{"as_of":"2026-08-07T20:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b57ae18a7350ce92ab99647808a6abc35e9dd8db784e310ab3dad66f46fc2ed2","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":"2026-08-06T19:42:18.031164Z","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":"2026-08-06T19:42:18.170138Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.08725","last_updated":"2024-12-11T19:00:09Z","snapshot_observed_at":"2026-07-06T20:05:32.369933Z","submitted_at":"2024-12-11T19:00:09Z","title":"A quantum-classical reinforcement learning model to play Atari games","version":1},"cited_work":{"arxiv_id":"2412.08725","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.08725","snapshot_observed_at":"2026-08-06T19:42:18.170138Z","title":"A quantum-classical reinforcement learning model to play Atari games","venue":"quant-ph","work_id":"669124bc-7d98-464e-9435-4d707951d6e9","year":2024},"citing_paper":{"arxiv_id":"2507.05120","last_updated":"2025-07-07T15:33:36Z","snapshot_observed_at":"2026-08-07T14:45:42.730552Z","submitted_at":"2025-07-07T15:33:36Z","title":"Experimental data re-uploading with provable enhanced learning capabilities","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T19:42:18.031164Z"},"links":{"cited_paper":"/paper/2412.08725","citing_paper":"/paper/2507.05120"},"observation_digest":"sha256:969c9fe6606b12664deb6812390b9b6c128d9ee7dbab83ff12a94139d8f5a0e3","observation_id":"b1db1436-584d-422a-bba8-365fac55b5ae","resolution":{"observed_at":"2026-08-06T19:42:18.177128Z","resolver_source":"local_arxiv","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/2412.08725/citation-record","integrity":"/paper/2412.08725/integrity","json":"/paper/2412.08725/citation-record.json","paper":"/paper/2412.08725"},"outbound":[],"paper":{"arxiv_id":"2412.08725","last_updated":"2024-12-11T19:00:09Z","latest_version":1,"primary_category":"quant-ph","snapshot_observed_at":"2026-07-06T20:05:32.369933Z","submitted_at":"2024-12-11T19:00:09Z","title":"A quantum-classical reinforcement learning model to play Atari 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:2412.08725."}