{"as_of":"2026-08-18T22:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8da3134650401afe2e92da167d38834a5e352a469737656f5eeadc68be560b79","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":"2026-08-18T06:34:40.430872+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":"2026-08-10T23:20:57.835707Z","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":"2026-08-10T23:20:57.892414Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2210.07536","last_updated":"2022-10-14T05:33:19Z","snapshot_observed_at":"2026-08-18T17:05:53.797290Z","submitted_at":"2022-10-14T05:33:19Z","title":"A Reinforcement Learning Approach to Estimating Long-term Treatment Effects","version":1},"cited_work":{"arxiv_id":"2210.07536","doi":null,"metadata_source":"pith","pith_arxiv_id":"2210.07536","snapshot_observed_at":"2026-08-10T23:20:57.892414Z","title":"A Reinforcement Learning Approach to Estimating Long-term Treatment Effects","venue":"cs.LG","work_id":"ee03bb94-3b50-49f1-8e00-8c88f6cc3969","year":2022},"citing_paper":{"arxiv_id":"2412.20638","last_updated":"2025-02-03T02:11:14Z","snapshot_observed_at":"2026-08-15T10:57:03.171481Z","submitted_at":"2024-12-30T01:01:15Z","title":"Predicting Long Term Sequential Policy Value Using Softer Surrogates","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-10T23:20:57.835707Z"},"links":{"cited_paper":"/paper/2210.07536","citing_paper":"/paper/2412.20638"},"observation_digest":"sha256:a70a2f1d3b49f82b1e672a24bb4f4246e8dcd59a2b6f0699ff12e32eca08b991","observation_id":"fb7f4ccd-a61b-4b01-94e5-d3466642b834","resolution":{"observed_at":"2026-08-10T23:20:57.898440Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2210.07536/citation-record","integrity":"/paper/2210.07536/integrity","json":"/paper/2210.07536/citation-record.json","paper":"/paper/2210.07536"},"outbound":[],"paper":{"arxiv_id":"2210.07536","last_updated":"2022-10-14T05:33:19Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-18T17:05:53.797290Z","submitted_at":"2022-10-14T05:33:19Z","title":"A Reinforcement Learning Approach to Estimating Long-term Treatment Effects"},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2210.07536."}