{"as_of":"2026-08-06T19:28:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:78a2bf6ede79099fac1ea0d5ed0647b922f0eeff409120a8d22a872c38a96578","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":"2026-08-06T06:34:29.942622+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":"2026-08-02T15:12:07.244761Z","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":"2026-05-20T13:08:17.903861Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.03282","last_updated":"2024-10-04T09:54:11Z","snapshot_observed_at":"2026-07-06T19:27:33.934338Z","submitted_at":"2024-10-04T09:54:11Z","title":"Neural Sampling from Boltzmann Densities: Fisher-Rao Curves in the Wasserstein Geometry","version":1},"cited_work":{"arxiv_id":"2410.03282","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.03282","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Chemseddine, C","venue":null,"work_id":"a98def16-973b-409a-b4f8-585a4d8f545f","year":null},"citing_paper":{"arxiv_id":"2605.00337","last_updated":"2026-07-22T03:55:11Z","snapshot_observed_at":"2026-08-02T15:12:04.235641Z","submitted_at":"2026-05-01T01:35:48Z","title":"FES-FM: Free Energy Surface Sampling via Reduced Flow Matching","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-09T20:27:10.841653Z"},"links":{"cited_paper":"/paper/2410.03282","citing_paper":"/paper/2605.00337"},"observation_digest":"sha256:72907ef0adc0da40dd99a30cec0a46f14e5fd144b6359c3b49c6f8792e4a3460","observation_id":"f3d5aa79-7763-423b-81f9-7d9618f2e6aa","resolution":{"observed_at":"2026-05-11T15:16:04.983347Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.03282","last_updated":"2024-10-04T09:54:11Z","snapshot_observed_at":"2026-07-06T19:27:33.934338Z","submitted_at":"2024-10-04T09:54:11Z","title":"Neural Sampling from Boltzmann Densities: Fisher-Rao Curves in the Wasserstein Geometry","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.03282","snapshot_observed_at":"2026-08-02T15:12:07.244761Z","title":"arXiv preprint arXiv:2410.03282","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2605.00337","last_updated":"2026-07-22T03:55:11Z","snapshot_observed_at":"2026-08-02T15:12:04.235641Z","submitted_at":"2026-05-01T01:35:48Z","title":"FES-FM: Free Energy Surface Sampling via Reduced Flow Matching","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-02T15:12:07.244761Z"},"links":{"cited_paper":"/paper/2410.03282","citing_paper":"/paper/2605.00337"},"observation_digest":"sha256:144146bc99ff52e0cef5f63d993b3e391d756012c373b4d68fbdc15fae7d0cd7","observation_id":"b919926a-9b1e-46ec-80b1-891dd278b367","resolution":{"observed_at":"2026-08-02T15:12:07.244761Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.03282","last_updated":"2024-10-04T09:54:11Z","snapshot_observed_at":"2026-07-06T19:27:33.934338Z","submitted_at":"2024-10-04T09:54:11Z","title":"Neural Sampling from Boltzmann Densities: Fisher-Rao Curves in the Wasserstein Geometry","version":1},"cited_work":{"arxiv_id":"2410.03282","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.03282","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Chemseddine, C","venue":null,"work_id":"a98def16-973b-409a-b4f8-585a4d8f545f","year":null},"citing_paper":{"arxiv_id":"2605.17808","last_updated":"2026-05-18T03:32:22Z","snapshot_observed_at":"2026-08-01T18:06:53.100852Z","submitted_at":"2026-05-18T03:32:22Z","title":"A Unified Framework for Data-Free One-Step Sampling via Wasserstein Gradient Flows","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-20T13:05:17.641751Z"},"links":{"cited_paper":"/paper/2410.03282","citing_paper":"/paper/2605.17808"},"observation_digest":"sha256:f770413ac8ad53d8031491b20b7e5df65e9dc2708e64618b1409dbd2c4000686","observation_id":"259ef4b7-4455-4cf3-a417-ce7a3f690ae7","resolution":{"observed_at":"2026-05-20T13:08:17.905991Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2410.03282/citation-record","integrity":"/paper/2410.03282/integrity","json":"/paper/2410.03282/citation-record.json","paper":"/paper/2410.03282"},"outbound":[],"paper":{"arxiv_id":"2410.03282","last_updated":"2024-10-04T09:54:11Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T19:27:33.934338Z","submitted_at":"2024-10-04T09:54:11Z","title":"Neural Sampling from Boltzmann Densities: Fisher-Rao Curves in the Wasserstein Geometry"},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.03282."}