{"as_of":"2026-08-18T21:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6a6e7c4ca4bf339363c00a170b1190af3beab54ad839d59eaee7573387e01d82","coverage":[{"denominator":80,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":80,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T04:46:17.592502Z","state":"measured"},{"denominator":80,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":80,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+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/2608.12683/citation-record","integrity":"/paper/2608.12683/integrity","json":"/paper/2608.12683/citation-record.json","paper":"/paper/2608.12683"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:17.154797Z","title":"Communication, Simulation, and Intelligent Agents: Implications of Personal Intelligent Machines for Medical Education","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.154797Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:2f644ded5e0bac8b93f7eae0a9fe7255d494917e1873b2301cba8ef32fd5f6a1","observation_id":"f43ce248-a8f4-426f-80bd-9174de12851c","resolution":{"observed_at":"2026-08-16T04:46:17.154797Z","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":"2026-08-16T04:46:17.160974Z","title":"Classification Problem Solving","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.160974Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:cc1b781dc46b47e6c3779797fd045530a2428f178baec2dc69814299691d3248","observation_id":"c2b534da-f6a8-427c-b7bc-fd11c40d7bbe","resolution":{"observed_at":"2026-08-16T04:46:17.160974Z","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":"2026-08-16T04:46:17.165835Z","title":", title =","venue":null,"work_id":null,"year":1980},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.165835Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:217d0afe954de93cd0e30ee3f1cf2e95ee916fbe17705032f82d3a5bc72493ad","observation_id":"12198cf7-691c-461c-b0c0-23cdec92e9f6","resolution":{"observed_at":"2026-08-16T04:46:17.165835Z","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":"2026-08-16T04:46:17.170131Z","title":"New Ways to Make Microcircuits Smaller---Duplicate Entry","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.170131Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:c3175fef91b17a16d5c020c0a2892133064dfd395ee5e6da0d1381d35d26fb66","observation_id":"63d2bcf6-fba6-48f8-996e-c179b78a83af","resolution":{"observed_at":"2026-08-16T04:46:17.170131Z","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":"2026-08-16T04:46:17.174001Z","title":"Clancey and Glenn Rennels , abstract =","venue":null,"work_id":null,"year":1984},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.174001Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:ea07f0819d91abc1f5e006f3322309ad4f26b430d0c52b81507412469e33b14e","observation_id":"0cfa96bb-4e1d-4365-b2bb-f449a376a2a7","resolution":{"observed_at":"2026-08-16T04:46:17.174001Z","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":"2026-08-16T04:46:17.177832Z","title":"and Rennels, Glenn R","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.177832Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:2c9f0f3e7efcad0dcb5173f39e3ee9645a3c08256115c0d94d2cd36e527114c5","observation_id":"a6ffd83b-07cd-41d1-adc3-2c413edc2f3c","resolution":{"observed_at":"2026-08-16T04:46:17.177832Z","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":"2026-08-16T04:46:17.181818Z","title":"Poligon: A System for Parallel Problem Solving","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.181818Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:56e23ca08b678febecd7102eff92915273fa45a4e8c51fa8d51067d91e650b10","observation_id":"4d15fe2c-6071-4337-bcda-cd428d2cfced","resolution":{"observed_at":"2026-08-16T04:46:17.181818Z","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":"2026-08-16T04:46:17.185840Z","title":"Transfer of Rule-Based Expertise through a Tutorial Dialogue","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.185840Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:d99e3e76f4aea768e054eb5f02e8d184d1c7833ebfcce6dfc4b864dffc2b4bd9","observation_id":"8315a563-e167-4c37-8743-5f9d93936fba","resolution":{"observed_at":"2026-08-16T04:46:17.185840Z","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":"2026-08-16T04:46:17.190515Z","title":"The Engineering of Qualitative Models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.190515Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:141c210abc8ee721131118672913367d40a0ee97ceedde30f3bfa460ed4541d4","observation_id":"cedeb2c4-9f44-43dc-8af7-b93a99210e38","resolution":{"observed_at":"2026-08-16T04:46:17.190515Z","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":"2026-08-16T04:46:17.194230Z","title":"2023 , eprint=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.194230Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:ba301bf40fe2167c9fc97dab22f7e5fdf3aa138135e32edb5291e93f8cb82592","observation_id":"7890aec5-df43-484d-b218-12c333e1cfdf","resolution":{"observed_at":"2026-08-16T04:46:17.194230Z","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":"2026-08-16T04:46:17.198118Z","title":"Pluto: The 'Other' Red Planet","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.198118Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:fd7baf18831ff303c71bab4851446079b3fa19ba7edc6b5009b4eac6ae985e0a","observation_id":"291122d0-c642-4d3a-8506-c982dd104b82","resolution":{"observed_at":"2026-08-16T04:46:17.198118Z","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":"2026-08-16T04:46:17.202636Z","title":"2014 , publisher=","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.202636Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:38d61a76d7271fac15a6ab4788da6c2fedbf53aba95d38a8b529096e1882f854","observation_id":"f5a33b25-b023-4b7a-92cb-76a552a9ceeb","resolution":{"observed_at":"2026-08-16T04:46:17.202636Z","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":"2026-08-16T04:46:17.208649Z","title":"Proceedings of the IEEE , volume=","venue":null,"work_id":null,"year":1988},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.208649Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:3c9bb5dda4fc4ae74dfaca2c4d636d5509d2188e695ef5360ef051d59b4e2ec3","observation_id":"f59a4ef5-0731-4d6a-8190-145e29773a3f","resolution":{"observed_at":"2026-08-16T04:46:17.208649Z","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":"2026-08-16T04:46:17.214552Z","title":"International journal of computer vision , volume=","venue":null,"work_id":null,"year":1988},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.214552Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:99f90cebd851f205218ee7b2dac29bb831d798bbfd5d44fa357a2db68bb27b4b","observation_id":"e9e1e86c-12db-4dfb-8e3a-61b053fdc5b7","resolution":{"observed_at":"2026-08-16T04:46:17.214552Z","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":"2026-08-16T04:46:19.062303Z","title":"Proceedings","venue":null,"work_id":"11c880cf-5d16-46da-b93b-76d6094f8cbd","year":1985},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.219830Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:d3c582c564c7fe6d78973763208cd3b8431f4ed424ce9e2e79302d4448fc7dae","observation_id":"63723eaf-e07e-4b85-a9bf-846b5512e822","resolution":{"observed_at":"2026-08-16T04:46:19.067065Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:19.046030Z","title":"Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , month =","venue":null,"work_id":"fdabeca5-cd34-4789-93a0-bee29c146894","year":2024},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.224273Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:338392ec902e9a5a8b22e5291b0c3386f333c0a3336925f1ce854f022fc16a8f","observation_id":"3c5731b8-7afd-4fa8-8927-c565a218460b","resolution":{"observed_at":"2026-08-16T04:46:19.050769Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:19.029856Z","title":"Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , month =","venue":null,"work_id":"c8f17c3f-a292-489c-96b6-f4dc7bea04ba","year":2024},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.229155Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:520cf9f7e407a7f2a5beb3e4c49a56f8f0ae735a9695ae13d063d30564e0c743","observation_id":"f1231d72-3443-4fb3-9829-c0ba1c0c4335","resolution":{"observed_at":"2026-08-16T04:46:19.034792Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:19.016279Z","title":"Conference on Robot Learning , pages=","venue":null,"work_id":"d920c24f-d28f-4104-a632-8059b97c3356","year":2023},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.233074Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:20bb9a8e641e0eea6f308568da0f95a45d66a4a5c464adec1334e37264ff2ad8","observation_id":"de448e61-4525-4091-b42b-2f1cae87d45b","resolution":{"observed_at":"2026-08-16T04:46:19.021050Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:18.996695Z","title":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , pages=","venue":null,"work_id":"84ebb3a7-310d-4181-a9de-2b1cec42fe04","year":2022},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.236642Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:c5bc00c1591f13a19c0f3fc943cc5238a5bac9e14a5702f9fbe260d07d8a030d","observation_id":"6a830cb1-fdac-4103-9025-4c52f91e9911","resolution":{"observed_at":"2026-08-16T04:46:19.006093Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:18.972652Z","title":"2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , pages=","venue":null,"work_id":"b5c9e076-c8be-47ba-b32a-cc30542c3b47","year":2025},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.240431Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:00a750da78726ef845a3b45867fe9f0118d77a81476259a5780889bc7dad7548","observation_id":"2808426c-55b6-48c6-9049-fb617559c241","resolution":{"observed_at":"2026-08-16T04:46:18.977573Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2606.19091","last_updated":"2026-06-17T13:59:19Z","snapshot_observed_at":"2026-08-01T01:39:04.507557Z","submitted_at":"2026-06-17T13:59:19Z","title":"GCNGrasp-VP: Affordance-Guided View Planning for Efficient Task-Oriented Grasping","version":1},"cited_work":{"arxiv_id":"2606.19091","doi":null,"metadata_source":"pith","pith_arxiv_id":"2606.19091","snapshot_observed_at":"2026-08-16T04:46:18.144592Z","title":"GCNGrasp-VP: Affordance-Guided View Planning for Efficient Task-Oriented Grasping","venue":"cs.RO","work_id":"7eb8980b-7eda-4752-abb5-50bf160ec255","year":2026},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.244641Z"},"links":{"cited_paper":"/paper/2606.19091","citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:a59acbe31b7c4f90a99b426c4a6cee760610c59be7597f7a4d40fc9c2a8ebe1f","observation_id":"d02b31aa-f5ba-43f0-8253-80dba8087ce6","resolution":{"observed_at":"2026-08-16T04:46:18.150557Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:18.956813Z","title":"Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , month =","venue":null,"work_id":"5c9e8cc3-44c2-4148-b19e-53736940ec47","year":2026},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.248817Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:8ecf97fc99df39a1fb12290d26ad709c28b9e03ee2c8a8fdc2c590e4f9a94156","observation_id":"1ce0e32a-451d-4eb4-8505-864e22c272c0","resolution":{"observed_at":"2026-08-16T04:46:18.961424Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1505.01085","last_updated":"2015-05-05T17:11:26Z","snapshot_observed_at":"2026-08-14T22:49:46.607089Z","submitted_at":"2015-05-05T17:11:26Z","title":"In Defense of the Direct Perception of Affordances","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1505.01085","snapshot_observed_at":"2026-08-16T04:46:17.253780Z","title":"arXiv preprint arXiv:1505.01085 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.253780Z"},"links":{"cited_paper":"/paper/1505.01085","citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:d52bebb2d31318573044b207d9bf05b4603086f3d7f1994b39a5a05ea475eb6a","observation_id":"27b64fe2-4f63-4b29-9082-7aa464b1f395","resolution":{"observed_at":"2026-08-16T04:46:17.253780Z","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":"2026-08-16T04:46:17.259131Z","title":"Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.259131Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:9989a91f5c63c6ec63a0a13431b3cdaf7bd971d344556939d0ac1cf1d7f7bd56","observation_id":"73ba5788-f9d2-4750-abca-6a233ac001f2","resolution":{"observed_at":"2026-08-16T04:46:17.259131Z","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":"2026-08-16T04:46:18.916495Z","title":"Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , month =","venue":null,"work_id":"6149413d-df00-4149-a606-6799619aed3b","year":2024},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.264062Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:485f68c28cd59ba59f2ffdd37d492a127865f4b262b1a9f9ad87e318c22a49e0","observation_id":"786b4b08-3e34-4567-ab86-afd58fb632ca","resolution":{"observed_at":"2026-08-16T04:46:18.921153Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:18.896434Z","title":"Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages=","venue":null,"work_id":"18d0e306-9e0b-4a90-993b-671988dbf903","year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.268626Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:e26f8daf1306269a9222542af5a94d52014fb665821205deeecc9f23da30fad6","observation_id":"510f1324-c4e4-4762-baed-b1d914682e7c","resolution":{"observed_at":"2026-08-16T04:46:18.906231Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:18.874202Z","title":"Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages=","venue":null,"work_id":"1200d593-2f18-4ad5-8db7-545e8df9588e","year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.273846Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:220064309b30383f4adedc59719ec74c16035912089247650a6b46a6af4b82fc","observation_id":"71832870-1e95-4248-9073-c92f3495ddfc","resolution":{"observed_at":"2026-08-16T04:46:18.881199Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:18.851666Z","title":"IEEE Robotics and Automation Letters , year=","venue":null,"work_id":"459b6f80-d3af-4a07-a171-53a0f4bc2588","year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.278184Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:15a105c8673eb3b8bf2a8c99719659013edca3b015ec31a7bd4485ae88263bfa","observation_id":"91ada5a7-d3aa-43a3-b59a-2caf1aba6cb3","resolution":{"observed_at":"2026-08-16T04:46:18.860349Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.12916","last_updated":"2025-08-18T13:31:23Z","snapshot_observed_at":"2026-08-17T03:12:58.157774Z","submitted_at":"2025-08-18T13:31:23Z","title":"RoboRetriever: Single-Camera Robot Object Retrieval via Active and Interactive Perception with Dynamic Scene Graph","version":1},"cited_work":{"arxiv_id":"2508.12916","doi":null,"metadata_source":"pith","pith_arxiv_id":"2508.12916","snapshot_observed_at":"2026-08-16T04:46:18.111200Z","title":"RoboRetriever: Single-Camera Robot Object Retrieval via Active and Interactive Perception with Dynamic Scene Graph","venue":"cs.RO","work_id":"95e1e1bc-b15f-40b4-8e52-20318737fb00","year":2025},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.282858Z"},"links":{"cited_paper":"/paper/2508.12916","citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:ee045ff9935e0d27a6423556acec7a0544a3817d6ad4e5a86132d8ff2acdfd1b","observation_id":"2f257eb9-9024-4be7-95b3-25989acad79f","resolution":{"observed_at":"2026-08-16T04:46:18.116399Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:18.837803Z","title":"Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , month =","venue":null,"work_id":"a427b0ef-6dc5-4e07-94d0-4ce010eaa140","year":2026},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.287642Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:b239d5669d27ae55c359c32d215d833699e0b50f75ce49e559eb61fa61ac89e6","observation_id":"8820edf1-37d0-48a8-b1a3-ae5b041ff465","resolution":{"observed_at":"2026-08-16T04:46:18.843087Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:18.821892Z","title":"Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , month =","venue":null,"work_id":"97b05c62-4e47-482f-ac7c-dfa85a5aad66","year":2026},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.293285Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:cec85c761d09498c4356cffad5aa51c4371d47db641c86d0e0d2c5d767436183","observation_id":"ded5b286-89aa-47e8-88d1-61c64ab354f4","resolution":{"observed_at":"2026-08-16T04:46:18.827533Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2602.18374","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:18.088940Z","title":"arXiv preprint arXiv:2602.18374 , year=","venue":null,"work_id":"3febe5f8-3522-46f6-92a5-ee805b683cda","year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.300134Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:aabb7eb5b74dc5db10c0f8b27b34d3853fa439a0f9ef2d37c79522659bd6e3aa","observation_id":"b493267b-2879-4b64-a040-2bf028e0d1c9","resolution":{"observed_at":"2026-08-16T04:46:18.095492Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.01691","last_updated":"2022-08-16T16:06:33Z","snapshot_observed_at":"2026-08-18T11:44:22.813405Z","submitted_at":"2022-04-04T17:57:11Z","title":"Do As I Can, Not As I Say: Grounding Language in Robotic Affordances","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.01691","snapshot_observed_at":"2026-08-16T04:46:17.306702Z","title":"arXiv preprint arXiv:2204.01691 , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.306702Z"},"links":{"cited_paper":"/paper/2204.01691","citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:5845e7216f34631da243d5783572ca602cd4a405672255724e4b425742877068","observation_id":"24c9a72c-f640-4aef-b0fe-876edc6bb794","resolution":{"observed_at":"2026-08-16T04:46:17.306702Z","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":"2026-08-16T04:46:18.806555Z","title":"ProgPrompt: Generating Situated Robot Task Plans using Large Language Models , year=","venue":null,"work_id":"e89d5774-3817-4da7-b5e2-6643db5405bc","year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.314497Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:e113ec2f0e997e208f6a12b50cbd4de027a57419c4b021fc4a20d0bc0db06662","observation_id":"d3c72cf2-ac4b-4444-ac21-f2a7e11c1ddf","resolution":{"observed_at":"2026-08-16T04:46:18.811513Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:18.792483Z","title":"Proceedings of The 7th Conference on Robot Learning , pages =","venue":null,"work_id":"c4e40b1c-377d-4053-9433-a4c5a84a4da9","year":2023},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.318736Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:be227c9ff6f7c88a0a832b654634af254543714aabec1bceea2f5cfd45851ec0","observation_id":"4051150e-6cc5-4a70-9e80-58d8d1901462","resolution":{"observed_at":"2026-08-16T04:46:18.797668Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:18.774566Z","title":"International Conference on Learning Representations (ICLR) , year=","venue":null,"work_id":"199cdaeb-5d90-42ed-8305-53a977af83b9","year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.324970Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:16c600994a918493e2a1e8c0a1feb9d1d58d03ab12d163868c13c9a2f2c7965e","observation_id":"4bea7680-3f57-4f7b-bd12-6a8576eaa6ee","resolution":{"observed_at":"2026-08-16T04:46:18.779012Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:18.755433Z","title":"Robotics: Science and Systems XIII , year =","venue":null,"work_id":"a48f38c9-82e0-496a-a497-4103b9a19308","year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.329487Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:91f6629a1164b8bdf96f21868fffe9f24243cac81f0c029fd198f1673c6ba411","observation_id":"ede76f70-5e1e-40c7-a142-cc4f1383f781","resolution":{"observed_at":"2026-08-16T04:46:18.760779Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:18.735499Z","title":"IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , month =","venue":null,"work_id":"06612746-b096-4c53-88ad-44f51311aa7d","year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.333937Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:b787e810deb2c7a198b3d283c4e24455b0c7a3a28fee3647a2a8b158664a344e","observation_id":"c966245b-0173-4b01-a8c0-088c19829c1a","resolution":{"observed_at":"2026-08-16T04:46:18.741144Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:18.715591Z","title":"Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , month =","venue":null,"work_id":"026255f3-82e8-4df1-93d2-899aafdec45d","year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.338227Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:d9807f6d0bc8a87e5eb07449e51d34e805aee69f6248c537827d0aad7f309060","observation_id":"4fb45479-483a-427b-937e-81674df187a9","resolution":{"observed_at":"2026-08-16T04:46:18.721297Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:18.690095Z","title":"2022 , url=","venue":null,"work_id":"a5eb6916-19e6-402b-9511-5278c6626914","year":2022},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.344472Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:3850860b8e816fd22f11f053be8336c03dabdbae5265b47329064c836f18f772","observation_id":"8e1bdc3a-bccb-4b30-afd7-97606fcb3a3b","resolution":{"observed_at":"2026-08-16T04:46:18.701376Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:18.661275Z","title":"Contact-GraspNet: Efficient 6-DoF Grasp Generation in Cluttered Scenes , year=","venue":null,"work_id":"ce0d49c0-f450-4fbf-9e2f-e51fb7c541e3","year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.351769Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:f4b7a52f32629543d1f6c89fa988cca25398b73da30277aedcd3af2d080ec0f9","observation_id":"fd3bc798-41d6-4d6c-be21-5ae046c299fc","resolution":{"observed_at":"2026-08-16T04:46:18.666698Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:18.646287Z","title":"Object Goal Navigation using Goal-Oriented Semantic Exploration , url =","venue":null,"work_id":"7d6677a4-657b-4bad-91ce-9af99d5e4bbe","year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.358463Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:66a2a24ca762cbe8a84b53d92846f01d43db604f8530041b1f69d41d6bcd4a70","observation_id":"f76664f5-0656-4ee3-99cf-2f79035e7364","resolution":{"observed_at":"2026-08-16T04:46:18.651003Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2512.04231","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:18.016965Z","title":"arXiv preprint arXiv:2512.04231 , year=","venue":null,"work_id":"ababf39b-682b-4133-a133-9fea91f6c028","year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.365661Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:6494c0b46e143006ee9523d28765e496f357cda3b0836390503934ab882504a9","observation_id":"b9d15817-574c-4f14-bb30-6b45c0bf1b7b","resolution":{"observed_at":"2026-08-16T04:46:18.024517Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:18.627498Z","title":"Aakur , booktitle=","venue":null,"work_id":"5e771dcf-50c4-4985-b44f-513068c59bb2","year":2025},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.370859Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:cc17a61ec4e6cd3fbff780b90026db75b3da0a83bda9999d460117f9dc868cca","observation_id":"f460fa93-b6d8-4401-881f-8c493161c921","resolution":{"observed_at":"2026-08-16T04:46:18.634355Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:18.608601Z","title":"Proceedings of Robotics: Science and Systems , YEAR =","venue":null,"work_id":"522b4f9a-4514-4b4d-9e72-f279e5a499ab","year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.378491Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:eac3ba65bbb456a690b771d443b057797a41587f7a6484f3fcce3a74538fcc7c","observation_id":"f865c4ba-605c-4c6e-9f0b-10f05c6775da","resolution":{"observed_at":"2026-08-16T04:46:18.616393Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:18.586300Z","title":"Conference on Robot Learning , year=","venue":null,"work_id":"8e52e292-0e17-4f27-a13c-e89753376c96","year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.384120Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:5c2064579d7423d75c642883254e76e06f789c97523847baa4086f3291fbc272","observation_id":"0e67be92-7bba-4a28-abd0-e1a2c3f5ed80","resolution":{"observed_at":"2026-08-16T04:46:18.592341Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:18.564221Z","title":"Task-Oriented Grasp Prediction with Visual-Language Inputs , year=","venue":null,"work_id":"3f1382ab-cfee-4953-a7ec-b2218ee76ed1","year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.389029Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:9c03d8eaabd715792fbb62a9628759d9108181735a61bc9894b58f79cdb327db","observation_id":"0b49cdba-20a6-4946-8fe7-d3ae5c68d97a","resolution":{"observed_at":"2026-08-16T04:46:18.573518Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:18.537375Z","title":"AffordGrasp: In-Context Affordance Reasoning for Open-Vocabulary Task-Oriented Grasping in Clutter , year=","venue":null,"work_id":"7cb4b605-3e26-4b98-92bb-5ec4e565a412","year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.393898Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:5b08bfdc5bdd9dc6edddf7f5aaef36eeb8db32203fa9308cda981bde5f34a833","observation_id":"907b8ccc-da79-4210-b5bd-4ddde3ece300","resolution":{"observed_at":"2026-08-16T04:46:18.544567Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:18.514024Z","title":"Open-Vocabulary Functional 3D Scene Graphs for Real-World Indoor Spaces , year=","venue":null,"work_id":"bc302a73-aaeb-4eeb-87c2-3db5496bea9e","year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.399626Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:e8204cbe5d5c703776491c0caf1cc01d39e152b9c3edad126649911010861bdc","observation_id":"446f1a42-d7b8-4715-bda5-a15d7d457c78","resolution":{"observed_at":"2026-08-16T04:46:18.518635Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:18.496663Z","title":", journal=","venue":null,"work_id":"18f2d513-aaaa-47bd-822d-a3f923c607b8","year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.403602Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:2bc57ec46eec1e68aac5937079729f44a59681615c9a29876aa50ec82bfff65b","observation_id":"c811797e-075c-4cf1-995a-a31e1ed56e38","resolution":{"observed_at":"2026-08-16T04:46:18.502437Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:18.474534Z","title":"International Journal of Computer Vision , year =","venue":null,"work_id":"69cf561f-1835-44d3-b9fd-6ffca3eb4f54","year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.408369Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:3ba18fcbbd613f62497c30f71adacb18650dfbefa2ccee4d2b1db5d79717f502","observation_id":"499dbb67-cbb3-42cd-8d8d-97aa51e0884a","resolution":{"observed_at":"2026-08-16T04:46:18.479743Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:18.454619Z","title":"and Aakur, Sathyanarayanan