{"as_of":"2026-08-19T22:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bf4b030036bc747777cf435895d5a0017aeef03c0305266fa2f5c00db39aa866","coverage":[{"denominator":31,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":31,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T10:25:55.798347Z","state":"measured"},{"denominator":31,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":31,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+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/2412.16656/citation-record","integrity":"/paper/2412.16656/integrity","json":"/paper/2412.16656/citation-record.json","paper":"/paper/2412.16656"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T10:25:56.417478Z","title":"V ocapter: V oting- based pose tracking for category-level articulated object via inter-frame priors,","venue":null,"work_id":"fd3c9d9e-30dc-42f9-8b63-b7cedb952578","year":2024},"citing_paper":{"arxiv_id":"2412.16656","last_updated":"2024-12-21T14:57:24Z","snapshot_observed_at":"2026-08-15T00:31:27.191084Z","submitted_at":"2024-12-21T14:57:24Z","title":"Generalizable Articulated Object Perception with Superpoints","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T10:25:55.642430Z"},"links":{"citing_paper":"/paper/2412.16656"},"observation_digest":"sha256:5e871eaf49658af984d4f2737dabb98e2bf5c5af5bd7d8e5d3cd5a99a6637eed","observation_id":"2016c903-aef9-44e7-81e9-f278260e3e16","resolution":{"observed_at":"2026-08-11T10:25:56.423327Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T10:25:56.400018Z","title":"Kpa- tracker: Towards robust and real-time category-level articulated object 6d pose tracking,","venue":null,"work_id":"4f0d9a0b-544c-4d7f-b123-a743cfc631c8","year":2024},"citing_paper":{"arxiv_id":"2412.16656","last_updated":"2024-12-21T14:57:24Z","snapshot_observed_at":"2026-08-15T00:31:27.191084Z","submitted_at":"2024-12-21T14:57:24Z","title":"Generalizable Articulated Object Perception with Superpoints","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T10:25:55.647797Z"},"links":{"citing_paper":"/paper/2412.16656"},"observation_digest":"sha256:c5cb852024e9bdcd7366201dfdd7d7c25c1c83d963c35412786b0ed1246983c1","observation_id":"017774a1-8049-47ae-8c2f-251bf9630dfb","resolution":{"observed_at":"2026-08-11T10:25:56.405575Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.13365","last_updated":"2024-03-20T07:48:32Z","snapshot_observed_at":"2026-08-19T03:43:14.970361Z","submitted_at":"2024-03-20T07:48:32Z","title":"ManiPose: A Comprehensive Benchmark for Pose-aware Object Manipulation in Robotics","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.13365","snapshot_observed_at":"2026-08-11T10:25:55.652727Z","title":"Manipose: A comprehensive benchmark for pose-aware object manipulation in robotics,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.16656","last_updated":"2024-12-21T14:57:24Z","snapshot_observed_at":"2026-08-15T00:31:27.191084Z","submitted_at":"2024-12-21T14:57:24Z","title":"Generalizable Articulated Object Perception with Superpoints","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T10:25:55.652727Z"},"links":{"cited_paper":"/paper/2403.13365","citing_paper":"/paper/2412.16656"},"observation_digest":"sha256:614621692da9fcbe3a8a91a2ef7ace17cbfc7fab46e84eb7dd6cc9f4e8f71c62","observation_id":"65ece37c-82e7-4a6a-a6e6-edceb1926c4a","resolution":{"observed_at":"2026-08-11T10:25:55.652727Z","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":"2026-08-11T10:25:55.658158Z","title":"Gapartnet: Cross-category domain-generalizable object perception and manipulation via generalizable and actionable parts,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.16656","last_updated":"2024-12-21T14:57:24Z","snapshot_observed_at":"2026-08-15T00:31:27.191084Z","submitted_at":"2024-12-21T14:57:24Z","title":"Generalizable Articulated