| Age | Commit message (Collapse) | Author |
|---|
|
generate_paper_tables.py reads the row-level CSVs and emits the four
appendix tables (initialization calibration rows, finite-time cells,
CNN calibration rows, learning-rate regimes) with the paper's nested
uncertainty convention. The fragments are included by the manuscript
via \input; no table value is transcribed manually.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
|
|
Pulled from the original experiment machine. These are the authoritative
source rows behind the Appendix H tables (regime_summary matches the
paper values; the depth-3 compensated gap rounds to 0.16262).
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
|
|
Panel 1a: rename to Backward rules; DFA drawn as direct side-to-side
arrows from the error to each hidden layer. Panel 1b: replace the dual
y-axis with stacked guarantee/cost sub-axes. Figure 2: reader-facing
panel titles; legend renames (linear extrapolation, relinearization).
Track the regenerated figure-source CSVs (verified bit-exact against
the frozen paper numbers) so figures can be rebuilt without rerunning
experiments.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
|
