{"as_of":"2026-08-21T09:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d171baad46c0844da371a53b64a4ace15293eb05a76ca64eb71bc2950d1005f3","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":13,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":13,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":13,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":13,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T18:23:06.513404Z","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":"2026-06-30T13:14:40.600846Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2302.09450","last_updated":"2023-06-01T03:03:22Z","snapshot_observed_at":"2026-08-16T15:54:22.659717Z","submitted_at":"2023-02-19T01:06:09Z","title":"Robust and Versatile Bipedal Jumping Control through Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.09450","snapshot_observed_at":"2026-08-11T21:37:57.473604Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.04273","last_updated":"2024-12-05T15:55:23Z","snapshot_observed_at":"2026-08-15T09:45:01.086754Z","submitted_at":"2024-12-05T15:55:23Z","title":"Reinforcement Learning from Wild Animal Videos","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T21:37:57.473604Z"},"links":{"cited_paper":"/paper/2302.09450","citing_paper":"/paper/2412.04273"},"observation_digest":"sha256:c28c4ccb0366c08a7e2b5e3b24f34a426596313f2520afc5322fc9815f5852e2","observation_id":"c52f7b56-5b82-4a06-a459-53e3e4b0d3c2","resolution":{"observed_at":"2026-08-11T21:37:57.473604Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.09450","last_updated":"2023-06-01T03:03:22Z","snapshot_observed_at":"2026-08-16T15:54:22.659717Z","submitted_at":"2023-02-19T01:06:09Z","title":"Robust and Versatile Bipedal Jumping Control through Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.09450","snapshot_observed_at":"2026-08-11T13:25:01.431432Z","title":"Robust and versatile bipedal jumping control through multi-task re- inforcement learning","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.13196","last_updated":"2025-03-12T00:40:43Z","snapshot_observed_at":"2026-08-19T00:15:15.462456Z","submitted_at":"2024-12-17T18:59:51Z","title":"ExBody2: Advanced Expressive Humanoid Whole-Body Control","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T13:25:01.431432Z"},"links":{"cited_paper":"/paper/2302.09450","citing_paper":"/paper/2412.13196"},"observation_digest":"sha256:63b957ba85b7a6b131c7cd78c860cb6bc8f98141236501e4980e70cfd8dcac95","observation_id":"875cf5a7-8c95-4a55-88b2-1e364a01ecb6","resolution":{"observed_at":"2026-08-11T13:25:01.431432Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.09450","last_updated":"2023-06-01T03:03:22Z","snapshot_observed_at":"2026-08-16T15:54:22.659717Z","submitted_at":"2023-02-19T01:06:09Z","title":"Robust and Versatile Bipedal Jumping Control through Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.09450","snapshot_observed_at":"2026-08-10T17:46:07.485459Z","title":"Robust and versatile bipedal jumping control through reinforce- ment learning,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.11945","last_updated":"2025-01-21T07:41:12Z","snapshot_observed_at":"2026-08-16T10:42:10.944750Z","submitted_at":"2025-01-21T07:41:12Z","title":"Learning to Hop for a Single-Legged Robot with Parallel Mechanism","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T17:46:07.485459Z"},"links":{"cited_paper":"/paper/2302.09450","citing_paper":"/paper/2501.11945"},"observation_digest":"sha256:45c1c5a4438465fec623670541ebd1b7ffbce51cda4be0f7df15b2151a57cb31","observation_id":"8b97db47-0c06-4aae-9009-0420c2b46ea4","resolution":{"observed_at":"2026-08-10T17:46:07.485459Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.09450","last_updated":"2023-06-01T03:03:22Z","snapshot_observed_at":"2026-08-16T15:54:22.659717Z","submitted_at":"2023-02-19T01:06:09Z","title":"Robust and Versatile