Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
PyGFI: Analyzing and Enhancing Robustness of Graph Neural Networks Against Hardware Errors
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.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:12:36.275247Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T19:31:45.823304Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 00477fe7-477e-44f1-9a38-d1c3232085db · inbound
On the Relationship Between Robustness and Expressivity of Graph Neural Networks cites this paper.
On the Relationship Between Robustness and Expressivity of Graph Neural Networks PyGFI: Analyzing and Enhancing Robustness of Graph Neural Networks Against Hardware Errors
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:12:36.275247Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c31034cd-d812-4017-8563-9a62fc762687 · inbound
Bit-Flip Fault Attack: Crushing Graph Neural Networks via Gradual Bit Search cites this paper.
Bit-Flip Fault Attack: Crushing Graph Neural Networks via Gradual Bit Search PyGFI: Analyzing and Enhancing Robustness of Graph Neural Networks Against Hardware Errors
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T19:31:45.830509Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4046f009-62c7-4916-8982-a79f970c5248 · inbound
Ralts: Robust Aggregation for Enhancing Graph Neural Network Resilience on Bit-flip Errors cites this paper.
Ralts: Robust Aggregation for Enhancing Graph Neural Network Resilience on Bit-flip Errors PyGFI: Analyzing and Enhancing Robustness of Graph Neural Networks Against Hardware Errors
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:14:08.598388Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.