{"as_of":"2026-08-05T02:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d7284d2d1d1469653ce9db4dd7b4a8994138e04f4a0456af514bc4e9df550231","coverage":[{"denominator":59,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":59,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-30T13:44:41.461355Z","state":"measured"},{"denominator":59,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":59,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-04T06:34:03.388597+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/2605.24403/citation-record","integrity":"/paper/2605.24403/integrity","json":"/paper/2605.24403/citation-record.json","paper":"/paper/2605.24403"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T01:05:49.678462Z","title":"SATR: Zero-shot semantic segmentation of 3D shapes","venue":null,"work_id":"0625d96a-9e0d-4431-b6bc-efdb24b4d4b3","year":2023},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:1820f5f93d95d3100b2d9a45b60b41d4ef6941241418f0617172a0d1c9af07ab","observation_id":"cfecd367-13cf-4533-85d3-72bf0d4addbf","resolution":{"observed_at":"2026-07-09T01:05:49.679607Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.06785","last_updated":"2025-01-12T11:46:07Z","snapshot_observed_at":"2026-08-01T15:51:02.509464Z","submitted_at":"2025-01-12T11:46:07Z","title":"3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes","version":1},"cited_work":{"arxiv_id":"2501.06785","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.06785","snapshot_observed_at":"2026-06-30T13:54:44.270335Z","title":"3DCoMPaT200: Language-grounded composi- tional understanding of parts and materials of 3d shapes","venue":null,"work_id":"9b2eac73-60ed-4721-b874-ab7a955bea90","year":2025},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"cited_paper":"/paper/2501.06785","citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:4f006ff5d86428745546869350eced1b87f1cefd2140a2555d3b1faffc7faee2","observation_id":"d7c96ad5-a812-4c89-a4a4-85a3504a329a","resolution":{"observed_at":"2026-06-30T13:54:44.271758Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T01:05:49.668951Z","title":"Genesis: A generative and universal physics engine for robotics and beyond, 2024","venue":null,"work_id":"4653cf63-7463-442c-8296-7c970a846b30","year":2024},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:a09d6c8d2de0c30ee8886a7c7bda29ec7b287d8c514c2852e3fa3ea3184f1b4b","observation_id":"2a695756-57de-4186-8304-201f98633c81","resolution":{"observed_at":"2026-07-09T01:05:49.670247Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2507.12465","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-03T21:08:57.896940Z","title":"Physx-3d: Physical-grounded 3d asset gener- ation","venue":null,"work_id":"9ecd9f2d-42d7-4160-84ff-51d4ff676af3","year":2025},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:a67daabcfe03514ced6eb62a0a1c096e2a4bae2ff039c739557884736a6763d4","observation_id":"5920a41e-5d9d-43c5-8a1b-30aa0044dc2c","resolution":{"observed_at":"2026-06-30T13:54:44.264068Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1512.03012","last_updated":"2015-12-09T19:42:48Z","snapshot_observed_at":"2026-08-02T21:55:14.093687Z","submitted_at":"2015-12-09T19:42:48Z","title":"ShapeNet: An Information-Rich 3D Model Repository","version":1},"cited_work":{"arxiv_id":"1512.03012","doi":"10.1111/2041-210x.12301","metadata_source":"pith","pith_arxiv_id":"1512.03012","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"ShapeNet: An Information-Rich 3D Model Repository","venue":"cs.GR","work_id":"b2ac5b60-daa9-435b-9369-12271e126edd","year":2015},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"cited_paper":"/paper/1512.03012","citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:d6274f080830050341fa63bfdff784938b26854c1be23e074dbdd74683d2006b","observation_id":"6050afde-41b1-4fd2-8c94-c854290cf74a","resolution":{"observed_at":"2026-06-30T13:54:44.261398Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T01:05:49.676630Z","title":"ABO: Dataset and benchmarks for real-world 3D object un- derstanding","venue":null,"work_id":"3f57b523-2a11-476b-93e9-7d2b94407eab","year":2022},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:7a66688f1ed021800d9269519c34d435eae246644790dddfe541a17b75c13cda","observation_id":"792b3218-f4f7-4f4f-a8ee-55b42c2dd4d2","resolution":{"observed_at":"2026-07-09T01:05:49.677849Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T01:05:49.655099Z","title":"3D highlighter: Localizing regions on 3D shapes via text