":"78499b82-4aef-4740-856f-428103a189df","resolution":{"observed_at":"2026-08-15T19:22:27.812062Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.01279","last_updated":"2023-09-03T22:08:29Z","snapshot_observed_at":"2026-08-16T15:03:38.741190Z","submitted_at":"2023-09-03T22:08:29Z","title":"FOR-instance: a UAV laser scanning benchmark dataset for semantic and instance segmentation of individual trees","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.01279","snapshot_observed_at":"2026-08-15T19:22:26.831136Z","title":"FOR-instance: a UA V laser scanning benchmark dataset for semantic and instance segmentation of individual trees","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.831136Z"},"links":{"cited_paper":"/paper/2309.01279","citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:772bf9178d8077323c5f096d16df8f26c8565aac378c21312e62f84353ef3432","observation_id":"41efbc9c-884a-4bd1-88b4-4a55cad8f142","resolution":{"observed_at":"2026-08-15T19:22:26.831136Z","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":"2026-08-15T19:22:27.789709Z","title":"Qi, Li Yi, Hao Su, and Leonidas J","venue":null,"work_id":"0526ed62-1869-45ac-83c5-2fe57ea5d8e0","year":2017},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.836834Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:2c0e59167740ebc32a7215cb9155195af717c802a69fa6b10c17814fbe4caa3b","observation_id":"c74a4c1e-c7e1-4f4f-a51d-cc26f3d4bee1","resolution":{"observed_at":"2026-08-15T19:22:27.794996Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:27.772263Z","title":"Mask3D: Mask trans- former for 3D semantic instance segmentation","venue":null,"work_id":"8d543c08-8997-44f2-8c3a-95731258890c","year":2023},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.841875Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:e918dc2190e97d26cfb383d546552ce47311d386c9a16006df8bda214e489249","observation_id":"43e419c2-27ea-4e79-881f-e8293eb466a0","resolution":{"observed_at":"2026-08-15T19:22:27.777869Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:27.754676Z","title":"Spherical mask: Coarse-to-fine 3D point cloud instance segmentation with spherical repre- sentation","venue":null,"work_id":"a8b22fc1-faea-4e8c-bfac-390425952884","year":2024},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.847143Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:3a8e298a55fa1335306de96706a5b518ac4a120c0426f3fd5993d573a885940d","observation_id":"147fb449-a812-4748-94ab-197675cb4142","resolution":{"observed_at":"2026-08-15T19:22:27.760551Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:27.737414Z","title":"Instance segmentation of individual tree crowns with YOLOv5: A comparison of approaches using the ForIn- stance benchmark LiDAR dataset","venue":null,"work_id":"56c907c2-6896-4ed9-a9ee-cfb3be36156d","year":2023},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.852228Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:8a6f1bfa63e7145fe8cda8cf8441dc230dfb183a259c548633f809cd62a801f9","observation_id":"6dec3817-ae52-4096-ba50-877ae81cc60c","resolution":{"observed_at":"2026-08-15T19:22:27.742899Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:27.718559Z","title":"Individual tree crown segmentation and crown width extraction from a heightmap derived from aerial laser scanning data using a deep learning framework","venue":null,"work_id":"29c5b538-e5d9-4b54-9846-5f51a63ee8b6","year":2022},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.857763Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:0f9df7f82589d72aec70aa2a5e98eef11066a27ebd786eb39efad2da25201bd8","observation_id":"38a53e1a-6499-4840-8e18-0dc1206eac18","resolution":{"observed_at":"2026-08-15T19:22:27.724871Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:27.700111Z","title":"Superpoint transformer for 3D scene instance segmentation","venue":null,"work_id":"c28f3635-dfc4-4d36-b94c-83a5e41658e5","year":2023},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.862589Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:5e091112e49a3f8ed03beab0b1707ef4a098ad4c110807d10990c06426c82be7","observation_id":"978fddce-3827-4eec-8d40-a570a4003cd5","resolution":{"observed_at":"2026-08-15T19:22:27.706246Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:27.684110Z","title":"Qi, Jean-Emmanuel Deschaud, Beatriz Marcotegui, Franc ¸ois Goulette, and Leonidas