Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MPGemmFI: A Fault Injection Technique for Mixed Precision GEMM in ML Applications
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.05782.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-12T22:37:03.025712Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T09:05:58.361893Z
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 8209fca9-08fc-4ccc-9a2f-adb00dac15bb · inbound
Aharanov-Bohm Type Arbitrage and Homological Obstructions in Financial Markets cites this paper.
Aharanov-Bohm Type Arbitrage and Homological Obstructions in Financial Markets MPGemmFI: A Fault Injection Technique for Mixed Precision GEMM in ML Applications
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T22:37:03.025712Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 68b99529-4ddb-497e-a0bb-0c087e2a79b2 · inbound
From Characterization to Microarchitecture: Designing an Elegant and Reliable BFP-Based NPU cites this paper.
From Characterization to Microarchitecture: Designing an Elegant and Reliable BFP-Based NPU MPGemmFI: A Fault Injection Technique for Mixed Precision GEMM in ML Applications
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:05:58.363689Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.