descriptions","venue":null,"work_id":"f0c6ff6c-30d1-40f0-9eeb-65346f437a0b","year":2023},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:bf7b6a283c8c6a7a261746439c7b4965187366384b0c82c809e65baebcabfb83","observation_id":"20f94d64-463f-4489-a173-3448938ef78b","resolution":{"observed_at":"2026-07-09T01:05:49.657005Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T01:05:49.659594Z","title":"3D paintbrush: Local stylization of 3D shapes with cascaded score distillation","venue":null,"work_id":"2dda7bec-5de2-41d1-9cb9-5699ad6f67ab","year":2024},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:9353acdbf8ea37b7cc6853a4b7cbd58dcd0088b8f0716554a7b8fe538347ec58","observation_id":"4e209b51-40f4-440b-bfed-2a640e6f9b26","resolution":{"observed_at":"2026-07-09T01:05:49.660745Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T01:05:49.632771Z","title":"Objaverse: A universe of annotated 3D objects","venue":null,"work_id":"06904330-8aee-403a-9cf0-9f70f39c9450","year":2023},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:59e2993f5f93a51f25991c1b095b7d7877a4f17ead6a1c4ca5a40f333c6154ce","observation_id":"d2c5d7e7-95a9-43d4-9185-10fb405bfa83","resolution":{"observed_at":"2026-07-09T01:05:49.633886Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T01:05:49.663361Z","title":"Objaverse-XL: A universe of 10M+ 3D objects.NeurIPS, 36, 2024","venue":null,"work_id":"9ca3d8b5-2007-4558-966b-f430ff4e49fa","year":2024},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:a5069c3ecf3a2dc562fab15883026535015c3534a6aa56e068b289f8982a6a42","observation_id":"3e0e9029-8389-43e1-8bc5-35d321359cab","resolution":{"observed_at":"2026-07-09T01:05:49.664612Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2509.04276","last_updated":"2026-04-03T05:31:09Z","snapshot_observed_at":"2026-07-06T22:24:04.107920Z","submitted_at":"2025-09-04T14:51:03Z","title":"PAOLI: Pose-free Articulated Object Learning from Sparse-view Images","version":2},"cited_work":{"arxiv_id":"2509.04276","doi":null,"metadata_source":"pith","pith_arxiv_id":"2509.04276","snapshot_observed_at":"2026-06-30T13:54:44.265303Z","title":"PAOLI: Pose-free Articulated Object Learning from Sparse-view Images","venue":"cs.CV","work_id":"113a6022-951e-4561-b813-ecb2b1cf1ad2","year":2025},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"cited_paper":"/paper/2509.04276","citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:cb0197c80464e58afd06a61aae53b7b214511ebaf12a02919e3c4fc7f854c67f","observation_id":"3a8151e9-7e96-44ae-9dae-8971b41e12b6","resolution":{"observed_at":"2026-06-30T13:54:44.266565Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T01:05:49.641796Z","title":"Example-based synthesis of 3D object arrangements.ACM TOG, 31(6):1–11, 2012","venue":null,"work_id":"ad9f42e4-d3e2-4e18-bd68-9156d607301e","year":2012},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:6d52961e303e5b6f1279b653e3473c4f145659946c786cd9ad6b780f01db9daa","observation_id":"fa24d398-66bd-442c-aed9-aadb57c3ab80","resolution":{"observed_at":"2026-07-09T01:05:49.643007Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T01:05:49.665174Z","title":"3D-Future: 3D fur- niture shape with texture.International Journal of Computer Vision, 129:3313–3337, 2021","venue":null,"work_id":"746cd468-d2af-4010-a3f2-1ce827d589e4","year":2021},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:fd038e41a6d55ac568e7b86d38f6dcda58c2d53383a2c68aada058ae1ca53061","observation_id":"54ab034b-96fa-4e7e-b72b-f7306b3f9180","resolution":{"observed_at":"2026-07-09T01:05:49.666445Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T01:05:49.623789Z","title":"Me- shArt: Generating articulated meshes with structure-guided transformers","venue":null,"work_id":"7a4d3948-cf50-43e2-b36e-7d3788970096","year":2025},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:7c8ca569f42bae8c331e66469d04bed9a4315ee3b7695082246e35ab755db8cf","observation_id":"3d8c4bc3-54b4-4f03-acd7-bbab5094e44f","resolution":{"observed_at":"2026-07-09T01:05:49.625016Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T01:05:49.622083Z","title":"GAPartNet: Cross- category domain-generalizable object perception and manip- ulation via generalizable and actionable parts","venue":null,"work_id":"bf09ff5b-d291-455f-9957-970370e556ae","year":2023},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:207de1f542323510f3b013f3ae4d0380b1adfc0cdc021306655aeae0c3e96dff","observation_id":"e0953ebe-464f-42a6-91f3-fe3325143803","resolution":{"observed_at":"2026-07-09T01:05:49.623275Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.02747","last_updated":"2025-04-03T16:35:17Z","snapshot_observed_at":"2026-07-06T21:03:50.078667Z","submitted_at":"2025-04-03T16:35:17Z","title":"GEOPARD: Geometric Pretraining for Articulation Prediction in 3D Shapes","version":1},"cited_work":{"arxiv_id":"2504.02747","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.02747","snapshot_observed_at":"2026-06-30T13:54:44.249642Z","title":"GEOPARD: Geometric pretraining for articulation pre- diction in 3D shapes.arXiv preprint arXiv:2504.02747,","venue":null,"work_id":"43ef9f7f-412f-4c35-850d-c92d5c84b5f5","year":null},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"cited_paper":"/paper/2504.02747","citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:b9650d52316ce1c92ac2e0c69c239ec8e5429756f19516821b4aa8a40d581288","observation_id":"30a6f423-e50b-4395-b2f8-9b71bacdabd2","resolution":{"observed_at":"2026-06-30T13:54:44.251162Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T01:05:49.650963Z","title":"ArticulatedGS: Self-supervised digital twin modeling of articulated objects using 3d gaussian splatting","venue":null,"work_id":"2b2d41e8-ee55-482e-b069-d11424f57e7f","year":2025},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:06f00d2e5de1d1bbf4ff6b0c4257cfa5fd0097b676fed05045d760d91e36dc2c","observation_id":"ed87f3a8-4e1d-4d9d-9b6e-bb03d58ad292","resolution":{"observed_at":"2026-07-09T01:05:49.652525Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2510.13048","last_updated":"2026-05-05T16:50:06Z","snapshot_observed_at":"2026-08-02T19:24:49.007847Z","submitted_at":"2025-10-14T23:54:58Z","title":"Kinematic Kitbashing","version":3},"cited_work":{"arxiv_id":"2510.13048","doi":null,"metadata_source":"pith","pith_arxiv_id":"2510.13048","snapshot_observed_at":"2026-06-30T13:54:44.252381Z","title":"Kinematic Kitbashing","venue":"cs.RO","work_id":"fd371cfc-3fb6-4572-a2a2-027cc8f94217","year":2025},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"cited_paper":"/paper/2510.13048","citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:39a008782b86a1339df1941e357d057ab0fa2eef7ca66b77bf847d3e3d130980","observation_id":"4b7963ec-eb24-4e4c-a15d-6458b3d1b888","resolution":{"observed_at":"2026-06-30T13:54:44.253544Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.18896","last_updated":"2025-03-15T19:13:28Z","snapshot_observed_at":"2026-08-03T17:36:29.215859Z","submitted_at":"2024-09-27T16:34:13Z","title":"S2O: Static to Openable Enhancement for Articulated 3D Objects","version":2},"cited_work":{"arxiv_id":"2409.18896","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.18896","snapshot_observed_at":"2026-07-01T14:25:46.371197Z","title":"S2o: Static to openable enhancement for articulated 3d objects.arXiv preprint arXiv:2409.18896, 2024","venue":null,"work_id":"d26c2115-ea6b-405b-9679-c479a6069efe","year":2024},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"cited_paper":"/paper/2409.18896","citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:61af102b219f22d7792ebb02118590cf7b2e56761320ded4601a1841032d2f87","observation_id":"2a9fba00-5dbb-4255-af9a-6f5996d743ca","resolution":{"observed_at":"2026-06-30T13:54:44.256231Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T01:05:49.618646Z","title":"OPD: Single-view 3d openable part detection","venue":null,"work_id":"8996fac2-0e88-40e3-a8dd-7a9420921686","year":2022},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:ef422af4b4c7e7eb28e0437e0639c11453c738da1496b03ef4b6de1975fa9b51","observation_id":"1e9688e7-3f07-4347-b6e6-31ac6456e8f4","resolution":{"observed_at":"2026-07-09T01:05:49.619784Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2506.04941","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-30T13:54:44.257387Z","title":"Artvip: Articulated digital assets of visual realism, modular interaction, and physical fidelity for robot learning","venue":null,"work_id":"8251b911-8ef2-4305-b871-e55969eff5e1","year":2025},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:4fc096031d98d22c7feeaedf9e3c71100e452999346f39f2e6a199785fcd52ce","observation_id":"9e1774f8-f83e-4152-8d0c-bfa7e5955a2e","resolution":{"observed_at":"2026-06-30T13:54:44.258920Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2505.10755","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-30T20:55:04.298287Z","title":"Procedural genera- tion of articulated simulation-ready assets","venue":null,"work_id":"590e1bab-9a74-45af-8b0b-062ab6855de6","year":2025},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:dff658b9172ce6cc7b39f0e66b01a2c777ade77a63b4cd7dcd09986738367beb","observation_id":"98e48d27-18b3-4cd7-9b47-ffa5133c19d5","resolution":{"observed_at":"2026-06-30T13:54:44.269218Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.18121","last_updated":"2024-09-26T17:57:16Z","snapshot_observed_at":"2026-08-01T15:17:41.634764Z","submitted_at":"2024-09-26T17:57:16Z","title":"Robot