Bipedal Jumping Control through Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.09450","snapshot_observed_at":"2026-08-10T17:05:08.370079Z","title":"Robust and versatile bipedal jumping control through multi-task rein- forcement learning,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.12594","last_updated":"2025-01-22T02:42:27Z","snapshot_observed_at":"2026-08-20T15:40:30.222129Z","submitted_at":"2025-01-22T02:42:27Z","title":"A 3-Step Optimization Framework with Hybrid Models for a Humanoid Robot's Jump Motion","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T17:05:08.370079Z"},"links":{"cited_paper":"/paper/2302.09450","citing_paper":"/paper/2501.12594"},"observation_digest":"sha256:a33dd62745a6a628c42cd3d8efd1de9305ea3edb63febc44fda28f9fde98cc31","observation_id":"b23376f9-d9ae-4063-8d90-b20d774b6ff1","resolution":{"observed_at":"2026-08-10T17:05:08.370079Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.09450","last_updated":"2023-06-01T03:03:22Z","snapshot_observed_at":"2026-08-16T15:54:22.659717Z","submitted_at":"2023-02-19T01:06:09Z","title":"Robust and Versatile Bipedal Jumping Control through Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.09450","snapshot_observed_at":"2026-08-09T16:31:28.847301Z","title":"Robust and versatile bipedal jumping control through reinforcement learning","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.01143","last_updated":"2025-04-26T03:22:14Z","snapshot_observed_at":"2026-08-20T19:33:12.526162Z","submitted_at":"2025-02-03T08:22:46Z","title":"ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills","version":3},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-09T16:31:28.847301Z"},"links":{"cited_paper":"/paper/2302.09450","citing_paper":"/paper/2502.01143"},"observation_digest":"sha256:18e71c2d07f37e5190165c45b24ba34d67d3316a0e78e6555e5229d1eab12b84","observation_id":"90c311f6-768d-4e5f-9cc6-ee3b4ec87043","resolution":{"observed_at":"2026-08-09T16:31:28.847301Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.09450","last_updated":"2023-06-01T03:03:22Z","snapshot_observed_at":"2026-08-16T15:54:22.659717Z","submitted_at":"2023-02-19T01:06:09Z","title":"Robust and Versatile Bipedal Jumping Control through Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.09450","snapshot_observed_at":"2026-08-07T00:59:55.927600Z","title":"Robust and versatile bipedal jumping control through reinforcement learning,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.12314","last_updated":"2025-06-14T02:29:42Z","snapshot_observed_at":"2026-08-07T00:50:21.553082Z","submitted_at":"2025-06-14T02:29:42Z","title":"Explosive Output to Enhance Jumping Ability: A Variable Reduction Ratio Design Paradigm for Humanoid Robots Knee Joint","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T00:59:55.927600Z"},"links":{"cited_paper":"/paper/2302.09450","citing_paper":"/paper/2506.12314"},"observation_digest":"sha256:dc2bbd8355d3be9cc2118c68fc52733e2b6cff2ee5b21c6c597505c426177e3b","observation_id":"1397e043-9fc8-49f6-90f9-1800c902745b","resolution":{"observed_at":"2026-08-07T00:59:55.927600Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.09450","last_updated":"2023-06-01T03:03:22Z","snapshot_observed_at":"2026-08-16T15:54:22.659717Z","submitted_at":"2023-02-19T01:06:09Z","title":"Robust and Versatile Bipedal Jumping Control through Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.09450","snapshot_observed_at":"2026-08-07T00:44:59.283453Z","title":"Robust and versatile bipedal jumping control through reinforcement learning.arXiv preprint arXiv:2302.09450, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.12851","last_updated":"2026-07-01T07:21:43Z","snapshot_observed_at":"2026-08-19T19:10:09.152844Z","submitted_at":"2025-06-15T13:58:53Z","title":"KungfuBot: Physics-Based Humanoid Whole-Body Control for Learning Highly-Dynamic