{"as_of":"2026-08-20T09:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9b3e47bacadf44e0f9e2ac566cfa28cb167ea62863f7d2ae9c55844a8a38ddc9","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":"2026-08-20T06:33:59.587034+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":"2026-08-04T22:55:33.972852Z","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":"2026-08-04T22:55:34.287028Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2206.09166","last_updated":"2024-03-09T18:32:48Z","snapshot_observed_at":"2026-08-18T20:25:05.657258Z","submitted_at":"2022-06-18T10:17:15Z","title":"NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search","version":2},"cited_work":{"arxiv_id":"2206.09166","doi":null,"metadata_source":"pith","pith_arxiv_id":"2206.09166","snapshot_observed_at":"2026-08-04T22:55:34.287028Z","title":"NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search","venue":"cs.LG","work_id":"8ff4bfa8-6964-4e21-a6e8-e3eb95f31d3f","year":2022},"citing_paper":{"arxiv_id":"2608.01684","last_updated":"2026-08-03T04:18:31Z","snapshot_observed_at":"2026-08-17T14:05:08.138252Z","submitted_at":"2026-08-03T04:18:31Z","title":"GABench: A Comprehensive Benchmark for Evaluating LLM Agents on Graph Analysis Tasks","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-04T22:55:33.972852Z"},"links":{"cited_paper":"/paper/2206.09166","citing_paper":"/paper/2608.01684"},"observation_digest":"sha256:7a5a7c075e1b1b837e4107ab3e0f92e154f245d00d31df80aac82f518109be96","observation_id":"8b7636d1-0778-4898-bcce-517c4d2aa8c0","resolution":{"observed_at":"2026-08-04T22:55:34.291947Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2206.09166/citation-record","integrity":"/paper/2206.09166/integrity","json":"/paper/2206.09166/citation-record.json","paper":"/paper/2206.09166"},"outbound":[],"paper":{"arxiv_id":"2206.09166","last_updated":"2024-03-09T18:32:48Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-18T20:25:05.657258Z","submitted_at":"2022-06-18T10:17:15Z","title":"NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search"},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2206.09166."}