{"as_of":"2026-08-16T06:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:189b7a9d2bc790a176ec38483dcad557e66ce691f7e30e11221214570e5cf9ca","coverage":[{"denominator":124,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T12:21:14.253686Z","state":"measured"},{"denominator":100,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":100,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2608.05482/citation-record","integrity":"/paper/2608.05482/integrity","json":"/paper/2608.05482/citation-record.json","paper":"/paper/2608.05482"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:13.792585Z","title":"Pointdc: Unsupervised semantic segmentation of 3D point clouds via cross-modal distillation and super-voxel clustering","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.792585Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:50f9cf7f484c549fc2fa047c46a0e44309b5655fdbdfb8ab9c94f6e5f0e2e023","observation_id":"7d1b1ff3-6640-474f-8f8b-6c12d7ac4329","resolution":{"observed_at":"2026-08-08T12:21:13.792585Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:13.799480Z","title":"Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, and Matthias Nie ner","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.799480Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:d23b447e28d8ece8d47e9a315379e2d77746a310e62c2f2a4bc9fb1d47644369","observation_id":"bad02066-0d6a-4f7b-9d49-eb04cc21b8f2","resolution":{"observed_at":"2026-08-08T12:21:13.799480Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:13.804354Z","title":"Scancomplete: Large-scale scene completion and semantic segmentation for 3d scans","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.804354Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:2134a770226b36fb0627586cae9a5d8d6974fd645ec923cc30694a6430fb267b","observation_id":"733fb761-b208-4ce7-9bde-c7e8f945189c","resolution":{"observed_at":"2026-08-08T12:21:13.804354Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:13.809273Z","title":"Deep learning for 3d point clouds: A survey","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.809273Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:e495b112bfd8ce7c65228f3b8df509e56c15cecade6f07c63fce6b2670f530d4","observation_id":"b59f9258-827f-441b-9eb5-43a74e294471","resolution":{"observed_at":"2026-08-08T12:21:13.809273Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:13.814141Z","title":"Randla-net: Efficient semantic segmentation of large-scale point clouds","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.814141Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:5f930d135cd67f83323481d38c830dadfa5d10b3b93ac0869bac3184ea27623d","observation_id":"a435b445-b029-49db-a329-8ee041ec6261","resolution":{"observed_at":"2026-08-08T12:21:13.814141Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:13.818850Z","title":"2D gaussian splatting for geometrically accurate radiance fields","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.818850Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:7aa486ad13c23fb7ec71262c8edffccc5fd28217e8fc0508803e07db8b65901c","observation_id":"3222db1c-5ff6-4c58-b3ce-f83c2b2612dc","resolution":{"observed_at":"2026-08-08T12:21:13.818850Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:13.824127Z","title":"Neo 360: Neural fields for sparse view synthesis of outdoor scenes","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.824127Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:bd4f3cdd05f30dd73559ffed0d07747b1ab16c6ce5718a1f337239514f09a6c8","observation_id":"bccc9c90-71bb-4030-ac4f-634f9d40dbcd","resolution":{"observed_at":"2026-08-08T12:21:13.824127Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:13.828562Z","title":"Ultralytics yolo11, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.828562Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:672510813f9c9ece970461ead946e34a8e1e5a1a58232ab88daf80f6899af5c0","observation_id":"c0baa7c3-5d7a-45a5-9888-38c1ee93effc","resolution":{"observed_at":"2026-08-08T12:21:13.828562Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:13.838656Z","title":"Berg, Wan-Yen Lo, Piotr Dollar, and Ross Girshick","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.838656Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:7b832b5fc92d52a390a1c54910519c3762922d000cc9aaea3273850a67530e97","observation_id":"e3d3e59f-2780-43a5-a969-63ae229c6e37","resolution":{"observed_at":"2026-08-08T12:21:13.838656Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:13.843074Z","title":"Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.843074Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:2e35b9fee364996bf79653386e4523cd840fcb6733d11b20478f315e8383fb4c","observation_id":"437426b5-a7dd-4f2c-9aec-68c50c94b5e0","resolution":{"observed_at":"2026-08-08T12:21:13.843074Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:13.847498Z","title":"Meta architecture for point cloud analysis","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.847498Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:f998f582f724d8ef5bfa1000a3cac184ea6a1519a9e56a5611d54c70d9453377","observation_id":"4822a47f-d5eb-40e8-94a0-e054f68fb610","resolution":{"observed_at":"2026-08-08T12:21:13.847498Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:13.851842Z","title":"One thing one click: A self-training approach for weakly supervised 3d semantic segmentation","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.851842Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:2e5f18b5d41010a857ce7a3a0f3575fa4505172c5455c92a793e709f975e5d90","observation_id":"9bd86f7c-8563-44c6-a176-9343f8c23ce9","resolution":{"observed_at":"2026-08-08T12:21:13.851842Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:13.856150Z","title":"LUDVIG : Learning-free uplifting of 2D visual features to gaussian splatting scenes","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.856150Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:e67fd61f336c2ea1dbba25605403e8a57781858e7da982393e762fbce66f3132","observation_id":"70348846-01e3-4ef3-82df-bb1f1af091b1","resolution":{"observed_at":"2026-08-08T12:21:13.856150Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:13.860399Z","title":"DINOv2 : Learning robust visual features without supervision","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.860399Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:b059f0e12f011632c676d2f4e5bca625b670191f01c6740666cd291f7020b742","observation_id":"ce09268d-1309-4911-80c5-cf987b170904","resolution":{"observed_at":"2026-08-08T12:21:13.860399Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:13.869032Z","title":"Qi, Li Yi, Hao Su, and Leonidas J","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.869032Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:58091c1a9d53ffab91ec3f5c9d98f2932ffe652252127766efce030474560d1f","observation_id":"a87c26d3-2794-4055-973d-309141416182","resolution":{"observed_at":"2026-08-08T12:21:13.869032Z","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":"file/9318763","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:14.707294Z","title":"Pointnext: Revisiting pointnet++ with improved training and scaling strategies","venue":null,"work_id":"330f250e-5a6f-40c4-af0b-ab75e5b8c47a","year":2022},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.873286Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:e1488d21f363631aafee07802c0a63f25b69ee08a8c4045181a1fe5c25820be7","observation_id":"666a52fa-90f4-40db-9c3e-f7e4e0cf41ed","resolution":{"observed_at":"2026-08-08T12:21:14.715450Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:13.877502Z","title":"Langsplat: 3d language gaussian splatting","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.877502Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:119519acc1cdd83975cb8323e0690911a606146fd59df00187983fc1a1a6e22c","observation_id":"5285cd12-adba-4a07-80ee-4b7a11cfc3d7","resolution":{"observed_at":"2026-08-08T12:21:13.877502Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:13.881700Z","title":"Learning transferable visual models from natural language supervision","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.881700Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:a459d17268abac95f3adc774252f1cab5d5f966846db0d1434aa790984428226","observation_id":"4c515c30-a30f-4e4f-8761-f57c4b746eb4","resolution":{"observed_at":"2026-08-08T12:21:13.881700Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:13.885853Z","title":"SAM 2 : Segment anything in images and videos","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.885853Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:62463625ddb27eb21d878f51977fcda829d4cb3517becd727c35be46a36f1fd6","observation_id":"f678fe96-ae9b-4618-9d55-d88027694b5a","resolution":{"observed_at":"2026-08-08T12:21:13.885853Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/978-3-031-72670-5_26","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"FlashSplat : 2D to 3D gaussian splatting segmentation solved optimally","venue":"Lecture notes in computer science","work_id":"035accc1-c025-4650-abc0-d60d1a0f5a9c","year":2024},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.890337Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:eb5225c82a0709943ba824dd816909fe46692a67b20cf00768f1c4675f8cf0c8","observation_id":"3086ea49-c6ec-4f1b-9629-c8d788802ff9","resolution":{"observed_at":"2026-08-08T12:21:14.456743Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:13.894759Z","title":"Language embedded 3d gaussians for open-vocabulary scene understanding","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.894759Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:f420471f7c8a50cea0de20965b488ebf4ad5cafd353107dd6ace61ca97b8a1b2","observation_id":"6d67f0f1-aa28-4863-a40f-87714cd435f4","resolution":{"observed_at":"2026-08-08T12:21:13.894759Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:13.899026Z","title":"PointGS : Semantic-consistent unsupervised 3D point cloud segmentation with 3D gaussian splatting","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.899026Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:7f4457f57688dc2b56002686737c690400045af3eba35c0bd4d435905c04f7b1","observation_id":"4b33abee-fbee-4902-9e5d-8478e780180c","resolution":{"observed_at":"2026-08-08T12:21:13.899026Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.00259","last_updated":"2025-08-01T01:56:54Z","snapshot_observed_at":"2026-08-06T10:17:43.848394Z","submitted_at":"2025-08-01T01:56:54Z","title":"PointGauss: Point Cloud-Guided Multi-Object Segmentation for Gaussian Splatting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.00259","snapshot_observed_at":"2026-08-08T12:21:13.903276Z","title":"Zelek, and Jonathan Li","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.903276Z"},"links":{"cited_paper":"/paper/2508.00259","citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:69a00182a5bbe4b5d6cc63bd9d6e5067bf78d6cad66cfe65b4ed80856ac5f0cb","observation_id":"f97f73e3-f810-48a9-8528-d7d77acad17a","resolution":{"observed_at":"2026-08-08T12:21:13.903276Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:13.908516Z","title":"Contrastive boundary learning for point cloud segmentation","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.908516Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:1a0a6337703e9461f28780e57b8af266afd4e33749fbc80ea6f5b4badcae6a50","observation_id":"467dcffe-312a-4d62-8bfa-07b592603b7e","resolution":{"observed_at":"2026-08-08T12:21:13.908516Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:13.912837Z","title":"Point transformer v2: Grouped vector attention and partition-based pooling","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.912837Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:930be0eef200e3b69b5e87a0b3273a6ab7829f6e5a1f71b00666bf9c0495ddf6","observation_id":"7cb8ee91-6105-44be-94a1-7bb1e372b1d2","resolution":{"observed_at":"2026-08-08T12:21:13.912837Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:13.917224Z","title":"Point transformer v3: Simpler faster