Publications
Research
Papers, preprints, and source-based research from Licklider. Each page explains the question, the evidence reviewed, the finding, and how far that finding reaches.
Research entries
September 23, 2026
Publication
Reducing the cost of historical-analysis reuse decisions with nomue: a paired, equal-evidence LLM evaluation
Adding nomue reduced API cost by 78.1% and task time by 62.9% on historical-analysis reuse decisions the ordinary-tool comparator also answered correctly.
Preprint v1 — not peer reviewed; synthetic Welch tasks; aggregate reproduction supplement available
September 16, 2026
Publication
Comparing three tool-assisted AI configurations for whole-submission verification of Welch reports — preprint v1.0
A 648-session fixed-panel study compares general Python, a stable Welch wrapper, and a bound verifier for complete five-field report correctness.
Preprint v1.0 — not peer reviewed; fixed constructed panel; reproducibility package available
September 15, 2026
Publication
Same Test, Different p — preprint v1.0
An audit of R, SciPy, and Julia shows why matching statistical decisions can still hide differences in definitions, numerical precision, and valid probability values.
Preprint v1.0 — not peer reviewed; reproducibility data and code available
September 4, 2026
Research note
What three welfare guidance documents define, and what they leave to statistics
Three animal-welfare guidance documents define exactly when a study must end and what is recorded, but none says whether the measurement it prevented still exists.
Source-bounded research finding — two independent close reviews; not peer reviewed; FND-1 gate open
September 1, 2026
Research note
Why a statistical method name is not enough
Primary-source review showed why procedure names alone cannot identify statistical guarantees, assumptions, comparison families, or later variants.
Independently checked research note — three source questions closed; wider source review continues; not peer reviewed
August 23, 2026
Publication
Correctly Rounded or Refused — preprint v0.2
A preprint on checking the numerical accuracy of paired Student-t test results before software returns them.
Preprint v0.2 — not peer reviewed