LM agents' changeable modules prevent persistent identity and sanction sensitivity, making reputation mechanisms structurally inapplicable and requiring protocol-based behavioral harnesses instead.
Agentic web: weaving the next web with
6 Pith papers cite this work. Polarity classification is still indexing.
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2026 6verdicts
UNVERDICTED 6representative citing papers
GRAIL achieves over 79 times lower latency than LLM-parsing baselines and higher Recall@10 than vector search by combining SLM-enhanced prediction, pseudo-document expansion, and MaxSim resonance on the new AgentTaxo-9K dataset of 9,240 agents.
AI-Sinkhole uses AI classification with quantized LLMs and Pi-Hole DNS blocking to dynamically prevent access to LLM services during student evaluations, reporting F1 scores above 0.83.
A framework structures AI-generated content with prompt-aware metadata and verifiable credentials to support reliable assessment and reuse by agents.
WebUncertainty improves web agent performance on benchmarks by adaptively selecting planning modes based on task uncertainty and using confidence-induced action uncertainty in MCTS to quantify aleatoric and epistemic uncertainty for better decisions.
Position paper proposing 'scaling the harness' as the next bottleneck in agentic AI, with three core system challenges and an open-source reference implementation called CheetahClaws.
citing papers explorer
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Fighting AI with AI: AI-Agent Augmented DNS Blocking of LLM Services during Student Evaluations
AI-Sinkhole uses AI classification with quantized LLMs and Pi-Hole DNS blocking to dynamically prevent access to LLM services during student evaluations, reporting F1 scores above 0.83.