{"as_of":"2026-08-10T23:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:885d5c0cedc89dff2c3543ab6963b3e4f50405c853ad9ffd47cc4a99df0abd23","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":"2026-08-10T06:31:04.303077+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":"2026-08-09T14:29:12.439940Z","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":"2026-08-09T14:29:12.690749Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.00626","last_updated":"2024-10-31T11:39:25Z","snapshot_observed_at":"2026-08-10T16:50:02.829404Z","submitted_at":"2024-06-30T08:52:17Z","title":"Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models","version":2},"cited_work":{"arxiv_id":"2407.00626","doi":null,"metadata_source":"pith","pith_arxiv_id":"2407.00626","snapshot_observed_at":"2026-08-09T14:29:12.690749Z","title":"Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models","venue":"cs.LG","work_id":"baa4a015-8ab3-4f93-b236-195720e88248","year":2024},"citing_paper":{"arxiv_id":"2502.01819","last_updated":"2025-08-21T22:02:14Z","snapshot_observed_at":"2026-08-09T19:12:28.575818Z","submitted_at":"2025-02-03T20:50:05Z","title":"Score as Action: Fine-Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-09T14:29:12.439940Z"},"links":{"cited_paper":"/paper/2407.00626","citing_paper":"/paper/2502.01819"},"observation_digest":"sha256:e0b1831da66d67c21e68d6acea39a960e9fdd75472f479c86bd49456b00b497e","observation_id":"5a7f53eb-6642-4d76-9d21-89c598da81b0","resolution":{"observed_at":"2026-08-09T14:29:12.769275Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2407.00626/citation-record","integrity":"/paper/2407.00626/integrity","json":"/paper/2407.00626/citation-record.json","paper":"/paper/2407.00626"},"outbound":[],"paper":{"arxiv_id":"2407.00626","last_updated":"2024-10-31T11:39:25Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-10T16:50:02.829404Z","submitted_at":"2024-06-30T08:52:17Z","title":"Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2407.00626."}