A paired-preprint reproducibility bundle for the closure-response operator $C_\varphi = L_M + \varphi^{-2} I$ on the 600-cell, threading two domain-disjoint empirical witnesses on a single fixed operator with no kernel-shape retuning between regimes.
This repository ships two preprints as a single coherent release. They share an operator. Paper A defines and proves it; Paper B is one of the two empirical witnesses below it.
| paper | scope | reproduces | |
|---|---|---|---|
| A | aria-closure-kernel — operator witness | The geometry-fixed kernel |
python3 verify_kernel.py (~1 s) |
| B | aria-chess — active-regime substrate witness | Eighteen preregistered cortical correspondences and six drug/sleep EEG signatures from the same kernel via a deterministic recurrent-layer trajectory at seed 42. |
python3 demo_drug_sleep_v4.py (~30 s) |
Paper A — operator witness on
| quantity | value |
|---|---|
|
|
120, 720, 12/12 (uniform) |
| Laplacian spectrum (multiplicities) | |
|
|
|
| Per-vertex correlation (unweighted) | |
| Per-vertex correlation ( |
|
| Multi-source sweep (120 sources, unweighted) max − min |
Paper B — six EEG drug/sleep signatures, single deterministic seed 42
cond α 95% CI R² pass
WAKE 2.252 [1.82, 2.86] 0.956 ✓
SLEEP_N3 3.250 [2.44, 4.14] 0.886 ✓
PROPOFOL 2.758 [2.52, 3.09] 0.931 ✓
RECOVERY 2.252 [1.82, 2.86] 0.956 ✓ (matches WAKE)
═══ TALLY: 6/6 signatures match ═══
WAKE α=2.252, CI [1.82, 2.86] is the three-way overlap with Sleep-EDFx EEG
(
A single fixed operator on a single fixed graph appears beneath two domain-disjoint empirical works without kernel-shape retuning. That is the load-bearing claim.
Explicitly not claimed: no derivation of the
papers/aria-closure-kernel/ # Paper A — operator witness
├── README.md # paper claims, files, repro
├── paper/ # tex + built PDF
└── repro/
├── verify_kernel.py # one self-contained ~470-line script
└── results.json # canonical numerical outputs
papers/aria-chess/ # Paper B — active-regime substrate witness
├── README.md # paper claims, files, repro
├── paper/ # tex + built PDF
├── brain_mapping_refs/ # frozen preregistration documents (8 files)
└── repro/
├── kernel/ # 6 modules, MIT-headered
├── demo_drug_sleep_v4.py # six EEG signatures, single seed 42
└── reproduce.sh # convenience driver
LICENSE # MIT
CITATION.cff # both papers as preferred-citation/references
pyproject.toml # `pip install -e .` makes `kernel.*` importable
Both PDFs are pre-built (papers/*/paper/main.pdf). To rebuild from source:
cd papers/aria-closure-kernel/paper && tectonic main.tex
cd papers/aria-chess/paper && tectonic main.tex(Or your favourite LaTeX toolchain. The bibliography uses natbib with
plainnat style.)
# install once: numpy + scipy + makes `kernel.*` importable
pip install -e .
# Paper A: ~1 s, no randomness, no external data
cd papers/aria-closure-kernel/repro && python3 verify_kernel.py
# Paper B: ~30 s, deterministic seed 42, no external data
cd papers/aria-chess/repro && ./reproduce.shTwo empirical landings have their own code bases, not bundled here:
- Passive regime — b-anomaly (vfd-b-anomaly): LHCb angular-anomaly fit on five public datasets. Threaded by Paper A §6.
- Active regime — aria-chess (aria-chess): full validation harness (chess robustness P9–P13, conversation closed-loop, HCP brain functional-connectivity comparison). The minimal repro here covers the operator, the geometry, and the six EEG signatures only; larger artifacts (chess engine, training data, HCP data) are not redistributable.
Preprint, not peer-reviewed. April 2026.
MIT — see LICENSE.
See CITATION.cff. BibTeX-equivalent entries are inside
each paper's references.bib.