Object Perception with Superpoints","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T10:25:55.658158Z"},"links":{"citing_paper":"/paper/2412.16656"},"observation_digest":"sha256:ef8c4d9019bbd2c6d58f6bfb04c132da88a2924284f5cf592c997642e02efdef","observation_id":"fa478620-0cb7-4084-b545-0c9d16067ed2","resolution":{"observed_at":"2026-08-11T10:25:55.658158Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.12941","last_updated":"2022-09-26T18:24:28Z","snapshot_observed_at":"2026-08-16T16:29:43.598274Z","submitted_at":"2022-09-26T18:24:28Z","title":"End-to-End Affordance Learning for Robotic Manipulation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.12941","snapshot_observed_at":"2026-08-11T10:25:55.663281Z","title":"End- to-end affordance learning for robotic manipulation,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.16656","last_updated":"2024-12-21T14:57:24Z","snapshot_observed_at":"2026-08-15T00:31:27.191084Z","submitted_at":"2024-12-21T14:57:24Z","title":"Generalizable Articulated Object Perception with Superpoints","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T10:25:55.663281Z"},"links":{"cited_paper":"/paper/2209.12941","citing_paper":"/paper/2412.16656"},"observation_digest":"sha256:fca8351e6572187a44243d0109dd015f9057cc990914fd86c8e833c51c25af2b","observation_id":"f5fb9d78-5049-4991-8462-e64f8834ea88","resolution":{"observed_at":"2026-08-11T10:25:55.663281Z","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":"2026-08-11T10:25:55.670296Z","title":"Where2act: From pixels to actions for articulated 3d objects,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.16656","last_updated":"2024-12-21T14:57:24Z","snapshot_observed_at":"2026-08-15T00:31:27.191084Z","submitted_at":"2024-12-21T14:57:24Z","title":"Generalizable Articulated Object Perception with Superpoints","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T10:25:55.670296Z"},"links":{"citing_paper":"/paper/2412.16656"},"observation_digest":"sha256:e4ffbcd0010c2e7f20abb90ab75c52887ecb440863cf9fc5b4be2143f19839e6","observation_id":"ed69884b-1f22-4548-8cc3-8046f76c5d14","resolution":{"observed_at":"2026-08-11T10:25:55.670296Z","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":"2026-08-11T10:25:56.360994Z","title":"Category-level articulated object 9d pose estimation via reinforcement learning,","venue":null,"work_id":"17053288-2f93-4541-9060-ed9738382a32","year":2023},"citing_paper":{"arxiv_id":"2412.16656","last_updated":"2024-12-21T14:57:24Z","snapshot_observed_at":"2026-08-15T00:31:27.191084Z","submitted_at":"2024-12-21T14:57:24Z","title":"Generalizable Articulated Object Perception with Superpoints","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T10:25:55.676079Z"},"links":{"citing_paper":"/paper/2412.16656"},"observation_digest":"sha256:bf0aea47608e85cbf80999825185b31de2b6bdb7f205694a718b0a3eade77610","observation_id":"644c65d5-2421-454c-9bbf-ef259f75cd29","resolution":{"observed_at":"2026-08-11T10:25:56.366388Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.14440","last_updated":"2022-04-01T13:31:19Z","snapshot_observed_at":"2026-08-16T18:14:06.004262Z","submitted_at":"2021-06-28T07:47:31Z","title":"VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.14440","snapshot_observed_at":"2026-08-11T10:25:55.681332Z","title":"Vat-mart: Learning visual action trajectory proposals for manipulating 3d articulated objects,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.16656","last_updated":"2024-12-21T14:57:24Z","snapshot_observed_at":"2026-08-15T00:31:27.191084Z","submitted_at":"2024-12-21T14:57:24Z","title":"Generalizable Articulated Object Perception with