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Evidence record 5456 · automatically gathered

GeoMind: An Agentic Workflow for Lithology Classification with Reasoned Tool Invocation

Lithology classification in well logs is a fundamental geoscience data mining task that aims to infer rock types from multi dimensional geophysical sequences. Despite recent progress, existing approaches typically formulate the problem as a static, single-step discriminative mapping. This static paradigm limits evidence-based diagnostic reasoning against geological standards, often yielding predictions that are detached from geological reality due to a lack of domain priors. In this work, we pro

Record details

Published: 23 April 2026
Source: arXiv
Category: Research
Topics: Bias & fairness · Healthcare · Agents & autonomy
Retrieved: 14 July 2026

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How to cite this record

ethics.ai (23 April 2026), “GeoMind: An Agentic Workflow for Lithology Classification with Reasoned Tool Invocation,” evidence record 5456, https://ethics.ai/record/5456 (originally published by arXiv).

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