{"as_of":"2026-08-08T10:14:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0a5a62d3e42da42e7bc645b9cdb2eef695e458553c431c48331f03c9aa5e3ca7","coverage":[{"denominator":30,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":30,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:12:01.725924Z","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":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T11:04:28.111729Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2505.16042","last_updated":"2025-07-10T16:53:20Z","snapshot_observed_at":"2026-08-07T15:05:44.510397Z","submitted_at":"2025-05-21T21:48:51Z","title":"Reference Free Platform Adaptive Locomotion for Quadrupedal Robots using a Dynamics Conditioned Policy","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.16042","snapshot_observed_at":"2026-08-04T11:04:28.111729Z","title":"Reference free platform adaptive locomotion for quadrupedal robots using a dynamics conditioned policy,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.07094","last_updated":"2026-06-23T21:02:45Z","snapshot_observed_at":"2026-08-04T11:04:23.980704Z","submitted_at":"2025-10-08T14:51:42Z","title":"Sampling Strategies for Robust Universal Quadrupedal Locomotion Policies","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-04T11:04:28.111729Z"},"links":{"cited_paper":"/paper/2505.16042","citing_paper":"/paper/2510.07094"},"observation_digest":"sha256:6d38706500fcc16755faa84c9673a7d6d6a4b2980c63af934d3e59a28ab8f312","observation_id":"3793811a-5f70-4596-beff-b328cca3e6b4","resolution":{"observed_at":"2026-08-04T11:04:28.111729Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2505.16042/citation-record","integrity":"/paper/2505.16042/integrity","json":"/paper/2505.16042/citation-record.json","paper":"/paper/2505.16042"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:12:02.662779Z","title":"Dynamic Locomotion Through Online Nonlinear Motion Optimization for Quadrupedal Robots,","venue":null,"work_id":"24d75748-0ed3-42f6-a9f1-e0db3a729d75","year":2018},"citing_paper":{"arxiv_id":"2505.16042","last_updated":"2025-07-10T16:53:20Z","snapshot_observed_at":"2026-08-07T15:05:44.510397Z","submitted_at":"2025-05-21T21:48:51Z","title":"Reference Free Platform Adaptive Locomotion for Quadrupedal Robots using a Dynamics Conditioned Policy","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T15:11:58.855993Z"},"links":{"citing_paper":"/paper/2505.16042"},"observation_digest":"sha256:3e4b52df49db2606d5e842540e04ef5342bf7267be67ad8131acb1549f6f001f","observation_id":"d0ad5e2e-4dcd-483a-8bd6-27998068f998","resolution":{"observed_at":"2026-08-07T15:12:02.668055Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T15:12:02.647429Z","title":"Crocoddyl: An Efficient and Versatile Framework for Multi-Contact Optimal Control,","venue":null,"work_id":"338d1407-e7e0-44ad-b21e-9a69e0892108","year":2020},"citing_paper":{"arxiv_id":"2505.16042","last_updated":"2025-07-10T16:53:20Z","snapshot_observed_at":"2026-08-07T15:05:44.510397Z","submitted_at":"2025-05-21T21:48:51Z","title":"Reference Free Platform Adaptive Locomotion for Quadrupedal Robots using a Dynamics Conditioned Policy","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T15:11:58.947343Z"},"links":{"citing_paper":"/paper/2505.16042"},"observation_digest":"sha256:eff3d16f6590b558c9c4591956936c759ae11260c08b4dd548160c5210394233","observation_id":"ee976adb-d0f9-4b18-8d59-3ab20012a9e6","resolution":{"observed_at":"2026-08-07T15:12:02.652609Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T15:11:59.046933Z","title":"Learning agile and dynamic motor skills for legged robots,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.16042","last_updated":"2025-07-10T16:53:20Z","snapshot_observed_at":"2026-08-07T15:05:44.510397Z","submitted_at":"2025-05-21T21:48:51Z","title":"Reference