A Locally Deployable Tool-Grounded LLM Multi-agent Framework for Automating Methane Emission Analysis and Reporting
3.40T1 sourcearXiv cs.MA
Source record
Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2608.18473.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryA tool-grounded LLM multi-agent framework automates methane field monitoring by coordinating sampling, meteorological data, sensor processing, Gaussian plume inversion, and report generation. Field-tested at wastewater, landfill, and oil and gas sites, it achieved 92% workflow routing accuracy, 85% emission estimation success, and reduced processing from hours to minutes with local data handling.
Why it mattersConcrete multi-agent setup with measured field-deployment results — useful as a case study in tool-grounded LLM coordination, not just another agent demo.
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