stronger","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.917224Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:a58970f3a4694d70b22336ee42020d997055e537a6ad58ad1dbe01f4a1e628ed","observation_id":"288f1054-00f9-4aea-b3ff-12fe314683d2","resolution":{"observed_at":"2026-08-08T12:21:13.917224Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:13.921697Z","title":"Pointcontrast: Unsupervised pre-training for 3d point cloud understanding","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.921697Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:b7745060f7919914c6dfe6bd813694800b1c9528380e1ff1930a78f1032d91e6","observation_id":"e32905e8-01af-4800-831e-e113657c81a2","resolution":{"observed_at":"2026-08-08T12:21:13.921697Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:13.926074Z","title":"3d weakly supervised semantic segmentation with 2d vision-language guidance","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.926074Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:735371fca922051d76d3ccc34269352024fbb237446dcb50db080cac97acd321","observation_id":"183954b6-ce1b-43da-8575-4ea3c1792a34","resolution":{"observed_at":"2026-08-08T12:21:13.926074Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:13.930670Z","title":"Gaussian G rouping: Segment and edit anything in 3D scenes","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.930670Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:d25de829586b74fd25d05a064be9a9bccb9578e7d579f6ebe761223e2212e189","observation_id":"a92540c1-fde3-4bde-87b9-ba89e380b82a","resolution":{"observed_at":"2026-08-08T12:21:13.930670Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:13.935402Z","title":"Feature 3DGS : Supercharging 3D gaussian splatting to enable distilled feature fields","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.935402Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:870a1c3a51354564dd5f1bae338a0b31ab7beb9eaa0f088873347060013a3178","observation_id":"bba0a1ea-76a9-4b9b-ab51-2ed476e69e3b","resolution":{"observed_at":"2026-08-08T12:21:13.935402Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:13.939961Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.939961Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:03efb59dc677531f25a831e98c3aadf6959b20979f5dcda31b50ab4f6cd36000","observation_id":"2d88ad16-c5aa-464c-bb88-28a8593abc80","resolution":{"observed_at":"2026-08-08T12:21:13.939961Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:13.945024Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.945024Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:441720e76b55247cf44f4b22f030b6f3d488985a9b924666c18f7bf697a70658","observation_id":"d9d24348-a11e-4c63-9603-7a0a578e0622","resolution":{"observed_at":"2026-08-08T12:21:13.945024Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:13.949690Z","title":"Journal of Foo , volume = 13, number = 1, pages =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.949690Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:f6f43f35fddf867023a72fdcdc8594b4a235b61dafea99eb6cf966c455d80f4a","observation_id":"167e0b80-c0e1-4a0d-9cf4-f0265d0cf03f","resolution":{"observed_at":"2026-08-08T12:21:13.949690Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:13.954420Z","title":"Journal of Foo , volume = 14, number = 1, pages =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.954420Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:25e3b88924d55d14ad5bb0a2e3cbcb330649aa0bebcba63472c43f02d98c18a5","observation_id":"2852ea96-449f-443e-a556-53ceab139c56","resolution":{"observed_at":"2026-08-08T12:21:13.954420Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:13.958931Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.958931Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:cfe98086d030b1116cb102a4634dadcd25423aa09a20984e82388a01980b3896","observation_id":"ffac0ec7-75f1-4d53-8c79-513f0b915983","resolution":{"observed_at":"2026-08-08T12:21:13.958931Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:13.963494Z","title":"KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.963494Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:be6ef82b8528684716560ebd8c96a96912fceca4e1ae995333abce319ee88097","observation_id":"4374bcaf-25a4-450e-95bf-2b53802e92a3","resolution":{"observed_at":"2026-08-08T12:21:13.963494Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:13.968357Z","title":"OneFormer: One Transformer to Rule Universal Image Segmentation , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.968357Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:f1eb52d5128b67235ee40532c19515213f9170789a09d20c71cd2e70263665fc","observation_id":"09aeff00-7a49-44a2-8baf-f93607595dba","resolution":{"observed_at":"2026-08-08T12:21:13.968357Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:13.972869Z","title":"2024 , url =","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.972869Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:691552c2a0c2b7f1c307a6fe9caca6c22510896c8070776576a4bf0f8c5c33f2","observation_id":"00b6b2d4-73f9-4658-aacb-93f2225ca7fd","resolution":{"observed_at":"2026-08-08T12:21:13.972869Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.13616","last_updated":"2024-02-29T03:43:24Z","snapshot_observed_at":"2026-08-13T04:13:54.945776Z","submitted_at":"2024-02-21T08:42:53Z","title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.13616","snapshot_observed_at":"2026-08-08T12:21:13.977466Z","title":"arXiv preprint arXiv:2402.13616 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.977466Z"},"links":{"cited_paper":"/paper/2402.13616","citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:55a0272fd7c037e9332dcfb50e548d85635e40a351e0f93895a7759e3d89783d","observation_id":"d1f42653-099e-42ae-8721-48aedc272bd3","resolution":{"observed_at":"2026-08-08T12:21:13.977466Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2207.02696","last_updated":"2022-07-06T14:01:58Z","snapshot_observed_at":"2026-08-13T15:09:35.261688Z","submitted_at":"2022-07-06T14:01:58Z","title":"YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.02696","snapshot_observed_at":"2026-08-08T12:21:13.982576Z","title":"arXiv preprint arXiv:2207.02696 