N","venue":null,"work_id":"4316c767-d593-4585-9517-254ec6e01235","year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.413275Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:790305d8833ab3ae707431ec06d5870632e3e9a9544d4430cde0bf3c17d80f40","observation_id":"0ae8008b-4b0e-40ca-84aa-5c263ce14543","resolution":{"observed_at":"2026-08-16T04:46:18.459923Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2006.13171","last_updated":"2020-08-30T04:28:13Z","snapshot_observed_at":"2026-08-18T16:20:55.129945Z","submitted_at":"2020-06-23T17:18:54Z","title":"ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.13171","snapshot_observed_at":"2026-08-16T04:46:17.418054Z","title":"arXiv preprint arXiv:2006.13171 , year=","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.418054Z"},"links":{"cited_paper":"/paper/2006.13171","citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:79f052df10c393f2f8e5da0c6b4e0224da9c84374bcd3f58d76e97c96588d73a","observation_id":"06f6aa35-95bc-444b-b596-5f3fbaf517ec","resolution":{"observed_at":"2026-08-16T04:46:17.418054Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.05021","last_updated":"2025-08-07T04:15:08Z","snapshot_observed_at":"2026-08-18T16:08:17.864457Z","submitted_at":"2025-08-07T04:15:08Z","title":"MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding","version":1},"cited_work":{"arxiv_id":"2508.05021","doi":null,"metadata_source":"pith","pith_arxiv_id":"2508.05021","snapshot_observed_at":"2026-08-16T04:46:17.919377Z","title":"MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding","venue":"cs.RO","work_id":"de8bb744-ea9d-49cf-b2f3-716ab010beee","year":2025},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.423588Z"},"links":{"cited_paper":"/paper/2508.05021","citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:1d400a69ff32ddddcc06a7c44e2982f985732dc62204c36f8899514cfcb62b95","observation_id":"b9491470-0ce7-4b06-af38-7e85ac8766cd","resolution":{"observed_at":"2026-08-16T04:46:17.924582Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:18.437824Z","title":"Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , month =","venue":null,"work_id":"9ed8582d-7edd-4c9f-b4c5-bd5c19b1908f","year":2024},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.428648Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:48c6d73ec49167f60b1834b1769090695aa6d4e872a406c1d9e7ee4d77ceea85","observation_id":"07e7378e-d00d-454a-8527-71873ede4162","resolution":{"observed_at":"2026-08-16T04:46:18.445373Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:18.421004Z","title":"IEEE Robotics and Automation Letters , year =","venue":null,"work_id":"671b7564-50cd-4d4b-8e3d-df2cf7afcae8","year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.433963Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:9d986f583545ba6590b1f97c8ab7fd06dcc91a121aab6eea357b8c017ef343f4","observation_id":"d8b9ace3-639c-4639-8349-fcab130d9ce8","resolution":{"observed_at":"2026-08-16T04:46:18.425545Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:18.402526Z","title":"arXiv , year =","venue":null,"work_id":"f692802f-28e0-437d-92b9-08817fbf5fea","year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.439046Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:197475e56354e20e255603ce973092a5ee5cd965817998d11ffe7b36460f8c24","observation_id":"732c6fac-73f4-45c5-9ee1-c37ed5750b2d","resolution":{"observed_at":"2026-08-16T04:46:18.409019Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:18.384031Z","title":"Next Best Sense: Guiding Vision and Touch with FisherRF for 3D Gaussian Splatting , year=","venue":null,"work_id":"74c59b0a-08a0-486f-9c52-7544c4fb5f10","year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.443338Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:cb0ae1b9a32f71bdc899cbda6c5c7f71715cc06b3131eb2b1018afd7fc0ba59f","observation_id":"a0707d39-719f-48d9-920c-220f9ec64591","resolution":{"observed_at":"2026-08-16T04:46:18.390628Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2511.04199","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:17.892185Z","title":"arXiv preprint arXiv:2511.04199 , year=","venue":null,"work_id":"3009d4da-afa7-433e-95dc-2e84dfa792a9","year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.453036Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:89b438be9f496f2d2257282410693db73a67e4cb791953a3d702c0740829be50","observation_id":"7b2ff7f0-d55e-4ddf-a168-09a82630c8cf","resolution":{"observed_at":"2026-08-16T04:46:17.901900Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:18.367365Z","title":"Proceedings of the 36th Annual Conference of the Cognitive Science Society , year =","venue":null,"work_id":"2ce5cf92-1d5e-4df9-93f3-bfb5f496efbe","year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.458110Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:a31e588e6f25a226ff885956197b8e6dd27e2ecdea30bfdecd55d5d69b75e908","observation_id":"754e7e25-eb1d-4cd7-9d04-c95cf51a793a","resolution":{"observed_at":"2026-08-16T04:46:18.373866Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:18.351192Z","title":"Advances in Variational Inference , year=","venue":null,"work_id":"1f7bf0da-df27-4d49-9e71-cc2b3874e2d3","year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.462124Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:e41936aabac1597fdcb2aac3cc9bfcd06724808f48340e4ed14ea24e73940e5e","observation_id":"40a6e9d6-623e-4173-bb33-ed229399dd12","resolution":{"observed_at":"2026-08-16T04:46:18.355387Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:18.337858Z","title":"Journal