{"as_of":"2026-08-19T10:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:dfb22ca4033eba9231f5d0ac9d278c84a8fb561e15627c4b661ddc6398974d8f","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T12:12:36.275247Z","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":"2026-08-06T19:31:45.823304Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2212.03475","last_updated":"2023-04-24T15:38:27Z","snapshot_observed_at":"2026-08-16T16:10:25.795417Z","submitted_at":"2022-12-07T06:14:14Z","title":"PyGFI: Analyzing and Enhancing Robustness of Graph Neural Networks Against Hardware Errors","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.03475","snapshot_observed_at":"2026-08-16T12:12:36.275247Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.13786","last_updated":"2025-04-18T16:38:33Z","snapshot_observed_at":"2026-08-19T08:33:46.101644Z","submitted_at":"2025-04-18T16:38:33Z","title":"On the Relationship Between Robustness and Expressivity of Graph Neural Networks","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-16T12:12:36.275247Z"},"links":{"cited_paper":"/paper/2212.03475","citing_paper":"/paper/2504.13786"},"observation_digest":"sha256:dee10a5b46c9c2f62d9904222c791d744d927ae11799f2fb13231d2a8b4a7d9b","observation_id":"00477fe7-477e-44f1-9a38-d1c3232085db","resolution":{"observed_at":"2026-08-16T12:12:36.275247Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.03475","last_updated":"2023-04-24T15:38:27Z","snapshot_observed_at":"2026-08-16T16:10:25.795417Z","submitted_at":"2022-12-07T06:14:14Z","title":"PyGFI: Analyzing and Enhancing Robustness of Graph Neural Networks Against Hardware Errors","version":2},"cited_work":{"arxiv_id":"2212.03475","doi":null,"metadata_source":"pith","pith_arxiv_id":"2212.03475","snapshot_observed_at":"2026-08-06T19:31:45.823304Z","title":"PyGFI: Analyzing and Enhancing Robustness of Graph Neural Networks Against Hardware Errors","venue":"cs.LG","work_id":"cdc6e91c-3c1e-4d3e-8262-54c38c0c78c3","year":2022},"citing_paper":{"arxiv_id":"2507.05531","last_updated":"2025-07-07T23:06:29Z","snapshot_observed_at":"2026-08-06T19:21:51.370610Z","submitted_at":"2025-07-07T23:06:29Z","title":"Bit-Flip Fault Attack: Crushing Graph Neural Networks via Gradual Bit Search","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T19:31:45.338741Z"},"links":{"cited_paper":"/paper/2212.03475","citing_paper":"/paper/2507.05531"},"observation_digest":"sha256:16a79c1dd6eb4bad36f425450b36c5392bab0a32b1f78a12323c3eeb5f385068","observation_id":"c31034cd-d812-4017-8563-9a62fc762687","resolution":{"observed_at":"2026-08-06T19:31:45.830509Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.03475","last_updated":"2023-04-24T15:38:27Z","snapshot_observed_at":"2026-08-16T16:10:25.795417Z","submitted_at":"2022-12-07T06:14:14Z","title":"PyGFI: Analyzing and Enhancing Robustness of Graph Neural Networks Against Hardware Errors","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.03475","snapshot_observed_at":"2026-08-15T18:14:08.598388Z","title":"Pygfi: Analyzing and enhancing robustness of graph neural networks against hardware errors,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.18804","last_updated":"2025-07-24T21:03:44Z","snapshot_observed_at":"2026-08-18T21:01:14.760036Z","submitted_at":"2025-07-24T21:03:44Z","title":"Ralts: Robust Aggregation for Enhancing Graph Neural Network Resilience on Bit-flip Errors","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T18:14:08.598388Z"},"links":{"cited_paper":"/paper/2212.03475","citing_paper":"/paper/2507.18804"},"observation_digest":"sha256:252dd66c46de579dbcfddf2f3d83f88eb92488c45300e310769ab79bd3555930","observation_id":"4046f009-62c7-4916-8982-a79f970c5248","resolution":{"observed_at":"2026-08-15T18:14:08.598388Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2212.03475/citation-record","integrity":"/paper/2212.03475/integrity","json":"/paper/2212.03475/citation-record.json","paper":"/paper/2212.03475"},"outbound":[],"paper":{"arxiv_id":"2212.03475","last_updated":"2023-04-24T15:38:27Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T16:10:25.795417Z","submitted_at":"2022-12-07T06:14:14Z","title":"PyGFI: Analyzing and Enhancing Robustness of Graph Neural Networks Against Hardware Errors"},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2212.03475."}