Free Platform Adaptive Locomotion for Quadrupedal Robots using a Dynamics Conditioned Policy","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T15:11:59.046933Z"},"links":{"citing_paper":"/paper/2505.16042"},"observation_digest":"sha256:b89c4d838f393e8be746231a64357e4f9fefaeadeaa7d8ca22366778163c7aa3","observation_id":"771b7ee0-6a58-4778-ad9a-7833c15b877c","resolution":{"observed_at":"2026-08-07T15:11:59.046933Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2012.03094","last_updated":"2022-05-11T18:48:32Z","snapshot_observed_at":"2026-07-06T10:21:02.061966Z","submitted_at":"2020-12-05T18:30:23Z","title":"RLOC: Terrain-Aware Legged Locomotion using Reinforcement Learning and Optimal Control","version":3},"cited_work":{"arxiv_id":"2012.03094","doi":null,"metadata_source":"pith","pith_arxiv_id":"2012.03094","snapshot_observed_at":"2026-08-07T15:12:02.435331Z","title":"RLOC: Terrain-Aware Legged Locomotion using Reinforcement Learning and Optimal Control","venue":"cs.RO","work_id":"57f05d57-98f3-499c-ab6a-d0e359b7eaec","year":2020},"citing_paper":{"arxiv_id":"2505.16042","last_updated":"2025-07-10T16:53:20Z","snapshot_observed_at":"2026-08-07T15:05:44.510397Z","submitted_at":"2025-05-21T21:48:51Z","title":"Reference Free Platform Adaptive Locomotion for Quadrupedal Robots using a Dynamics Conditioned Policy","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T15:11:59.149026Z"},"links":{"cited_paper":"/paper/2012.03094","citing_paper":"/paper/2505.16042"},"observation_digest":"sha256:3022825a46d1303d4a35ed985850c1cd935eb88051dfeac2b93302618f78913e","observation_id":"213a9306-4331-4070-a8cb-340ae46fa242","resolution":{"observed_at":"2026-08-07T15:12:02.441502Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2004.00784","last_updated":"2020-07-21T00:59:24Z","snapshot_observed_at":"2026-07-06T09:09:18.723029Z","submitted_at":"2020-04-02T02:56:16Z","title":"Learning Agile Robotic Locomotion Skills by Imitating Animals","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.00784","snapshot_observed_at":"2026-08-07T15:11:59.201231Z","title":"Learning agile robotic locomotion skills by imitating animals,","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2505.16042","last_updated":"2025-07-10T16:53:20Z","snapshot_observed_at":"2026-08-07T15:05:44.510397Z","submitted_at":"2025-05-21T21:48:51Z","title":"Reference Free Platform Adaptive Locomotion for Quadrupedal Robots using a Dynamics Conditioned Policy","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T15:11:59.201231Z"},"links":{"cited_paper":"/paper/2004.00784","citing_paper":"/paper/2505.16042"},"observation_digest":"sha256:0ce004009225b235246c9bdad7b463e9d7516d24ffe46f460f8e67b8a938c4e3","observation_id":"70012c7e-d3fb-454e-81d3-d809515fc97d","resolution":{"observed_at":"2026-08-07T15:11:59.201231Z","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":"2026-08-07T15:11:59.516921Z","title":"Perceptive Locomotion in Rough Terrain – Online Foothold Optimization,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.16042","last_updated":"2025-07-10T16:53:20Z","snapshot_observed_at":"2026-08-07T15:05:44.510397Z","submitted_at":"2025-05-21T21:48:51Z","title":"Reference Free Platform Adaptive Locomotion for Quadrupedal Robots using a Dynamics Conditioned Policy","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T15:11:59.516921Z"},"links":{"citing_paper":"/paper/2505.16042"},"observation_digest":"sha256:e81bdbaeb7694296ab1d8eae1b32d0d941da9444683370764c8bde2f7583637f","observation_id":"c79c4549-13c2-4d94-9ab6-b6fb28980935","resolution":{"observed_at":"2026-08-07T15:11:59.516921Z","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":"2026-08-07T15:12:02.633745Z","title":"[Online]","venue":null,"work_id":"0fc4ec83-06fd-4410-9957-ace53bf07e3d","year":2025},"citing_paper":{"arxiv_id":"2505.16042","last_updated":"2025-07-10T16:53:20Z","snapshot_observed_at":"2026-08-07T15:05:44.510397Z","submitted_at":"2025-05-21T21:48:51Z","title":"Reference