of Artificial Intelligence Research , volume=","venue":null,"work_id":"bcee5a1a-6cd1-45be-bd9b-b078d2ef7fdb","year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.468111Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:893edaf86afbbdbeeecb5da14bf77a6d60c5684b6ef85f6e927b275583f8fcc8","observation_id":"5a5015f0-ff34-44b1-a7c2-4da46c14f37b","resolution":{"observed_at":"2026-08-16T04:46:18.342250Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:17.474477Z","title":"Entropy-Gated Branching for Efficient Test-Time Reasoning","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.474477Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:75d748f3989c3bb61f6332c0fac18f0483f2162d9a17d1b8d6101ebcba863e5b","observation_id":"4e79c1d0-825f-4a67-97b5-b6d882525c88","resolution":{"observed_at":"2026-08-16T04:46:17.474477Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2601.04442","last_updated":"2026-04-15T06:39:57Z","snapshot_observed_at":"2026-07-06T22:41:05.793337Z","submitted_at":"2026-01-07T23:05:17Z","title":"Addressing Overthinking in Large Vision-Language Models via Gated Perception-Reasoning Optimization","version":2},"cited_work":{"arxiv_id":"2601.04442","doi":null,"metadata_source":"pith","pith_arxiv_id":"2601.04442","snapshot_observed_at":"2026-08-16T04:46:17.768821Z","title":"Addressing Overthinking in Large Vision-Language Models via Gated Perception-Reasoning Optimization","venue":"cs.CV","work_id":"25d88bae-bb0e-427f-9885-3013d76c7b83","year":2026},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.479659Z"},"links":{"cited_paper":"/paper/2601.04442","citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:795e43eda2dc1ca0f40c4eef9b1da67986e6f567ed58ef4f833b691e70c54a43","observation_id":"29837b30-6947-46d3-928b-99e21b05aa50","resolution":{"observed_at":"2026-08-16T04:46:17.775874Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:18.323038Z","title":"Think or Not? Selective Reasoning via Reinforcement Learning for Vision-Language Models , url =","venue":null,"work_id":"7e081774-f074-45f8-abd2-c3b0fb1ba22d","year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.485295Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:7c8ece65ea87110118266641c42526c61c2aac24f36e4f4c5967ac249b2d65a8","observation_id":"eef797da-11ed-4e18-984d-2ef393c5c737","resolution":{"observed_at":"2026-08-16T04:46:18.328420Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:17.491029Z","title":"Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.491029Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:4618aa25611ea106b5992f7aac9128519fa96ef442b7aeb8d04a6e27e0729b5c","observation_id":"dca39817-cd54-430b-977e-327123b42727","resolution":{"observed_at":"2026-08-16T04:46:17.491029Z","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":"2026-08-16T04:46:18.299212Z","title":"ACM Transactions On Graphics (TOG) , volume=","venue":null,"work_id":"d3ca3f36-5bc8-4257-b4a6-01cf47741520","year":2024},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.496320Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:962fdda19136549b3c117eb74a75761103a346f9d7d48bae83dd4aa5574ebe05","observation_id":"8d37a8b2-e2af-4fa7-a617-0498dfc8bcb7","resolution":{"observed_at":"2026-08-16T04:46:18.303326Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:17.501859Z","title":"2018 , copyright =","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.501859Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:265efb14d62c770a9d3c11074fac73e22d1548b659c26df28909ff83f7a7b934","observation_id":"c7552915-8f7d-4588-ac26-6a9ce00c5ff6","resolution":{"observed_at":"2026-08-16T04:46:17.501859Z","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":"2026-08-16T04:46:18.285318Z","title":"Robotics and Autonomous Systems , volume=","venue":null,"work_id":"63b39c3e-9d45-40fd-8af6-e1a597c33b65","year":2000},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.510107Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:45499f54a7e2ab062b8cdf3d9000385362177bd016720c91696cbbe1feff1786","observation_id":"4dcbed75-e36d-4f41-be4f-586819b96140","resolution":{"observed_at":"2026-08-16T04:46:18.290376Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2511.16719","last_updated":"2026-03-28T16:54:56Z","snapshot_observed_at":"2026-08-07T05:59:39.049027Z","submitted_at":"2025-11-20T18:59:56Z","title":"SAM 3: Segment Anything with Concepts","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2511.16719","snapshot_observed_at":"2026-08-16T04:46:17.515327Z","title":"arXiv preprint arXiv:2511.16719 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.515327Z"},"links":{"cited_paper":"/paper/2511.16719","citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:411073489b1ea98fee2a576637865801adc456ce8405ce857e47526174c9962b","observation_id":"0861f6cb-0dad-40e0-a25a-163775c2d90f","resolution":{"observed_at":"2026-08-16T04:46:17.515327Z","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":"2026-08-16T04:46:18.262773Z","title":"Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=","venue":null,"work_id":"2eef8a8c-4fb6-4d51-96fb-1087eec3d13c","year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.528063Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:f4ecf7a5536b354f2ffadb64eede2a691d8cceaa9e1a8191928d9548fdd18960","observation_id":"cce8b1f9-e79e-4870-900c-611aa6b461ba","resolution":{"observed_at":"2026-08-16T04:46:18.266966Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:18.251445Z","title":"Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=","venue":null,"work_id":"c02cd87c-e3a9-4761-84fb-cc632e212a4e","year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.536520Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:59b6dc1f5d83f49a5375253c92cb5f75b18ce934e5254d15804d7f1a1953a2aa","observation_id":"2368949d-8155-415c-babe-54b818877dd3","resolution":{"observed_at":"2026-08-16T04:46:18.255115Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:17.546168Z","title":"3D