Author

Qianli Shen

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Preprint Aug 2026

GradCuit: Credit-Assigned Gradient Flow Enables Robust and Interpretable Test-Time Latent Reasoning

GradCuit (gradient through circuit), which inserts optimizable latent states at a selected Transformer layer between the hidden representations of the prompt and the generated continuation, opens a new axis of robust and interpretable test-time scaling, where LLMs adapt how they reason rather than merely regenerate, sample, or rerank outputs.

Zhaoxin Yu, Qianli Shen, Hengli Li et al. · 0 citations

Preprint Aug 2026

Beyond Solvability: Task Learnability as a Static Prior for LLM RL Post-Training

TrajVal, a lightweight probe-based estimator that approximates per-task learnability from a short probe run and two endpoint evaluations, is proposed and it is found that learnability is reproducible across independently sampled training contexts and predictive of downstream utility.

Ting Zhou, Zhenqing Ling, Daoyuan Chen et al. · 0 citations