Skills","version":3},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T00:44:59.283453Z"},"links":{"cited_paper":"/paper/2302.09450","citing_paper":"/paper/2506.12851"},"observation_digest":"sha256:618bb9893ac48eaef9e2722a4277b8c95b330d6d0cb51fb03eb6625f12b23f86","observation_id":"d6eb1826-01ae-4d1f-b2fb-9988c88fab9e","resolution":{"observed_at":"2026-08-07T00:44:59.283453Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.09450","last_updated":"2023-06-01T03:03:22Z","snapshot_observed_at":"2026-08-16T15:54:22.659717Z","submitted_at":"2023-02-19T01:06:09Z","title":"Robust and Versatile Bipedal Jumping Control through Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.09450","snapshot_observed_at":"2026-08-15T18:23:06.513404Z","title":"Robust and versatile bipedal jumping control through multi-task rein- forcement learning,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.18138","last_updated":"2025-07-24T07:00:20Z","snapshot_observed_at":"2026-08-20T08:58:08.729096Z","submitted_at":"2025-07-24T07:00:20Z","title":"A Modular Residual Learning Framework to Enhance Model-Based Approach for Robust Locomotion","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T18:23:06.513404Z"},"links":{"cited_paper":"/paper/2302.09450","citing_paper":"/paper/2507.18138"},"observation_digest":"sha256:07038b025a4af48e8b97a13a8dba3f1e54c0febb12f4a58a2fa81fc5f0e94407","observation_id":"53ecb0a7-d5e3-41a9-b1b0-da4133fd5759","resolution":{"observed_at":"2026-08-15T18:23:06.513404Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.09450","last_updated":"2023-06-01T03:03:22Z","snapshot_observed_at":"2026-08-16T15:54:22.659717Z","submitted_at":"2023-02-19T01:06:09Z","title":"Robust and Versatile Bipedal Jumping Control through Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.09450","snapshot_observed_at":"2026-08-15T17:36:22.512563Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.08982","last_updated":"2025-08-12T14:49:25Z","snapshot_observed_at":"2026-08-18T14:27:09.739192Z","submitted_at":"2025-08-12T14:49:25Z","title":"Unsupervised Skill Discovery as Exploration for Learning Agile Locomotion","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T17:36:22.512563Z"},"links":{"cited_paper":"/paper/2302.09450","citing_paper":"/paper/2508.08982"},"observation_digest":"sha256:7dcb89c9c7046b01a42e2d704ff5f9852579ce4e7891c893d01d779e4afc6d7a","observation_id":"b81a04e2-beb8-4cf7-b54f-0bb784a3e5ac","resolution":{"observed_at":"2026-08-15T17:36:22.512563Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.09450","last_updated":"2023-06-01T03:03:22Z","snapshot_observed_at":"2026-08-16T15:54:22.659717Z","submitted_at":"2023-02-19T01:06:09Z","title":"Robust and Versatile Bipedal Jumping Control through Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.09450","snapshot_observed_at":"2026-08-04T10:44:33.075019Z","title":"Robust and versatile bipedal jumping control through multi-task reinforcement learning,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.08807","last_updated":"2026-07-04T03:31:36Z","snapshot_observed_at":"2026-08-04T10:44:29.379805Z","submitted_at":"2025-10-09T20:43:27Z","title":"Humanoid Everyday: A Comprehensive Robotic Dataset for Open-World Humanoid Manipulation","version":3},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-04T10:44:33.075019Z"},"links":{"cited_paper":"/paper/2302.09450","citing_paper":"/paper/2510.08807"},"observation_digest":"sha256:dfe4a119cadc6fcb1ac283dbc09156eb3db2a8a82c166542fe326f6c40eb8d76","observation_id":"657de0c6-fa92-4cda-8315-f0cae1466ca3","resolution":{"observed_at":"2026-08-04T10:44:33.075019Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.09450","last_updated":"2023-06-01T03:03:22Z","snapshot_observed_at":"2026-08-16T15:54:22.659717Z","submitted_at":"2023-02-19T01:06:09Z","title":"Robust and Versatile Bipedal Jumping Control through Reinforcement