{"as_of":"2026-08-08T20:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e6d44eb4629877c1592bc602d6e6307befe1cb84c7ab8e695c264517eb8840b9","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":"2026-08-07T12:57:34.841225Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-07T10:54:50.779104Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2401.14069","last_updated":"2024-01-25T10:44:50Z","snapshot_observed_at":"2026-08-03T15:47:58.048354Z","submitted_at":"2024-01-25T10:44:50Z","title":"Neural Sinkhorn Gradient Flow","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.14069","snapshot_observed_at":"2026-08-07T12:57:34.841225Z","title":"Neural sinkhorn gradient flow","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23264","last_updated":"2025-05-29T09:13:36Z","snapshot_observed_at":"2026-08-07T12:46:53.749201Z","submitted_at":"2025-05-29T09:13:36Z","title":"Efficiently Access Diffusion Fisher: Within the Outer Product Span Space","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-07T12:57:34.841225Z"},"links":{"cited_paper":"/paper/2401.14069","citing_paper":"/paper/2505.23264"},"observation_digest":"sha256:d5d5b68bbd7a869b6b0d5c8af2dfbbd1f2431ce6fad656c19791045d7a3ed7ec","observation_id":"e7f3eff4-4ddb-4cfb-965b-673ee5d47bd9","resolution":{"observed_at":"2026-08-07T12:57:34.841225Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.14069","last_updated":"2024-01-25T10:44:50Z","snapshot_observed_at":"2026-08-03T15:47:58.048354Z","submitted_at":"2024-01-25T10:44:50Z","title":"Neural Sinkhorn Gradient Flow","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.14069","snapshot_observed_at":"2026-08-07T12:35:39.048047Z","title":"Neural sinkhorn gradient flow.arXiv preprint arXiv:2401.14069, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24222","last_updated":"2025-05-30T05:21:44Z","snapshot_observed_at":"2026-08-07T12:26:45.579095Z","submitted_at":"2025-05-30T05:21:44Z","title":"Unleashing High-Quality Image Generation in Diffusion Sampling Using Second-Order Levenberg-Marquardt-Langevin","version":1},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-07T12:35:39.048047Z"},"links":{"cited_paper":"/paper/2401.14069","citing_paper":"/paper/2505.24222"},"observation_digest":"sha256:146d1bfabc40fb4d77bafb1fc2c8bcd3c87b89c66a7605151b975b760b6cebdf","observation_id":"ae254d3c-08af-44a4-8349-262f029101e0","resolution":{"observed_at":"2026-08-07T12:35:39.048047Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.14069","last_updated":"2024-01-25T10:44:50Z","snapshot_observed_at":"2026-08-03T15:47:58.048354Z","submitted_at":"2024-01-25T10:44:50Z","title":"Neural Sinkhorn Gradient Flow","version":1},"cited_work":{"arxiv_id":"2401.14069","doi":null,"metadata_source":"pith","pith_arxiv_id":"2401.14069","snapshot_observed_at":"2026-08-07T10:54:50.779104Z","title":"Neural Sinkhorn Gradient Flow","venue":"cs.LG","work_id":"46732978-7d6c-4923-b551-dd531c0103ce","year":2024},"citing_paper":{"arxiv_id":"2506.03979","last_updated":"2025-06-05T04:27:46Z","snapshot_observed_at":"2026-08-08T12:18:48.758557Z","submitted_at":"2025-06-04T14:09:25Z","title":"Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach","version":2},"reference_index":222,"source":"pdf_text","source_observed_at":"2026-08-07T10:54:50.434558Z"},"links":{"cited_paper":"/paper/2401.14069","citing_paper":"/paper/2506.03979"},"observation_digest":"sha256:5efe7fcefca78625fac438e75ec0200c413ce73e0bd43c78ed14e5e077d40c81","observation_id":"d2295ddb-5300-401a-a1a2-09113616b72e","resolution":{"observed_at":"2026-08-07T10:54:50.783171Z","resolver_source":"local_arxiv","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/2401.14069/citation-record","integrity":"/paper/2401.14069/integrity","json":"/paper/2401.14069/citation-record.json","paper":"/paper/2401.14069"},"outbound":[],"paper":{"arxiv_id":"2401.14069","last_updated":"2024-01-25T10:44:50Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-03T15:47:58.048354Z","submitted_at":"2024-01-25T10:44:50Z","title":"Neural Sinkhorn Gradient Flow"},"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:2401.14069."}