{"as_of":"2026-08-10T20:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d7b6c574f83d4df5ecd43554f4aa29f5d398ccba225b2971f95ca88833592a64","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":10,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":10,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":10,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":10,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T21:31:05.631019Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-03T20:38:55.343614Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.03045","last_updated":"2025-05-01T21:26:22Z","snapshot_observed_at":"2026-08-10T05:49:49.700458Z","submitted_at":"2025-03-04T22:51:50Z","title":"ArticuBot: Learning Universal Articulated Object Manipulation Policy via Large Scale Simulation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.03045","snapshot_observed_at":"2026-08-04T21:31:05.631019Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.07978","last_updated":"2025-09-09T17:59:02Z","snapshot_observed_at":"2026-08-09T15:37:17.603849Z","submitted_at":"2025-09-09T17:59:02Z","title":"One View, Many Worlds: Single-Image to 3D Object Meets Generative Domain Randomization for One-Shot 6D Pose Estimation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-04T21:31:05.631019Z"},"links":{"cited_paper":"/paper/2503.03045","citing_paper":"/paper/2509.07978"},"observation_digest":"sha256:d769eff5588fafbf9e0eb7089817c0ec408c6f85b4908d4373bf61e710d71d41","observation_id":"6b6c4a8a-4764-4048-bea4-b000af2f78d2","resolution":{"observed_at":"2026-08-04T21:31:05.631019Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.03045","last_updated":"2025-05-01T21:26:22Z","snapshot_observed_at":"2026-08-10T05:49:49.700458Z","submitted_at":"2025-03-04T22:51:50Z","title":"ArticuBot: Learning Universal Articulated Object Manipulation Policy via Large Scale Simulation","version":2},"cited_work":{"arxiv_id":"2503.03045","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.03045","snapshot_observed_at":"2026-07-03T20:38:55.343614Z","title":"Articubot: Learning universal articulated object manipulation policy via large scale simulation","venue":null,"work_id":"88f8672a-1c88-45a7-9a50-2587037783ca","year":2025},"citing_paper":{"arxiv_id":"2602.00937","last_updated":"2026-05-06T16:54:58Z","snapshot_observed_at":"2026-08-02T08:57:24.060251Z","submitted_at":"2026-01-31T23:32:54Z","title":"CLAMP: Contrastive Learning for 3D Multi-View Action-Conditioned Robotic Manipulation Pretraining","version":3},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-16T08:24:44.943709Z"},"links":{"cited_paper":"/paper/2503.03045","citing_paper":"/paper/2602.00937"},"observation_digest":"sha256:bd5fbac13380f1cdc78190f86bfa1acf1cb4aca4d94d9fd97b1dbf4568d59596","observation_id":"4efc20a3-2ae3-405a-8504-20c163574875","resolution":{"observed_at":"2026-05-16T08:27:36.868328Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.03045","last_updated":"2025-05-01T21:26:22Z","snapshot_observed_at":"2026-08-10T05:49:49.700458Z","submitted_at":"2025-03-04T22:51:50Z","title":"ArticuBot: Learning Universal Articulated Object Manipulation Policy via Large Scale Simulation","version":2},"cited_work":{"arxiv_id":"2503.03045","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.03045","snapshot_observed_at":"2026-07-03T20:38:55.343614Z","title":"Articubot: Learning universal articulated object manipulation policy via large scale simulation","venue":null,"work_id":"88f8672a-1c88-45a7-9a50-2587037783ca","year":2025},"citing_paper":{"arxiv_id":"2604.08664","last_updated":"2026-04-09T18:00:05Z","snapshot_observed_at":"2026-07-06T22:57:45.084987Z","submitted_at":"2026-04-09T18:00:05Z","title":"Generative Simulation for Policy Learning in Physical Human-Robot Interaction","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-10T17:06:58.099881Z"},"links":{"cited_paper":"/paper/2503.03045","citing_paper":"/paper/2604.08664"},"observation_digest":"sha256:15bbc23447d926bda598b40c500e708f775478a9f2bfaaf4993bbf18536451f4","observation_id":"b2dfd48f-329d-462c-88dd-80cb9bf8ce68","resolution":{"observed_at":"2026-05-11T07:35:57.580625Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.03045","last_updated":"2025-05-01T21:26:22Z","snapshot_observed_at":"2026-08-10T05:49:49.700458Z","submitted_at":"2025-03-04T22:51:50Z","title":"ArticuBot: Learning Universal Articulated Object Manipulation Policy via Large Scale