{"as_of":"2026-08-17T18:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:57173e928a2ba00ea9978a7622fb8f09d66053446447b01cd50fa0d1432ee637","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":"2026-08-17T06:30:58.91139+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":"2026-08-15T20:59:30.253902Z","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":"2026-08-15T20:59:30.581437Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2308.03669","last_updated":"2023-12-14T08:54:25Z","snapshot_observed_at":"2026-08-16T15:10:13.477108Z","submitted_at":"2023-08-07T15:40:34Z","title":"Diffusion Model in Causal Inference with Unmeasured Confounders","version":4},"cited_work":{"arxiv_id":"2308.03669","doi":null,"metadata_source":"pith","pith_arxiv_id":"2308.03669","snapshot_observed_at":"2026-08-15T20:59:30.581437Z","title":"Diffusion Model in Causal Inference with Unmeasured Confounders","venue":"cs.LG","work_id":"90dfb332-8881-4bd7-851c-8d4b584c4e9c","year":2023},"citing_paper":{"arxiv_id":"2505.11444","last_updated":"2025-05-16T17:00:52Z","snapshot_observed_at":"2026-08-17T02:39:47.523212Z","submitted_at":"2025-05-16T17:00:52Z","title":"A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-15T20:59:30.253902Z"},"links":{"cited_paper":"/paper/2308.03669","citing_paper":"/paper/2505.11444"},"observation_digest":"sha256:530c90b1f9d30be44a30ba6dc0fbd4db706d4cdc78da1074ef1b0aaf1e2ac0f7","observation_id":"678483aa-c4ff-468e-9db4-8a13a2ab1783","resolution":{"observed_at":"2026-08-15T20:59:30.587702Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2308.03669/citation-record","integrity":"/paper/2308.03669/integrity","json":"/paper/2308.03669/citation-record.json","paper":"/paper/2308.03669"},"outbound":[],"paper":{"arxiv_id":"2308.03669","last_updated":"2023-12-14T08:54:25Z","latest_version":4,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T15:10:13.477108Z","submitted_at":"2023-08-07T15:40:34Z","title":"Diffusion Model in Causal Inference with Unmeasured Confounders"},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2308.03669."}