Latent Compaction with Test-Time Training. The story centres on GitHub. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability. Open the original report for the full detail.
Written by Bharat Hunt from the headline and the coverage below. The original reporting is the source of truth.
A2M: Trace-Optimized Agent Hijacking in the MCP Ecosystem. It centres on Model Context Protocol, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Agents and AI Coding — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
The Sirens' Song: When Proximal Background Context Overshadows Distant Evidence. It centres on AI Safety, and also names Benchmarks and GitHub. Reported by arXiv. Bharat Hunt files it under AI Research and AI Coding — the section covering papers, benchmarks, evaluations, interpretability and safety results.
EquivSVA: A Formally Verified Dataset of Behavioral Assertions Across Equivalent RTL Implementations. It centres on Benchmarks, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results.
GTR: Gated Token Recurrence for Efficient Dense Prediction. It centres on AI Safety, and also names Benchmarks and GitHub. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.