Free Platform Adaptive Locomotion for Quadrupedal Robots using a Dynamics Conditioned Policy","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T15:11:59.633359Z"},"links":{"citing_paper":"/paper/2505.16042"},"observation_digest":"sha256:6a6fd23b1bb6e072a1cd23f17e2727babc896f57a55248e2498a91d913d63546","observation_id":"13e724ae-036d-4d65-a6a1-6f93b7d6c71e","resolution":{"observed_at":"2026-08-07T15:12:02.638363Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T15:12:02.621337Z","title":"ANYbotics Introduces Sleek New ANYmal C Quadruped,","venue":null,"work_id":"7f5991a7-840a-4aef-837c-a0b31bc67b9c","year":2019},"citing_paper":{"arxiv_id":"2505.16042","last_updated":"2025-07-10T16:53:20Z","snapshot_observed_at":"2026-08-07T15:05:44.510397Z","submitted_at":"2025-05-21T21:48:51Z","title":"Reference Free Platform Adaptive Locomotion for Quadrupedal Robots using a Dynamics Conditioned Policy","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T15:11:59.991797Z"},"links":{"citing_paper":"/paper/2505.16042"},"observation_digest":"sha256:508e0a339199948e498b2f752c9c9a535cd3836fb33b9740d360e9fe0acae37e","observation_id":"6806b2cc-4d9a-40f5-874d-b2a1c65f61f1","resolution":{"observed_at":"2026-08-07T15:12:02.626053Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T15:12:02.606674Z","title":"Contact Invariant Model Learn- ing for Legged Robot Locomotion,","venue":null,"work_id":"2062fc51-26a0-4e64-87d9-d3e30aed0d47","year":2018},"citing_paper":{"arxiv_id":"2505.16042","last_updated":"2025-07-10T16:53:20Z","snapshot_observed_at":"2026-08-07T15:05:44.510397Z","submitted_at":"2025-05-21T21:48:51Z","title":"Reference Free Platform Adaptive Locomotion for Quadrupedal Robots using a Dynamics Conditioned Policy","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T15:12:00.168355Z"},"links":{"citing_paper":"/paper/2505.16042"},"observation_digest":"sha256:1cb8d3f1be84b13d4aa5a4be1ae6675755f37853f95237c8a7218e0d4c1829f8","observation_id":"95fcc2aa-ccf5-495a-92dd-d4f3bd82312a","resolution":{"observed_at":"2026-08-07T15:12:02.612347Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T15:12:02.589791Z","title":"PILCO: A Model-Based and Data-Efficient Approach to Policy Search,","venue":null,"work_id":"a46c47f1-d689-435a-99a0-913ef02b0159","year":2011},"citing_paper":{"arxiv_id":"2505.16042","last_updated":"2025-07-10T16:53:20Z","snapshot_observed_at":"2026-08-07T15:05:44.510397Z","submitted_at":"2025-05-21T21:48:51Z","title":"Reference Free Platform Adaptive Locomotion for Quadrupedal Robots using a Dynamics Conditioned Policy","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T15:12:00.306181Z"},"links":{"citing_paper":"/paper/2505.16042"},"observation_digest":"sha256:a891c5e4df46c2cf3848b4cf3fc550f06a493aa47eee747127a52eea0195f2b3","observation_id":"d1ac0492-76cf-47e2-9c25-f922e0c90406","resolution":{"observed_at":"2026-08-07T15:12:02.596460Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1803.10122","last_updated":"2018-05-09T09:06:27Z","snapshot_observed_at":"2026-07-31T21:36:45.596575Z","submitted_at":"2018-03-27T15:08:55Z","title":"World Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.10122","snapshot_observed_at":"2026-08-07T15:12:00.353452Z","title":"World Models,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.16042","last_updated":"2025-07-10T16:53:20Z","snapshot_observed_at":"2026-08-07T15:05:44.510397Z","submitted_at":"2025-05-21T21:48:51Z","title":"Reference Free Platform Adaptive Locomotion for Quadrupedal Robots using a Dynamics Conditioned