See Robot Do: Imitating Articulated Object Manipulation with Monocular 4D Reconstruction","version":1},"cited_work":{"arxiv_id":"2409.18121","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.18121","snapshot_observed_at":"2026-07-02T21:37:25.525024Z","title":"Robot see robot do: Imitating articulated object manipu- lation with monocular 4d reconstruction","venue":null,"work_id":"36ab7f03-cbdb-4abb-a609-c54b134bc65f","year":2024},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"cited_paper":"/paper/2409.18121","citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:12a176d68d272555ec1e8259a2a38eb43b68567b97246f1bf84343e2c58e3723","observation_id":"9198dc70-5b05-44ba-894f-02c85d38da67","resolution":{"observed_at":"2026-06-30T13:54:44.237757Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T01:05:49.649153Z","title":"Habitat synthetic scenes dataset (HSSD-200): An analysis 9 of 3D scene scale and realism tradeoffs for objectgoal navi- gation","venue":null,"work_id":"581b3373-3a2e-4fbb-9db3-72b5d1bfaec0","year":2024},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:1ba645d716127d288b4ba05ce87544bf3c828e78d9111454d2492e0eff69a1d2","observation_id":"7f08cef3-5db4-4979-acdc-001d7becc2d8","resolution":{"observed_at":"2026-07-09T01:05:49.650400Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T01:05:49.627651Z","title":"PartSTAD: 2D-to-3D part segmentation task adaptation","venue":null,"work_id":"456ecaa5-1510-40c6-b164-ff6e8e7ffc9f","year":null},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:5b25dbf0caee3d1111cf222544504102f4eb663174600d36cc88c6604fc25c58","observation_id":"71232c4a-2c3d-437d-a559-824489fc1d79","resolution":{"observed_at":"2026-07-09T01:05:49.628927Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T01:05:49.634465Z","title":"Guiding diffusion-based articulated object generation by partial point cloud alignment and physical plausibility constraints","venue":null,"work_id":"83b62b01-ee40-46c8-ba91-5b0c5454d75e","year":2025},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:0a9ef7719da93a4eae4c41281cb78f9712779851664f7dd75eaba65ff712425b","observation_id":"b0e3ae9b-c001-4ea9-acbc-6ddc4804b2e5","resolution":{"observed_at":"2026-07-09T01:05:49.635668Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.13882","last_updated":"2025-06-02T15:59:31Z","snapshot_observed_at":"2026-07-06T19:35:30.732080Z","submitted_at":"2024-10-03T19:42:16Z","title":"Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model","version":4},"cited_work":{"arxiv_id":"2410.13882","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.13882","snapshot_observed_at":"2026-07-04T17:29:59.803552Z","title":"Articulate-anything: Automatic modeling of articulated objects via a vision-language foundation model","venue":null,"work_id":"15ce96b2-75d4-497b-892e-2f2fdb53d294","year":2024},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"cited_paper":"/paper/2410.13882","citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:113200b1e43c9e134448fb9a30f45f08a45d4b885fe69e8507a903de896b3f4b","observation_id":"16e23042-864b-435e-973d-488232b3157b","resolution":{"observed_at":"2026-06-30T13:54:44.245987Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T01:05:49.661491Z","title":"Duoduo CLIP: Efficient 3D understanding with multi-view images","venue":null,"work_id":"2222cf48-16b0-460c-bf8f-9f824a49bb08","year":2025},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:b389f6f009a5ffec7409cf1ed99545f4ea32abd3d28b7c7bd4579b74a4070469","observation_id":"f17ad590-a6a9-4554-8f0c-b6d752bba834","resolution":{"observed_at":"2026-07-09T01:05:49.662698Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.16315","last_updated":"2023-05-25T17:59:35Z","snapshot_observed_at":"2026-07-31T02:16:29.622035Z","submitted_at":"2023-05-25T17:59:35Z","title":"NAP: Neural 3D Articulation Prior","version":1},"cited_work":{"arxiv_id":"2305.16315","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.16315","snapshot_observed_at":"2026-06-30T13:54:44.247063Z","title":"Nap: Neural 3d articulation prior","venue":null,"work_id":"7c9d73a5-f309-46bd-bf8f-97dba82b81a6","year":2023},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"cited_paper":"/paper/2305.16315","citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:60113cb39b8eb03e9cd57223025489c50ca42b1c09a39f9c80dd713702aec441","observation_id":"0ea46617-9622-445d-85d8-e835dbbbeedf","resolution":{"observed_at":"2026-06-30T13:54:44.248461Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.13424","last_updated":"2025-03-17T17:53:56Z","snapshot_observed_at":"2026-07-06T20:54:04.912422Z","submitted_at":"2025-03-17T17:53:56Z","title":"Infinite