Gaussian Splatting for Real-Time Radiance Field Rendering , journal =","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.546168Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:f9db0650873efd898b5aaec0e89069626ac84e6fa3dc740272b190467958d2cb","observation_id":"cffcda9f-5859-4fe5-b346-4e9a8a5b3cf3","resolution":{"observed_at":"2026-08-16T04:46:17.546168Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2507.06261","last_updated":"2025-12-19T14:25:46Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-07-07T17:36:04Z","title":"Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.06261","snapshot_observed_at":"2026-08-16T04:46:17.551804Z","title":"arXiv preprint arXiv:2507.06261 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.551804Z"},"links":{"cited_paper":"/paper/2507.06261","citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:fa5e431ac357e4a9ad99377769fb12d4802317a7472d3f2a1fa3ff385242f643","observation_id":"c407d5b9-8a30-44c9-adbd-55aa8958714c","resolution":{"observed_at":"2026-08-16T04:46:17.551804Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-08-13T17:20:44.002518Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-08-16T04:46:17.557048Z","title":"arXiv preprint arXiv:2407.21783 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.557048Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:2c212beb313c2eba1767fac46836f99000ad0e43e9de205369970f5406118460","observation_id":"6f460a73-e9f9-41ee-b41e-24598ad5fcd0","resolution":{"observed_at":"2026-08-16T04:46:17.557048Z","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":"2026-08-16T04:46:18.230760Z","title":"2025 , institution =","venue":null,"work_id":"ba84e47d-6bed-4f34-b626-51d52969a88f","year":2025},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.563593Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:89406fa63451ca8a66123bf2d5e660227bfa07590a13af795c70384a839765e0","observation_id":"b2307bf6-c3f2-4374-b36b-f700f91dc16c","resolution":{"observed_at":"2026-08-16T04:46:18.235339Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:18.214372Z","title":"2026 , url =","venue":null,"work_id":"999c04b2-8ea7-487d-a4d1-ba2b51148711","year":2026},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.570201Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:3ae337de5346a43a2b176441531fef2d9be5d8296825b7cb5479318c18fee9a8","observation_id":"839c92d6-4f3d-466d-b3f4-dced5a7d718e","resolution":{"observed_at":"2026-08-16T04:46:18.220504Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:18.194601Z","title":"2023 , archivePrefix=","venue":null,"work_id":"7c4dd4c5-5f7e-4054-8101-06162e67ae7c","year":2023},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":78,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.574677Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:891eb0f36d497c2340c937f783dbb7a8d806275259f79b06ca0a2d8c556a83cd","observation_id":"310279b8-ecc0-4a75-8da3-26b9eca45796","resolution":{"observed_at":"2026-08-16T04:46:18.200435Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:46:17.586888Z","title":"Advances in Neural Information Processing Systems (NeurIPS) , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":79,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.586888Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:4295e574ceb99fc922b0649b7a607b8a9cb21a5d7083b8dd1a03e1dc99e10da9","observation_id":"0ab67676-219b-4ee1-a5cf-5d3f05c560c8","resolution":{"observed_at":"2026-08-16T04:46:17.586888Z","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":"2026-08-16T04:46:18.163171Z","title":"Habitat:","venue":null,"work_id":"7dbf327e-5c4c-46c5-a623-75c6679f29b6","year":null},"citing_paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition","version":1},"reference_index":80,"source":"arxiv_source","source_observed_at":"2026-08-16T04:46:17.592502Z"},"links":{"citing_paper":"/paper/2608.12683"},"observation_digest":"sha256:d3ca0755304c308d28970e26e83b7237bea51249abe6aeeee9b27cc98c00622f","observation_id":"40189307-f33d-44cc-81cd-138bead9ddf9","resolution":{"observed_at":"2026-08-16T04:46:18.167356Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2608.12683","last_updated":"2026-08-13T00:51:09Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-18T09:08:09.054178Z","submitted_at":"2026-08-13T00:51:09Z","title":"FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition"},"reference_resolution":{"displayed":80,"state_counts":{"malformed_identifier":0,"metadata_mismatch":4,"parse_uncertain":0,"unresolved":26,"verified_exact":3,"verified_fuzzy":47},"total_outbound_references":80},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 80 of 80 outbound references and 0 inbound Pith citation observations for arXiv:2608.12683."}