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.982576Z"},"links":{"cited_paper":"/paper/2207.02696","citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:ca046c404cef2cd45e8b55a3684095de39afcc46261b33882cc7db6a79607b5e","observation_id":"2c75803d-61fa-4159-bcdc-bf03429ab526","resolution":{"observed_at":"2026-08-08T12:21:13.982576Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:13.988008Z","title":"2023 , eprint=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.988008Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:1899b74b89673a7c151fefccf90f7764582769c5f12620ee0a07a52efe69e3eb","observation_id":"1502056f-7c92-49d5-baca-c9b9eea87a1a","resolution":{"observed_at":"2026-08-08T12:21:13.988008Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:13.992915Z","title":"Deep Learning for 3D Point Clouds: A Survey , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.992915Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:f3daa52a08b49c652d89321fe1d5b168d5ee26c9f835cb48aab0f0cc5e4846f1","observation_id":"dad3b996-b761-4306-a555-4e9b9b0f4e1d","resolution":{"observed_at":"2026-08-08T12:21:13.992915Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:13.997372Z","title":"Foundation Models Defining a New Era in Vision: A Survey and Outlook , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:13.997372Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:e4e451b18d0f3753cbf1f913855d905841566ce58c136cd873ca8ca7f5e41426","observation_id":"474e4de7-e444-486c-872b-841a4ca7bfb2","resolution":{"observed_at":"2026-08-08T12:21:13.997372Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:14.001908Z","title":"2024 , eprint=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.001908Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:f750a20a94712e823762b5080610989668cd63b659fff139e37151786fa966b0","observation_id":"93e57db2-a961-40e0-83af-fd4fe33881d0","resolution":{"observed_at":"2026-08-08T12:21:14.001908Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.2312/3dor.20171047","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"and Saux, B","venue":"Eurographics","work_id":"fb2952f3-10ca-48f1-9796-35a314521783","year":2017},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.006858Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:a80da1f0e6694659a343db301d404c9d59c2bfbe83bde2ed47914c5ac7513852","observation_id":"1c70afd3-afb7-4666-b664-21dfa5ccd2fa","resolution":{"observed_at":"2026-08-08T12:21:14.441129Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:14.011720Z","title":"Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.011720Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:1f8c195a5c468a18c75c3d61c2a32cbd57b04d0820b142ea2685ec9480e794df","observation_id":"d0ea8940-f15c-47c0-a1c1-c48538677f69","resolution":{"observed_at":"2026-08-08T12:21:14.011720Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:14.016922Z","title":"Proceedings of the IEEE conference on computer vision and pattern recognition , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.016922Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:ed532f69cd3664dd4a40d1391f0a22751d4cddcbcca7ee9f09c2a486ff2b58fb","observation_id":"ee9588d1-ca14-4342-ad51-95f80b6cd68d","resolution":{"observed_at":"2026-08-08T12:21:14.016922Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:14.022247Z","title":"2018 IEEE international conference on robotics and automation (ICRA) , pages=","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.022247Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:20dfc32da425561b9d93d5bb7314b9b35840fcca681e5543eabd0849c2849730","observation_id":"61aedbd1-96c8-4d28-b6b7-53f8bca9ecd2","resolution":{"observed_at":"2026-08-08T12:21:14.022247Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:14.026964Z","title":"2019 , volume=","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.026964Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:9c7289cd62fc4a7a6bb21b0053d180c89786d04b55e0bf60df3f0931df14baf2","observation_id":"699ee6c8-00af-444b-9f7a-30905e37397b","resolution":{"observed_at":"2026-08-08T12:21:14.026964Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:14.031557Z","title":"Learning Multi-View Aggregation in the Wild for Large-Scale","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.031557Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:9151a554098992f5385dee1a31123e9bda4629e9309914c972b970b5549baa5a","observation_id":"c5cb883d-34d5-4c8c-b707-eff2ed0c96ba","resolution":{"observed_at":"2026-08-08T12:21:14.031557Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:14.036188Z","title":"Exploiting Multi-Layer Grid Maps for Surround-View Semantic Segmentation of Sparse","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.036188Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:c8d37727768835128c185b70d6eba7d6cd7a03d5ab6064ed9a73ccff9aa2ba20","observation_id":"656ea685-be18-4a49-88c6-7a63d50232ce","resolution":{"observed_at":"2026-08-08T12:21:14.036188Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:14.040673Z","title":"ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.040673Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:8125e08f9aedf3e57025286182a9f6ae0366c4161680ba7fbf4b64e487271d57","observation_id":"a946024e-580b-4da6-a1da-e2de0956f72e","resolution":{"observed_at":"2026-08-08T12:21:14.040673Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:14.045260Z","title":"PointGrid: A Deep Network for 3D Shape Understanding , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.045260Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:611b4da1b5ee9849aac1168592867a659858147c6c257a8002fc0afdce043dd5","observation_id":"238f09cb-4fdd-4e52-b8d4-d804c9c7b44a","resolution":{"observed_at":"2026-08-08T12:21:14.045260Z","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":"2022.11881","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:14.798830Z","title":"PCSCNet: Fast 3D semantic segmentation of LiDAR point cloud for autonomous car using point convolution and sparse convolution network , journal =","venue":null,"work_id":"36be97ad-485a-4cf8-8c4a-5f1c5e8aec23","year":2023},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.049720Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:6d4ac2120b1ce9e5e2950bc3ff1bf941220a0b09acd7d63d6aea2c9d94dea6b0","observation_id":"1fb49eca-1dd9-4272-9e5b-b113ff9d2acd","resolution":{"observed_at":"2026-08-08T12:21:14.806329Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:14.054119Z","title":"SpSequenceNet: Semantic Segmentation Network on 4D Point Clouds , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.054119Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:af613499877dcd6d2c3b46f136c50c15ab153a5c8e855a16f8aad1ebc0aa224e","observation_id":"b34894a1-9dc7-4748-8117-6296ea66b35e","resolution":{"observed_at":"2026-08-08T12:21:14.054119Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:14.058818Z","title":"SIEV-Net: A Structure-Information Enhanced Voxel Network for 3D Object Detection From LiDAR Point Clouds , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.058818Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:a92bf9d60473e9f828eef099609476044adea72e13c2e7e7078bf5a3ab56a93b","observation_id":"67328d26-bb15-4e83-8dcf-c13b58295e9e","resolution":{"observed_at":"2026-08-08T12:21:14.058818Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:14.063015Z","title":"Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) , month =","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.063015Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:b630541a37ff3df281a801591ab8787148087329869f6347abd7d79f1dfc742b","observation_id":"b077a365-2ada-4ed8-8f34-bfb9874076d2","resolution":{"observed_at":"2026-08-08T12:21:14.063015Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:14.067176Z","title":"and Yi, Li and Su, Hao and Guibas, Leonidas J","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.067176Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:01556bd946e123cb8923c7251f18dc31fdb083454fcdc61961c686dae660a371","observation_id":"e921a78a-3cbb-4140-b109-a736be6ec59a","resolution":{"observed_at":"2026-08-08T12:21:14.067176Z","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":"2026-08-08T12:21:16.182254Z","title":"Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=","venue":null,"work_id":"e9720f21-565b-4b17-ab85-61fd52124727","year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.071491Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:780eb9be59a5184043c6eb10711fdaad721bb0e5a02c42cfdff70c204f9da261","observation_id":"28cc033d-59c2-4013-a825-3362b4659f30","resolution":{"observed_at":"2026-08-08T12:21:16.186985Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-08T12:21:16.166622Z","title":"IEEE Transactions on Geoscience and Remote Sensing , volume=","venue":null,"work_id":"d4308a83-dc46-4e7b-a1d2-3f54742e817c","year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.075810Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:de934c10a94a64b39ee5f659ef54e0d7b2f9b11d81c38e4fde98936b6fa69a3a","observation_id":"b211a8d4-fd93-470f-9aba-2e5658712869","resolution":{"observed_at":"2026-08-08T12:21:16.171224Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-08T12:21:16.151909Z","title":"Advances in Neural Information Processing Systems , volume =","venue":null,"work_id":"557799cc-0fe6-4f4c-b3ef-92b0a352b79c","year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.080215Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:44d355af518e02db9a58bf56a20c3a1a99ad07e610d2deee02274269f3c513d6","observation_id":"e6df3fff-91f2-42a3-8535-d9e3042cff40","resolution":{"observed_at":"2026-08-08T12:21:16.156570Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-08T12:21:16.136717Z","title":"3DGTN: 3-D Dual-Attention GLocal Transformer Network for Point Cloud Classification and Segmentation , year=","venue":null,"work_id":"cb97c372-aee8-4ea8-9cea-ccb0313d4e23","year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.084669Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:fb2e976d1a15086ee75916a2e4ae8ba423d6d6992aae59bf9a16fc039bf308f6","observation_id":"b9d1c830-5ce1-49da-853f-ba71b50e32ec","resolution":{"observed_at":"2026-08-08T12:21:16.141703Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-08T12:21:16.121099Z","title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , pages=","venue":null,"work_id":"0f3f3503-b6e6-4a7b-a18d-69375fa918d0","year":2017},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.089077Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:704c33eb7221942f68784d7d0a225cee82bee6647aaed5f2e49c040ba1129e6a","observation_id":"7f471afa-8bf8-44a9-a000-051773491650","resolution":{"observed_at":"2026-08-08T12:21:16.126342Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-08T12:21:16.106722Z","title":"The Thirteenth International Conference on Learning Representations , year =","venue":null,"work_id":"35b7faaf-359b-4d4b-b875-d230f6f9b8db","year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.094521Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:d6578e74c4b66ea7261d6882a2ef25492fb9949b3f45db9547774a27833803ef","observation_id":"50e35917-49cf-4bf8-b2c0-e8dcb108f625","resolution":{"observed_at":"2026-08-08T12:21:16.111318Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:14.098937Z","title":"and Lo, Wan-Yen and Dollar, Piotr and Girshick, Ross , title =","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.098937Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:dc0c2b859cbecaa6ef394d98c066398f8329a0210ab2743d1421c352181b700c","observation_id":"473375e6-6a2c-41df-b4f6-b656af1dbe37","resolution":{"observed_at":"2026-08-08T12:21:14.098937Z","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":"2026-08-08T12:21:16.081704Z","title":"Change Detection between Optical Remote Sensing Imagery and Map Data Via Segment Anything Model (SAM) , year=","venue":null,"work_id":"414e98f6-a086-42fa-b405-1c9512351168","year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.103279Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:a53d23aa3127feaa5ea3902baa1bcda1dd5d6af98b49f35f4ba716d927b9bc24","observation_id":"82797a0d-1137-4825-bea4-ec1274fb3dab","resolution":{"observed_at":"2026-08-08T12:21:16.086517Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-08T12:21:16.066301Z","title":"and