{"as_of":"2026-08-08T11:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3fd02ef85ff6cf5538cb89c1e5967aba6161a73c81ba8f0dec9cf632d1fb1bbe","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":"2026-08-07T14:27:42.499029Z","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":"2026-05-11T17:31:05.018669Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2309.16400","last_updated":"2023-09-28T12:46:54Z","snapshot_observed_at":"2026-08-06T09:43:26.509980Z","submitted_at":"2023-09-28T12:46:54Z","title":"Physics-Preserving AI-Accelerated Simulations of Plasma Turbulence","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16400","snapshot_observed_at":"2026-08-07T14:27:42.499029Z","title":"Physics-preserving ai-accelerated simulations of plasma turbulence.arXiv preprint arXiv:2309.16400, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.18857","last_updated":"2025-05-24T20:27:16Z","snapshot_observed_at":"2026-08-08T07:12:33.861005Z","submitted_at":"2025-05-24T20:27:16Z","title":"Hierarchical-embedding autoencoder with a predictor (HEAP) as efficient architecture for learning long-term evolution of complex multi-scale physical systems","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T14:27:42.499029Z"},"links":{"cited_paper":"/paper/2309.16400","citing_paper":"/paper/2505.18857"},"observation_digest":"sha256:302872ddb25b69f1fa3935fbd017c338eef5a884f00be4546ed5b9969f138ffc","observation_id":"f7e4482d-abd3-4c9a-804e-187bb3f7d3ff","resolution":{"observed_at":"2026-08-07T14:27:42.499029Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16400","last_updated":"2023-09-28T12:46:54Z","snapshot_observed_at":"2026-08-06T09:43:26.509980Z","submitted_at":"2023-09-28T12:46:54Z","title":"Physics-Preserving AI-Accelerated Simulations of Plasma Turbulence","version":1},"cited_work":{"arxiv_id":"2309.16400","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2309.16400","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Physics-preserving ai-accelerated simulations of plasma turbulence","venue":null,"work_id":"5e26a17b-4f4b-4bf6-8cb8-0c27cb4be4de","year":2023},"citing_paper":{"arxiv_id":"2604.05700","last_updated":"2026-04-07T10:53:37Z","snapshot_observed_at":"2026-07-06T22:54:21.571606Z","submitted_at":"2026-04-07T10:53:37Z","title":"Optimal-Transport-Guided Functional Flow Matching for Turbulent Field Generation in Hilbert Space","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-10T19:38:58.872857Z"},"links":{"cited_paper":"/paper/2309.16400","citing_paper":"/paper/2604.05700"},"observation_digest":"sha256:bbee06669eee18a1d02b12e738a330cbf2c18366cfb3d378e4ceb9930fea3620","observation_id":"e9e5c2f2-2296-4236-9e86-b4855c9d5acc","resolution":{"observed_at":"2026-05-10T22:40:50.914706Z","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":"2309.16400","last_updated":"2023-09-28T12:46:54Z","snapshot_observed_at":"2026-08-06T09:43:26.509980Z","submitted_at":"2023-09-28T12:46:54Z","title":"Physics-Preserving AI-Accelerated Simulations of Plasma Turbulence","version":1},"cited_work":{"arxiv_id":"2309.16400","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2309.16400","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Physics-preserving ai-accelerated simulations of plasma turbulence","venue":null,"work_id":"5e26a17b-4f4b-4bf6-8cb8-0c27cb4be4de","year":2023},"citing_paper":{"arxiv_id":"2605.04198","last_updated":"2026-05-05T18:40:59Z","snapshot_observed_at":"2026-07-06T23:16:59.568304Z","submitted_at":"2026-05-05T18:40:59Z","title":"Deep Wave Network for Modeling Multi-Scale Physical Dynamics","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-08T17:33:24.661591Z"},"links":{"cited_paper":"/paper/2309.16400","citing_paper":"/paper/2605.04198"},"observation_digest":"sha256:5dc160eeaf4ec10bb30e581466a885e7123cbeafee05d102b4031648d87218ef","observation_id":"ee303e85-7829-41ec-8437-4da7e7de4dee","resolution":{"observed_at":"2026-05-11T17:31:05.026246Z","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/2309.16400/citation-record","integrity":"/paper/2309.16400/integrity","json":"/paper/2309.16400/citation-record.json","paper":"/paper/2309.16400"},"outbound":[],"paper":{"arxiv_id":"2309.16400","last_updated":"2023-09-28T12:46:54Z","latest_version":1,"primary_category":"physics.comp-ph","snapshot_observed_at":"2026-08-06T09:43:26.509980Z","submitted_at":"2023-09-28T12:46:54Z","title":"Physics-Preserving AI-Accelerated Simulations of Plasma Turbulence"},"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:2309.16400."}