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Experiment:

Date: · Git hash: · Hardware: (GPU, or CPU) · Config: (paste or link) · Lab or paper: (link)

Question and hypothesis

What I want to know. Prediction, written before running: (a number, with a reason)

Setup

Baseline (tuned how?) · the one thing I change · data · compute budget (FLOPs or GPU-hours) · seeds · metric and eval set (n items)

Results

variant metric (mean ± 95% CI) seeds compute

Figure: (one clear plot)

Prediction vs result

Was I right? Why or why not?

Threats to validity

Confounders, too-small n, untuned baseline, a single scale.

Next

The one experiment this result suggests.

Reproduce

The exact command or snippet, with seeds, that regenerates every number above.

Example of a finished entry: examples/2026-09-26-induction-shortcut.md.