Mobility: Scalable High-Fidelity Synthesis of Articulated Objects via Procedural Generation","version":1},"cited_work":{"arxiv_id":"2503.13424","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.13424","snapshot_observed_at":"2026-06-30T13:54:44.233610Z","title":"Infinite mobility: Scalable high- fidelity synthesis of articulated objects via procedural genera- tion","venue":null,"work_id":"2418ae81-375d-4731-966b-d52c0b7da3a1","year":2025},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"cited_paper":"/paper/2503.13424","citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:530b8dbca929af2aa88a2f9351fb55ed183cfd200e52d1b17b1119d5451b3f98","observation_id":"68f8feba-eb24-4048-a2bf-8127e091ec4d","resolution":{"observed_at":"2026-06-30T13:54:44.235122Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T01:05:49.631077Z","title":"PARIS: Part-level reconstruction and motion analysis for articulated objects","venue":null,"work_id":"85f80377-afec-49d4-bc7e-d5447289f17d","year":2023},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:3bd1545ec7342b0af92a67cf1b8002ca81e300d9a7e74407680c4fa1245119d9","observation_id":"1d9fc6b1-2cbb-431e-b3ea-92ae05962eee","resolution":{"observed_at":"2026-07-09T01:05:49.632243Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.16499","last_updated":"2025-03-19T23:42:07Z","snapshot_observed_at":"2026-07-06T19:37:29.215338Z","submitted_at":"2024-10-21T20:41:32Z","title":"SINGAPO: Single Image Controlled Generation of Articulated Parts in Objects","version":3},"cited_work":{"arxiv_id":"2410.16499","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.16499","snapshot_observed_at":"2026-07-01T17:15:50.889409Z","title":"arXiv preprint arXiv:2410.16499 (2024)","venue":null,"work_id":"325f7a12-23ff-4607-8db4-300da8b92662","year":2024},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"cited_paper":"/paper/2410.16499","citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:631bd6b6ec47928bf5c8e0d5becd5a7a41bcbd2643de7db7583407188f242bcb","observation_id":"d9815c75-ff66-4d69-baf3-ffc7e2099a14","resolution":{"observed_at":"2026-06-30T13:54:44.229892Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T01:05:49.653161Z","title":"CAGE: Controllable articulation generation","venue":null,"work_id":"1ac2f255-8152-4f94-aa67-213362b132ef","year":2024},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:20466de2bb030bb8c2c275bc5b3787d02322b70edb614c244694da0253f47bca","observation_id":"9107dba6-2291-42bc-be99-068bfdde76d8","resolution":{"observed_at":"2026-07-09T01:05:49.654500Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T01:05:49.625602Z","title":"AKB-48: A real-world articu- lated object knowledge base","venue":null,"work_id":"8fbdc763-41f8-466b-abb4-33198796e1f5","year":null},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:45f257e4f7db1d594146d032fd5cecc3ac3124c2dbe070d95295daa942e09e4c","observation_id":"5a2b4a29-cf6a-4471-a0e2-5dca054babce","resolution":{"observed_at":"2026-07-09T01:05:49.627080Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T01:05:49.674801Z","title":"Toward real-world category-level articulation pose esti- mation.IEEE Transactions on Image Processing, 31:1072– 1083, 2022","venue":null,"work_id":"2c9bb8b8-2372-4ed3-9a24-95906be3546b","year":2022},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:cc5f1d3b9d0221e85bf90819d1c1b02e1fa143b1a8fb7e450a93f1ca77af97e3","observation_id":"b9abaa35-f488-4dbc-aab7-396ed0e60120","resolution":{"observed_at":"2026-07-09T01:05:49.676067Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T01:05:49.620327Z","title":"PartSLIP: Low-shot part segmentation for 3D point clouds via pretrained image- language models","venue":null,"work_id":"b7c1dde9-dd20-408f-9867-1edc9ca825d2","year":2023},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:6e2010c7ae3f3188d382241413c5fee5235118e5c5499fd48a82d1211492a918","observation_id":"11dca4c7-53bc-4127-ac93-cec23525eadb","resolution":{"observed_at":"2026-07-09T01:05:49.621505Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.19459","last_updated":"2025-03-19T08:43:16Z","snapshot_observed_at":"2026-07-06T20:43:17.933460Z","submitted_at":"2025-02-26T10:25:32Z","title":"ArtGS: Building Interactable Replicas of Complex Articulated Objects via Gaussian