{"as_of":"2026-08-08T12:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4ad9787a129e0c7b565e56b34ee719162c2a0c3c001a7f7680db6f0eb32c5b49","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":"2026-08-08T06:32:00.761636+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":"2026-08-07T11:24:59.175627Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-07T11:25:00.400663Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.20519","last_updated":"2025-09-02T16:54:57Z","snapshot_observed_at":"2026-08-06T17:05:36.643599Z","submitted_at":"2024-12-29T16:42:30Z","title":"Goal-Conditioned Data Augmentation for Offline Reinforcement Learning","version":2},"cited_work":{"arxiv_id":"2412.20519","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.20519","snapshot_observed_at":"2026-08-07T11:25:00.400663Z","title":"Goal-Conditioned Data Augmentation for Offline Reinforcement Learning","venue":"cs.LG","work_id":"4451325f-7093-4761-9718-81f7256e5cde","year":2024},"citing_paper":{"arxiv_id":"2506.02577","last_updated":"2025-06-03T07:55:57Z","snapshot_observed_at":"2026-08-07T13:50:57.173766Z","submitted_at":"2025-06-03T07:55:57Z","title":"Reachability Weighted Offline Goal-conditioned Resampling","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:59.175627Z"},"links":{"cited_paper":"/paper/2412.20519","citing_paper":"/paper/2506.02577"},"observation_digest":"sha256:73622eb9ea61becc16fb0e190994d2f575dee6188f7dda7e2d3f5a6e72d5c5be","observation_id":"431af040-bbdf-4ca6-a6d0-43b31425a43f","resolution":{"observed_at":"2026-08-07T11:25:00.491537Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2412.20519/citation-record","integrity":"/paper/2412.20519/integrity","json":"/paper/2412.20519/citation-record.json","paper":"/paper/2412.20519"},"outbound":[],"paper":{"arxiv_id":"2412.20519","last_updated":"2025-09-02T16:54:57Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T17:05:36.643599Z","submitted_at":"2024-12-29T16:42:30Z","title":"Goal-Conditioned Data Augmentation for 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":"2026-08-08T06:32:00.761636+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 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2412.20519."}