{"as_of":"2026-08-09T09:14:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a48242d50a74253f3939cc4fb876106df327182478cfa75d233e40c49a4989e6","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:32:16.822180Z","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":"2026-05-11T04:15:35.881335Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2206.08686","last_updated":"2022-10-11T09:08:26Z","snapshot_observed_at":"2026-07-06T13:21:57.238438Z","submitted_at":"2022-06-17T11:09:06Z","title":"Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning","version":2},"cited_work":{"arxiv_id":"2206.08686","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2206.08686","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Towards human-level bimanual dexterous manipulation with rein- forcement learning","venue":null,"work_id":"823a3c78-73e2-4e35-9203-063453cfc2a0","year":2022},"citing_paper":{"arxiv_id":"2304.13705","last_updated":"2023-04-23T19:10:53Z","snapshot_observed_at":"2026-08-03T01:22:01.078078Z","submitted_at":"2023-04-23T19:10:53Z","title":"Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-11T04:15:35.550350Z"},"links":{"cited_paper":"/paper/2206.08686","citing_paper":"/paper/2304.13705"},"observation_digest":"sha256:b13b11aff8c34012260a210a6c9012f96b2e4edbc019eaf3e09e0dbdafa963cb","observation_id":"7bc55167-4894-4050-9637-4b824b8c96d2","resolution":{"observed_at":"2026-05-11T04:15:35.899998Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.08686","last_updated":"2022-10-11T09:08:26Z","snapshot_observed_at":"2026-07-06T13:21:57.238438Z","submitted_at":"2022-06-17T11:09:06Z","title":"Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.08686","snapshot_observed_at":"2026-08-07T15:32:16.822180Z","title":"Towards human-level bimanual dexterous manipulation with reinforcement learning,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.14819","last_updated":"2025-05-20T18:36:01Z","snapshot_observed_at":"2026-08-08T07:54:07.261185Z","submitted_at":"2025-05-20T18:36:01Z","title":"DORA: Object Affordance-Guided Reinforcement Learning for Dexterous Robotic Manipulation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T15:32:16.822180Z"},"links":{"cited_paper":"/paper/2206.08686","citing_paper":"/paper/2505.14819"},"observation_digest":"sha256:d0d09908cd8fde88af2f3ba2535e5e94069349428fed4ba6402bd9daa0ef4aac","observation_id":"f6f32512-bfbd-445b-a6b9-48e064543c63","resolution":{"observed_at":"2026-08-07T15:32:16.822180Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.08686","last_updated":"2022-10-11T09:08:26Z","snapshot_observed_at":"2026-07-06T13:21:57.238438Z","submitted_at":"2022-06-17T11:09:06Z","title":"Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.08686","snapshot_observed_at":"2026-08-07T06:04:11.859563Z","title":"Towards human-level bimanual dexterous manipulation with reinforcement learning, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.06196","last_updated":"2025-06-06T15:57:48Z","snapshot_observed_at":"2026-08-08T03:36:14.586019Z","submitted_at":"2025-06-06T15:57:48Z","title":"Bridging Perception and Action: Spatially-Grounded Mid-Level Representations for Robot Generalization","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T06:04:11.859563Z"},"links":{"cited_paper":"/paper/2206.08686","citing_paper":"/paper/2506.06196"},"observation_digest":"sha256:880d49d8106cf95cb997bd0a5fc972eafd32d7287e7e7a5f9cbb1d0b4b2b6406","observation_id":"dd2bad11-c156-4878-a78f-7290705ce8b8","resolution":{"observed_at":"2026-08-07T06:04:11.859563Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.08686","last_updated":"2022-10-11T09:08:26Z","snapshot_observed_at":"2026-07-06T13:21:57.238438Z","submitted_at":"2022-06-17T11:09:06Z","title":"Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.08686","snapshot_observed_at":"2026-08-07T00:23:07.321075Z","title":"de Witt, C","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.14164","last_updated":"2025-06-17T03:57:28Z","snapshot_observed_at":"2026-08-07T00:15:55.403596Z","submitted_at":"2025-06-17T03:57:28Z","title":"Light Aircraft Game : Basic Implementation and training results analysis","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-07T00:23:07.321075Z"},"links":{"cited_paper":"/paper/2206.08686","citing_paper":"/paper/2506.14164"},"observation_digest":"sha256:7fa256cc29e3395f8a51357d2c9cc71c5e4758207a68eb00e566bec18103653c","observation_id":"e50c70c0-41c5-4384-993f-6d874788ef74","resolution":{"observed_at":"2026-08-07T00:23:07.321075Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.08686","last_updated":"2022-10-11T09:08:26Z","snapshot_observed_at":"2026-07-06T13:21:57.238438Z","submitted_at":"2022-06-17T11:09:06Z","title":"Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.08686","snapshot_observed_at":"2026-07-31T06:18:55.355348Z","title":"Towards human-level bimanual dexterous manipulation with reinforcement learning","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.24744","last_updated":"2026-07-27T17:59:58Z","snapshot_observed_at":"2026-08-06T17:57:37.442251Z","submitted_at":"2026-07-27T17:59:58Z","title":"Data Pyramid for Embodied Manipulation","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-07-31T06:18:55.355348Z"},"links":{"cited_paper":"/paper/2206.08686","citing_paper":"/paper/2607.24744"},"observation_digest":"sha256:8e0c41a95a0031ab9c1df28178a986e97df6cc4adda4fc0e9d12bdb2d0cd6d15","observation_id":"d4779b05-8849-4f78-8299-27350175ec14","resolution":{"observed_at":"2026-07-31T06:18:55.355348Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2206.08686/citation-record","integrity":"/paper/2206.08686/integrity","json":"/paper/2206.08686/citation-record.json","paper":"/paper/2206.08686"},"outbound":[],"paper":{"arxiv_id":"2206.08686","last_updated":"2022-10-11T09:08:26Z","latest_version":2,"primary_category":"cs.RO","snapshot_observed_at":"2026-07-06T13:21:57.238438Z","submitted_at":"2022-06-17T11:09:06Z","title":"Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2206.08686."}