Splatting","version":2},"cited_work":{"arxiv_id":"2502.19459","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.19459","snapshot_observed_at":"2026-07-02T21:37:25.527623Z","title":"Artgs: Building interactable replicas of complex articulated objects via gaussian splatting","venue":null,"work_id":"a795280d-f81a-438f-91eb-404f7afd4077","year":2025},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"cited_paper":"/paper/2502.19459","citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:a1245097140717871a6073bc02178af472430c98d8d21f5b775855c0100acc6b","observation_id":"0e19b8a7-6e6f-4a81-a71d-b0d07920cac2","resolution":{"observed_at":"2026-06-30T13:54:44.232490Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T01:05:49.667043Z","title":"PhysPart: Physically plausible part completion for interactable objects","venue":null,"work_id":"125efe3b-5d09-49f7-9662-5a199c2d17c6","year":null},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:b03b892dd44c89c9b9e7ce460d4160213d13c3f942ce273b0fa4c51a88d21359","observation_id":"edb74c90-c795-4238-90f4-6ec2387f7855","resolution":{"observed_at":"2026-07-09T01:05:49.668363Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T01:05:49.636224Z","title":"The RBO dataset of articulated objects and interactions.The International Journal of Robotics Research, 38(9):1013– 1019, 2019","venue":null,"work_id":"f7bc6648-decd-4d06-80dc-0d67c8c000fd","year":2019},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:d3051afb2877076299681d41f8e78dd9b3fc977055ae4e21edca56f614743106","observation_id":"d8fe520c-fb45-43d8-aa3d-47f9ab5f3706","resolution":{"observed_at":"2026-07-09T01:05:49.637648Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T01:05:49.672983Z","title":"PartNet: A large- scale benchmark for fine-grained and hierarchical part-level 3D object understanding","venue":null,"work_id":"2582ec7e-4202-4aa0-ba9e-7abfcec8ca04","year":2019},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:10eadc4bfbcae159e9eaa458032286ecf315aac98911f3165402a4ab419ef795","observation_id":"3e24509b-da02-46a6-a36f-4faeaa821266","resolution":{"observed_at":"2026-07-09T01:05:49.674225Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2509.24288","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-30T13:54:44.223048Z","title":"ASIA: Adaptive 3D segmentation using few image annotations.ArXiv, abs/2509.24288, 2025","venue":null,"work_id":"d714a326-194f-47c2-b784-cb4de5489d19","year":2025},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:43c8a5fd0b3ad0a2ee5f0a85c54fbb32b97945e0c62cfff81a66827222d9530e","observation_id":"284eb523-4549-4132-98ce-94cbab2e64e9","resolution":{"observed_at":"2026-06-30T13:54:44.224533Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.05789","last_updated":"2024-12-08T02:59:04Z","snapshot_observed_at":"2026-07-06T20:03:20.752332Z","submitted_at":"2024-12-08T02:59:04Z","title":"InfiniteWorld: A Unified Scalable Simulation Framework for General Visual-Language Robot Interaction","version":1},"cited_work":{"arxiv_id":"2412.05789","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.05789","snapshot_observed_at":"2026-07-03T11:58:05.941738Z","title":"Infiniteworld: A unified scalable simulation framework for general visual-language robot interaction","venue":null,"work_id":"dff8be90-fece-4799-8e83-d978164931a9","year":2024},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"cited_paper":"/paper/2412.05789","citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:d7c16ba1be538de754a39b52db27acdc3226aca2c61b00e273fa3c614be25efd","observation_id":"4cec0651-699e-4af7-b546-19b0fa445567","resolution":{"observed_at":"2026-06-30T13:54:44.221898Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T01:05:49.670856Z","title":"Arti-PG: A toolbox for procedurally synthesizing large-scale and diverse articulated objects with rich annotations","venue":null,"work_id":"48a04416-b68c-4c81-8a84-e51981241403","year":null},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:ca922407b97d3c8446e28acd757574e4442bbd21199fc8ce466ccddadab9cbc9","observation_id":"46fb5e17-9aa1-4afe-9b38-4381755db265","resolution":{"observed_at":"2026-07-09T01:05:49.672383Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T01:05:49.647467Z","title":"OPDMulti: Openable part detection for multiple ob- jects","venue":null,"work_id":"af72da97-7e89-42f2-a300-45ad0ca309d8","year":2024},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:22f87da03dd9461e4ef1c5e990faec4569980f95acdbf43d3c100a8dbffc5c89","observation_id":"4ec57227-3fe3-40f6-9e51-677c9766eb54","resolution":{"observed_at":"2026-07-09T01:05:49.648644Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T01:05:49.645450Z","title":"3×2: 