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9 storiesInnovation
Preprint proposes physics-guided neural operator for wireless radio maps
A new arXiv preprint introduces PU-HNO, a three-stage model for predicting detailed indoor radio maps from lower-fidelity simulations and scene information. The authors report improvements over several baseline approaches, but the supplied record does not provide numerical results or evidence of real-world deployment.arxiv.orgInnovation
Preprint proposes physics-constrained generative AI for global tropical-cyclone forecasts
An arXiv preprint introduces Tianmu-TC, a generative forecasting framework trained on Western North Pacific data that its authors say improves tropical-cyclone forecasts across global ocean basins while using less computation.arxiv.orgInnovation
Preprint reports LLM scheduler cut data-center energy use 32% and waiting time 30%
An arXiv preprint describes an LLM-based system that predicts job execution time and energy use from source code before allocating GPU resources. Its authors report lower energy consumption and queueing time with an unnamed data center, but the record lacks enough detail to independently assess the result.arxiv.orgInnovation
Study proposes interaction metric for explaining LLM prompt sensitivity
A five-author ICML 2026 paper proposes measuring changes in nonlinear input interactions, not just final answers, when small prompt edits destabilize language models.arxiv.orgInnovation
Preprint introduces a benchmark and replay method for continual reasoning-model training
A new arXiv preprint studies whether reasoning models can learn tasks sequentially without losing ground, and proposes Continual Prompt Replay to close the gap with joint multitask training.arxiv.orgInnovation
Preprint says sequence-wide normalization can bypass a convolutional receptive field
A new arXiv preprint argues that sequence-pooled normalization can provide global context even when a convolutional sequence labeler has a short receptive field. The finding could affect how researchers assess streaming limits, architecture design and attribution results.arxiv.orgInnovation
ArXiv Preprint Reports Related Slow Dynamics in Transformer and Mamba Blocks
A single-author preprint reports that Transformer and Mamba architectures develop similar near-marginal slow-mode dynamics despite using different internal mechanisms. The finding remains unverified beyond the supplied arXiv record.arxiv.orgInnovation
Preprint Reports Off-Manifold Collapse in Guided Protein Language Models
A new arXiv preprint reports that strong inference-time guidance can push protein language models toward degenerate sequences that still score well under the optimized property oracle. The authors propose a low-cost post-hoc filter based on the model’s natural activation statistics.arxiv.orgSecurity
Study Finds Denoising Can Recover More Text From Noise-Protected Embeddings
A paper accepted by IEEE ICDM 2026 reports that adaptive inversion reconstructs substantially more of the original text from Gaussian-noise-protected embeddings than an existing generative baseline, challenging a widely used privacy assumption without establishing real-world exposure or independent replication.arxiv.org
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