{"as_of":"2026-08-10T17:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b92d8851e4d14499db21ea55cb24c9126742e1a56ec9a8942d7511acb55c7f4f","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":"2026-08-08T05:44:46.515939Z","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":"2026-08-08T05:44:46.769810Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2307.11494","last_updated":"2023-11-22T12:25:41Z","snapshot_observed_at":"2026-07-06T15:56:53.619825Z","submitted_at":"2023-07-21T10:56:36Z","title":"Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting","version":3},"cited_work":{"arxiv_id":"2307.11494","doi":null,"metadata_source":"pith","pith_arxiv_id":"2307.11494","snapshot_observed_at":"2026-08-08T05:44:46.769810Z","title":"Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting","venue":"cs.LG","work_id":"46f899a5-e33c-4d8a-8e74-969e3fcaaea9","year":2023},"citing_paper":{"arxiv_id":"2502.08302","last_updated":"2025-02-12T11:03:51Z","snapshot_observed_at":"2026-08-09T02:39:56.008707Z","submitted_at":"2025-02-12T11:03:51Z","title":"HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-08T05:44:46.515939Z"},"links":{"cited_paper":"/paper/2307.11494","citing_paper":"/paper/2502.08302"},"observation_digest":"sha256:0e2989cda2c3dbbebfebad2161e32668cb95391babaf3e5bc9e9b729d5c4a190","observation_id":"230e456e-f634-49bc-aeed-28340a6d9b67","resolution":{"observed_at":"2026-08-08T05:44:46.775437Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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/2307.11494/citation-record","integrity":"/paper/2307.11494/integrity","json":"/paper/2307.11494/citation-record.json","paper":"/paper/2307.11494"},"outbound":[],"paper":{"arxiv_id":"2307.11494","last_updated":"2023-11-22T12:25:41Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T15:56:53.619825Z","submitted_at":"2023-07-21T10:56:36Z","title":"Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting"},"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:2307.11494."}