3D object part seg- mentation by 2D semantic correspondences","venue":null,"work_id":"352374d3-70d1-495f-a091-89fc306707f8","year":null},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:d2ee82207b58021f2c104ff48658b4704e6297dc2b3d2e15575cb61265eda9e8","observation_id":"8f7c0b14-563a-405c-8f4e-11a13cfe6ac1","resolution":{"observed_at":"2026-07-09T01:05:49.646832Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2510.20155","doi":"10.48550/arxiv.2510.20155","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"Partnext: A next-generation dataset for fine-grained and hierarchical 3d part understanding","venue":null,"work_id":"2f3e4995-1fdc-4849-a62b-bf3f0008c6a2","year":2025},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:5b828cdd73fd8285c6020b3c43ce300e7ada84cb608f0bf441151232075a365d","observation_id":"0f0c0c58-658a-4118-87d9-d3ba6c2e1574","resolution":{"observed_at":"2026-06-30T13:54:44.240571Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T01:05:49.680176Z","title":"Shape2motion: Joint analysis of motion parts and attributes from 3d shapes","venue":null,"work_id":"5fc4ea4d-63e3-46a1-a630-69d9eccbb88c","year":2019},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:c5a826a860407551a3092369d3204feaea08f135db3c48f82edef35a087a40d7","observation_id":"d6562922-a14d-468a-b30c-7ad75b4389bc","resolution":{"observed_at":"2026-07-09T01:05:49.681342Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.10600","last_updated":"2025-06-16T08:50:31Z","snapshot_observed_at":"2026-08-02T11:35:50.938932Z","submitted_at":"2025-06-12T11:43:50Z","title":"EmbodiedGen: Towards a Generative 3D World Engine for Embodied Intelligence","version":2},"cited_work":{"arxiv_id":"2506.10600","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.10600","snapshot_observed_at":"2026-07-04T10:49:46.451842Z","title":"Embodiedgen: Towards a generative 3d world engine for embodied intelligence","venue":null,"work_id":"60a29e77-ced1-486a-a32b-607339c75448","year":2025},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"cited_paper":"/paper/2506.10600","citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:7e4dd832cfc29898da89855778e336f59c038bed796b5f4b4690321514246999","observation_id":"bf25f24a-a49a-4cde-868d-aa1ff6d24951","resolution":{"observed_at":"2026-06-30T13:54:44.243242Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T01:05:49.643604Z","title":"Neural implicit representation for building digital twins of unknown articulated objects","venue":null,"work_id":"a985e01a-692d-4d1c-9705-870e91b2eb1e","year":2024},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:7877a56636956347505f09fe948b4aaf95868de62857afde1be2c55b0c9843d1","observation_id":"0edced8d-5045-4b2d-8a06-8bcba91d955e","resolution":{"observed_at":"2026-07-09T01:05:49.644901Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2503.06677","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-30T13:54:44.217676Z","title":"Reartgs: Reconstruct- ing and generating articulated objects via 3d gaussian splat- ting with geometric and motion constraints","venue":null,"work_id":"8b5169de-e0bc-4c77-99b3-d2e3b509db7b","year":2025},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:f7d3b5f7364fe3d6d944a8bcae55e64256fa1aea0ee9f2856b5af74cf37ff4a5","observation_id":"dc500433-88e8-4322-bd14-154827ff88d0","resolution":{"observed_at":"2026-06-30T13:54:44.219257Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.20460","last_updated":"2025-05-28T13:22:57Z","snapshot_observed_at":"2026-08-03T05:48:15.635768Z","submitted_at":"2025-05-26T18:55:14Z","title":"DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data","version":2},"cited_work":{"arxiv_id":"2505.20460","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.20460","snapshot_observed_at":"2026-06-30T13:54:44.225734Z","title":"DIPO: Dual-state images controlled articulated ob- 10 ject generation powered by diverse data.arXiv preprint arXiv:2505.20460, 2025","venue":null,"work_id":"d821c9fe-9147-4a19-aae4-2afc3658fe70","year":2025},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"cited_paper":"/paper/2505.20460","citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:54b95d42dba7a9addeb6be5bf29859c66f7d19374f9fbb99a3bdd77bdd00ea09","observation_id":"3296696a-f80d-4137-90ef-686c5e527d80","resolution":{"observed_at":"2026-06-30T13:54:44.227260Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T01:05:49.615016Z","title":"DRAWER: Digi- tal reconstruction and articulation with environment