Hiremath, Manjunatha , booktitle=","venue":null,"work_id":"9fdb2a71-f5d1-43d9-b769-94c9b15918f4","year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.107586Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:d3ae7b40b2568af1780d45b56dfb29b9256df7a203b14a6c302bcbc90056061d","observation_id":"132b6725-b7b0-4845-8cd1-b32530b4c1e6","resolution":{"observed_at":"2026-08-08T12:21:16.071097Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-08T12:21:16.050723Z","title":"SAM-I2I: Unleash the Power of Segment Anything Model for Medical Image Translation , year=","venue":null,"work_id":"1dc2cf4f-7056-413e-8cfe-5514081404ba","year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.111968Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:7eaa3878aa4a825264dd5d7e554422b6ff074cc34ea3d71fbba25fa648d89d61","observation_id":"d38d8bc0-a7a6-4d90-bbad-b695e8f6ec46","resolution":{"observed_at":"2026-08-08T12:21:16.055954Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-08T12:21:16.033776Z","title":"Spatio-Semantic Prompt guided Adaptive Segment Anything for Remote Sensing Change Detection , year=","venue":null,"work_id":"79a4ea66-f7c2-4261-9468-9fd5bc252987","year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.116456Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:fdd63d7c938c52fe942148b888a7c9ab1825b4ef1e2777b65111fb106f395292","observation_id":"6ab9c44b-d0b2-427c-8f8d-c8aef9dcb140","resolution":{"observed_at":"2026-08-08T12:21:16.039075Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-08T12:21:16.016767Z","title":"2024 , issn=","venue":null,"work_id":"f25d377d-8438-4a14-b392-21499ff983a5","year":2024},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.120991Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:47ca7213d81ee0466900ed74c339440b7bb5d2b88e90b1a10a67c18a06b92105","observation_id":"2e08d91a-093f-40be-88be-66adbc9ec676","resolution":{"observed_at":"2026-08-08T12:21:16.022047Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-08T12:21:15.999761Z","title":"BrainCrossFed CNN Model for Alzheimer Classification using MRI data and Comparison and Benchmarking proposed model with DINOv2 and ExplainableAI using GradCAM , year=","venue":null,"work_id":"a98ed150-56ba-4043-8f8c-16762e53824f","year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.125485Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:d523950d8f55ca0294480e25933375aeb4c88ef0dd50faed01ea5fda28037722","observation_id":"d8290579-a5ac-4fc5-8904-72ec4822a921","resolution":{"observed_at":"2026-08-08T12:21:16.005654Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-08T12:21:15.984029Z","title":"DINOv2 Based Self Supervised Learning for Few Shot Medical Image Segmentation , year=","venue":null,"work_id":"70917094-c198-43c6-ad60-1b7d75743340","year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.130346Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:967e44ee7fb3d61f2bd26ddb6abd2e5524a0114d6fbd19bdfcaff2470845810a","observation_id":"8cab8af2-c047-4b20-9ae8-8fcc373d4a7e","resolution":{"observed_at":"2026-08-08T12:21:15.988979Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-08T12:21:15.969187Z","title":"DINOv2-Based UAV Visual Self-Localization in Low-Altitude Urban Environments , year=","venue":null,"work_id":"e7ca075e-41ff-4bc6-8cde-eb424ab9ced4","year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.134888Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:30e79104162ee1763be0530fa109497546e7745e5506d4bc9cce08fedd1e5c55","observation_id":"c49b6c34-113f-4bfb-989a-d383b1da6499","resolution":{"observed_at":"2026-08-08T12:21:15.973868Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-08T12:21:15.954180Z","title":"SegGPT: Towards Segmenting Everything In Context , year=","venue":null,"work_id":"82bd1c3a-4d26-435e-98bd-900f2363d4f6","year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.139246Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:c761e70d3b43e6379610c75ded76515e5e5008f497d654bc61d7ce3efa70438f","observation_id":"3f5e19e3-aaa4-46fa-810c-bd25f384d041","resolution":{"observed_at":"2026-08-08T12:21:15.959037Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:14.143521Z","title":"Proceedings of the 38th International Conference on Machine Learning , pages=","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.143521Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:4f4b6af6aba64e869d6d0f6f99148dfb2d2607eb17f439f37fec332fa6e000b1","observation_id":"b67f5003-9247-452b-9e8c-ac693304f689","resolution":{"observed_at":"2026-08-08T12:21:14.143521Z","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":"2026-08-08T12:21:15.928961Z","title":"ACM Transactions on Graphics , month = dec, articleno =","venue":null,"work_id":"b417ceb5-9896-4955-9d65-ee3f94b3def4","year":2024},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":78,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.147863Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:ae308464a7e8563ee65bf49b3003f8d88fa21e813a55fcb95192308907c873d7","observation_id":"800333e7-d94f-4627-904a-ed2da49a91e6","resolution":{"observed_at":"2026-08-08T12:21:15.934017Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-08T12:21:15.913396Z","title":"MVSplat : Efficient 3D Gaussian Splatting from Sparse Multi-view Images","venue":null,"work_id":"70e843bc-5957-4cc4-81a2-316a1a6f0d3c","year":2025},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":79,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.152284Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:edde2f050024f462a00eaec0e659300da9241d7c2dbd3772365f5d31c2db6c59","observation_id":"381d1518-09b0-4ba4-bc1f-1db7cbdec2dd","resolution":{"observed_at":"2026-08-08T12:21:15.918253Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:14.156590Z","title":"DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":80,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.156590Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:f915a798d87696df861c1cc26da7b8b383c4ea7f5b33220c27e60c1c126c6ec1","observation_id":"688a1efa-19c3-4a9d-a95b-871d24f86603","resolution":{"observed_at":"2026-08-08T12:21:14.156590Z","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":"2026-08-08T12:21:15.888149Z","title":"FSGS: