{"as_of":"2026-08-10T14:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e820c861e1a686eec392216a101be2758f21213bcfb11390dd3244776c6b47e9","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":"2026-08-10T06:31:04.303077+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":"2026-08-09T12:06:48.403293Z","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":"2026-05-16T18:58:18.887692Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2310.08337","last_updated":"2024-06-01T09:56:39Z","snapshot_observed_at":"2026-08-06T06:07:42.124121Z","submitted_at":"2023-10-12T13:54:55Z","title":"Neural Diffusion Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.08337","snapshot_observed_at":"2026-08-09T12:06:48.403293Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.02472","last_updated":"2025-06-26T07:38:35Z","snapshot_observed_at":"2026-08-10T04:50:19.553655Z","submitted_at":"2025-02-04T16:47:49Z","title":"SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations","version":3},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-09T12:06:48.403293Z"},"links":{"cited_paper":"/paper/2310.08337","citing_paper":"/paper/2502.02472"},"observation_digest":"sha256:de027aa845de59ea4309e3b3d529a3cfc733237b2785a0aba6bc6ab284d3013f","observation_id":"23950448-948b-4b27-8757-0621ee4ef297","resolution":{"observed_at":"2026-08-09T12:06:48.403293Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.08337","last_updated":"2024-06-01T09:56:39Z","snapshot_observed_at":"2026-08-06T06:07:42.124121Z","submitted_at":"2023-10-12T13:54:55Z","title":"Neural Diffusion Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.08337","snapshot_observed_at":"2026-08-07T04:34:52.472292Z","title":"Neural diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.10532","last_updated":"2025-06-12T09:57:50Z","snapshot_observed_at":"2026-08-10T05:05:47.680851Z","submitted_at":"2025-06-12T09:57:50Z","title":"Equivariant Neural Diffusion for Molecule Generation","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T04:34:52.472292Z"},"links":{"cited_paper":"/paper/2310.08337","citing_paper":"/paper/2506.10532"},"observation_digest":"sha256:53d0c9e516af271da5bba9ee3288fa274886573f25aecc654cf481bff2fcfa4e","observation_id":"1829d999-0dc2-454e-be58-329c7ce65142","resolution":{"observed_at":"2026-08-07T04:34:52.472292Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.08337","last_updated":"2024-06-01T09:56:39Z","snapshot_observed_at":"2026-08-06T06:07:42.124121Z","submitted_at":"2023-10-12T13:54:55Z","title":"Neural Diffusion Models","version":3},"cited_work":{"arxiv_id":"2310.08337","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.08337","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"https: //arxiv.org/abs/2310.08337","venue":null,"work_id":"858974f8-871b-4a31-9797-3386b98e8654","year":2024},"citing_paper":{"arxiv_id":"2512.23748","last_updated":"2026-04-14T19:54:35Z","snapshot_observed_at":"2026-08-03T02:33:30.910059Z","submitted_at":"2025-12-26T18:18:25Z","title":"A Review of Diffusion-based Simulation-Based Inference: Foundations and Applications in Non-Ideal Data Scenarios","version":2},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-05-16T18:57:06.742017Z"},"links":{"cited_paper":"/paper/2310.08337","citing_paper":"/paper/2512.23748"},"observation_digest":"sha256:b437954c065ceb4277f200b243aaaaa11afb4be57f8bc7b9d2f09e5cbf5abcf4","observation_id":"33abc1ca-2d12-49f0-9387-1a27a1636c0e","resolution":{"observed_at":"2026-05-16T18:58:18.889066Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2310.08337/citation-record","integrity":"/paper/2310.08337/integrity","json":"/paper/2310.08337/citation-record.json","paper":"/paper/2310.08337"},"outbound":[],"paper":{"arxiv_id":"2310.08337","last_updated":"2024-06-01T09:56:39Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T06:07:42.124121Z","submitted_at":"2023-10-12T13:54:55Z","title":"Neural 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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.08337."}