Abstract

ShadowMiner v1 is a system that automatically discovers research problems and generates hypotheses from AI papers. It is a nine-stage pipeline. It structures documents into a knowledge graph and finds graph gaps in it - structural blind spots in research. These graph gaps are included in the LLM generation prompt. Each generated hypothesis is then verified by checking whether it is already covered by existing research, scoring its quality, and checking that the facts it relies on are accurately drawn from its sources. This report does not propose a new generation or evaluation technique. It describes our experience of implementing and applying ideas from prior work, and measuring whether each one actually contributed.

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Publication details

Journal
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Open access
Green open access

Cite this article

APA 7

Choi, J. (2026). ShadowMiner v1 - An Experience Report on Implementing and Measuring a Problem-and-Hypothesis Discovery Engine. https://omanscience.com/en/articles/shadowminer-v1-an-experience-report-on-implementing-and-measuring-a-problem-and-hypothesis-discovery-engine

MLA 9

Choi, Jinhyuk. "ShadowMiner v1 - An Experience Report on Implementing and Measuring a Problem-and-Hypothesis Discovery Engine." https://omanscience.com/en/articles/shadowminer-v1-an-experience-report-on-implementing-and-measuring-a-problem-and-hypothesis-discovery-engine.

Chicago (author–date)

Choi, Jinhyuk. 2026. "ShadowMiner v1 - An Experience Report on Implementing and Measuring a Problem-and-Hypothesis Discovery Engine." https://omanscience.com/en/articles/shadowminer-v1-an-experience-report-on-implementing-and-measuring-a-problem-and-hypothesis-discovery-engine.

Harvard

Choi, J. (2026) 'ShadowMiner v1 - An Experience Report on Implementing and Measuring a Problem-and-Hypothesis Discovery Engine', Available at: https://omanscience.com/en/articles/shadowminer-v1-an-experience-report-on-implementing-and-measuring-a-problem-and-hypothesis-discovery-engine.

Vancouver

Choi J. ShadowMiner v1 - An Experience Report on Implementing and Measuring a Problem-and-Hypothesis Discovery Engine. https://omanscience.com/en/articles/shadowminer-v1-an-experience-report-on-implementing-and-measuring-a-problem-and-hypothesis-discovery-engine

IEEE

J. Choi, "ShadowMiner v1 - An Experience Report on Implementing and Measuring a Problem-and-Hypothesis Discovery Engine," https://omanscience.com/en/articles/shadowminer-v1-an-experience-report-on-implementing-and-measuring-a-problem-and-hypothesis-discovery-engine.