Superpoints","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T10:25:55.681332Z"},"links":{"cited_paper":"/paper/2106.14440","citing_paper":"/paper/2412.16656"},"observation_digest":"sha256:4748ec5aaa191a845a6168b8a1cba50ad79fc81cbbc40685aa642c89fde4a7e5","observation_id":"8bcbdf53-6fae-4fe0-8edb-d763f6a99ba4","resolution":{"observed_at":"2026-08-11T10:25:55.681332Z","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":"2026-08-11T10:25:56.343789Z","title":"Where2explore: Few- shot affordance learning for unseen novel categories of articulated objects,","venue":null,"work_id":"d3876ace-dbbd-423e-8bc4-1fe4ffbd1c74","year":2024},"citing_paper":{"arxiv_id":"2412.16656","last_updated":"2024-12-21T14:57:24Z","snapshot_observed_at":"2026-08-15T00:31:27.191084Z","submitted_at":"2024-12-21T14:57:24Z","title":"Generalizable Articulated Object Perception with Superpoints","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T10:25:55.686470Z"},"links":{"citing_paper":"/paper/2412.16656"},"observation_digest":"sha256:86110a6f9749d9bde296dab200477b36af50711baef3563d2b7a9966a5c9159f","observation_id":"a10e4edb-1449-4333-94d5-ee7d927540ef","resolution":{"observed_at":"2026-08-11T10:25:56.349285Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.14937","last_updated":"2025-03-19T23:33:31Z","snapshot_observed_at":"2026-08-16T14:07:28.126723Z","submitted_at":"2024-03-22T03:47:02Z","title":"Survey on Modeling of Human-made Articulated Objects","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.14937","snapshot_observed_at":"2026-08-11T10:25:55.691666Z","title":"Survey on modeling of articulated objects,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.16656","last_updated":"2024-12-21T14:57:24Z","snapshot_observed_at":"2026-08-15T00:31:27.191084Z","submitted_at":"2024-12-21T14:57:24Z","title":"Generalizable Articulated Object Perception with Superpoints","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T10:25:55.691666Z"},"links":{"cited_paper":"/paper/2403.14937","citing_paper":"/paper/2412.16656"},"observation_digest":"sha256:3fd1caa1891185d4859d62b2b1f9a9600db16bf19e4594622fd99b176ee12781","observation_id":"a112e3d9-9265-491a-b913-4a3972bd79b1","resolution":{"observed_at":"2026-08-11T10:25:55.691666Z","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":"2026-08-11T10:25:56.326364Z","title":"Captra: Category-level pose tracking for rigid and articulated objects from point clouds,","venue":null,"work_id":"17584f9b-e902-4b8d-bf05-282f8e4a43ea","year":2021},"citing_paper":{"arxiv_id":"2412.16656","last_updated":"2024-12-21T14:57:24Z","snapshot_observed_at":"2026-08-15T00:31:27.191084Z","submitted_at":"2024-12-21T14:57:24Z","title":"Generalizable Articulated Object Perception with Superpoints","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T10:25:55.697730Z"},"links":{"citing_paper":"/paper/2412.16656"},"observation_digest":"sha256:62dfcff5a49b4a30e5eeb06f36ae6dd98dd49c672887f54a23c07e549c8c08bc","observation_id":"845806db-fa81-4f6f-aa47-ea992ca08b41","resolution":{"observed_at":"2026-08-11T10:25:56.332060Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T10:25:55.702778Z","title":"Screwnet: Category- independent articulation model estimation from depth images using screw theory,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.16656","last_updated":"2024-12-21T14:57:24Z","snapshot_observed_at":"2026-08-15T00:31:27.191084Z","submitted_at":"2024-12-21T14:57:24Z","title":"Generalizable Articulated Object Perception with Superpoints","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T10:25:55.702778Z"},"links":{"citing_paper":"/paper/2412.16656"},"observation_digest":"sha256:bc88c1e0823b4403da9d32731f80cd4e151bc97d290a431d8a47419c708b7781","observation_id":"6b1ffd22-0e24-4c47-9d10-9c88c9113077","resolution":{"observed_at":"2026-08-11T10:25:55.702778Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.12893","last_updated":"2024-05-01T23:57:20Z","snapshot_observed_at":"2026-08-16T15:21:56.865229Z","submitted_at":"2023-06-22T14:00:48Z","title":"FlowBot++: Learning Generalized Articulated Objects Manipulation via Articulation Projection","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.12893","snapshot_observed_at":"2026-08-11T10:25:55.707856Z","title":"Flowbot++: Learning generalized articulated objects manipulation via articulation projection,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.16656","last_updated":"2024-12-21T14:57:24Z","snapshot_observed_at":"2026-08-15T00:31:27.191084Z","submitted_at":"2024-12-21T14:57:24Z","title":"Generalizable Articulated Object Perception with Superpoints","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T10:25:55.707856Z"},"links":{"cited_paper":"/paper/2306.12893","citing_paper":"/paper/2412.16656"},"observation_digest":"sha256:f0175d6995c35290db45be17bff5574cc3199eece019cca6f085db3bc18adf83","observation_id":"ebd38056-83dc-40ac-8484-916dca1a9814","resolution":{"observed_at":"2026-08-11T10:25:55.707856Z","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":"2026-08-11T10:25:55.713316Z","title":"Ditto: Building digital twins of articulated objects from interaction,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.16656","last_updated":"2024-12-21T14:57:24Z","snapshot_observed_at":"2026-08-15T00:31:27.191084Z","submitted_at":"2024-12-21T14:57:24Z","title":"Generalizable Articulated Object Perception with Superpoints","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T10:25:55.713316Z"},"links":{"citing_paper":"/paper/2412.16656"},"observation_digest":"sha256:6bb7bce47ccf3a2ed75b4a501cc7374a158f66a3a897861c32f87b710b153315","observation_id":"fffe2ebc-5df8-4da8-b594-8775fbdd13fc","resolution":{"observed_at":"2026-08-11T10:25:55.713316Z","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":"2026-08-11T10:25:56.285990Z","title":"Gamma: Generalizable articulation modeling and manipulation for articulated objects,","venue":null,"work_id":"dc504b8a-22db-47aa-808d-8620a69021f5","year":2024},"citing_paper":{"arxiv_id":"2412.16656","last_updated":"2024-12-21T14:57:24Z","snapshot_observed_at":"2026-08-15T00:31:27.191084Z","submitted_at":"2024-12-21T14:57:24Z","title":"Generalizable Articulated Object Perception with Superpoints","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T10:25:55.718246Z"},"links":{"citing_paper":"/paper/2412.16656"},"observation_digest":"sha256:f35f60c874f06ab187f0f8fd1f1d154097f6610ec8aad6fbe8beb7a291be5f51","observation_id":"6dd1c3ad-5b97-4843-9ead-01b72371dcf7","resolution":{"observed_at":"2026-08-11T10:25:56.291574Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T10:25:56.268710Z","title":"Pointnet++: Deep hierarchical feature learning on point sets in a metric space,","venue":null,"work_id":"f664fd42-456e-43f3-8647-89b6defa2fa4","year":2017},"citing_paper":{"arxiv_id":"2412.16656","last_updated":"2024-12-21T14:57:24Z","snapshot_observed_at":"2026-08-15T00:31:27.191084Z","submitted_at":"2024-12-21T14:57:24Z","title":"Generalizable Articulated Object Perception with Superpoints","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T10:25:55.723394Z"},"links":{"citing_paper":"/paper/2412.16656"},"observation_digest":"sha256:ffb51d3b703f20c742c940f85d586c1928df644f75df4b9337f623fd37dbc58e","observation_id":"82734ad5-b713-4542-a9fe-94a328f33b23","resolution":{"observed_at":"2026-08-11T10:25:56.274529Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T10:25:55.727993Z","title":"Category-level articulated object pose estimation,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.16656","last_updated":"2024-12-21T14:57:24Z","snapshot_observed_at":"2026-08-15T00:31:27.191084Z","submitted_at":"2024-12-21T14:57:24Z","title":"Generalizable Articulated Object Perception with