NSF award 2613797 · Kansas State University

CICI: IPAAI: XAI-Driven Data Forensics for Nuclear Edge LLMs: Provenance, Detection, and Recovery

Final report due

30 March 2027

in 163 days · The award ends on 30 November 2026.

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No-cost extension notice20 Nov 2026in 33 days
award ending 2026-11-30 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due30 Mar 2027in 163 days
award ending 2026-11-30 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due30 Mar 2027in 163 days
award ending 2026-11-30 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out30 Mar 2027in 163 days
award ending 2026-11-30 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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So the final report is due by 30 March 2027.

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Award card

Award number: 2613797
Period of support: 1 Nov 2026 – 30 Nov 2026
Amount: $899,868
Awardee: Kansas State University, Manhattan, KS
Program: Cybersecurity Innovation
Directorate: CSE

Abstract

Nuclear reactors supply a large share of reliable electricity, and reactor operators increasingly turn to large language models to help interpret procedures, sensor logs, and alarm messages in real time. Running these models on-site, close to the reactor, keeps sensitive data in-house and speeds decision-making, but it also opens new ways for these systems to fail or be attacked. Poisoned or low-quality training…

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