Simulation","version":2},"cited_work":{"arxiv_id":"2503.03045","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.03045","snapshot_observed_at":"2026-07-03T20:38:55.343614Z","title":"Articubot: Learning universal articulated object manipulation policy via large scale simulation","venue":null,"work_id":"88f8672a-1c88-45a7-9a50-2587037783ca","year":2025},"citing_paper":{"arxiv_id":"2604.11793","last_updated":"2026-04-13T17:55:47Z","snapshot_observed_at":"2026-07-06T23:00:08.171601Z","submitted_at":"2026-04-13T17:55:47Z","title":"Disentangled Point Diffusion for Precise Object Placement","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-05-10T16:00:00.394035Z"},"links":{"cited_paper":"/paper/2503.03045","citing_paper":"/paper/2604.11793"},"observation_digest":"sha256:f68b8d3ccbbbc072ab3f4271b4bedcc3611bb1e410f76496642bf41ad3f33848","observation_id":"1769525c-7def-40f4-a959-414583746568","resolution":{"observed_at":"2026-05-11T09:31:02.555309Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.03045","last_updated":"2025-05-01T21:26:22Z","snapshot_observed_at":"2026-08-10T05:49:49.700458Z","submitted_at":"2025-03-04T22:51:50Z","title":"ArticuBot: Learning Universal Articulated Object Manipulation Policy via Large Scale Simulation","version":2},"cited_work":{"arxiv_id":"2503.03045","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.03045","snapshot_observed_at":"2026-07-03T20:38:55.343614Z","title":"Articubot: Learning universal articulated object manipulation policy via large scale simulation","venue":null,"work_id":"88f8672a-1c88-45a7-9a50-2587037783ca","year":2025},"citing_paper":{"arxiv_id":"2606.08564","last_updated":"2026-06-07T10:41:38Z","snapshot_observed_at":"2026-08-02T02:27:26.406086Z","submitted_at":"2026-06-07T10:41:38Z","title":"Real-IKEA: Physical Fidelity is the Prerequisite for Robust Manipulation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-27T18:18:34.508629Z"},"links":{"cited_paper":"/paper/2503.03045","citing_paper":"/paper/2606.08564"},"observation_digest":"sha256:9de181ff65686a081a4335e4c0314bff9cb48f76ecffc563f68fc939ebd0f2ab","observation_id":"cdfecf8a-190e-4c3d-b7f9-509ff66ee3ae","resolution":{"observed_at":"2026-07-02T23:17:29.886481Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.03045","last_updated":"2025-05-01T21:26:22Z","snapshot_observed_at":"2026-08-10T05:49:49.700458Z","submitted_at":"2025-03-04T22:51:50Z","title":"ArticuBot: Learning Universal Articulated Object Manipulation Policy via Large Scale Simulation","version":2},"cited_work":{"arxiv_id":"2503.03045","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.03045","snapshot_observed_at":"2026-07-03T20:38:55.343614Z","title":"Articubot: Learning universal articulated object manipulation policy via large scale simulation","venue":null,"work_id":"88f8672a-1c88-45a7-9a50-2587037783ca","year":2025},"citing_paper":{"arxiv_id":"2606.10025","last_updated":"2026-06-08T18:08:01Z","snapshot_observed_at":"2026-08-06T17:31:29.409416Z","submitted_at":"2026-06-08T18:08:01Z","title":"GHOST: Hierarchical Sub-Goal Policies for Generalizing Robot Manipulation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-27T16:10:40.130366Z"},"links":{"cited_paper":"/paper/2503.03045","citing_paper":"/paper/2606.10025"},"observation_digest":"sha256:208a52cfaa6c2e4f1202908ce8b3df615114226a342696c0994e35221e545b76","observation_id":"2966cfdc-5f99-4b41-97e0-200e232f8e66","resolution":{"observed_at":"2026-07-03T02:07:33.594467Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.03045","last_updated":"2025-05-01T21:26:22Z","snapshot_observed_at":"2026-08-10T05:49:49.700458Z","submitted_at":"2025-03-04T22:51:50Z","title":"ArticuBot: Learning Universal Articulated Object Manipulation Policy via Large Scale Simulation","version":2},"cited_work":{"arxiv_id":"2503.03045","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.03045","snapshot_observed_at":"2026-07-03T20:38:55.343614Z","title":"Articubot: Learning universal articulated object manipulation policy via large scale simulation","venue":null,"work_id":"88f8672a-1c88-45a7-9a50-2587037783ca","year":2025},"citing_paper":{"arxiv_id":"2606.12365","last_updated":"2026-06-10T17:34:12Z","snapshot_observed_at":"2026-08-02T09:09:52.074746Z","submitted_at":"2026-06-10T17:34:12Z","title":"Ambient Diffusion Policy: Imitation Learning from Suboptimal Data in