realism","venue":null,"work_id":"1bd93179-9d42-474c-9e5b-b6a9efbdc208","year":2025},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:ed33befa031aa5181d243758efd6b7d9d3e6895289a102c18b6c07f7ce25f9da","observation_id":"6ab9a913-50e6-4ade-81ab-c8e52bddde0b","resolution":{"observed_at":"2026-07-09T01:05:49.616245Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T01:05:49.616948Z","title":"SAPIEN: A simulated part-based interactive environment","venue":null,"work_id":"d983d2da-e430-49cf-b360-aaa22cf219af","year":2020},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:7215f8885252fdca50103b5ada9dc8b6242b15a2934e6d271499322d3ed31ed5","observation_id":"8e4e7ebc-3e3d-4e7a-95ff-7c18d14b0cea","resolution":{"observed_at":"2026-07-09T01:05:49.618092Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T01:05:49.657627Z","title":"Structured 3d latents for scalable and versatile 3d gen- eration","venue":null,"work_id":"fc6d2eab-375a-4f87-9553-c7e9ed0e1891","year":2025},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:6e33cc880e898cc6423df690c851af30ce1d3a5503e9b4a24104a2bec9f848eb","observation_id":"3f29552b-1614-4900-b20e-8b9ce62bfbb2","resolution":{"observed_at":"2026-07-09T01:05:49.659015Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2509.08643","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:06:25.578971Z","title":"X-Part: high fidelity and structure coher- ent shape decomposition.arXiv preprint arXiv:2509.08643","venue":null,"work_id":"2638217d-594f-4f3e-ac82-68662cc8a495","year":2025},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:a8c54a0b7c20ce12f4dba59c3ee8aad82cb197ca152eeec05f295ddc1fad1690","observation_id":"61931e48-a93f-4351-9af6-ed2df8de0bea","resolution":{"observed_at":"2026-06-30T13:54:44.213648Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T01:05:49.638275Z","title":"RPM-Net: Recurrent prediction of motion and parts from point cloud","venue":null,"work_id":"6557f1fb-290b-45de-88b6-b4409afac864","year":2019},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:193ff7a2b95569be85b6f2f510c945564db41fbed18f24e998503997d1bc6dde","observation_id":"9c75e7fe-c59c-4818-bb1a-1da9c80a315a","resolution":{"observed_at":"2026-07-09T01:05:49.639474Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T01:05:49.640028Z","title":"PhyScene: Physically interactable 3d scene synthe- sis for embodied ai","venue":null,"work_id":"c092d672-46aa-4894-b0ff-aab4a7039620","year":2024},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:bb6448eb5705c59e4d3bb13f7529a428fdbb7585ca895ae8a5359f0e48fa5c68","observation_id":"6de2accb-d39b-4190-82d5-1c1ed6ab94a0","resolution":{"observed_at":"2026-07-09T01:05:49.641170Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.10868","last_updated":"2025-09-03T18:01:47Z","snapshot_observed_at":"2026-08-04T10:49:36.741951Z","submitted_at":"2025-08-14T17:43:25Z","title":"TexVerse: A Universe of 3D Objects with High-Resolution Textures","version":2},"cited_work":{"arxiv_id":"2508.10868","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2508.10868","snapshot_observed_at":"2026-07-04T15:19:56.446041Z","title":"Texverse: A universe of 3d objects with high-resolution textures","venue":null,"work_id":"150f31f5-8c59-4668-93bd-3a6b19818c19","year":2025},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"cited_paper":"/paper/2508.10868","citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:60550dd5703941494601a01699c03dad9d46adc34152063361a2febfcd2a21fc","observation_id":"95a74bf5-1f90-449f-851f-4e66f4d66d84","resolution":{"observed_at":"2026-06-30T13:54:44.216461Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T01:05:49.629507Z","title":"main_category","venue":null,"work_id":"03a8add9-1e8a-4720-857a-e6801573776f","year":2024},"citing_paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-06-30T13:44:41.461355Z"},"links":{"citing_paper":"/paper/2605.24403"},"observation_digest":"sha256:4ed44f630dc013b4b93f906102f4dfc7a01f2e080ca1f9631d390d382cae689b","observation_id":"3956b6b7-3276-4d69-ac92-eb3c724cdbb7","resolution":{"observed_at":"2026-07-09T01:05:49.630572Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2605.24403","last_updated":"2026-05-23T05:19:05Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-03T09:46:35.176072Z","submitted_at":"2026-05-23T05:19:05Z","title":"Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects"},"reference_resolution":{"displayed":59,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":0,"verified_exact":22,"verified_fuzzy":36},"total_outbound_references":59},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2605.24403."}