{"as_of":"2026-08-16T21:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:889badbcbf76ddefc862d0b9a92fceeabe9c63eb57f562ba887b46fb669f507a","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":"2026-08-16T06:30:59.297886+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":"2026-08-14T15:01:32.282518Z","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":"2026-08-07T14:06:24.440624Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2401.16275","last_updated":"2024-01-29T16:26:30Z","snapshot_observed_at":"2026-08-16T14:23:35.608713Z","submitted_at":"2024-01-29T16:26:30Z","title":"Graph Neural Networks: Theory for Estimation with Application on Network Heterogeneity","version":1},"cited_work":{"arxiv_id":"2401.16275","doi":null,"metadata_source":"pith","pith_arxiv_id":"2401.16275","snapshot_observed_at":"2026-08-07T14:06:24.440624Z","title":"Graph Neural Networks: Theory for Estimation with Application on Network Heterogeneity","venue":"econ.EM","work_id":"da9b8e8c-7696-4713-86d3-6b8e1c245c0a","year":2024},"citing_paper":{"arxiv_id":"2505.20130","last_updated":"2025-08-28T08:49:03Z","snapshot_observed_at":"2026-08-13T16:46:54.870910Z","submitted_at":"2025-05-26T15:29:01Z","title":"Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach","version":3},"reference_index":100,"source":"arxiv_source","source_observed_at":"2026-08-07T14:06:21.912613Z"},"links":{"cited_paper":"/paper/2401.16275","citing_paper":"/paper/2505.20130"},"observation_digest":"sha256:65cef46cbe6c022fb01ec74f297d2483a4dc0a4d251358a5893eafaa6e9a0e53","observation_id":"b000edb9-d301-4295-8ae1-d5d93011c8c4","resolution":{"observed_at":"2026-08-07T14:06:24.492146Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.16275","last_updated":"2024-01-29T16:26:30Z","snapshot_observed_at":"2026-08-16T14:23:35.608713Z","submitted_at":"2024-01-29T16:26:30Z","title":"Graph Neural Networks: Theory for Estimation with Application on Network Heterogeneity","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.16275","snapshot_observed_at":"2026-08-14T15:01:32.282518Z","title":"arXiv preprint arXiv:2401.16275 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.13274","last_updated":"2026-08-13T14:10:55Z","snapshot_observed_at":"2026-08-16T21:11:50.688362Z","submitted_at":"2026-08-13T14:10:55Z","title":"Causal Mediation Analysis for Network Data with Graph Neural Network","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-14T15:01:32.282518Z"},"links":{"cited_paper":"/paper/2401.16275","citing_paper":"/paper/2608.13274"},"observation_digest":"sha256:378b53770664ab1c2f5197df1ae3268c65e6d88cdff961a64bcba29650a9f182","observation_id":"e6dd9c53-fc84-4468-9a55-94411dd30ca8","resolution":{"observed_at":"2026-08-14T15:01:32.282518Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2401.16275/citation-record","integrity":"/paper/2401.16275/integrity","json":"/paper/2401.16275/citation-record.json","paper":"/paper/2401.16275"},"outbound":[],"paper":{"arxiv_id":"2401.16275","last_updated":"2024-01-29T16:26:30Z","latest_version":1,"primary_category":"econ.EM","snapshot_observed_at":"2026-08-16T14:23:35.608713Z","submitted_at":"2024-01-29T16:26:30Z","title":"Graph Neural Networks: Theory for Estimation with Application on Network Heterogeneity"},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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:2401.16275."}