Policy","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T15:12:00.353452Z"},"links":{"cited_paper":"/paper/1803.10122","citing_paper":"/paper/2505.16042"},"observation_digest":"sha256:83a3219a80dabca9b22594aadf2d97cbbb90a8ebd3760b53d4a695d317a279c4","observation_id":"25e14ccf-3e46-4a1c-b0cf-f12cf04ab0d0","resolution":{"observed_at":"2026-08-07T15:12:00.353452Z","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":"2026-08-07T15:12:00.373645Z","title":"One policy to control them all: Shared modular policies for agent-agnostic control,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.16042","last_updated":"2025-07-10T16:53:20Z","snapshot_observed_at":"2026-08-07T15:05:44.510397Z","submitted_at":"2025-05-21T21:48:51Z","title":"Reference Free Platform Adaptive Locomotion for Quadrupedal Robots using a Dynamics Conditioned Policy","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T15:12:00.373645Z"},"links":{"citing_paper":"/paper/2505.16042"},"observation_digest":"sha256:e05491b1b9fb0d2cb0b04e0e95d9ca940c424988d7fbb544cc279fc816982ff4","observation_id":"9863d440-c249-44fd-982c-79598ed6efe1","resolution":{"observed_at":"2026-08-07T15:12:00.373645Z","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":"2026-08-07T15:12:00.453423Z","title":"MorAL: Learning Morphologically Adaptive Locomotion Controller for Quadrupedal Robots on Challenging Terrains,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.16042","last_updated":"2025-07-10T16:53:20Z","snapshot_observed_at":"2026-08-07T15:05:44.510397Z","submitted_at":"2025-05-21T21:48:51Z","title":"Reference Free Platform Adaptive Locomotion for Quadrupedal Robots using a Dynamics Conditioned Policy","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T15:12:00.453423Z"},"links":{"citing_paper":"/paper/2505.16042"},"observation_digest":"sha256:cbb5f6f891c91ffb211d95497e6b221cc86c5464be0003685ed3f980c70f2486","observation_id":"3665af72-980d-4066-a7b5-263b5fe27b62","resolution":{"observed_at":"2026-08-07T15:12:00.453423Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.05309","last_updated":"2022-09-12T15:14:32Z","snapshot_observed_at":"2026-07-06T13:51:16.413902Z","submitted_at":"2022-09-12T15:14:32Z","title":"GenLoco: Generalized Locomotion Controllers for Quadrupedal Robots","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.05309","snapshot_observed_at":"2026-08-07T15:12:00.539498Z","title":"GenLoco: Generalized Locomotion Controllers for Quadrupedal Robots,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.16042","last_updated":"2025-07-10T16:53:20Z","snapshot_observed_at":"2026-08-07T15:05:44.510397Z","submitted_at":"2025-05-21T21:48:51Z","title":"Reference Free Platform Adaptive Locomotion for Quadrupedal Robots using a Dynamics Conditioned Policy","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T15:12:00.539498Z"},"links":{"cited_paper":"/paper/2209.05309","citing_paper":"/paper/2505.16042"},"observation_digest":"sha256:db47237e0b2c15080d45c932e5295ad9b4076e967678d73f41e8133637b24ec5","observation_id":"d31ddddd-64ec-4c8c-ad93-87999eaf0ca5","resolution":{"observed_at":"2026-08-07T15:12:00.539498Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.10486","last_updated":"2024-03-08T14:10:02Z","snapshot_observed_at":"2026-07-06T16:33:55.369704Z","submitted_at":"2023-10-16T15:06:16Z","title":"ManyQuadrupeds: Learning a Single Locomotion Policy for Diverse Quadruped Robots","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.10486","snapshot_observed_at":"2026-08-07T15:12:00.612336Z","title":"ManyQuadrupeds: Learning a Single Locomotion Policy for Diverse Quadruped Robots,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.16042","last_updated":"2025-07-10T16:53:20Z","snapshot_observed_at":"2026-08-07T15:05:44.510397Z","submitted_at":"2025-05-21T21:48:51Z","title":"Reference Free Platform