{"as_of":"2026-08-09T12:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:dd1b459dae0a76f0729f2c3cb3b25d7f34dde807e691597284c359d32b17f6fd","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":"2026-08-09T06:31:02.800959+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":"2026-08-06T18:20:25.820875Z","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":"2026-08-06T18:20:25.874020Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1810.10593","last_updated":"2018-10-24T20:00:50Z","snapshot_observed_at":"2026-07-06T07:10:25.716310Z","submitted_at":"2018-10-24T20:00:50Z","title":"Inverse reinforcement learning for video games","version":1},"cited_work":{"arxiv_id":"1810.10593","doi":null,"metadata_source":"pith","pith_arxiv_id":"1810.10593","snapshot_observed_at":"2026-08-06T18:20:25.874020Z","title":"Inverse reinforcement learning for video games","venue":"cs.LG","work_id":"826dba44-2691-4527-82eb-54be5b7aa67a","year":2018},"citing_paper":{"arxiv_id":"2507.08707","last_updated":"2025-07-11T16:05:18Z","snapshot_observed_at":"2026-08-09T00:44:46.421146Z","submitted_at":"2025-07-11T16:05:18Z","title":"SPLASH! Sample-efficient Preference-based inverse reinforcement learning for Long-horizon Adversarial tasks from Suboptimal Hierarchical demonstrations","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T18:20:25.820875Z"},"links":{"cited_paper":"/paper/1810.10593","citing_paper":"/paper/2507.08707"},"observation_digest":"sha256:f4b85f95d10d42f0fdecde5f66b8558d27c04ed607a72567138f5605ed65d6a2","observation_id":"fcdadd5c-ed15-4e7a-8265-1406a9c589bf","resolution":{"observed_at":"2026-08-06T18:20:25.879792Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1810.10593/citation-record","integrity":"/paper/1810.10593/integrity","json":"/paper/1810.10593/citation-record.json","paper":"/paper/1810.10593"},"outbound":[],"paper":{"arxiv_id":"1810.10593","last_updated":"2018-10-24T20:00:50Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T07:10:25.716310Z","submitted_at":"2018-10-24T20:00:50Z","title":"Inverse reinforcement learning for video 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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1810.10593."}