Latent Fact-Checking: Detecting Misinformation through Activation Engineering
arXiv 2608.06417•2dbd9f2bbfff7bff29ca3d8f8085d5f4060659a56c58cf355ab9dedb1a6941b0
activation-engineeringadversarial-robustnessartificial-intelligencecausal-inferencedeep-learningelectronic-health-recordsgraph-neural-networksllm-safetymachine-learningmisinformation-detectionmodel-interpretabilityresearchsmartnic
Paper metadata
- arXiv ID
- 2608.06417
- Version
- Not specified by this published record
- Category
- Computer Science — Machine Learning (cs.LG)
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Evidence and limitations
- Source ID
- arxiv_cs_lg
- Record identifier
- 2dbd9f2bbfff7bff29ca3d8f8085d5f4060659a56c58cf355ab9dedb1a6941b0
- Enrichment time
- 2026-08-10T08:52:05Z
- AI-assisted enrichment
- Yes
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