Real-Time Few-Shot View Synthesis Using Gaussian Splatting","venue":null,"work_id":"4eb5bdb6-5e29-4ea1-bec0-81d814c869a5","year":2024},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":81,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.160925Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:35d46a993703b56ee827b7e3b95ce65ed3b28d1e2d99564be8436284ab3cebcb","observation_id":"555fa446-90cb-4135-8a3f-c34d9543b8eb","resolution":{"observed_at":"2026-08-08T12:21:15.893706Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:14.165695Z","title":"PixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.165695Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:36b19dee4ee9fc44b829464f1d5c53b1725af4266813d0e536d11d2a87076df8","observation_id":"83e73b1a-91ec-47fc-87d1-71e986231e5b","resolution":{"observed_at":"2026-08-08T12:21:14.165695Z","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":"2026-08-08T12:21:15.863774Z","title":null,"venue":null,"work_id":"d70ac3a4-0dcb-47aa-8210-48f15283fc24","year":2024},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":83,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.170158Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:bbfc39eb98f13b19070f731b194c718b1d676c8f5bc5423cd6c1625ee123450f","observation_id":"cccc7bdf-8706-4de2-be6e-56c61343d874","resolution":{"observed_at":"2026-08-08T12:21:15.868535Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:14.174467Z","title":"Compressed 3D Gaussian Splatting for Accelerated Novel View Synthesis , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":84,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.174467Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:9cbe0d68ff5d57d592fc3c3b0303ec13c84350933d40898a63e41a1f3f55cf2c","observation_id":"b07b3697-4216-4ee2-bfba-13f9e84234de","resolution":{"observed_at":"2026-08-08T12:21:14.174467Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:14.178790Z","title":"GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":85,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.178790Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:ee11815b526a770739147b5f4ff1d20a178f8d2fedc51ee333cb165aa367fd05","observation_id":"cbe23d69-d542-498b-9673-e6ab446b374d","resolution":{"observed_at":"2026-08-08T12:21:14.178790Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:14.183224Z","title":"Mip-Splatting: Alias-Free 3D Gaussian Splatting , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":86,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.183224Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:5d003e9805a96e8bcb6a3060e5288083a500b97896b63a1ce8ac2d474c4a42f7","observation_id":"0a70dfa8-7703-4567-b21d-914c3398be07","resolution":{"observed_at":"2026-08-08T12:21:14.183224Z","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":"2026-08-08T12:21:15.820410Z","title":"Multi-Scale 3D Gaussian Splatting for Anti-Aliased Rendering , year=","venue":null,"work_id":"118537d3-89bd-45cd-8457-9882505574d7","year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":87,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.187539Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:8a7b5479de95a201f2ca955dda3190f715a97b3846166896256ad965b5adbc0b","observation_id":"cfb52262-2082-4a02-8a3e-8ee3087f01a4","resolution":{"observed_at":"2026-08-08T12:21:15.825180Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-08T12:21:15.805124Z","title":"GaussianShader: 3D Gaussian Splatting with Shading Functions for Reflective Surfaces , year=","venue":null,"work_id":"20fc4a35-1755-4b5c-b132-c4731a556d9a","year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":88,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.191936Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:8f66c7b2da855d057fe0aac0b8a26edecbb3640e9327a6c2fe620a27365fd4e8","observation_id":"d02d1109-e64c-4bcf-96af-77a79c6fdfef","resolution":{"observed_at":"2026-08-08T12:21:15.809703Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-08T12:21:15.790707Z","title":"Gaussian Shadow Casting for Neural Characters , year=","venue":null,"work_id":"5ab48a77-6802-4a49-81ea-b21f36c4d11e","year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":89,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.196186Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:ae341fd0e51a2f41cea26e96a3e54fe56b6cc488a4b388cb496b7c41aaa4120b","observation_id":"359c11a4-3a16-4fd7-b6c0-b4ed3816398b","resolution":{"observed_at":"2026-08-08T12:21:15.795466Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-08T12:21:15.776881Z","title":"2024 , booktitle =","venue":null,"work_id":"a9606959-4a79-4104-a28b-4c6cd98ca9fe","year":2024},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":90,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.200870Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:5c7b8b664ca970a1c6dd5cc0352f25f76691f622842b052cb47d4832b8ad862b","observation_id":"8198161e-e33a-421c-8b70-10115cba843c","resolution":{"observed_at":"2026-08-08T12:21:15.781324Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-08T12:21:15.762657Z","title":"2024 , volume=","venue":null,"work_id":"aa1048dd-2725-4b3a-873d-c146d91e106f","year":2024},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":91,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.205410Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:4decae7f91560c8289bed0b8dad7b1503074da75635ad4626b6cdecb19e4a389","observation_id":"f726d5f3-6b5d-4aff-a5ae-f748711297c0","resolution":{"observed_at":"2026-08-08T12:21:15.767180Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-08T12:21:15.747891Z","title":", booktitle=","venue":null,"work_id":"ba9c0aa0-ff93-4989-b00d-ee4c28418413","year":2024},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":92,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.209827Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:b23cf115b47bf6086449d8fde77c0601d210bf03c079c7c2b942c1255bbd9b7f","observation_id":"390e6127-4427-4f01-a0bb-4f856f7f6427","resolution":{"observed_at":"2026-08-08T12:21:15.752500Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:14.214318Z","title":"FreGS: 