{"as_of":"2026-08-21T15:14:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:06be679cd788b554a3812da52a440c6941eebda938140b01c22271e112d956c9","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":"2026-08-21T06:32:19.484+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":"2026-08-11T14:21:18.989040Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2408.07435","last_updated":"2024-11-25T09:45:15Z","snapshot_observed_at":"2026-08-17T16:08:35.415928Z","submitted_at":"2024-08-14T10:12:15Z","title":"Real-world validation of safe reinforcement learning, model predictive control and decision tree-based home energy management systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.07435","snapshot_observed_at":"2026-08-11T14:21:18.989040Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.12046","last_updated":"2024-12-16T18:15:49Z","snapshot_observed_at":"2026-08-20T19:14:56.302173Z","submitted_at":"2024-12-16T18:15:49Z","title":"Artificial Intelligence in Traffic Systems","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-11T14:21:18.989040Z"},"links":{"cited_paper":"/paper/2408.07435","citing_paper":"/paper/2412.12046"},"observation_digest":"sha256:a98b06f26d714be6835c57163d9c35d2097e6dae4157a66023fa167325d3f32e","observation_id":"00d4f4b2-dc3a-4aa8-9521-ac8fccf787b7","resolution":{"observed_at":"2026-08-11T14:21:18.989040Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2408.07435/citation-record","integrity":"/paper/2408.07435/integrity","json":"/paper/2408.07435/citation-record.json","paper":"/paper/2408.07435"},"outbound":[],"paper":{"arxiv_id":"2408.07435","last_updated":"2024-11-25T09:45:15Z","latest_version":2,"primary_category":"eess.SY","snapshot_observed_at":"2026-08-17T16:08:35.415928Z","submitted_at":"2024-08-14T10:12:15Z","title":"Real-world validation of safe reinforcement learning, model predictive control and decision tree-based home energy management systems"},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2408.07435."}