{"as_of":"2026-08-16T05:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5d8e27d7e5f1464e0687dbd10d771738a8424f34fd1f8a31ca441b2d54aaac6d","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-26T00:46:43.045052Z","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":"2026-07-04T16:19:57.659001Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2311.03260","last_updated":"2024-03-06T01:28:16Z","snapshot_observed_at":"2026-08-15T18:41:10.347688Z","submitted_at":"2023-11-06T16:47:17Z","title":"From Coupled Oscillators to Graph Neural Networks: Reducing Over-smoothing via a Kuramoto Model-based Approach","version":2},"cited_work":{"arxiv_id":"2311.03260","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2311.03260","snapshot_observed_at":"2026-07-04T16:19:57.659001Z","title":"Ido Nitsan, Stavit Drori, Yair E","venue":null,"work_id":"048e55d2-7b2c-4cea-a0c8-b4e600f577fa","year":2023},"citing_paper":{"arxiv_id":"2605.20441","last_updated":"2026-05-19T19:48:40Z","snapshot_observed_at":"2026-07-06T23:31:03.878152Z","submitted_at":"2026-05-19T19:48:40Z","title":"Weight Decay Regimes in Grokking Transformers: Cheap Online Diagnostics","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-21T07:30:07.287938Z"},"links":{"cited_paper":"/paper/2311.03260","citing_paper":"/paper/2605.20441"},"observation_digest":"sha256:026519ba17483780cbfee45641ab3f9b761cfb8e758f678c228df2ae33f5f030","observation_id":"df6ef2ec-3b39-472e-b453-38c2ca8d41a9","resolution":{"observed_at":"2026-05-21T07:34:02.958448Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.03260","last_updated":"2024-03-06T01:28:16Z","snapshot_observed_at":"2026-08-15T18:41:10.347688Z","submitted_at":"2023-11-06T16:47:17Z","title":"From Coupled Oscillators to Graph Neural Networks: Reducing Over-smoothing via a Kuramoto Model-based Approach","version":2},"cited_work":{"arxiv_id":"2311.03260","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2311.03260","snapshot_observed_at":"2026-07-04T16:19:57.659001Z","title":"Ido Nitsan, Stavit Drori, Yair E","venue":null,"work_id":"048e55d2-7b2c-4cea-a0c8-b4e600f577fa","year":2023},"citing_paper":{"arxiv_id":"2606.24958","last_updated":"2026-06-23T08:53:36Z","snapshot_observed_at":"2026-08-08T11:08:29.995386Z","submitted_at":"2026-06-23T08:53:36Z","title":"Swarm-Inspired Generation of Collective Behaviors in Graph Dynamical Systems","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-26T00:46:43.045052Z"},"links":{"cited_paper":"/paper/2311.03260","citing_paper":"/paper/2606.24958"},"observation_digest":"sha256:3a6e325e1ce05a6c246a4ebd7627b981b6aa5199bb411e3ea0b3bf6f3100ddba","observation_id":"bc5aeeb6-d881-4812-be1f-d86f4e9b8f3f","resolution":{"observed_at":"2026-07-04T16:19:57.660286Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2311.03260/citation-record","integrity":"/paper/2311.03260/integrity","json":"/paper/2311.03260/citation-record.json","paper":"/paper/2311.03260"},"outbound":[],"paper":{"arxiv_id":"2311.03260","last_updated":"2024-03-06T01:28:16Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-15T18:41:10.347688Z","submitted_at":"2023-11-06T16:47:17Z","title":"From Coupled Oscillators to Graph Neural Networks: Reducing Over-smoothing via a Kuramoto Model-based Approach"},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.03260."}