{"as_of":"2026-08-07T21:20:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:69cc1eea2973aceab4900cbe743ece7a9893d38376ad8ffd972cb667ec551362","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T18:37:52.194633Z","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":"2026-07-02T15:17:07.331556Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.01661","last_updated":"2025-08-22T08:40:58Z","snapshot_observed_at":"2026-07-06T18:24:38.958815Z","submitted_at":"2024-06-03T17:55:02Z","title":"A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.01661","snapshot_observed_at":"2026-08-07T18:37:52.194633Z","title":"A diffusion model framework for unsupervised neural combinatorial optimization","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.10330","last_updated":"2026-05-28T13:16:50Z","snapshot_observed_at":"2026-08-07T18:28:13.607991Z","submitted_at":"2025-02-14T17:43:08Z","title":"Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement","version":4},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T18:37:52.194633Z"},"links":{"cited_paper":"/paper/2406.01661","citing_paper":"/paper/2502.10330"},"observation_digest":"sha256:e57fd159214287a254263195fa31159e1186e825a314063cfc5ae8c12b9a561e","observation_id":"a02435d1-a156-4b9c-bd55-13fe602a7359","resolution":{"observed_at":"2026-08-07T18:37:52.194633Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01661","last_updated":"2025-08-22T08:40:58Z","snapshot_observed_at":"2026-07-06T18:24:38.958815Z","submitted_at":"2024-06-03T17:55:02Z","title":"A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.01661","snapshot_observed_at":"2026-08-06T17:53:34.488689Z","title":"A diffusion model framework for unsupervised neural combi- natorial optimization","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.09733","last_updated":"2025-07-13T18:12:34Z","snapshot_observed_at":"2026-08-06T17:46:36.098595Z","submitted_at":"2025-07-13T18:12:34Z","title":"Universal Physics Simulation: A Foundational Diffusion Approach","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T17:53:34.488689Z"},"links":{"cited_paper":"/paper/2406.01661","citing_paper":"/paper/2507.09733"},"observation_digest":"sha256:779699991d20cfe3dc66be6dd3bbee7242ae3141a839ae67fd898c5b79268fcf","observation_id":"44e4a4ac-c3e2-4b44-84f7-5ce64b21ed3d","resolution":{"observed_at":"2026-08-06T17:53:34.488689Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01661","last_updated":"2025-08-22T08:40:58Z","snapshot_observed_at":"2026-07-06T18:24:38.958815Z","submitted_at":"2024-06-03T17:55:02Z","title":"A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization","version":3},"cited_work":{"arxiv_id":"2406.01661","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.01661","snapshot_observed_at":"2026-07-02T15:17:07.331556Z","title":"A diffusion model framework for unsupervised neural combinatorial optimization","venue":null,"work_id":"f9b7b273-ba61-4135-b70c-c9d16a31f4d3","year":2024},"citing_paper":{"arxiv_id":"2510.21697","last_updated":"2026-04-14T14:03:03Z","snapshot_observed_at":"2026-08-07T11:53:12.350113Z","submitted_at":"2025-10-24T17:57:31Z","title":"Visual Diffusion Models are Geometric Solvers","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-18T04:16:33.085840Z"},"links":{"cited_paper":"/paper/2406.01661","citing_paper":"/paper/2510.21697"},"observation_digest":"sha256:ad49e7bc25ac6f39505110266f99375c26a41649642880e40273c50ed7c7d67c","observation_id":"914f3b86-85df-4805-a5b6-5d2b68c19e09","resolution":{"observed_at":"2026-05-18T04:20:52.714383Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01661","last_updated":"2025-08-22T08:40:58Z","snapshot_observed_at":"2026-07-06T18:24:38.958815Z","submitted_at":"2024-06-03T17:55:02Z","title":"A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization","version":3},"cited_work":{"arxiv_id":"2406.01661","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.01661","snapshot_observed_at":"2026-07-02T15:17:07.331556Z","title":"A diffusion model framework for unsupervised neural combinatorial optimization","venue":null,"work_id":"f9b7b273-ba61-4135-b70c-c9d16a31f4d3","year":2024},"citing_paper":{"arxiv_id":"2607.01185","last_updated":"2026-07-01T17:17:55Z","snapshot_observed_at":"2026-08-07T15:00:43.360697Z","submitted_at":"2026-07-01T17:17:55Z","title":"Neural Certificate Pricing for Combinatorial Optimization Problems","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-07-02T15:11:43.912523Z"},"links":{"cited_paper":"/paper/2406.01661","citing_paper":"/paper/2607.01185"},"observation_digest":"sha256:6760c3faa46ca4d502e6f833a84f48bcb19f653080e143fc5eebc4f68672f6be","observation_id":"0748b104-c949-4210-a0b8-df4c380044a2","resolution":{"observed_at":"2026-07-02T15:17:07.333030Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2406.01661/citation-record","integrity":"/paper/2406.01661/integrity","json":"/paper/2406.01661/citation-record.json","paper":"/paper/2406.01661"},"outbound":[],"paper":{"arxiv_id":"2406.01661","last_updated":"2025-08-22T08:40:58Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T18:24:38.958815Z","submitted_at":"2024-06-03T17:55:02Z","title":"A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.01661."}