{"as_of":"2026-08-07T21:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:81dca391c54f451eaed8fe854fb1cc6bb4adf1a92161c1aaf593a6f9b65d564b","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":"2026-08-06T22:21:09.766038Z","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":"2026-08-06T22:21:10.111448Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1912.03918","last_updated":"2019-12-09T09:35:48Z","snapshot_observed_at":"2026-08-06T18:41:38.611692Z","submitted_at":"2019-12-09T09:35:48Z","title":"Transformer Based Reinforcement Learning For Games","version":1},"cited_work":{"arxiv_id":"1912.03918","doi":null,"metadata_source":"pith","pith_arxiv_id":"1912.03918","snapshot_observed_at":"2026-08-06T22:21:10.111448Z","title":"Transformer Based Reinforcement Learning For Games","venue":"cs.LG","work_id":"dd1640a2-59a6-4b45-a5ed-633eb5178856","year":2019},"citing_paper":{"arxiv_id":"2506.21956","last_updated":"2025-06-27T06:56:54Z","snapshot_observed_at":"2026-08-06T22:12:24.428776Z","submitted_at":"2025-06-27T06:56:54Z","title":"Optimal Return-to-Go Guided Decision Transformer for Auto-Bidding in Advertisement","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-06T22:21:09.766038Z"},"links":{"cited_paper":"/paper/1912.03918","citing_paper":"/paper/2506.21956"},"observation_digest":"sha256:932c2b422f1e61583850ab7504795051a757003671d2a49d8bcd9349bef70641","observation_id":"dd167ba2-3f29-40b7-9e76-be7a2fa3ca05","resolution":{"observed_at":"2026-08-06T22:21:10.175990Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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/1912.03918/citation-record","integrity":"/paper/1912.03918/integrity","json":"/paper/1912.03918/citation-record.json","paper":"/paper/1912.03918"},"outbound":[],"paper":{"arxiv_id":"1912.03918","last_updated":"2019-12-09T09:35:48Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T18:41:38.611692Z","submitted_at":"2019-12-09T09:35:48Z","title":"Transformer Based Reinforcement Learning For Games"},"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:1912.03918."}