arXiv:2608.14071v1 Announce Type: new Abstract: As large language models scale, their training-token budgets must also increase to maintain an appropriate…
Tag: AI
Mandato: Protocol-Level Enforcement of Digitally Signed Mandates on AI Agent Actions with Cryptographically Chained Audit Trails
arXiv:2608.14074v1 Announce Type: new Abstract: AI agents increasingly act on external systems through standardized tool-calling protocols such as the…
Get closer to the game with Gemini and Pixel
Low-angle view of a soccer player kicking a ball mid-air against a bright blue sky, with grass flying from their cleats.
Regime-Conditional Verification: Correctness Estimation for Adapting and Monitoring Safety Classifiers
arXiv:2608.14089v1 Announce Type: new Abstract: Safety classifiers deployed with large language models often fail for two reasons: their decisions reflect…
Agent-Orchestration in Autonomous Chip Design
arXiv:2608.14035v1 Announce Type: new Abstract: Recent developments in large language models (LLMs) and tool-using agents encourage people to explore the…
Buy the Rumor, Sell the News: When Is News Priced In?
arXiv:2608.14014v1 Announce Type: new Abstract: Two old market sayings hold that news is already priced in by the time it is published, and that the rumor…
Benchmarking data-driven material models on the classic Treloar dataset
arXiv:2608.14063v1 Announce Type: new Abstract: Machine learning is rapidly reshaping constitutive modeling, offers new ways to learn material behavior…
Demystifying Agent Skills: Why They Work-Until They Don’t
arXiv:2608.14036v1 Announce Type: new Abstract: Skills have emerged as a practical and effective approach for enhancing LLM agents at inference time…
AI and data centers have leapfrogged Israel, racism, and crypto as US campaign topics
AI shows up in nearly 40 percent of all US races, ranking ahead of Israel, racism, and manufacturing as a campaign topic. Data centers and their impact on…
Residual Dominance as a Structural Account of Last-Item Reliance in Causal Self-Attention Recommenders
arXiv:2608.14021v1 Announce Type: new Abstract: Transformer-based sequential recommenders with causal self-attention often rely heavily on the most recent…