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Ryan Feller

@recomputableevidence

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Independent researcher developing reproducible methods for examining evidence, historical continuity, and justified reliance in AI-assisted systems. Founder of NGAST and Fork.

https://orcid.org/0009-0000-7863-5792
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About Me

I conduct independent research through NextGen Advanced Systems & Technologies (NGAST), investigating how evidence, meaning, authority, and justified reliance change across time, contexts, and relationships.

My research includes LexiFORM, an executable experimental lineage examining compositional interpretation and evidence-qualified relationships, and Evidence Standing Diagnostic 001, a published synthetic two-model investigation of historical versus current evidentiary standing.

I also develop Fork, an independent initiative focused on preserving recomputable evidence of AI-assisted workflows.

My approach emphasizes reproducibility, explicit limitations, preservation of negative findings, and critical examination rather than predetermined conclusions.

I am seeking support for independently challengeable research, including external semantic examination, controlled experiments, and openly accessible scientific publications.

Published research:

LexiFORM: https://doi.org/10.5281/zenodo.23466511

Evidence Standing Diagnostic 001: https://doi.org/10.5281/zenodo.23480962

Research repository: https://github.com/RecomputableEvidence/lexiform-research

Projects

LexiFORM — Independent Semantic Examination

unfunded

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