Adaptive Locomotion for Quadrupedal Robots using a Dynamics Conditioned Policy","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T15:12:00.612336Z"},"links":{"cited_paper":"/paper/2310.10486","citing_paper":"/paper/2505.16042"},"observation_digest":"sha256:0a5d1533a9dfbd237e1e1b1ad4779416c1fff2e4c18de7cc8c5b8ffc0a73b7fa","observation_id":"18385afe-379b-40f0-b56a-7b248e1778d4","resolution":{"observed_at":"2026-08-07T15:12:00.612336Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.17502","last_updated":"2024-11-04T14:14:01Z","snapshot_observed_at":"2026-08-03T14:14:26.378282Z","submitted_at":"2024-07-05T14:31:51Z","title":"MetaLoco: Universal Quadrupedal Locomotion with Meta-Reinforcement Learning and Motion Imitation","version":2},"cited_work":{"arxiv_id":"2407.17502","doi":null,"metadata_source":"pith","pith_arxiv_id":"2407.17502","snapshot_observed_at":"2026-08-07T15:12:02.068916Z","title":"MetaLoco: Universal Quadrupedal Locomotion with Meta-Reinforcement Learning and Motion Imitation","venue":"cs.RO","work_id":"ea1fe1ee-d6ef-4984-8028-a74f8588141a","year":2024},"citing_paper":{"arxiv_id":"2505.16042","last_updated":"2025-07-10T16:53:20Z","snapshot_observed_at":"2026-08-07T15:05:44.510397Z","submitted_at":"2025-05-21T21:48:51Z","title":"Reference Free Platform Adaptive Locomotion for Quadrupedal Robots using a Dynamics Conditioned Policy","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T15:12:00.678726Z"},"links":{"cited_paper":"/paper/2407.17502","citing_paper":"/paper/2505.16042"},"observation_digest":"sha256:ef4a3623cb4c1cddddb164da4e9e716f75f6ddd1c3c824aae8056a536072bb90","observation_id":"3a0a0dac-cd92-4a65-9375-6ad7f4ddaf7b","resolution":{"observed_at":"2026-08-07T15:12:02.118329Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T15:12:02.567203Z","title":"One Policy to Run Them All: An End-to-end Learning Approach to Multi-Embodiment Locomotion,","venue":null,"work_id":"0f2d2991-a951-4ce3-a176-e7b92f7f785a","year":null},"citing_paper":{"arxiv_id":"2505.16042","last_updated":"2025-07-10T16:53:20Z","snapshot_observed_at":"2026-08-07T15:05:44.510397Z","submitted_at":"2025-05-21T21:48:51Z","title":"Reference Free Platform Adaptive Locomotion for Quadrupedal Robots using a Dynamics Conditioned Policy","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T15:12:00.757386Z"},"links":{"citing_paper":"/paper/2505.16042"},"observation_digest":"sha256:40fbbab7fb6fbaba9e8f9dfa683f3b704e2a8277ff71df715ee5898498fdaf58","observation_id":"03bb3be1-f8e7-48e3-9788-9358bd241f47","resolution":{"observed_at":"2026-08-07T15:12:02.572442Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T15:12:00.912400Z","title":"Concurrent training of a control policy and a state estimator for dynamic and robust legged locomotion,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.16042","last_updated":"2025-07-10T16:53:20Z","snapshot_observed_at":"2026-08-07T15:05:44.510397Z","submitted_at":"2025-05-21T21:48:51Z","title":"Reference Free Platform Adaptive Locomotion for Quadrupedal Robots using a Dynamics Conditioned Policy","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T15:12:00.912400Z"},"links":{"citing_paper":"/paper/2505.16042"},"observation_digest":"sha256:d066bfe83d7d7bce11683c85aecbed070bc6f27afff1ad73c39b6e48c85156a4","observation_id":"39523185-b8fb-407a-b53e-057b26f7f061","resolution":{"observed_at":"2026-08-07T15:12:00.912400Z","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":"2026-08-07T15:12:02.543652Z","title":null,"venue":null,"work_id":"de725c46-cc88-4834-b674-300ae783a4b9","year":1998},"citing_paper":{"arxiv_id":"2505.16042","last_updated":"2025-07-10T16:53:20Z","snapshot_observed_at":"2026-08-07T15:05:44.510397Z","submitted_at":"2025-05-21T21:48:51Z","title":"Reference Free Platform Adaptive Locomotion for