{"as_of":"2026-08-17T12:31:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5b81552b459fd13f692322003a3e813f87ea3950a81c63aafd0f2bb4df08932e","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T14:31:03.581301Z","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":"2026-07-03T03:27:34.827419Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2206.04594","last_updated":"2022-06-14T11:17:28Z","snapshot_observed_at":"2026-08-16T16:54:07.705081Z","submitted_at":"2022-06-09T16:21:57Z","title":"Field Level Neural Network Emulator for Cosmological N-body Simulations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.04594","snapshot_observed_at":"2026-08-12T14:31:03.581301Z","title":"Jamieson, Y","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.15140","last_updated":"2024-11-26T20:13:59Z","snapshot_observed_at":"2026-08-15T15:59:27.798126Z","submitted_at":"2024-11-22T18:59:52Z","title":"Emulating Recombination with Neural Networks using Universal Differential Equations","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:03.581301Z"},"links":{"cited_paper":"/paper/2206.04594","citing_paper":"/paper/2411.15140"},"observation_digest":"sha256:25925ea572d94e23808062496d5b01cb882593f7330e0b96a63e7214dc37a3e7","observation_id":"8a7e0d5f-05f5-49e2-87c0-0c8a2a42e110","resolution":{"observed_at":"2026-08-12T14:31:03.581301Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.04594","last_updated":"2022-06-14T11:17:28Z","snapshot_observed_at":"2026-08-16T16:54:07.705081Z","submitted_at":"2022-06-09T16:21:57Z","title":"Field Level Neural Network Emulator for Cosmological N-body Simulations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.04594","snapshot_observed_at":"2026-08-06T18:16:07.575250Z","title":"A., Villaescusa-Navarro F., Ho S., Spergel D","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.08925","last_updated":"2025-07-11T18:00:00Z","snapshot_observed_at":"2026-08-06T21:48:06.406035Z","submitted_at":"2025-07-11T18:00:00Z","title":"Cosmological Simulations of Galaxies","version":1},"reference_index":153,"source":"arxiv_source","source_observed_at":"2026-08-06T18:16:07.575250Z"},"links":{"cited_paper":"/paper/2206.04594","citing_paper":"/paper/2507.08925"},"observation_digest":"sha256:c8b9c21b3eb3336bc7d09e92a5929becaf725b197b9821371ca55599609a2c8f","observation_id":"49c983cd-ac07-4c1b-94a8-92fa47be0546","resolution":{"observed_at":"2026-08-06T18:16:07.575250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.04594","last_updated":"2022-06-14T11:17:28Z","snapshot_observed_at":"2026-08-16T16:54:07.705081Z","submitted_at":"2022-06-09T16:21:57Z","title":"Field Level Neural Network Emulator for Cosmological N-body Simulations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.04594","snapshot_observed_at":"2026-08-03T05:10:24.343990Z","title":"Jamieson, Y","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.03313","last_updated":"2026-07-23T06:47:43Z","snapshot_observed_at":"2026-08-17T03:43:41.410148Z","submitted_at":"2026-02-03T09:42:28Z","title":"Seeing Wiggles without Seeing Wiggles: BAO Recovery in 21 cm Intensity Mapping with Deep Learning","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-03T05:10:24.343990Z"},"links":{"cited_paper":"/paper/2206.04594","citing_paper":"/paper/2602.03313"},"observation_digest":"sha256:f02ee2e9e3dfb53f61ecbf0ab217476b53efa0c5cf94a0bbf397c338bc80ed8b","observation_id":"5811e22d-2ac1-43dd-a0fe-15ec9bac13cc","resolution":{"observed_at":"2026-08-03T05:10:24.343990Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.04594","last_updated":"2022-06-14T11:17:28Z","snapshot_observed_at":"2026-08-16T16:54:07.705081Z","submitted_at":"2022-06-09T16:21:57Z","title":"Field Level Neural Network Emulator for Cosmological N-body Simulations","version":2},"cited_work":{"arxiv_id":"2206.04594","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2206.04594","snapshot_observed_at":"2026-07-03T03:27:34.827419Z","title":"arXiv: 2206.04594 , eprint =","venue":null,"work_id":"0a2acf9d-cf40-44a2-a3ae-8e3b704d953a","year":null},"citing_paper":{"arxiv_id":"2606.10023","last_updated":"2026-06-08T18:08:00Z","snapshot_observed_at":"2026-08-16T17:06:41.618662Z","submitted_at":"2026-06-08T18:08:00Z","title":"Learning the Universe: Posterior Reliability of Neural Generative Models in High-Dimensional Field-Level Inference of Cosmic Initial Conditions","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-06-27T15:22:40.822607Z"},"links":{"cited_paper":"/paper/2206.04594","citing_paper":"/paper/2606.10023"},"observation_digest":"sha256:e8d99dd9f69b699362ad4429958ec662fedd1cbab4c0f94eb4d1908a7f86bafe","observation_id":"ee09786c-04cd-4807-9afe-a62d95fe36cb","resolution":{"observed_at":"2026-07-03T03:27:34.828935Z","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":"2206.04594","last_updated":"2022-06-14T11:17:28Z","snapshot_observed_at":"2026-08-16T16:54:07.705081Z","submitted_at":"2022-06-09T16:21:57Z","title":"Field Level Neural Network Emulator for Cosmological N-body Simulations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.04594","snapshot_observed_at":"2026-07-31T02:27:17.053049Z","title":", keywords =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.28604","last_updated":"2026-07-30T17:54:43Z","snapshot_observed_at":"2026-08-06T11:18:05.221988Z","submitted_at":"2026-07-30T17:54:43Z","title":"Cosmo-SPINN: Fuzzy Dark Matter Simulations with Physics-Informed Generative Networks","version":1},"reference_index":88,"source":"arxiv_source","source_observed_at":"2026-07-31T02:27:17.053049Z"},"links":{"cited_paper":"/paper/2206.04594","citing_paper":"/paper/2607.28604"},"observation_digest":"sha256:b0a24cc278fd5d0943e3e09de75de691eed37dd143e01f242fa1eaac3fe8d8b9","observation_id":"64454c99-0e25-454f-9057-8e2d6e0e6134","resolution":{"observed_at":"2026-07-31T02:27:17.053049Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2206.04594/citation-record","integrity":"/paper/2206.04594/integrity","json":"/paper/2206.04594/citation-record.json","paper":"/paper/2206.04594"},"outbound":[],"paper":{"arxiv_id":"2206.04594","last_updated":"2022-06-14T11:17:28Z","latest_version":2,"primary_category":"astro-ph.CO","snapshot_observed_at":"2026-08-16T16:54:07.705081Z","submitted_at":"2022-06-09T16:21:57Z","title":"Field Level Neural Network Emulator for Cosmological N-body Simulations"},"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 5 inbound Pith citation observations for arXiv:2206.04594."}