Superpoints","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T10:25:55.727993Z"},"links":{"citing_paper":"/paper/2412.16656"},"observation_digest":"sha256:f0e43e292c75c8f6f74eaaed15a9f353b945e39251b079d0c1185c3ca163b033","observation_id":"1512866b-3aae-4f20-a3d8-566c054bd41d","resolution":{"observed_at":"2026-08-11T10:25:55.727993Z","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":"2026-08-11T10:25:56.119160Z","title":"Rethinking 3d convolution in ℓp-norm space,","venue":null,"work_id":"2760bea8-d768-437a-9a02-beb39635055a","year":2024},"citing_paper":{"arxiv_id":"2412.16656","last_updated":"2024-12-21T14:57:24Z","snapshot_observed_at":"2026-08-15T00:31:27.191084Z","submitted_at":"2024-12-21T14:57:24Z","title":"Generalizable Articulated Object Perception with Superpoints","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T10:25:55.732847Z"},"links":{"citing_paper":"/paper/2412.16656"},"observation_digest":"sha256:eb95ac5a138d1d9ccbea13242bbbd49ec621f2bbdbb42f2f18b6d97a6f1355ab","observation_id":"6164bf54-0ba2-4965-8902-92dfec268616","resolution":{"observed_at":"2026-08-11T10:25:56.246081Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T10:25:56.102405Z","title":"Efficient 3d semantic segmentation with superpoint transformer,","venue":null,"work_id":"a4ef0928-3793-4537-833e-74a98082b7e7","year":2023},"citing_paper":{"arxiv_id":"2412.16656","last_updated":"2024-12-21T14:57:24Z","snapshot_observed_at":"2026-08-15T00:31:27.191084Z","submitted_at":"2024-12-21T14:57:24Z","title":"Generalizable Articulated Object Perception with Superpoints","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T10:25:55.737902Z"},"links":{"citing_paper":"/paper/2412.16656"},"observation_digest":"sha256:e766df6d42124ab6ce89ead62381fa7c86836ab326be31e56a3399c66b5ba342","observation_id":"c7c09eb0-303a-4acb-b425-04a53bf58340","resolution":{"observed_at":"2026-08-11T10:25:56.107925Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T10:25:56.085614Z","title":"Superpoint network for point cloud oversegmentation,","venue":null,"work_id":"c40148d0-578a-4633-9b1b-147f9fec7388","year":2021},"citing_paper":{"arxiv_id":"2412.16656","last_updated":"2024-12-21T14:57:24Z","snapshot_observed_at":"2026-08-15T00:31:27.191084Z","submitted_at":"2024-12-21T14:57:24Z","title":"Generalizable Articulated Object Perception with Superpoints","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T10:25:55.742854Z"},"links":{"citing_paper":"/paper/2412.16656"},"observation_digest":"sha256:08ba93196ebd2e1ea4bf6b13fd2de192ed8e357a56fd6ed603a685c5dfee3316","observation_id":"40c690c8-f027-4949-b641-e60e47646e9f","resolution":{"observed_at":"2026-08-11T10:25:56.091160Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T10:25:55.748059Z","title":"Oneformer3d: One transformer for unified point cloud segmentation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.16656","last_updated":"2024-12-21T14:57:24Z","snapshot_observed_at":"2026-08-15T00:31:27.191084Z","submitted_at":"2024-12-21T14:57:24Z","title":"Generalizable Articulated Object Perception with Superpoints","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T10:25:55.748059Z"},"links":{"citing_paper":"/paper/2412.16656"},"observation_digest":"sha256:0d3f4bf23af911298351adc7ae36275c0853afa5b15041f1cf4f22df446fc752","observation_id":"335137c7-2498-4b6a-a047-150e28660d93","resolution":{"observed_at":"2026-08-11T10:25:55.748059Z","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":"2026-08-11T10:25:55.752977Z","title":"Segment anything,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.16656","last_updated":"2024-12-21T14:57:24Z","snapshot_observed_at":"2026-08-15T00:31:27.191084Z","submitted_at":"2024-12-21T14:57:24Z","title":"Generalizable Articulated Object Perception with