{"slug": "hawkesllm-semantic-uncertainty-propagation-in-agentic-text-simulation", "title": "HawkesLLM: Semantic Uncertainty Propagation in Agentic Text Simulation", "summary": "Researchers introduced HawkesLLM, a framework that models how uncertainty propagates through sequential text generation in agentic simulation systems. The framework uses a multivariate Hawkes process to track temporal influences between text-generating agents, then applies a language model to write new events based on selected prior outputs. In tests using GDELT news-cascade data, HawkesLLM improved late-stage semantic alignment while operating under a compact prompt-memory budget.", "body_md": "arXiv:2605.23043v1 Announce Type: new\nAbstract: Agentic text-simulation systems write in sequence, with each item becoming possible context for later steps. That makes uncertainty path-dependent: an early ambiguity can affect later outputs. This paper studies this problem with HawkesLLM, a framework that separates temporal influence modeling from text generation. We represent the cascade as a network whose nodes are text-generating agents. A multivariate Hawkes process models how these nodes activate over time and which earlier node outputs should influence later prompts. A language model then writes each new event from the compact memory selected by this temporal model. We evaluate the framework on a held-out Global Database of Events, Language, and Tone (GDELT) news-cascade case study. The diagnostics track semantic alignment with local held-out references and separate local drift from global drift. In this setting, HawkesLLM improves late-stage semantic alignment under a compact prompt-memory budget.", "url": "https://wpnews.pro/news/hawkesllm-semantic-uncertainty-propagation-in-agentic-text-simulation", "canonical_source": "https://arxiv.org/abs/2605.23043", "published_at": "2026-05-25 04:00:00+00:00", "updated_at": "2026-05-25 15:26:40.466066+00:00", "lang": "en", "topics": ["artificial-intelligence", "machine-learning", "large-language-models", "natural-language-processing", "ai-agents"], "entities": ["HawkesLLM", "GDELT"], "alternates": {"html": "https://wpnews.pro/news/hawkesllm-semantic-uncertainty-propagation-in-agentic-text-simulation", "markdown": "https://wpnews.pro/news/hawkesllm-semantic-uncertainty-propagation-in-agentic-text-simulation.md", "text": "https://wpnews.pro/news/hawkesllm-semantic-uncertainty-propagation-in-agentic-text-simulation.txt", "jsonld": "https://wpnews.pro/news/hawkesllm-semantic-uncertainty-propagation-in-agentic-text-simulation.jsonld"}}