Reasoning-Token Spikes Under Prompted Untruthful Responding in Large Language Models

7 Oct 2026Reported by arXiv21

Reasoning-Token Spikes Under Prompted Untruthful Responding in Large Language Models. The story centres on Reasoning Models. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.

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Reasoning Modelstopic

Reported by arXiv

First seen 7 oct 2026

arXivReasoning-Token Spikes Under Prompted Untruthful Responding in Large Language Models7 Oct 2026Maverick Morales

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Reasoning-Token Spikes Under Prompted Untruthful Responding in Large Language Models

Companies, models and people in this story

Reported by arXiv

GeoReader: Learning Latent Geometry for Spatial Reasoning in Vision-Language Models

HARISSA: Inference-Time Self-Checks for Efficient and Safe Local Language Model Deployment

SEABench: Benchmarking Endogenous Misalignment In Self-Evolving Agents

TradeWar: A Benchmark for Execution-Grounded Trade Negotiation with Adaptive LLM Agents

Companies, models and people in this story

Reported by arXiv

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