Superpoints","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T10:25:55.752977Z"},"links":{"citing_paper":"/paper/2412.16656"},"observation_digest":"sha256:938049dc0e1a08cc6b56a940d0250e1f72cac4d89a121ab6c0eb8279fa86c668","observation_id":"19a273cd-5b76-4108-b334-b8b59e3628bb","resolution":{"observed_at":"2026-08-11T10:25:55.752977Z","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":"2026-08-11T10:25:55.758148Z","title":"Point transformer v2: Grouped vector attention and partition-based pooling,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.16656","last_updated":"2024-12-21T14:57:24Z","snapshot_observed_at":"2026-08-15T00:31:27.191084Z","submitted_at":"2024-12-21T14:57:24Z","title":"Generalizable Articulated Object Perception with Superpoints","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T10:25:55.758148Z"},"links":{"citing_paper":"/paper/2412.16656"},"observation_digest":"sha256:963d28141c82c42167e2ee29d9585194cea73be88dfd439c92cc52f752fbe978","observation_id":"3de6bdb0-34ed-4450-babb-7452379b7f3a","resolution":{"observed_at":"2026-08-11T10:25:55.758148Z","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":"2026-08-11T10:25:56.038151Z","title":"Weakly supervised segmentation-aided classification of urban scenes from 3d lidar point clouds,","venue":null,"work_id":"e73e0ea9-9c16-4502-a3c4-caf52227c653","year":2017},"citing_paper":{"arxiv_id":"2412.16656","last_updated":"2024-12-21T14:57:24Z","snapshot_observed_at":"2026-08-15T00:31:27.191084Z","submitted_at":"2024-12-21T14:57:24Z","title":"Generalizable Articulated Object Perception with Superpoints","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T10:25:55.763037Z"},"links":{"citing_paper":"/paper/2412.16656"},"observation_digest":"sha256:31197d4105facf79c95d06f79527f3ee4a28bb8a75341b7976cc89aad85669e2","observation_id":"f898d32b-3266-433a-a553-da07e880ad68","resolution":{"observed_at":"2026-08-11T10:25:56.043601Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T10:25:56.020819Z","title":"Superpoint transformer for 3d scene instance segmentation,","venue":null,"work_id":"3eb5fa7c-fa4f-4309-9427-ee324af66efa","year":2023},"citing_paper":{"arxiv_id":"2412.16656","last_updated":"2024-12-21T14:57:24Z","snapshot_observed_at":"2026-08-15T00:31:27.191084Z","submitted_at":"2024-12-21T14:57:24Z","title":"Generalizable Articulated Object Perception with Superpoints","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T10:25:55.767779Z"},"links":{"citing_paper":"/paper/2412.16656"},"observation_digest":"sha256:6acc41cd8989522b56dd6d22f9185245da9b51deba5a2d95cf2b7c1210f54494","observation_id":"7c924bca-d5d1-4782-88d5-589f99623e02","resolution":{"observed_at":"2026-08-11T10:25:56.026775Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T10:25:56.001597Z","title":"Query refinement transformer for 3d instance segmentation,","venue":null,"work_id":"6a12ef4b-f2d8-4287-8600-4e499fc52a11","year":2023},"citing_paper":{"arxiv_id":"2412.16656","last_updated":"2024-12-21T14:57:24Z","snapshot_observed_at":"2026-08-15T00:31:27.191084Z","submitted_at":"2024-12-21T14:57:24Z","title":"Generalizable Articulated Object Perception with Superpoints","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T10:25:55.772820Z"},"links":{"citing_paper":"/paper/2412.16656"},"observation_digest":"sha256:844ff12a5166bd58cf39ee22be27a2287901524fa678d367fa9e375d27b8ad1a","observation_id":"f2d1bfe4-29b9-41d2-979c-9e888355e6a1","resolution":{"observed_at":"2026-08-11T10:25:56.008642Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T10:25:55.984004Z","title":"Sapien: A simulated part-based interactive environment,","venue":null,"work_id":"22e9f0f9-aa7b-4f35-b9b7-96921737c1e9","year":2020},"citing_paper":{"arxiv_id":"2412.16656","last_updated":"2024-12-21T14:57:24Z","snapshot_observed_at":"2026-08-15T00:31:27.191084Z","submitted_at":"2024-12-21T14:57:24Z","title":"Generalizable Articulated Object Perception with