Learning","version":2},"cited_work":{"arxiv_id":"2302.09450","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2302.09450","snapshot_observed_at":"2026-06-30T13:14:40.600846Z","title":"Robust and versatile bipedal jumping control through reinforcement learning","venue":null,"work_id":"8471720f-f30c-4710-8ecb-315c2144f3e8","year":2023},"citing_paper":{"arxiv_id":"2604.21355","last_updated":"2026-06-30T15:08:42Z","snapshot_observed_at":"2026-08-12T16:24:48.733326Z","submitted_at":"2026-04-23T07:14:35Z","title":"RPG: Robust Policy Gating for Smooth Multi-Skill Transitions in Humanoid Fighting","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-09T22:15:56.233992Z"},"links":{"cited_paper":"/paper/2302.09450","citing_paper":"/paper/2604.21355"},"observation_digest":"sha256:73a8778dcddc71d357e55a66cb4095b9997b03c146b973a5f12214467de94866","observation_id":"449f6675-cdff-4524-ab5a-0fb1694733f9","resolution":{"observed_at":"2026-05-09T22:49:15.905021Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.09450","last_updated":"2023-06-01T03:03:22Z","snapshot_observed_at":"2026-08-16T15:54:22.659717Z","submitted_at":"2023-02-19T01:06:09Z","title":"Robust and Versatile Bipedal Jumping Control through Reinforcement Learning","version":2},"cited_work":{"arxiv_id":"2302.09450","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2302.09450","snapshot_observed_at":"2026-06-30T13:14:40.600846Z","title":"Robust and versatile bipedal jumping control through reinforcement learning","venue":null,"work_id":"8471720f-f30c-4710-8ecb-315c2144f3e8","year":2023},"citing_paper":{"arxiv_id":"2605.24592","last_updated":"2026-05-23T14:06:06Z","snapshot_observed_at":"2026-08-16T06:30:29.043138Z","submitted_at":"2026-05-23T14:06:06Z","title":"MuGen: Multi-Skill Generative Locomotion Controller for Humanoid Robots","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-06-30T13:12:49.002648Z"},"links":{"cited_paper":"/paper/2302.09450","citing_paper":"/paper/2605.24592"},"observation_digest":"sha256:ed0daeda058cb6e46d98a8ce231e62f72c7ddfd1127db515e8ad6245bac60569","observation_id":"c80c59ba-54d2-4dcb-878c-570df03c4a4b","resolution":{"observed_at":"2026-06-30T13:14:40.602894Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.09450","last_updated":"2023-06-01T03:03:22Z","snapshot_observed_at":"2026-08-16T15:54:22.659717Z","submitted_at":"2023-02-19T01:06:09Z","title":"Robust and Versatile Bipedal Jumping Control through Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.09450","snapshot_observed_at":"2026-08-05T00:59:56.340502Z","title":"Robust and versatile bipedal jumping control through multi-task reinforcement learning. arxiv 2023,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.02653","last_updated":"2026-08-01T06:38:55Z","snapshot_observed_at":"2026-08-15T15:18:24.075396Z","submitted_at":"2026-08-01T06:38:55Z","title":"Light-Loco-Parkour: Versatile Perceptive Whole-Body Locomotion via Multi-Skill Distillation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T00:59:56.340502Z"},"links":{"cited_paper":"/paper/2302.09450","citing_paper":"/paper/2608.02653"},"observation_digest":"sha256:0f9c91d64eb3e7cd77770b6e56a9cf427914da6c5bcf62d2c69f241253d83083","observation_id":"64ac02db-8ab2-4c5d-8f11-b03807d50705","resolution":{"observed_at":"2026-08-05T00:59:56.340502Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2302.09450/citation-record","integrity":"/paper/2302.09450/integrity","json":"/paper/2302.09450/citation-record.json","paper":"/paper/2302.09450"},"outbound":[],"paper":{"arxiv_id":"2302.09450","last_updated":"2023-06-01T03:03:22Z","latest_version":2,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-16T15:54:22.659717Z","submitted_at":"2023-02-19T01:06:09Z","title":"Robust and Versatile Bipedal Jumping Control through 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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2302.09450."}