{"as_of":"2026-08-08T13:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1baa0f97796eddf26d05bdec6d113d980cda302e984b452f42d5001ca33b52ea","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T11:58:47.689585Z","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":"2026-05-23T03:17:27.300457Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.13747","last_updated":"2025-08-18T07:48:27Z","snapshot_observed_at":"2026-08-07T18:04:53.688824Z","submitted_at":"2025-02-19T14:10:15Z","title":"Reverse Markov Learning: Multi-Step Generative Models for Complex Distributions","version":2},"cited_work":{"arxiv_id":"2502.13747","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.13747","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Reverse Markov Learning: Multi-Step Generative Models for Complex Distributions","venue":null,"work_id":"cbae37eb-8870-47a2-b4f3-ffb4484c0398","year":2025},"citing_paper":{"arxiv_id":"2502.11583","last_updated":"2025-10-27T00:26:42Z","snapshot_observed_at":"2026-07-06T20:37:37.864423Z","submitted_at":"2025-02-17T09:16:25Z","title":"Distributional Autoencoders Know the Score","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-23T03:17:05.174899Z"},"links":{"cited_paper":"/paper/2502.13747","citing_paper":"/paper/2502.11583"},"observation_digest":"sha256:23e3d7a66dd1e5adb6563df28628423113b8b04384fd5e632cd0198cd3db86bc","observation_id":"59f6abee-6705-4c2d-8cba-9f08cd812193","resolution":{"observed_at":"2026-05-23T03:17:27.304626Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2502.13747","last_updated":"2025-08-18T07:48:27Z","snapshot_observed_at":"2026-08-07T18:04:53.688824Z","submitted_at":"2025-02-19T14:10:15Z","title":"Reverse Markov Learning: Multi-Step Generative Models for Complex Distributions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.13747","snapshot_observed_at":"2026-08-07T11:58:47.689585Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.01083","last_updated":"2025-08-22T12:36:13Z","snapshot_observed_at":"2026-08-07T11:48:50.480129Z","submitted_at":"2025-06-01T17:01:14Z","title":"Generative diffusion posterior sampling for informative likelihoods","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T11:58:47.689585Z"},"links":{"cited_paper":"/paper/2502.13747","citing_paper":"/paper/2506.01083"},"observation_digest":"sha256:533f4b96e5a2b951aa2f8171ddf17aef1ef63c18b2c4f907e97587f6a8c348ff","observation_id":"f77ca313-47cd-4acd-9891-a0dd67cc75f8","resolution":{"observed_at":"2026-08-07T11:58:47.689585Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.13747","last_updated":"2025-08-18T07:48:27Z","snapshot_observed_at":"2026-08-07T18:04:53.688824Z","submitted_at":"2025-02-19T14:10:15Z","title":"Reverse Markov Learning: Multi-Step Generative Models for Complex Distributions","version":2},"cited_work":{"arxiv_id":"2502.13747","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.13747","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Reverse Markov Learning: Multi-Step Generative Models for Complex Distributions","venue":null,"work_id":"cbae37eb-8870-47a2-b4f3-ffb4484c0398","year":2025},"citing_paper":{"arxiv_id":"2509.26258","last_updated":"2026-04-10T13:05:06Z","snapshot_observed_at":"2026-07-30T03:21:05.111148Z","submitted_at":"2025-09-30T13:46:14Z","title":"EnScale: Temporally-consistent multivariate generative downscaling via proper scoring rules","version":3},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-18T11:56:19.932735Z"},"links":{"cited_paper":"/paper/2502.13747","citing_paper":"/paper/2509.26258"},"observation_digest":"sha256:746ff54cf3a96098afa1eb43baaa2e4840f8a58e968ca20ea3f3b9a47e3d88a1","observation_id":"12a11573-7ce5-4be8-9bd7-3040d9cc6f1b","resolution":{"observed_at":"2026-05-18T12:01:21.530048Z","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/2502.13747/citation-record","integrity":"/paper/2502.13747/integrity","json":"/paper/2502.13747/citation-record.json","paper":"/paper/2502.13747"},"outbound":[],"paper":{"arxiv_id":"2502.13747","last_updated":"2025-08-18T07:48:27Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T18:04:53.688824Z","submitted_at":"2025-02-19T14:10:15Z","title":"Reverse Markov Learning: Multi-Step Generative Models for Complex Distributions"},"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 3 inbound Pith citation observations for arXiv:2502.13747."}