{"as_of":"2026-08-08T17:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:76cf6cbd7685805158fb89f859e7c3d546a18714e0f127d85c80aa7355845f17","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":"2026-08-08T06:32:00.761636+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":"2026-07-31T19:30:19.899055Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2409.11541","last_updated":"2024-09-17T20:28:10Z","snapshot_observed_at":"2026-07-06T19:17:13.095667Z","submitted_at":"2024-09-17T20:28:10Z","title":"Using Physics Informed Generative Adversarial Networks to Model 3D porous media","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.11541","snapshot_observed_at":"2026-07-31T19:30:19.899055Z","title":"Using physics informed generative adversarial networks to model 3d porous media,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.24274","last_updated":"2026-07-27T11:17:52Z","snapshot_observed_at":"2026-07-31T19:30:18.962045Z","submitted_at":"2026-07-27T11:17:52Z","title":"Physics-Guided Generative AI for Property-Targeted 3D Porous Media Design","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-31T19:30:19.899055Z"},"links":{"cited_paper":"/paper/2409.11541","citing_paper":"/paper/2607.24274"},"observation_digest":"sha256:4b7a206d4ff1efc01e58c48a85c9a50a56209b054a223fd32bd74503a1f5c571","observation_id":"925dc26c-705e-40b5-a589-a23c6de00d3c","resolution":{"observed_at":"2026-07-31T19:30:19.899055Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2409.11541/citation-record","integrity":"/paper/2409.11541/integrity","json":"/paper/2409.11541/citation-record.json","paper":"/paper/2409.11541"},"outbound":[],"paper":{"arxiv_id":"2409.11541","last_updated":"2024-09-17T20:28:10Z","latest_version":1,"primary_category":"eess.IV","snapshot_observed_at":"2026-07-06T19:17:13.095667Z","submitted_at":"2024-09-17T20:28:10Z","title":"Using Physics Informed Generative Adversarial Networks to Model 3D porous media"},"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 1 inbound Pith citation observation for arXiv:2409.11541."}