{"as_of":"2026-08-07T19:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:31b3fe3789c6ab7860f13acf27602185e2400281ec663fa833a006e027ad388d","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T16:00:51.639319Z","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":"2026-05-23T16:38:11.156068Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2310.02156","last_updated":"2024-03-26T17:36:54Z","snapshot_observed_at":"2026-07-06T16:27:11.151651Z","submitted_at":"2023-10-03T15:43:59Z","title":"Probabilistically Rewired Message-Passing Neural Networks","version":4},"cited_work":{"arxiv_id":"2310.02156","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.02156","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Probabilistically rewired message- passing neural networks","venue":null,"work_id":"b17315e1-cd44-4a6c-96d7-270f0b2bc26f","year":2023},"citing_paper":{"arxiv_id":"2411.17429","last_updated":"2026-05-01T11:43:42Z","snapshot_observed_at":"2026-07-06T19:57:18.481261Z","submitted_at":"2024-11-26T13:38:12Z","title":"Graph Rewiring in GNNs to Mitigate Over-Squashing and Over-Smoothing: A Survey","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-23T16:38:04.382748Z"},"links":{"cited_paper":"/paper/2310.02156","citing_paper":"/paper/2411.17429"},"observation_digest":"sha256:b16f1681f4b0038229d530de2768b0ef91a128ede397804c9ce71de94d2ecd22","observation_id":"8618f820-46c1-4e41-8942-b130eb0a4031","resolution":{"observed_at":"2026-05-23T16:38:11.159609Z","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":"2310.02156","last_updated":"2024-03-26T17:36:54Z","snapshot_observed_at":"2026-07-06T16:27:11.151651Z","submitted_at":"2023-10-03T15:43:59Z","title":"Probabilistically Rewired Message-Passing Neural Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.02156","snapshot_observed_at":"2026-08-05T16:00:51.639319Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-05T16:00:50.489252Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.639319Z"},"links":{"cited_paper":"/paper/2310.02156","citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:61537ce71b4ea6c90feb5dccbf3c5b9b3545fc3241ee15ff1014b5f8a0583b9e","observation_id":"d3658a54-31ef-4ef3-8a1c-184375a5abb1","resolution":{"observed_at":"2026-08-05T16:00:51.639319Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.02156","last_updated":"2024-03-26T17:36:54Z","snapshot_observed_at":"2026-07-06T16:27:11.151651Z","submitted_at":"2023-10-03T15:43:59Z","title":"Probabilistically Rewired Message-Passing Neural Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.02156","snapshot_observed_at":"2026-08-04T23:12:22.873649Z","title":"Probabilistically rewired message-passing neural networks,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.06777","last_updated":"2025-09-08T15:03:05Z","snapshot_observed_at":"2026-08-04T23:12:20.493932Z","submitted_at":"2025-09-08T15:03:05Z","title":"Asynchronous Message Passing for Addressing Oversquashing in Graph Neural Networks","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-04T23:12:22.873649Z"},"links":{"cited_paper":"/paper/2310.02156","citing_paper":"/paper/2509.06777"},"observation_digest":"sha256:8ceb74d164cf2f22b444a538b058d6f59d9ba0d540bfc08ef381d52cced7313c","observation_id":"427649f7-3708-45e3-b5b8-86ab3d8690da","resolution":{"observed_at":"2026-08-04T23:12:22.873649Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.02156","last_updated":"2024-03-26T17:36:54Z","snapshot_observed_at":"2026-07-06T16:27:11.151651Z","submitted_at":"2023-10-03T15:43:59Z","title":"Probabilistically Rewired Message-Passing Neural Networks","version":4},"cited_work":{"arxiv_id":"2310.02156","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.02156","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Probabilistically rewired message- passing neural networks","venue":null,"work_id":"b17315e1-cd44-4a6c-96d7-270f0b2bc26f","year":2023},"citing_paper":{"arxiv_id":"2605.00951","last_updated":"2026-05-01T11:16:19Z","snapshot_observed_at":"2026-07-06T23:14:15.780028Z","submitted_at":"2026-05-01T11:16:19Z","title":"Graph Rewiring in GNNs to Mitigate Over-Squashing and Over-Smoothing: A Survey","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-09T19:25:12.739847Z"},"links":{"cited_paper":"/paper/2310.02156","citing_paper":"/paper/2605.00951"},"observation_digest":"sha256:5f6a1d487e4bcd4aa4efa45afc8d109bbf71cf292eee99215066150cd47c0d95","observation_id":"48eba957-d6ad-4cb9-8d5a-47137d94b96f","resolution":{"observed_at":"2026-05-11T15:41:55.675778Z","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":"2310.02156","last_updated":"2024-03-26T17:36:54Z","snapshot_observed_at":"2026-07-06T16:27:11.151651Z","submitted_at":"2023-10-03T15:43:59Z","title":"Probabilistically Rewired Message-Passing Neural Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.02156","snapshot_observed_at":"2026-08-01T07:18:40.873867Z","title":null,"venue":null,"work_id":null,"year":1909},"citing_paper":{"arxiv_id":"2607.27479","last_updated":"2026-07-29T21:42:02Z","snapshot_observed_at":"2026-08-07T05:27:53.932242Z","submitted_at":"2026-07-29T21:42:02Z","title":"Schreier-Coset Graph Rewiring","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-01T07:18:40.873867Z"},"links":{"cited_paper":"/paper/2310.02156","citing_paper":"/paper/2607.27479"},"observation_digest":"sha256:4d0d1bb859f205d2f1ae66bf3f2a5ceacc08142bffec6040ca6b140f3d96a797","observation_id":"a62e182a-9ee8-48b4-91ff-2b84d53b32c7","resolution":{"observed_at":"2026-08-01T07:18:40.873867Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2310.02156/citation-record","integrity":"/paper/2310.02156/integrity","json":"/paper/2310.02156/citation-record.json","paper":"/paper/2310.02156"},"outbound":[],"paper":{"arxiv_id":"2310.02156","last_updated":"2024-03-26T17:36:54Z","latest_version":4,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T16:27:11.151651Z","submitted_at":"2023-10-03T15:43:59Z","title":"Probabilistically Rewired Message-Passing Neural Networks"},"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 5 inbound Pith citation observations for arXiv:2310.02156."}