Guibas","venue":null,"work_id":"78a7ad63-88f8-4d60-991b-db43ec2df4bc","year":2019},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.867740Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:ecf5dc82659d58e33f70398ce606588bff909ae72ba4e6633c8e7b08318d64d4","observation_id":"336cd33d-ca66-41a7-93eb-2d5c3fdc6a97","resolution":{"observed_at":"2026-08-15T19:22:27.689086Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:27.667294Z","title":"3D Forest: An application for descriptions of three- dimensional forest structures using terrestrial LiDAR","venue":null,"work_id":"f98a4b14-4ffb-4670-9503-426a4d1ee220","year":2017},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.873665Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:67e5f867ba5a600c886d6118c107e9ea45ae41c848ea6ded14809009362db61e","observation_id":"f3fb21b5-379b-4a5a-b165-84db1c943a3d","resolution":{"observed_at":"2026-08-15T19:22:27.672547Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:27.650716Z","title":"Vicari, Mathias Disney, Phil Wilkes, Andrew Burt, Kim Calders, and William Woodgate","venue":null,"work_id":"88e36318-c60a-4654-bf55-17ac68b461e6","year":2019},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.878914Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:c63ca2dcb35df13d5e4ecade74926df9a32368f7c3fb464682b4ec08b40977da","observation_id":"48309f5a-ece1-4c2c-b53e-9e3644746fec","resolution":{"observed_at":"2026-08-15T19:22:27.655958Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:27.631789Z","title":"Luu, Thanh Nguyen, and Chang D","venue":null,"work_id":"65a907d6-db27-40b6-8b61-82008770fc40","year":2022},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.884383Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:2be7a41dd8239ec6be5087442a493a12d09a9182c8c8071e85d34f7588741b3c","observation_id":"46ae3143-3805-4ee7-88b8-5684e82fdb48","resolution":{"observed_at":"2026-08-15T19:22:27.638958Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:27.613960Z","title":"A novel and effi- cient method for wood–leaf separation from terrestrial laser scanning point clouds at the forest plot level","venue":null,"work_id":"4a15754b-f6f2-4566-bc0c-c4e053f4c456","year":2021},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.889286Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:a478ef27edfa02f2cbee944f5daccf463d3ba83ff3ec906c2b2ecb21c0f82fe8","observation_id":"82920318-8f6f-448b-8404-cbe3fdfedd03","resolution":{"observed_at":"2026-08-15T19:22:27.619726Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:27.596733Z","title":"LeWoS: A universal leaf-wood classification method to facil- itate the 3D modelling of large tropical trees using terrestrial LiDAR","venue":null,"work_id":"e6b3adf0-4ba4-4287-8022-b9e552921453","year":null},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.895167Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:81a3b5498160f1aa61d4b308a5cbbfffcd451b0e5a04c7b8387353af8dbf3a27","observation_id":"493d5b8f-7b50-46ae-90cb-3eb9890c8033","resolution":{"observed_at":"2026-08-15T19:22:27.602419Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:27.579493Z","title":"Tree segmentation and parameter measurement from point clouds using deep and handcrafted features","venue":null,"work_id":"c39171fe-fd84-4247-9f2a-8a866281d8c9","year":2023},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.900209Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:bc92fcc004eb308f254b586a7f072ef78a5c802cee3e26bafeb3ea2df7c23bc0","observation_id":"53522e8f-a460-44a6-96f2-6a98eac3764c","resolution":{"observed_at":"2026-08-15T19:22:27.584765Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:27.562400Z","title":"SGPN: Similarity group proposal network for 3D point cloud instance segmentation","venue":null,"work_id":"b2e7ef0b-7e11-48eb-b69c-9a4813cf0082","year":2018},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.905027Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:48c86cb198f573c9134348112e49f4265d499c51e713f04070d5d73fdf602546","observation_id":"84c805b9-85ec-4364-9c1c-ad0ef543f3ce","resolution":{"observed_at":"2026-08-15T19:22:27.567835Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:27.541559Z","title":"Associatively segmenting instances and semantics in point clouds","venue":null,"work_id":"d2b92101-00b9-4de7-85cd-ec473f4246c9","year":2019},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.910692Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:e203f6fc3033489dfaa815f2f9d12758850d9912857905888cf2e78d1fcd8f12","observation_id":"b1259266-ff1e-415c-b7a5-922c26d07586","resolution":{"observed_at":"2026-08-15T19:22:27.549284Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:27.517900Z","title":"Point2Tree(P2T)—framework