{"as_of":"2026-08-07T22:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5e6dd3d70d711f7b8cad0bb97da9d8c95336768866b2dc6bfc600c8e6b894e6f","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:42:32.597018Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2110.05457","last_updated":"2021-10-11T17:48:18Z","snapshot_observed_at":"2026-07-06T11:56:40.594360Z","submitted_at":"2021-10-11T17:48:18Z","title":"Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.05457","snapshot_observed_at":"2026-08-07T15:42:32.597018Z","title":"Smith, J","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.14266","last_updated":"2025-05-20T12:16:26Z","snapshot_observed_at":"2026-08-07T15:35:20.222847Z","submitted_at":"2025-05-20T12:16:26Z","title":"Sampling-Based System Identification with Active Exploration for Legged Robot Sim2Real Learning","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T15:42:32.597018Z"},"links":{"cited_paper":"/paper/2110.05457","citing_paper":"/paper/2505.14266"},"observation_digest":"sha256:74e63e394a6daf5bc4704c4dd9949a73539047491853f6caf72614fde66e0503","observation_id":"cf655765-d4c6-46a8-b057-32b6f5f7774f","resolution":{"observed_at":"2026-08-07T15:42:32.597018Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.05457","last_updated":"2021-10-11T17:48:18Z","snapshot_observed_at":"2026-07-06T11:56:40.594360Z","submitted_at":"2021-10-11T17:48:18Z","title":"Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World","version":1},"cited_work":{"arxiv_id":"2110.05457","doi":"10.48550/arxiv.2110.05457","metadata_source":"arxiv_reference","pith_arxiv_id":"2110.05457","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Laura Smith, Ilya Kostrikov, and Sergey Levine","venue":"arXiv (Cornell University)","work_id":"95ab849b-8907-4bfb-a58f-0096cf1ff119","year":null},"citing_paper":{"arxiv_id":"2605.24975","last_updated":"2026-05-24T10:04:11Z","snapshot_observed_at":"2026-08-06T05:19:42.390701Z","submitted_at":"2026-05-24T10:04:11Z","title":"Bridging the Gap: Enabling Soft Actor Critic for High Performance Legged Locomotion","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-30T00:54:12.099045Z"},"links":{"cited_paper":"/paper/2110.05457","citing_paper":"/paper/2605.24975"},"observation_digest":"sha256:a4e0eeceb8afe1200b720beedd04ec3188ce16f7c744cc430d6d845019259331","observation_id":"1eb93f7b-3b42-4d14-8ea2-178f8bb50321","resolution":{"observed_at":"2026-07-01T16:05:49.714820Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.05457","last_updated":"2021-10-11T17:48:18Z","snapshot_observed_at":"2026-07-06T11:56:40.594360Z","submitted_at":"2021-10-11T17:48:18Z","title":"Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World","version":1},"cited_work":{"arxiv_id":"2110.05457","doi":"10.48550/arxiv.2110.05457","metadata_source":"arxiv_reference","pith_arxiv_id":"2110.05457","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Laura Smith, Ilya Kostrikov, and Sergey Levine","venue":"arXiv (Cornell University)","work_id":"95ab849b-8907-4bfb-a58f-0096cf1ff119","year":null},"citing_paper":{"arxiv_id":"2606.28476","last_updated":"2026-06-26T16:05:10Z","snapshot_observed_at":"2026-08-02T18:54:24.801863Z","submitted_at":"2026-06-26T16:05:10Z","title":"FADA: Few-Shot Domain Adaptation via Dynamics Alignment for Humanoid Control","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-06-30T01:28:29.441778Z"},"links":{"cited_paper":"/paper/2110.05457","citing_paper":"/paper/2606.28476"},"observation_digest":"sha256:d6cf837db2448097e07d4ff7b172f654f3826c124b260b44bc9f2c6b46afd3fe","observation_id":"a2133807-b447-44f9-9463-d482e6d0c24f","resolution":{"observed_at":"2026-06-30T01:34:09.932204Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2110.05457/citation-record","integrity":"/paper/2110.05457/integrity","json":"/paper/2110.05457/citation-record.json","paper":"/paper/2110.05457"},"outbound":[],"paper":{"arxiv_id":"2110.05457","last_updated":"2021-10-11T17:48:18Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-07-06T11:56:40.594360Z","submitted_at":"2021-10-11T17:48:18Z","title":"Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2110.05457."}