{"as_of":"2026-08-11T09:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:43ca13935e0842a9eaea686eacc4931ab1814313fd5ef22ef201f6f506a4cc4b","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+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":"2026-05-11T02:32:24.570036Z","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":"2026-05-11T03:15:56.799592Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2408.12307","last_updated":"2025-05-28T20:42:49Z","snapshot_observed_at":"2026-08-10T22:51:22.266594Z","submitted_at":"2024-08-22T11:31:51Z","title":"Leveraging Unlabeled Data Sharing through Kernel Function Approximation in Offline Reinforcement Learning","version":3},"cited_work":{"arxiv_id":"2408.12307","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.12307","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2408.12307 (2024)","venue":null,"work_id":"2203d1f7-3a17-4f67-a020-3bb1b58d4937","year":2024},"citing_paper":{"arxiv_id":"2605.07218","last_updated":"2026-05-08T04:10:03Z","snapshot_observed_at":"2026-07-06T23:19:35.885430Z","submitted_at":"2026-05-08T04:10:03Z","title":"Improved Model-based Reinforcement Learning with Smooth Kernels","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-11T02:32:24.570036Z"},"links":{"cited_paper":"/paper/2408.12307","citing_paper":"/paper/2605.07218"},"observation_digest":"sha256:91e89600393005c6fcc4edfd30bd8691ef03951445db9320a84f704137f90f95","observation_id":"5aed35b3-8548-4d86-b32d-a978f243d7a4","resolution":{"observed_at":"2026-05-11T03:15:56.802060Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2408.12307/citation-record","integrity":"/paper/2408.12307/integrity","json":"/paper/2408.12307/citation-record.json","paper":"/paper/2408.12307"},"outbound":[],"paper":{"arxiv_id":"2408.12307","last_updated":"2025-05-28T20:42:49Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-10T22:51:22.266594Z","submitted_at":"2024-08-22T11:31:51Z","title":"Leveraging Unlabeled Data Sharing through Kernel Function Approximation in Offline 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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2408.12307."}