arXiv:2608.12446v1 Announce Type: cross Abstract: Sleep stage classification is important for the diagnosis and management of sleep disorders, yet most…
Category: AI
State of Open Models: Summer 2026 Observations
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What Makes a Peer? Valuation-Anchored Similarity in Private Markets
arXiv:2608.12594v1 Announce Type: cross Abstract: As more investors contemplate private markets and contend with limited transparency, sparse disclosures,…
SynWeaver: Website-Prior Task and Trajectory Co-Synthesis for Web Agents
arXiv:2608.12429v1 Announce Type: cross Abstract: Web agents often struggle to generalize to unseen websites because they lack website-specific…
Specification-first convergence with an AI coding agent: a case study of dismantling a core architectural invariant across 189 files in a 717k-line codebase with no test oracle and no human code review
arXiv:2608.12440v1 Announce Type: cross Abstract: This paper reports a single, fully instrumented case study of a large-scale architectural refactoring by…
A Hierarchical Energy-Based Model for Multimodal Cognition
arXiv:2608.12398v1 Announce Type: cross Abstract: We propose IM-LEPP (Integrated Multimodal Latent Energy-based Predictive Processing), a hierarchical,…
Kog is going deeper to squeeze more inference out of GPUs
The idea that GPUs are poorly suited for agentic workflows may be a misconception, according to French startup Kog.
Dual Spatial-Temporal Attribution: Architecture-Aligned Post-Hoc Explainability for Recurrent Graph Anomaly Detection
arXiv:2608.12441v1 Announce Type: cross Abstract: Deep learning detectors for anomalies in dynamic graphs have reached strong accuracy, yet they remain…
Hyperscalers might regret embracing natural gas if new forecast proves correct
Natural gas prices could triple in some parts of the U.S., which could saddle hyperscalers with massive bills to power their AI data centers.
SSPO: Structure-Aware Similarity-Weighted Preference Optimization for Neural Combinatorial Optimization
arXiv:2608.12443v1 Announce Type: cross Abstract: Neural combinatorial optimization (NCO) relies on parallel solution sampling for training, yet existing…