{"as_of":"2026-08-15T06:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:82b764e29a65c0d96774191421307cf97a4b4474eed11a0ad9013b3ccd741ac3","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T05:06:05.604299Z","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":"2026-08-12T05:06:21.059516Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.12539","last_updated":"2024-06-18T12:16:00Z","snapshot_observed_at":"2026-08-14T22:17:27.274919Z","submitted_at":"2024-06-18T12:16:00Z","title":"The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs","version":1},"cited_work":{"arxiv_id":"2406.12539","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.12539","snapshot_observed_at":"2026-08-12T05:06:21.059516Z","title":"The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs","venue":"cs.LG","work_id":"06739df9-5923-44ff-8307-b8a3b5146a49","year":2024},"citing_paper":{"arxiv_id":"2412.00789","last_updated":"2025-06-09T15:05:59Z","snapshot_observed_at":"2026-08-14T11:12:46.245311Z","submitted_at":"2024-12-01T12:23:25Z","title":"A Cognac Shot To Forget Bad Memories: Corrective Unlearning for Graph Neural Networks","version":4},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-12T05:06:05.604299Z"},"links":{"cited_paper":"/paper/2406.12539","citing_paper":"/paper/2412.00789"},"observation_digest":"sha256:f80b557c34cebf7e187c4fa51c4707d06c6181c73b9e489958749941e8b99b65","observation_id":"648a6100-10f3-4b04-aa3c-33aff08ea58f","resolution":{"observed_at":"2026-08-12T05:06:21.064889Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2406.12539/citation-record","integrity":"/paper/2406.12539/integrity","json":"/paper/2406.12539/citation-record.json","paper":"/paper/2406.12539"},"outbound":[],"paper":{"arxiv_id":"2406.12539","last_updated":"2024-06-18T12:16:00Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-14T22:17:27.274919Z","submitted_at":"2024-06-18T12:16:00Z","title":"The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2406.12539."}