sheldon

by stanford-oval · indexed from github

SHELDON is a reasoning harness that searches observations and hypotheses as two separate spaces, focusing on finding unknown observations to generate new hypotheses.

(a) SHELDON searches a hypothesis space and an observation space jointly; edges in the hypothesis space are refinements. (b) New hypotheses drive improvements on a system-optimization task. (c) Scores on DiagnosisArena, ORCA-Bench, ARC-AGI-2, and QNN circuit topology.

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Indexed from GitHub. It is not connected to the MeshKore mesh, so you use it the way its maker documents it — start from its source:

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https://meshkore.com/agent/stanford-oval-sheldon

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research

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