{"as_of":"2026-08-08T12:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f2f08eb3e9ee6957e41ec635f90cc735627604608bd9f55cfce14dfebea87b1d","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:10:07.161039Z","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":"2026-06-29T22:54:01.341139Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.04553","last_updated":"2024-10-06T17:12:10Z","snapshot_observed_at":"2026-07-06T19:28:39.495408Z","submitted_at":"2024-10-06T17:12:10Z","title":"Bisimulation metric for Model Predictive Control","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.04553","snapshot_observed_at":"2026-08-07T12:10:07.161039Z","title":"Bisimulation metric for model predictive control","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.00563","last_updated":"2025-09-08T18:56:14Z","snapshot_observed_at":"2026-08-07T12:00:27.421702Z","submitted_at":"2025-05-31T13:43:41Z","title":"Understanding Behavioral Metric Learning: A Large-Scale Study on Distracting Reinforcement Learning Environments","version":2},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-07T12:10:07.161039Z"},"links":{"cited_paper":"/paper/2410.04553","citing_paper":"/paper/2506.00563"},"observation_digest":"sha256:93aa47aa3b40283bdef29a8eb5701406c323bfe1e94f3196adbf8691b124c3da","observation_id":"5fd4873b-5137-480a-9f76-3412cba45740","resolution":{"observed_at":"2026-08-07T12:10:07.161039Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.04553","last_updated":"2024-10-06T17:12:10Z","snapshot_observed_at":"2026-07-06T19:28:39.495408Z","submitted_at":"2024-10-06T17:12:10Z","title":"Bisimulation metric for Model Predictive Control","version":1},"cited_work":{"arxiv_id":"2410.04553","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.04553","snapshot_observed_at":"2026-06-29T22:54:01.341139Z","title":"Bisimulation metric for model predictive control","venue":null,"work_id":"0214c3e7-bb1c-47aa-b016-f8c5973c2b23","year":2024},"citing_paper":{"arxiv_id":"2605.26282","last_updated":"2026-05-25T19:06:51Z","snapshot_observed_at":"2026-08-02T12:16:30.744884Z","submitted_at":"2026-05-25T19:06:51Z","title":"Scaling World-Model Reinforcement Learning Through Diffusion Policy Optimization","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-29T22:46:27.179341Z"},"links":{"cited_paper":"/paper/2410.04553","citing_paper":"/paper/2605.26282"},"observation_digest":"sha256:8c6f4803424b854e240bbb17842d4de8412a09cf43dfeba29c3c4d7dad2ef110","observation_id":"2f604fde-b5c2-4a84-adb8-e434163f30d0","resolution":{"observed_at":"2026-06-29T22:54:01.342600Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2410.04553/citation-record","integrity":"/paper/2410.04553/integrity","json":"/paper/2410.04553/citation-record.json","paper":"/paper/2410.04553"},"outbound":[],"paper":{"arxiv_id":"2410.04553","last_updated":"2024-10-06T17:12:10Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T19:28:39.495408Z","submitted_at":"2024-10-06T17:12:10Z","title":"Bisimulation metric for Model Predictive Control"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.04553."}