Quadrupedal Robots using a Dynamics Conditioned Policy","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T15:12:00.941128Z"},"links":{"citing_paper":"/paper/2505.16042"},"observation_digest":"sha256:9b756e4458c334a54a919692df6a8d83e8f33b155e47b93cd8dcd9cfa78c3de3","observation_id":"eb5d47bd-a06a-4a8c-b892-0f40cc826899","resolution":{"observed_at":"2026-08-07T15:12:02.548716Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T15:12:02.530623Z","title":"ANYmal - a highly mobile and dynamic quadrupedal robot,","venue":null,"work_id":"44198f8c-caea-4dfb-8a51-51f1ffe0e3bc","year":2016},"citing_paper":{"arxiv_id":"2505.16042","last_updated":"2025-07-10T16:53:20Z","snapshot_observed_at":"2026-08-07T15:05:44.510397Z","submitted_at":"2025-05-21T21:48:51Z","title":"Reference Free Platform Adaptive Locomotion for Quadrupedal Robots using a Dynamics Conditioned Policy","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T15:12:01.059889Z"},"links":{"citing_paper":"/paper/2505.16042"},"observation_digest":"sha256:4712b2d58027db28c8d784a2ad67c6809fd3dfab3bcf49049054a24591e2e225","observation_id":"186f26de-3c31-4159-8511-95e7b44bf800","resolution":{"observed_at":"2026-08-07T15:12:02.535154Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T15:12:02.516271Z","title":"RaiSim – v1.1.7 documentation,","venue":null,"work_id":"45064e06-b666-44c9-877c-a3f805ea35f2","year":2025},"citing_paper":{"arxiv_id":"2505.16042","last_updated":"2025-07-10T16:53:20Z","snapshot_observed_at":"2026-08-07T15:05:44.510397Z","submitted_at":"2025-05-21T21:48:51Z","title":"Reference Free Platform Adaptive Locomotion for Quadrupedal Robots using a Dynamics Conditioned Policy","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T15:12:01.245550Z"},"links":{"citing_paper":"/paper/2505.16042"},"observation_digest":"sha256:be662c1bfc5098dbff944e1b5aeb7de0d6ba54410103f924fa96e488f8596950","observation_id":"29be9596-d118-4465-a2c4-2cd53378087d","resolution":{"observed_at":"2026-08-07T15:12:02.521210Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1511.09249","last_updated":"2015-11-30T11:35:26Z","snapshot_observed_at":"2026-07-06T04:38:09.665875Z","submitted_at":"2015-11-30T11:35:26Z","title":"On Learning to Think: Algorithmic Information Theory for Novel Combinations of Reinforcement Learning Controllers and Recurrent Neural World Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1511.09249","snapshot_observed_at":"2026-08-07T15:12:01.290066Z","title":"On Learning to Think: Algorithmic Information Theory for Novel Combinations of Reinforcement Learning Controllers and Recurrent Neural World Models,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2505.16042","last_updated":"2025-07-10T16:53:20Z","snapshot_observed_at":"2026-08-07T15:05:44.510397Z","submitted_at":"2025-05-21T21:48:51Z","title":"Reference Free Platform Adaptive Locomotion for Quadrupedal Robots using a Dynamics Conditioned Policy","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T15:12:01.290066Z"},"links":{"cited_paper":"/paper/1511.09249","citing_paper":"/paper/2505.16042"},"observation_digest":"sha256:25c5aa1fd5f7c58f40dfd886dc66eab78afc0f46d7de20bf74e7a698e158d66b","observation_id":"fe1f5e32-ffd5-46d6-9bca-f4d6b64b49a0","resolution":{"observed_at":"2026-08-07T15:12:01.290066Z","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":"2026-08-07T15:12:02.501000Z","title":"Deepim: Deep iterative matching for 6d pose estimation,","venue":null,"work_id":"0e8e83a7-3f47-48e3-a672-5addec3c2d19","year":2018},"citing_paper":{"arxiv_id":"2505.16042","last_updated":"2025-07-10T16:53:20Z","snapshot_observed_at":"2026-08-07T15:05:44.510397Z","submitted_at":"2025-05-21T21:48:51Z","title":"Reference Free Platform Adaptive Locomotion for Quadrupedal Robots using a Dynamics Conditioned