{"as_of":"2026-08-20T00:28:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:631aaf996961700a62d328680eaf84781295ea993b759ad1b418511bacbd3093","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":"2026-08-19T06:32:44.657259+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":"2026-06-26T05:54:23.588768Z","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":"2026-07-04T12:49:52.606036Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2205.15056","last_updated":"2022-05-30T12:36:48Z","snapshot_observed_at":"2026-08-19T00:47:05.860288Z","submitted_at":"2022-05-30T12:36:48Z","title":"Stock Trading Optimization through Model-based Reinforcement Learning with Resistance Support Relative Strength","version":1},"cited_work":{"arxiv_id":"2205.15056","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2205.15056","snapshot_observed_at":"2026-07-04T12:49:52.606036Z","title":null,"venue":null,"work_id":"da4c8562-4fa6-4b0b-be61-c48ef02ada54","year":2022},"citing_paper":{"arxiv_id":"2606.23463","last_updated":"2026-06-22T15:12:02Z","snapshot_observed_at":"2026-08-15T21:53:47.622183Z","submitted_at":"2026-06-22T15:12:02Z","title":"Equilibrium World Models","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-26T05:54:23.588768Z"},"links":{"cited_paper":"/paper/2205.15056","citing_paper":"/paper/2606.23463"},"observation_digest":"sha256:d3ce879e97c8aeff83986c8e08e2618fbe0ba6356653ae310664483f6d31244c","observation_id":"8eafd910-63f1-4f91-9b4d-50ff6cfc221b","resolution":{"observed_at":"2026-07-04T12:49:52.607691Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2205.15056/citation-record","integrity":"/paper/2205.15056/integrity","json":"/paper/2205.15056/citation-record.json","paper":"/paper/2205.15056"},"outbound":[],"paper":{"arxiv_id":"2205.15056","last_updated":"2022-05-30T12:36:48Z","latest_version":1,"primary_category":"q-fin.MF","snapshot_observed_at":"2026-08-19T00:47:05.860288Z","submitted_at":"2022-05-30T12:36:48Z","title":"Stock Trading Optimization through Model-based Reinforcement Learning with Resistance Support Relative Strength"},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2205.15056."}