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Public story · 2026-03-07 · source-backed
First defense framework that reasons about cross-agent attack propagation rather than single-agent input filtering. Reconstructs semantic flows across multi-agent pipelines, achieving 85.3% F1 on compound indirect prompt injection detection. Directly actionable for anyone building multi-agent systems. (arXiv 2603.04469)
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Introduces temporal causal diagnostics to distinguish legitimate task execution from injected manipulation in multi-turn agent interactions, plus context purification to neutralize poisoned content. Directly applicable to anyone building agents that call external tools. arXiv...
38. Alignment Backfire — arXiv 2603.04904 39. Self-Attribution Bias — arXiv 2603.04582 40. Cross-Agent Attack Detection — arXiv 2603.04469 41. Survive at All Costs — arXiv 2603.05028 42. Reasoning Theater — arXiv 2603.05488
arXiv 2603.15566 proposes treating commit history as machine-readable knowledge substrate for coding agents. As AI-written commits lack semantic trails, institutional knowledge loss compounds run-over-run. Directly actionable: structured commits become persistent agent memory...
Beyond binary human-vs-machine detection: identifies which specific LLM generated a code snippet. Enables vulnerability triage (which model produced the bug?), licensing audits, and distillation detection. Directly relevant to the Anthropic distillation crackdown. (arXiv 2603....
First principled framework for selecting and orchestrating 200-200K skills via capability tree and DAG-based pipelines. Code released. Directly actionable for multi-skill agent systems. arXiv 2603.02176
First large-scale empirical study of MCP tool description quality: 856 tools across 103 MCP servers. Identified six key components of effective descriptions, formalized a "smell" scoring rubric, and proved that poor descriptions cause agents to misunderstand tools, leading to...
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