3D Gaussian Splatting with Progressive Frequency Regularization , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":93,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.214318Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:a03d0370bb1c823583549d6a30ced794213d89824ea499a71ba9a628fda632f5","observation_id":"4f2a2671-8d1a-4f15-a54c-7dca50e04d4d","resolution":{"observed_at":"2026-08-08T12:21:14.214318Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:14.218609Z","title":"Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":94,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.218609Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:a9e5d6c116760bee74a9127b4e6de01ccb14152fd7c911ccb3ad3aa6d8df4f05","observation_id":"44bf2c64-6b00-4991-b8d1-e2acaa39c8f7","resolution":{"observed_at":"2026-08-08T12:21:14.218609Z","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":"2026-08-08T12:21:15.713689Z","title":null,"venue":null,"work_id":"4fe095ae-4a18-49f5-bd84-a9523479978e","year":2024},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":95,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.222929Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:4c90f9fb0924e4bdd579d72177830e7ed73955da54a6cefe3cae1ffdbd704d49","observation_id":"54ae995c-eac7-4b00-8b36-8b874fce4f38","resolution":{"observed_at":"2026-08-08T12:21:15.718417Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-08T12:21:15.698790Z","title":"Gaussian G rouping: Segment and Edit Anything in 3D Scenes","venue":null,"work_id":"b133a69d-85b4-4636-910a-7f44bf939958","year":2024},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":96,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.227232Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:38de9a6d922edbd10a29b61deb6d78947354a2681937a24888ba68f4d88b4771","observation_id":"45d97fe0-450e-49c4-9705-aee11816b23e","resolution":{"observed_at":"2026-08-08T12:21:15.703494Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-08T12:21:15.683529Z","title":"Language Embedded 3D Gaussians for Open-Vocabulary Scene Understanding , year=","venue":null,"work_id":"11fcbd7d-7599-413e-b808-61670909d2e2","year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":97,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.231576Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:fc8ea65f0f9294aba6c8ae8490a7d7766ad3bb4c87fe95236da843ba78c2b3fb","observation_id":"90d4d498-d215-467c-b358-85481b10b2d7","resolution":{"observed_at":"2026-08-08T12:21:15.688980Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-08T12:21:15.668836Z","title":"LangSplat: 3D Language Gaussian Splatting , year=","venue":null,"work_id":"fa6d208f-07c7-4570-a5fe-b828ea774d30","year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":98,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.236100Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:586a59c19c50ad8476c20ce6c1eaec3e6874613fbce6021ce8399119582f6c71","observation_id":"4df03d29-1b04-4a2e-8d5f-83b7f73afe93","resolution":{"observed_at":"2026-08-08T12:21:15.673582Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-08T12:21:15.654548Z","title":"Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction , year=","venue":null,"work_id":"9ff60aa2-dea2-4190-b634-15efef473d36","year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":99,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.240441Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:124e6649be53925e5c3e5e9da08d1369bec2cbbc56545bd38ed2686d1c92165c","observation_id":"8e2158b6-5356-46d6-a54f-006fcea2eb0c","resolution":{"observed_at":"2026-08-08T12:21:15.659230Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:21:14.244867Z","title":"4D Gaussian Splatting for Real-Time Dynamic Scene Rendering , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":100,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.244867Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:883f2c7676d75df117e27e45af65b57b4748af8934618f48754216199880767b","observation_id":"737959a8-6a31-4a60-9306-1fd4eef099a5","resolution":{"observed_at":"2026-08-08T12:21:14.244867Z","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":"2026-08-08T12:21:15.630573Z","title":"Gaussian Head Avatar: Ultra High-Fidelity Head Avatar via Dynamic Gaussians , year=","venue":null,"work_id":"39826924-786a-4b27-86e4-9dfcccae9557","year":null},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":101,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.249285Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:02e336bd29b33fc1864c52f25902f785260d96f161660734c74a597115a22f5b","observation_id":"6dce0236-e3f1-47d7-bb74-822f26cea115","resolution":{"observed_at":"2026-08-08T12:21:15.635037Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-08T12:21:15.617300Z","title":"ACM Trans","venue":null,"work_id":"6a2bf917-6b28-4d1c-a97e-40ccc8c67c50","year":2024},"citing_paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer","version":1},"reference_index":102,"source":"arxiv_source","source_observed_at":"2026-08-08T12:21:14.253686Z"},"links":{"citing_paper":"/paper/2608.05482"},"observation_digest":"sha256:e9b3840d56d7b2ba69c206e816da181cd6cd001f6d65b76f44f8ba1cc867e312","observation_id":"73a8be01-15c9-48d0-b760-899d28f8f0fb","resolution":{"observed_at":"2026-08-08T12:21:15.621612Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2608.05482","last_updated":"2026-08-06T00:07:40Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-15T04:32:24.540055Z","submitted_at":"2026-08-06T00:07:40Z","title":"CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":66,"verified_exact":3,"verified_fuzzy":30},"total_outbound_references":124},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 100 of 124 outbound references and 0 inbound Pith citation observations for arXiv:2608.05482."}