{"as_of":"2026-08-05T03:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cf4e3925d8a31df6d7a7863f7e23f8231ef719cfb147356eef0f6e95d8772c9c","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":"2026-08-04T06:34:03.388597+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":"2026-06-26T21:50:00.974590Z","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":"2026-07-04T17:50:00.073152Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.07927","last_updated":"2024-10-10T13:54:11Z","snapshot_observed_at":"2026-07-31T01:01:46.910108Z","submitted_at":"2024-10-10T13:54:11Z","title":"Efficient Reinforcement Learning with Large Language Model Priors","version":1},"cited_work":{"arxiv_id":"2410.07927","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.07927","snapshot_observed_at":"2026-07-04T17:50:00.073152Z","title":"Efficient reinforcement learning with large language model priors.arXiv preprint arXiv:2410.07927","venue":null,"work_id":"caaf78c3-8cfb-4877-bfc9-ec4cdcf88661","year":null},"citing_paper":{"arxiv_id":"2604.11446","last_updated":"2026-04-13T13:28:12Z","snapshot_observed_at":"2026-07-06T22:59:49.614780Z","submitted_at":"2026-04-13T13:28:12Z","title":"Low-rank Optimization Trajectories Modeling for LLM RLVR Acceleration","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-10T16:07:20.180349Z"},"links":{"cited_paper":"/paper/2410.07927","citing_paper":"/paper/2604.11446"},"observation_digest":"sha256:5e1d424e8985acc00e5865e266e4b716ac928904cfca62aa7bfbcb068682b493","observation_id":"e3983245-fbc8-40f6-96d3-144f483723f9","resolution":{"observed_at":"2026-05-11T09:16:04.481445Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07927","last_updated":"2024-10-10T13:54:11Z","snapshot_observed_at":"2026-07-31T01:01:46.910108Z","submitted_at":"2024-10-10T13:54:11Z","title":"Efficient Reinforcement Learning with Large Language Model Priors","version":1},"cited_work":{"arxiv_id":"2410.07927","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.07927","snapshot_observed_at":"2026-07-04T17:50:00.073152Z","title":"Efficient reinforcement learning with large language model priors.arXiv preprint arXiv:2410.07927","venue":null,"work_id":"caaf78c3-8cfb-4877-bfc9-ec4cdcf88661","year":null},"citing_paper":{"arxiv_id":"2606.18812","last_updated":"2026-06-18T16:24:52Z","snapshot_observed_at":"2026-08-02T11:57:05.307680Z","submitted_at":"2026-06-17T08:27:27Z","title":"Reinforcement Learning Foundation Models Should Already Be A Thing","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-26T21:50:00.974590Z"},"links":{"cited_paper":"/paper/2410.07927","citing_paper":"/paper/2606.18812"},"observation_digest":"sha256:7f66fa0e49545c22d47925e5d1943579e6f2fdce57b96d61fe0b20fb5c00e17b","observation_id":"15f50169-fca5-4fc5-8757-d2b5660d27e8","resolution":{"observed_at":"2026-07-03T23:39:05.095619Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07927","last_updated":"2024-10-10T13:54:11Z","snapshot_observed_at":"2026-07-31T01:01:46.910108Z","submitted_at":"2024-10-10T13:54:11Z","title":"Efficient Reinforcement Learning with Large Language Model Priors","version":1},"cited_work":{"arxiv_id":"2410.07927","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.07927","snapshot_observed_at":"2026-07-04T17:50:00.073152Z","title":"Efficient reinforcement learning with large language model priors.arXiv preprint arXiv:2410.07927","venue":null,"work_id":"caaf78c3-8cfb-4877-bfc9-ec4cdcf88661","year":null},"citing_paper":{"arxiv_id":"2606.24669","last_updated":"2026-06-23T15:03:31Z","snapshot_observed_at":"2026-07-06T23:59:13.320720Z","submitted_at":"2026-06-23T15:03:31Z","title":"LaGO: Latent Action Guidance for Online Reinforcement Learning","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-25T23:26:55.307583Z"},"links":{"cited_paper":"/paper/2410.07927","citing_paper":"/paper/2606.24669"},"observation_digest":"sha256:eda98443aeb99c2811a214bf95302c50d66f2cef1b7552493140c07b127976c1","observation_id":"b8d68713-0cc0-4e3e-aea3-c6ddf33b5067","resolution":{"observed_at":"2026-07-04T17:50:00.074812Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2410.07927/citation-record","integrity":"/paper/2410.07927/integrity","json":"/paper/2410.07927/citation-record.json","paper":"/paper/2410.07927"},"outbound":[],"paper":{"arxiv_id":"2410.07927","last_updated":"2024-10-10T13:54:11Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-31T01:01:46.910108Z","submitted_at":"2024-10-10T13:54:11Z","title":"Efficient Reinforcement Learning with Large Language Model Priors"},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.07927."}