Robotics","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-06-27T09:52:38.167538Z"},"links":{"cited_paper":"/paper/2503.03045","citing_paper":"/paper/2606.12365"},"observation_digest":"sha256:89ad3b0fe710c8c64a57f2d9632bc5f84be350a53476b0f67d8fd91b8d130edc","observation_id":"08962ed5-ece8-46a0-b275-86715006489b","resolution":{"observed_at":"2026-07-03T10:37:57.285825Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.03045","last_updated":"2025-05-01T21:26:22Z","snapshot_observed_at":"2026-08-10T05:49:49.700458Z","submitted_at":"2025-03-04T22:51:50Z","title":"ArticuBot: Learning Universal Articulated Object Manipulation Policy via Large Scale Simulation","version":2},"cited_work":{"arxiv_id":"2503.03045","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.03045","snapshot_observed_at":"2026-07-03T20:38:55.343614Z","title":"Articubot: Learning universal articulated object manipulation policy via large scale simulation","venue":null,"work_id":"88f8672a-1c88-45a7-9a50-2587037783ca","year":2025},"citing_paper":{"arxiv_id":"2606.17446","last_updated":"2026-06-16T03:00:58Z","snapshot_observed_at":"2026-07-06T23:53:02.028020Z","submitted_at":"2026-06-16T03:00:58Z","title":"AnnotateAnything: Automatic Annotation of 3D Assets for Robot Manipulation","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-06-27T01:15:50.904741Z"},"links":{"cited_paper":"/paper/2503.03045","citing_paper":"/paper/2606.17446"},"observation_digest":"sha256:e9c99d17248cc95855ebc36f44ae791f15686c353c3a31a7296f9a08ad0fe4be","observation_id":"e218fc8a-6559-4c59-9c75-a351273a1bd5","resolution":{"observed_at":"2026-07-03T20:38:55.345085Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.03045","last_updated":"2025-05-01T21:26:22Z","snapshot_observed_at":"2026-08-10T05:49:49.700458Z","submitted_at":"2025-03-04T22:51:50Z","title":"ArticuBot: Learning Universal Articulated Object Manipulation Policy via Large Scale Simulation","version":2},"cited_work":{"arxiv_id":"2503.03045","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.03045","snapshot_observed_at":"2026-07-03T20:38:55.343614Z","title":"Articubot: Learning universal articulated object manipulation policy via large scale simulation","venue":null,"work_id":"88f8672a-1c88-45a7-9a50-2587037783ca","year":2025},"citing_paper":{"arxiv_id":"2606.30749","last_updated":"2026-06-29T18:00:22Z","snapshot_observed_at":"2026-07-07T00:04:34.491408Z","submitted_at":"2026-06-29T18:00:22Z","title":"From Grasps to Dexterity: Large-Scale Grasp Pretraining for Dexterous Manipulation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-01T01:59:30.986555Z"},"links":{"cited_paper":"/paper/2503.03045","citing_paper":"/paper/2606.30749"},"observation_digest":"sha256:ff0b24cee62c037c1354ae54596a7dc09a55d18f1da0121f4601be7639981b7a","observation_id":"68e94852-e8dc-4ebd-9bd9-7b99081f3b9a","resolution":{"observed_at":"2026-07-01T12:35:43.654187Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.03045","last_updated":"2025-05-01T21:26:22Z","snapshot_observed_at":"2026-08-10T05:49:49.700458Z","submitted_at":"2025-03-04T22:51:50Z","title":"ArticuBot: Learning Universal Articulated Object Manipulation Policy via Large Scale Simulation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.03045","snapshot_observed_at":"2026-07-31T13:18:44.582859Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.24493","last_updated":"2026-07-27T14:29:47Z","snapshot_observed_at":"2026-08-09T21:45:21.525668Z","submitted_at":"2026-07-27T14:29:47Z","title":"KAI: A Kinematic-Aware Interface for Data-Efficient Articulated Object Manipulation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-31T13:18:44.582859Z"},"links":{"cited_paper":"/paper/2503.03045","citing_paper":"/paper/2607.24493"},"observation_digest":"sha256:175fb63e5dee4bfa2979d275330936ac1b21185fc61dd8682967a90f507146b9","observation_id":"47dd0372-7ee1-4589-bcb9-ad324a09d09c","resolution":{"observed_at":"2026-07-31T13:18:44.582859Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2503.03045/citation-record","integrity":"/paper/2503.03045/integrity","json":"/paper/2503.03045/citation-record.json","paper":"/paper/2503.03045"},"outbound":[],"paper":{"arxiv_id":"2503.03045","last_updated":"2025-05-01T21:26:22Z","latest_version":2,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-10T05:49:49.700458Z","submitted_at":"2025-03-04T22:51:50Z","title":"ArticuBot: Learning Universal Articulated Object Manipulation Policy via Large Scale Simulation"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2503.03045."}