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cs.LG2026
Geometric Relevance Is Not Sufficient: Evaluating Focused Post-Training Supervision in Diffusion Docking
Michael Brown, Maryam Rahimimovassagh, Mehdi Yazdani-Jahromi +2
Diffusion-based molecular docking requires learning a corrective score field across a broad corruption distribution, yet individual pose errors can differ substantially in their st…
cs.LG2026
One Mistake, Three Layers: Persistence Rules Under Depth Correlation
Maryam Rahimimovassagh, Michael Brown, Sanjeda Sara Jennifer +1
Probing frozen representations layer by layer is now standard practice, but reporting when a signal first becomes decodable requires a rule for reading a depth curve, and the obvio…
cs.LG2026
Right Knowledge, Wrong Answer: Characterizing Parametric Temporal Conflict in Open-Weight Language Models
Elias Hossain, Sourav Saha, Tasfia Nuzhat Ornee +5
Language models may encode both outdated facts and their newer replacements. We introduce Parametric Temporal Conflict (PTC), where the newer fact is present and recoverable, but t…