for parameter tun- ing of semantic and instance segmentation used with mobile laser scanning data in coniferous forest","venue":null,"work_id":"93de42a8-18de-4ef4-9e9d-f0cfcc7aec6a","year":2023},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.916182Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:c57b1df033ed2d56f25dc696b686d09480dab108cb28a871afab169499297248","observation_id":"cad27f2a-c85f-4914-9bf4-c18b15721845","resolution":{"observed_at":"2026-08-15T19:22:27.524720Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:27.498901Z","title":"SegmentAnyTree: A sensor and platform agnostic deep learning model for tree segmen- tation using laser scanning data","venue":null,"work_id":"5b84243f-e5b1-42a7-b28c-2aaf6f0c633d","year":2024},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.921683Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:f50ec07f811d1ced6c1a0ad2b37785a7581c1a546963e4a9799dbe0697cca490","observation_id":"1898e9ee-0e25-4d99-bf0f-65e5d056513c","resolution":{"observed_at":"2026-08-15T19:22:27.505188Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:27.479922Z","title":"TLS2trees: A scalable tree segmentation pipeline for TLS data","venue":null,"work_id":"5e883a9b-684e-4773-9fbc-f9e94c98c8a5","year":2023},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.926722Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:246acf9da36fce188f1627cccfa42dc35edcaf316289c834c39a198fb41f3640","observation_id":"5dc05991-a09e-4f9d-b5ed-c56447e4d920","resolution":{"observed_at":"2026-08-15T19:22:27.485753Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:27.462326Z","title":"Detection, segmentation, and model fitting of individual tree stems from airborne laser scanning of forests using deep learning","venue":null,"work_id":"67eef5c3-71a1-4ae7-a1b7-e83b55fcdbf9","year":2020},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.931934Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:30dddab7b12def87dd06f39af88cf9a3c455b929681ad5b0f87be6c6641d1ef9","observation_id":"a0f1a6f3-2f31-4da4-9e72-2660cbccea8d","resolution":{"observed_at":"2026-08-15T19:22:27.468031Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:27.445011Z","title":"Filter- ing stems and branches from terrestrial laser scanning point clouds using deep 3-D fully convolutional networks.Remote Sensing, 10(8):1215, 2018","venue":null,"work_id":"dc362411-f463-4938-8ebe-b198f5d900b5","year":2018},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.936907Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:a6edff9df621005e89f43fd3319295439d76990c03b817dc07699969b8de558d","observation_id":"4a4dc7b0-8f9a-4740-bfc7-55beb330f201","resolution":{"observed_at":"2026-08-15T19:22:27.450413Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:27.427914Z","title":"Towards accurate instance segmentation in large- scale LiDAR point clouds","venue":null,"work_id":"2882e586-b99c-46b8-8542-bd484caf5f46","year":2023},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.942213Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:d0abbb458ac25dd74efa2a30be860712a152d3e7ef57c4c6522349e7acd8b254","observation_id":"013c84da-d731-43d2-b9b8-9d1cba5b1fc3","resolution":{"observed_at":"2026-08-15T19:22:27.433106Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:27.410307Z","title":"Automated forest inventory: Analysis of high- density airborne LiDAR point clouds with 3D deep learning","venue":null,"work_id":"61551862-bb35-4de0-a101-c0ed34b7c8fe","year":2024},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.947183Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:7afb7f0a8dd04f831665c33f18950f2480f4a24da41890071576bfb89e25d97c","observation_id":"7e970b47-d771-4ecd-b0c7-2a978ba90851","resolution":{"observed_at":"2026-08-15T19:22:27.416359Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:27.392979Z","title":"Learning ob- ject bounding boxes for 3D instance segmentation on point clouds","venue":null,"work_id":"8425f2c2-d2a2-48ea-a883-b1aa254abd92","year":2019},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.952381Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:d46e9add6dd81a7f946a74d1e2d3894434b7cf69f22c902fe177292f64617bc5","observation_id":"5be667d2-73da-4616-b36d-335891416489","resolution":{"observed_at":"2026-08-15T19:22:27.398278Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2407.11564","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:22:27.134173Z","title":"SGI- Former: Semantic-guided and geometric-enhanced inter- leaving transformer for 3D instance segmentation","venue":null,"work_id":"056dbaad-a5b1-4834-9c8e-3fccbb43a7a0","year":2024},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.958215Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:599b9bda2cec6422522928f4728f6f3008911d5922f352915e1cdf7f61664f31","observation_id":"daa402f3-c100-4a5d-94a8-24a9bb0244b4","resolution":{"observed_at":"2026-08-15T19:22:27.146010Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:27.374636Z","title":"Yi, Wang Zhao, He Wang, Minhyuk Sung, and L","venue":null,"work_id":"e1bb31ce-cd1d-472f-bca0-1f62c006e44d","year":null},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.963991Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:b0aef15fc8f60134e635acb33f531144260462b835dc183d64eb9cc313367133","observation_id":"bbbdcfe8-fdc9-4a92-a14d-2b59bd4f9252","resolution":{"observed_at":"2026-08-15T19:22:27.379920Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:27.352686Z","title":"Torr, and Victor Prisacariu","venue":null,"work_id":"f629b1b1-114a-49d7-b938-7d59bcbe4bf4","year":2020},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.969633Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:2895d16b65c2cbc9f6e7db09321ef91a4bb95bcfe21044a1a4b3eaa31df6019c","observation_id":"cca7b25e-d3dd-44ad-9aed-1984d76078c0","resolution":{"observed_at":"2026-08-15T19:22:27.357777Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:27.333282Z","title":"To- wards intricate stand structure: A novel individual tree seg- mentation method for ALS point cloud based on extreme off- set deep learning","venue":null,"work_id":"e661a4ce-9809-4dae-8160-c82821f405b4","year":2023},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.975042Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:418a8efcd739e9294ffaefa2b65f7f342c25c592db8bc4d5c6cf5ffe3aa0a7b6","observation_id":"720dbc89-7c03-4c96-a942-f4e557f04e6f","resolution":{"observed_at":"2026-08-15T19:22:27.340753Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:27.310565Z","title":"MaskGroup: Hierarchical point grouping and masking for 3D instance segmentation","venue":null,"work_id":"509db09e-1217-462e-b422-a770c21bc8e7","year":null},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.981057Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:a7a88e1eeb79069ea8d6c4d0ff3e0830293811b2a0186ed25ad4a5129c8781b9","observation_id":"b40e6173-4f2a-44ea-bf40-6c0a2594e813","resolution":{"observed_at":"2026-08-15T19:22:27.316290Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:27.289323Z","title":"TreeStructor: Forest reconstruction with neural ranking","venue":null,"work_id":"9ea42ddb-ab38-4ff9-9f27-4f09a0fa7757","year":2025},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.986236Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:8b3ec8ba6951921124035b16ab37da80085eb6fe10eb59132813270d0568ea33","observation_id":"84163bf9-42cf-413a-8b90-ba419038c259","resolution":{"observed_at":"2026-08-15T19:22:27.297756Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T19:22:27.271220Z","title":"DETRs with collaborative hybrid assignments training","venue":null,"work_id":"e9d0fbdc-203d-47aa-a3d3-1821935529c1","year":2023},"citing_paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds","version":2},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-15T19:22:26.991971Z"},"links":{"citing_paper":"/paper/2506.16991"},"observation_digest":"sha256:6e9900fe8bee6652f4cc32eda77722294ca0102d84afdb36bb459eb11f960afd","observation_id":"5562a1a1-e8e6-409b-afc8-00dd2298b7c1","resolution":{"observed_at":"2026-08-15T19:22:27.276725Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.16991","last_updated":"2025-08-01T05:36:38Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-17T03:59:32.098935Z","submitted_at":"2025-06-20T13:39:27Z","title":"ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds"},"reference_resolution":{"displayed":71,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":3,"verified_fuzzy":64},"total_outbound_references":71},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 1 inbound Pith citation observation for arXiv:2506.16991."}