Superpoints","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T10:25:55.778145Z"},"links":{"citing_paper":"/paper/2412.16656"},"observation_digest":"sha256:edf4ddf3e80d69d8111677bfd10d1d87d4a225dfe601188244646c0b87dc9b4f","observation_id":"fe9a7f41-611d-4cb6-9127-05874d4d8c76","resolution":{"observed_at":"2026-08-11T10:25:55.990044Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T10:25:55.783061Z","title":"Scannet: Richly-annotated 3d reconstructions of indoor scenes,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.16656","last_updated":"2024-12-21T14:57:24Z","snapshot_observed_at":"2026-08-15T00:31:27.191084Z","submitted_at":"2024-12-21T14:57:24Z","title":"Generalizable Articulated Object Perception with Superpoints","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T10:25:55.783061Z"},"links":{"citing_paper":"/paper/2412.16656"},"observation_digest":"sha256:3086fe7cde80d3f43c7ddd5b1c3de45fca79a972aa3dbecafe6bf65966302c6e","observation_id":"e1d445ee-ce5d-4e02-8fe4-20863dbdae2a","resolution":{"observed_at":"2026-08-11T10:25:55.783061Z","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":"2026-08-11T10:25:55.956250Z","title":"Pointgroup: Dual- set point grouping for 3d instance segmentation,","venue":null,"work_id":"a83c567a-58c8-4f76-95ef-51f76389739b","year":2020},"citing_paper":{"arxiv_id":"2412.16656","last_updated":"2024-12-21T14:57:24Z","snapshot_observed_at":"2026-08-15T00:31:27.191084Z","submitted_at":"2024-12-21T14:57:24Z","title":"Generalizable Articulated Object Perception with Superpoints","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T10:25:55.788513Z"},"links":{"citing_paper":"/paper/2412.16656"},"observation_digest":"sha256:a945398de11ebff3d6935c87df1c0a66f38be2d3b943df54f0611d45dd4fc514","observation_id":"e884f546-d067-4ff5-9273-31df8982b1cf","resolution":{"observed_at":"2026-08-11T10:25:55.961761Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T10:25:55.939403Z","title":"Softgroup for 3d instance segmentation on point clouds,","venue":null,"work_id":"ec54bd4e-badf-4281-a641-c04f887745ed","year":2022},"citing_paper":{"arxiv_id":"2412.16656","last_updated":"2024-12-21T14:57:24Z","snapshot_observed_at":"2026-08-15T00:31:27.191084Z","submitted_at":"2024-12-21T14:57:24Z","title":"Generalizable Articulated Object Perception with Superpoints","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T10:25:55.793362Z"},"links":{"citing_paper":"/paper/2412.16656"},"observation_digest":"sha256:9c313961f4173bcd76ab7540ed78f736623c54c44a6e1436b0024825c88103ca","observation_id":"32e7c740-eeea-4f2c-815a-93d4975f033b","resolution":{"observed_at":"2026-08-11T10:25:55.945247Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T10:25:55.919005Z","title":"Autogpart: Intermediate supervision search for generalizable 3d part segmentation,","venue":null,"work_id":"c9cca35d-7023-41a3-a81e-c1457e6b9cdc","year":2022},"citing_paper":{"arxiv_id":"2412.16656","last_updated":"2024-12-21T14:57:24Z","snapshot_observed_at":"2026-08-15T00:31:27.191084Z","submitted_at":"2024-12-21T14:57:24Z","title":"Generalizable Articulated Object Perception with Superpoints","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T10:25:55.798347Z"},"links":{"citing_paper":"/paper/2412.16656"},"observation_digest":"sha256:99e741b8fd3bccaa6438d35fd7d238cb42685026c5b883e39bd19f8a2b337c77","observation_id":"67a7c034-2b9c-4f81-b0c3-68e2b81ba0bf","resolution":{"observed_at":"2026-08-11T10:25:55.928002Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.16656","last_updated":"2024-12-21T14:57:24Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-15T00:31:27.191084Z","submitted_at":"2024-12-21T14:57:24Z","title":"Generalizable Articulated Object Perception with Superpoints"},"reference_resolution":{"displayed":31,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":14,"verified_exact":0,"verified_fuzzy":17},"total_outbound_references":31},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2412.16656."}