Policy","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T15:12:01.362568Z"},"links":{"citing_paper":"/paper/2505.16042"},"observation_digest":"sha256:886c984beff0fad6fabded44be011baa4f9c270823a13912144322a07e3e93d8","observation_id":"b522bbd5-fc67-4c9b-949e-e9a063be3e53","resolution":{"observed_at":"2026-08-07T15:12:02.506034Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.14887","last_updated":"2023-02-21T13:30:56Z","snapshot_observed_at":"2026-07-06T13:57:50.746457Z","submitted_at":"2022-09-29T15:55:33Z","title":"Learning Low-Frequency Motion Control for Robust and Dynamic Robot Locomotion","version":2},"cited_work":{"arxiv_id":"2209.14887","doi":null,"metadata_source":"pith","pith_arxiv_id":"2209.14887","snapshot_observed_at":"2026-08-07T15:12:01.833034Z","title":"Learning Low-Frequency Motion Control for Robust and Dynamic Robot Locomotion","venue":"cs.RO","work_id":"5f7f7ca8-b76c-4824-96df-94d187e262e6","year":2022},"citing_paper":{"arxiv_id":"2505.16042","last_updated":"2025-07-10T16:53:20Z","snapshot_observed_at":"2026-08-07T15:05:44.510397Z","submitted_at":"2025-05-21T21:48:51Z","title":"Reference Free Platform Adaptive Locomotion for Quadrupedal Robots using a Dynamics Conditioned Policy","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T15:12:01.541398Z"},"links":{"cited_paper":"/paper/2209.14887","citing_paper":"/paper/2505.16042"},"observation_digest":"sha256:49b3e14e979c6dc853a6763e026f79b599e8bb1d9f64dbeca68f44ec4a4f475f","observation_id":"1c66d263-e8a0-4c33-bef5-e7249edac4f0","resolution":{"observed_at":"2026-08-07T15:12:01.891872Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T15:12:02.483783Z","title":"Proximal policy optimization algorithms,","venue":null,"work_id":"deb08062-c338-4f1d-b05e-755a82cd9edf","year":2017},"citing_paper":{"arxiv_id":"2505.16042","last_updated":"2025-07-10T16:53:20Z","snapshot_observed_at":"2026-08-07T15:05:44.510397Z","submitted_at":"2025-05-21T21:48:51Z","title":"Reference Free Platform Adaptive Locomotion for Quadrupedal Robots using a Dynamics Conditioned Policy","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T15:12:01.686512Z"},"links":{"citing_paper":"/paper/2505.16042"},"observation_digest":"sha256:4894b691d272d53ab6b023253fbc1baf98ef81f372bfcca72f5211245c302b90","observation_id":"fe98a75c-4dc8-47ed-a50f-37affe2b5046","resolution":{"observed_at":"2026-08-07T15:12:02.489630Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T15:12:02.469028Z","title":"Guided Constrained Policy Optimization for Dynamic Quadrupedal Robot Locomotion,","venue":null,"work_id":"9296e330-b949-4ff2-b16d-ad6a2e53d4cd","year":2020},"citing_paper":{"arxiv_id":"2505.16042","last_updated":"2025-07-10T16:53:20Z","snapshot_observed_at":"2026-08-07T15:05:44.510397Z","submitted_at":"2025-05-21T21:48:51Z","title":"Reference Free Platform Adaptive Locomotion for Quadrupedal Robots using a Dynamics Conditioned Policy","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T15:12:01.719161Z"},"links":{"citing_paper":"/paper/2505.16042"},"observation_digest":"sha256:15d2a58dc953d2e60656c8cea8bee7f6a7bfafd2c05d6660e32e949519ca0ff8","observation_id":"4280a776-480f-4cf5-88a1-31d217550580","resolution":{"observed_at":"2026-08-07T15:12:02.474249Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T15:12:02.451717Z","title":"A focused backpropagation algorithm for temporal pattern recognition,","venue":null,"work_id":"8b9ac6be-32fd-4a26-95e0-a4161c86faad","year":2013},"citing_paper":{"arxiv_id":"2505.16042","last_updated":"2025-07-10T16:53:20Z","snapshot_observed_at":"2026-08-07T15:05:44.510397Z","submitted_at":"2025-05-21T21:48:51Z","title":"Reference Free Platform Adaptive Locomotion for Quadrupedal Robots using a Dynamics Conditioned