{"as_of":"2026-08-07T08:41:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4d85a1572e86b6b8589158fcff88d6ad8cbad7d11526d1d86558ab9b001bfb9a","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":"2026-08-07T06:34:17.273281+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":"2026-05-08T19:35:46.097113Z","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":"2026-05-09T05:45:22.595997Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2101.03309","last_updated":"2021-01-09T07:15:33Z","snapshot_observed_at":"2026-08-06T15:46:25.198000Z","submitted_at":"2021-01-09T07:15:33Z","title":"Identifying Decision Points for Safe and Interpretable Reinforcement Learning in Hypotension Treatment","version":1},"cited_work":{"arxiv_id":"2101.03309","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2101.03309","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2101.03309 , year=","venue":null,"work_id":"9fd8c6c4-789f-47c0-9a24-83be865f1e52","year":null},"citing_paper":{"arxiv_id":"2605.02112","last_updated":"2026-05-04T00:22:21Z","snapshot_observed_at":"2026-08-02T05:50:52.770878Z","submitted_at":"2026-05-04T00:22:21Z","title":"An adaptive variance estimator for relative sparsity","version":1},"reference_index":78,"source":"arxiv_source","source_observed_at":"2026-05-08T19:35:46.097113Z"},"links":{"cited_paper":"/paper/2101.03309","citing_paper":"/paper/2605.02112"},"observation_digest":"sha256:1fef1f415c441e3978241929736e4d0cec1dbd3e1e18da5cd68d686a6e9dc4a7","observation_id":"fa627e87-2288-4f51-b48f-7f56741900b8","resolution":{"observed_at":"2026-05-09T05:45:22.598698Z","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/2101.03309/citation-record","integrity":"/paper/2101.03309/integrity","json":"/paper/2101.03309/citation-record.json","paper":"/paper/2101.03309"},"outbound":[],"paper":{"arxiv_id":"2101.03309","last_updated":"2021-01-09T07:15:33Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T15:46:25.198000Z","submitted_at":"2021-01-09T07:15:33Z","title":"Identifying Decision Points for Safe and Interpretable Reinforcement Learning in Hypotension Treatment"},"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 1 inbound Pith citation observation for arXiv:2101.03309."}