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Tau aggregate replication occurs at the pre-synapse of cultured human neurons and increases with application of TNFa
Tau aggregation at synapses is a key process driving Alzheimer's disease but the mechanism(s) that cause this have not been established. We used a model system of forward-programming induced glutamatergic neurons (iNeurons) with three independent cell lines treated with TNFa. Using aggregate-specific SIMOA, STED microscopy, and SynPull to detect nanoscopic tau aggregates in bulk samples and at individual synapses, we found that TNFa-driven tau aggregation occurs preferentially at the...
On the Collapse of Generative Paths: A Criterion and Correction for Diffusion Steering
arXiv:2512.10339v2 Announce Type: replace Abstract: Inference-time steering adapts pretrained diffusion and flow models to new tasks without retraining, often utilizing ratio-of-densities constructions that reweight time-indexed marginals with fixed exponents. We identify Marginal Path Collapse, a failure mode in which the intermediate density defined by such compositions becomes non-normalizable despite valid endpoints. This collapse can arise when composing heterogeneous experts trained...
GPT-Micro: A large language paradigm for accelerated, inexpensive, and thermodynamics-consistent discovery of constitutive models in manufacturing
arXiv:2606.08238v1 Announce Type: new Abstract: Constitutive modeling of the relationship between process-imposed material states and fundamental material properties is critical to control of material microstructure in manufacturing processes. The limited accuracy resulting from the typical reliance on fallible human expertise and intuition for postulation and revision of the models functional form results in incremental and time consuming model discovery. Conventional Machine Learning (ML)...
CoEval: Ranking Language Models for Custom Tasks Without Labeled Data or Trustworthy Benchmarks
Announce Type: replace Abstract: Selecting a pretrained language model, or evaluating a fine-tuned one, for a specific application is a high-value decision, yet the public benchmarks used to make it are poorly suited: a generic benchmark need not reflect a particular sub-domain or sub-task, and its scores are suspect when its items have leaked into pretraining and are recalled rather than solved. We present CoEval, an open framework that supplies a trustworthy, task-specific signal through...