{"as_of":"2026-08-09T02:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:09834f09d1a2e34c5b2a468ea7f8e9f19507025c815b78c48ab4c23bb533e8fb","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":"2026-08-08T12:38:30.304939Z","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":"2026-07-11T00:37:42.486812Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.02239","last_updated":"2025-06-27T07:44:55Z","snapshot_observed_at":"2026-07-06T17:24:53.368337Z","submitted_at":"2024-02-03T19:00:19Z","title":"Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.02239","snapshot_observed_at":"2026-08-08T12:38:30.304939Z","title":"Distributional reduction: Unifying dimensionality reduction and clustering with G romov- W asserstein","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.07510","last_updated":"2025-05-13T14:24:45Z","snapshot_observed_at":"2026-08-08T12:27:10.438251Z","submitted_at":"2025-02-11T12:28:47Z","title":"Joint Metric Space Embedding by Unbalanced OT with Gromov-Wasserstein Marginal Penalization","version":2},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-08T12:38:30.304939Z"},"links":{"cited_paper":"/paper/2402.02239","citing_paper":"/paper/2502.07510"},"observation_digest":"sha256:224973912ea9d221c488a7fdec5256254b972da71d455cb9325388c72df06c75","observation_id":"405aac96-4040-426a-9211-21e69780edf6","resolution":{"observed_at":"2026-08-08T12:38:30.304939Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.02239","last_updated":"2025-06-27T07:44:55Z","snapshot_observed_at":"2026-07-06T17:24:53.368337Z","submitted_at":"2024-02-03T19:00:19Z","title":"Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.02239","snapshot_observed_at":"2026-08-07T11:35:42.642773Z","title":"Van Assel, C","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.02203","last_updated":"2025-06-02T19:43:40Z","snapshot_observed_at":"2026-08-07T11:26:20.584154Z","submitted_at":"2025-06-02T19:43:40Z","title":"Constrained Sliced Wasserstein Embedding","version":1},"reference_index":103,"source":"pdf_text","source_observed_at":"2026-08-07T11:35:42.642773Z"},"links":{"cited_paper":"/paper/2402.02239","citing_paper":"/paper/2506.02203"},"observation_digest":"sha256:aedb66ab4fa71d0380ddca9ce536016da4fb2b406bf0594354a88c2bfd26063b","observation_id":"7a6b91c2-65d6-4ea9-bfe2-3b1ecb0e39c6","resolution":{"observed_at":"2026-08-07T11:35:42.642773Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.02239","last_updated":"2025-06-27T07:44:55Z","snapshot_observed_at":"2026-07-06T17:24:53.368337Z","submitted_at":"2024-02-03T19:00:19Z","title":"Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein","version":3},"cited_work":{"arxiv_id":"2402.02239","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.02239","snapshot_observed_at":"2026-07-11T00:37:42.486812Z","title":"Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein","venue":"cs.LG","work_id":"22fb9749-3e75-4b52-83c3-3fe8227e2c69","year":2024},"citing_paper":{"arxiv_id":"2607.06646","last_updated":"2026-07-07T15:55:34Z","snapshot_observed_at":"2026-08-05T20:52:42.451878Z","submitted_at":"2026-07-07T15:55:34Z","title":"Diffusion enabled Optimal Transport distances for graph matching","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-11T00:33:04.509520Z"},"links":{"cited_paper":"/paper/2402.02239","citing_paper":"/paper/2607.06646"},"observation_digest":"sha256:d6082d5a2bd1e451bfe5a9da5870599e8a5596cce0e2c869a2170af326f5ff6b","observation_id":"99906418-a311-4c9d-a4e2-2719ac7ac12b","resolution":{"observed_at":"2026-07-11T00:37:42.510712Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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/2402.02239/citation-record","integrity":"/paper/2402.02239/integrity","json":"/paper/2402.02239/citation-record.json","paper":"/paper/2402.02239"},"outbound":[],"paper":{"arxiv_id":"2402.02239","last_updated":"2025-06-27T07:44:55Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T17:24:53.368337Z","submitted_at":"2024-02-03T19:00:19Z","title":"Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein"},"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 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.02239."}