{"as_of":"2026-08-07T07:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6bf07ee796c808c017e0602c77891f93b53340a17f6e3aafbdbad048ab3ead88","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":"2026-06-26T09:20:35.062060Z","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":"2026-07-04T09:59:44.530943Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.08078","last_updated":"2025-05-12T21:24:22Z","snapshot_observed_at":"2026-08-06T20:00:44.057013Z","submitted_at":"2025-05-12T21:24:22Z","title":"What Matters for Batch Online Reinforcement Learning in Robotics?","version":1},"cited_work":{"arxiv_id":"2505.08078","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.08078","snapshot_observed_at":"2026-07-04T09:59:44.530943Z","title":"What matters for batch online re- inforcement learning in robotics?arXiv preprint","venue":null,"work_id":"6b041202-d302-4823-8aa9-467962bc63df","year":2025},"citing_paper":{"arxiv_id":"2511.14759","last_updated":"2025-11-19T04:34:49Z","snapshot_observed_at":"2026-07-06T22:36:13.287872Z","submitted_at":"2025-11-18T18:58:55Z","title":"$\\pi^{*}_{0.6}$: a VLA That Learns From Experience","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-12T10:34:59.134604Z"},"links":{"cited_paper":"/paper/2505.08078","citing_paper":"/paper/2511.14759"},"observation_digest":"sha256:81786fe144afc7c35d8988b54d7cf2a0ccfb3eeedd17b260e6e1394e00705437","observation_id":"7915e3fe-a197-4270-b62c-5412084809c3","resolution":{"observed_at":"2026-05-12T10:34:59.291343Z","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":"2505.08078","last_updated":"2025-05-12T21:24:22Z","snapshot_observed_at":"2026-08-06T20:00:44.057013Z","submitted_at":"2025-05-12T21:24:22Z","title":"What Matters for Batch Online Reinforcement Learning in Robotics?","version":1},"cited_work":{"arxiv_id":"2505.08078","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.08078","snapshot_observed_at":"2026-07-04T09:59:44.530943Z","title":"What matters for batch online re- inforcement learning in robotics?arXiv preprint","venue":null,"work_id":"6b041202-d302-4823-8aa9-467962bc63df","year":2025},"citing_paper":{"arxiv_id":"2604.19730","last_updated":"2026-04-21T17:52:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-21T17:52:17Z","title":"FASTER: Value-Guided Sampling for Fast RL","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-10T02:47:36.475845Z"},"links":{"cited_paper":"/paper/2505.08078","citing_paper":"/paper/2604.19730"},"observation_digest":"sha256:f0460b6ffcda26cf1f739b7e3e55590966057988937f35d61b077bd5a7cb44a8","observation_id":"b24cc508-9755-4d2c-b8e7-7d406a44427f","resolution":{"observed_at":"2026-05-10T02:48:27.265805Z","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":"2505.08078","last_updated":"2025-05-12T21:24:22Z","snapshot_observed_at":"2026-08-06T20:00:44.057013Z","submitted_at":"2025-05-12T21:24:22Z","title":"What Matters for Batch Online Reinforcement Learning in Robotics?","version":1},"cited_work":{"arxiv_id":"2505.08078","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.08078","snapshot_observed_at":"2026-07-04T09:59:44.530943Z","title":"What matters for batch online re- inforcement learning in robotics?arXiv preprint","venue":null,"work_id":"6b041202-d302-4823-8aa9-467962bc63df","year":2025},"citing_paper":{"arxiv_id":"2606.23640","last_updated":"2026-06-22T17:30:24Z","snapshot_observed_at":"2026-08-02T09:22:48.099895Z","submitted_at":"2026-06-22T17:30:24Z","title":"Learning Process Rewards via Success Visitation Matching for Efficient RL","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-26T09:20:35.062060Z"},"links":{"cited_paper":"/paper/2505.08078","citing_paper":"/paper/2606.23640"},"observation_digest":"sha256:ba570bec86bfccfcb72a7f9d8137dcc0cb9de5dbb31d63250e34228f0c4d81b5","observation_id":"17b30b33-ff39-4660-8b90-a9f7b0b26e35","resolution":{"observed_at":"2026-07-04T09:59:44.532817Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2505.08078/citation-record","integrity":"/paper/2505.08078/integrity","json":"/paper/2505.08078/citation-record.json","paper":"/paper/2505.08078"},"outbound":[],"paper":{"arxiv_id":"2505.08078","last_updated":"2025-05-12T21:24:22Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-06T20:00:44.057013Z","submitted_at":"2025-05-12T21:24:22Z","title":"What Matters for Batch Online Reinforcement Learning in Robotics?"},"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:2505.08078."}