Policy","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T15:12:01.722638Z"},"links":{"citing_paper":"/paper/2505.16042"},"observation_digest":"sha256:b055c99ed9059b18143d92641ad693d5756030097e7445562bad7457632dc8f0","observation_id":"bbd333c6-37f7-47f0-8576-40ecf499a00d","resolution":{"observed_at":"2026-08-07T15:12:02.457603Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2006.02402","last_updated":"2020-06-03T17:21:12Z","snapshot_observed_at":"2026-07-06T09:25:47.539137Z","submitted_at":"2020-06-03T17:21:12Z","title":"Learning Memory-Based Control for Human-Scale Bipedal Locomotion","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.02402","snapshot_observed_at":"2026-08-07T15:12:01.725924Z","title":"Learning Memory-Based Control for Human-Scale Bipedal Locomotion,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.16042","last_updated":"2025-07-10T16:53:20Z","snapshot_observed_at":"2026-08-07T15:05:44.510397Z","submitted_at":"2025-05-21T21:48:51Z","title":"Reference Free Platform Adaptive Locomotion for Quadrupedal Robots using a Dynamics Conditioned Policy","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T15:12:01.725924Z"},"links":{"cited_paper":"/paper/2006.02402","citing_paper":"/paper/2505.16042"},"observation_digest":"sha256:8647f0926ef7e655d054102c830894b3dc863117a08651600e0803d5181038c0","observation_id":"42210bbe-ec72-4f3d-bed5-32db8d71d0f0","resolution":{"observed_at":"2026-08-07T15:12:01.725924Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.05665","last_updated":"2023-09-12T03:01:55Z","snapshot_observed_at":"2026-07-06T16:17:04.004519Z","submitted_at":"2023-09-11T17:59:17Z","title":"Robot Parkour Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.05665","snapshot_observed_at":"2026-08-07T15:11:59.362494Z","title":"Available: http://arxiv.org/abs/2309.05665","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.16042","last_updated":"2025-07-10T16:53:20Z","snapshot_observed_at":"2026-08-07T15:05:44.510397Z","submitted_at":"2025-05-21T21:48:51Z","title":"Reference Free Platform Adaptive Locomotion for Quadrupedal Robots using a Dynamics Conditioned Policy","version":2},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-07T15:11:59.362494Z"},"links":{"cited_paper":"/paper/2309.05665","citing_paper":"/paper/2505.16042"},"observation_digest":"sha256:7e9651d45368c96353dc2a5ce607f62a591b266b452f846f1343d68a95fe3195","observation_id":"bb91bc60-9f51-4387-a97a-13ff4510b427","resolution":{"observed_at":"2026-08-07T15:11:59.362494Z","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":"2026-08-07T15:12:00.835361Z","title":"Available: http://arxiv.org/abs/2409.06366","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.16042","last_updated":"2025-07-10T16:53:20Z","snapshot_observed_at":"2026-08-07T15:05:44.510397Z","submitted_at":"2025-05-21T21:48:51Z","title":"Reference Free Platform Adaptive Locomotion for Quadrupedal Robots using a Dynamics Conditioned Policy","version":2},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-07T15:12:00.835361Z"},"links":{"citing_paper":"/paper/2505.16042"},"observation_digest":"sha256:0e312bf26c36a70977d3bb90ece7cbf982f2bd4489d00044712e7ad50c644622","observation_id":"f44ba1c9-e847-411c-8884-63c80a2c049d","resolution":{"observed_at":"2026-08-07T15:12:00.835361Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2505.16042","last_updated":"2025-07-10T16:53:20Z","latest_version":2,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-07T15:05:44.510397Z","submitted_at":"2025-05-21T21:48:51Z","title":"Reference Free Platform Adaptive Locomotion for Quadrupedal Robots using a Dynamics Conditioned Policy"},"reference_resolution":{"displayed":30,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":14,"verified_exact":3,"verified_fuzzy":13},"total_outbound_references":30},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2505.16042."}