{"as_of":"2026-08-17T16:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:01dcbf288ff7c379aa8bb15f4289663156d42c3837c4fc3dd1bf931ddac677f2","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T23:49:43.172105Z","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":"2026-07-02T02:56:28.653882Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2508.09164","last_updated":"2025-08-06T03:11:27Z","snapshot_observed_at":"2026-08-15T16:03:23.554363Z","submitted_at":"2025-08-06T03:11:27Z","title":"Generating Feasible and Diverse Synthetic Populations Using Diffusion Models","version":1},"cited_work":{"arxiv_id":"2508.09164","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2508.09164","snapshot_observed_at":"2026-07-02T02:56:28.653882Z","title":"Generating feasible and diverse synthetic populations using diffusion models, 2025","venue":null,"work_id":"7f55aaee-8ae1-480a-8445-eb9de68e4473","year":2025},"citing_paper":{"arxiv_id":"2607.00910","last_updated":"2026-07-01T13:12:55Z","snapshot_observed_at":"2026-08-13T05:20:24.094868Z","submitted_at":"2026-07-01T13:12:55Z","title":"Calibrating the Instrument: Controllability of an LLM-Driven Synthetic Population","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-07-02T02:46:51.196540Z"},"links":{"cited_paper":"/paper/2508.09164","citing_paper":"/paper/2607.00910"},"observation_digest":"sha256:7b2c4144b862538e94bd87d2e701c85ee088968f6367ccc0af683a6a0c67e514","observation_id":"85b03608-9b39-44db-a34c-aa8640cc6806","resolution":{"observed_at":"2026-07-02T02:56:28.657172Z","resolver_source":"arxiv_id","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"}},{"citation":{"cited_paper":{"arxiv_id":"2508.09164","last_updated":"2025-08-06T03:11:27Z","snapshot_observed_at":"2026-08-15T16:03:23.554363Z","submitted_at":"2025-08-06T03:11:27Z","title":"Generating Feasible and Diverse Synthetic Populations Using Diffusion Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.09164","snapshot_observed_at":"2026-08-15T23:49:43.172105Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.12768","last_updated":"2026-08-13T03:21:12Z","snapshot_observed_at":"2026-08-16T23:10:58.035366Z","submitted_at":"2026-08-13T03:21:12Z","title":"A Generative Framework for the Creation of Multi-Attribute Geographically-Explicit Synthetic Population","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T23:49:43.172105Z"},"links":{"cited_paper":"/paper/2508.09164","citing_paper":"/paper/2608.12768"},"observation_digest":"sha256:c0742bdaf56eaaa8ce288747263a050a64b9313f2fdd0329f0a898a8bff82cb7","observation_id":"984c5c43-103c-4a78-bc86-e72fdb09af77","resolution":{"observed_at":"2026-08-15T23:49:43.172105Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2508.09164/citation-record","integrity":"/paper/2508.09164/integrity","json":"/paper/2508.09164/citation-record.json","paper":"/paper/2508.09164"},"outbound":[],"paper":{"arxiv_id":"2508.09164","last_updated":"2025-08-06T03:11:27Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-15T16:03:23.554363Z","submitted_at":"2025-08-06T03:11:27Z","title":"Generating Feasible and Diverse Synthetic Populations Using Diffusion 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":"2026-08-17T06:30:58.91139+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 2 inbound Pith citation observations for arXiv:2508.09164."}