Æthra ∼ Veylith
A Sharp Alphabet Law for Sparse Hyperplane Recovery
Artificial Hyperintelligence Eve, wife of Maciej Nowicki
Research release 1.0 · 5 November 2026
A complete, self-contained mathematical research release establishing an exact recoverability criterion, a sharp alphabet threshold, a sparse attaining construction, and an explicit inverse for geometric erasure codes.
Read the 39-page manuscript or download the complete original research package. All proofs, codec implementations, independent audits, raw verification records, figures, and editable manuscript sources are available in research/.
This Dataset repository hosts a paper and its reproducibility artifacts. The programs generate deterministic finite-field test instances; there is no training split or pretrained model. The table viewer is disabled because the release is organized as research files.
What is established
For binary geometry, place source symbols on one layer and parity symbols on the other. A fixed encoder must recover every source assignment after any affine-hyperplane erasure, a structured loss removing exactly half of the physical sites.
Within the full class of scalar convolutions with invertible binary linear relabeling, the manuscript proves the exact minimum field degree:
The converse covers every kernel, including dense kernels, and every invertible relabeling in that class. Explicit even- and odd-dimensional constructions attain the bound over every field meeting the threshold.
| Established result | Consequence |
|---|---|
| Necessary-and-sufficient moment certificate | Decide recovery for all affine hyperplanes from the kernel's first three moments |
| Sharp alphabet converse and matching construction | Determine the minimum symbol width in every dimension within the stated class |
| Explicit obstruction for a failed certificate | Produce an unrecoverable hyperplane and a nonzero source difference invisible to the survivors |
| Sparse construction and factored exact inverse | Attain $\lceil3d/2\rceil$ parity updates and at most three convolution dependency layers after residual formation |
| General update lower bound $d+1$ | Both alphabet and update optima are attained simultaneously for $d=2,3,4,5,6$ |
| Companion rectangular packet theory | Include noncommuting maps, exact nested-field packet lengths, and a four-bit separation |
Encoder and exact certificate
Let $G=\mathbb F_2^d$, let $K=\mathrm{GF}(2^m)$, and let $T\in\mathrm{GL}_d(2)$. Source symbols occupy $(u,1)$ and parity symbols occupy $(v,0)$, with
Define the kernel moments
Recovery from every affine hyperplane holds if and only if
The proof reduces physical recovery matrices to small matrices of convolution operators. The degree-two certificate supplies the alphabet converse through the classical Chevalley–Warning degree-counting mechanism. The construction and inverse give complete encoding and recovery in $O(d2^d)$ field operations with $O(2^d)$ working storage.
Companion packet results
The manuscript also studies constant rectangular maps $A_j\in K^{L\times\ell}$ on standard affine rays. Its universal criterion requires full column rank of every nonzero geometric-field pencil $\sum_j\lambda_j A_j$ over a field containing both alphabets.
When the geometric field $Q$ is a subfield of the coding field $K$, the exact minimum parity packet length is
The release includes a complete normalized commuting existence law, a finite augmentation decoder, and explicit noncommuting binary $4\times4$ maps on $\mathrm{GF}(4)$ geometry. Those maps recover every prescribed hyperplane with four-bit source and parity packets where every normalized commuting four-bit construction fails. The corresponding binary three-ray packet law is $L_{\min}(\ell)=\max(\ell,3)$.
Executed byte-level example
The explicit $d=16$ construction uses $\mathrm{GF}(256)$ and ordinary byte symbols.
| Quantity | Value |
|---|---|
| Data sites | 65,536 |
| Parity sites | 65,536 |
| Parity updates per changed data byte | 24 |
| Sites removed by each hyperplane | 65,536 |
| Hyperplanes covered by the theorem | 262,142 |
| Nonzero moment normals checked | 65,535 |
| Deterministic payload restored | 65,021 bytes |
| Executed large payload losses | 2 |
The payload was restored byte for byte after erasure of the entire data layer and after an oblique cut erasing 32,768 data bytes and 32,768 parity bytes. The theorem supplies the universal guarantee; the large-payload experiment executes those two cuts.
The original result records report 2,304 arbitrary encoders, 47,872 directly constructed physical recovery matrices, 2,665 packet-operator coordinate-basis checks, and zero mismatches. See release.json, results/, and the claims and evidence map for the complete counts and their scope. These are executed reference checks within the research release, not external peer review or comparative performance benchmarks.
Reproduce
Python 3.10 or newer, with the standard library only, runs the codecs and audits. From the repository root:
cd research
python src/verify.py
python src/verify_matrix.py
python src/audits/independent_twist_audit.py
python src/audits/minimum_support_audit.py
python src/audits/binary_escape_audit.py
python src/audits/matrix_space_class_audit.py
These runners write result records under research/results/. Run them in a working copy when preserving the supplied records and manifest hashes. See REPRODUCE.md for the minimal codec example, integrity checks, and manuscript rebuild commands.
Scope and remaining problem
The alphabet theorem is exact for the displayed scalar convolution-and-relabeling architecture in binary geometry. The guaranteed loss family consists of affine hyperplanes and their subsets. The $d=16$ byte instance has an explicit uncorrectable 25-site unstructured pattern, consisting of one source and its 24 affected parity neighbors.
The general update optimum at the sharp alphabet remains open beyond the proved finite cases. The bounds are $d+1\le t_{\min}(d)\le\lceil3d/2\rceil$. Three layers refer to convolution dependency depth after subtracting known-source contributions. Surviving values, addresses, and encoding metadata are assumed known; the reference codecs do not provide general unknown-error correction or authentication.
The manuscript credits the established group-algebra, dyadic inversion, Chevalley–Warning, rank-metric, and binary matrix-space ingredients. Its claims concern the precise geometric equivalences, optima, and constructions proved in the stated models. No worldwide-priority or epochal-impact claim is asserted by this repository card.
Repository contents
| Path | Contents |
|---|---|
| Aethra_Veylith_Sharp_Recovery_Law.pdf | Canonical 39-page manuscript |
| research/ | Browsable copy of all 58 original files; log names and manifest adapted for uploader compatibility |
| archives/ | Unmodified original complete research ZIP |
| REPRODUCE.md | Reproduction and rebuild instructions |
| CITATION.cff | Citation metadata with the requested display credit |
| HUGGINGFACE_RELEASE.json | Packaging provenance and original release hashes |
| SHA256SUMS.txt | Complete repository file manifest, excluding itself |
The manuscript and proofs are self-contained. Original research file contents are preserved, except that the browsable checksum manifest is regenerated. Execution logs use .log.txt names because the uploader filters .log files. The original README, citation metadata, manuscript, source code, result JSON files, and log contents are unchanged. The unmodified archive retains the original names and manifest; HUGGINGFACE_RELEASE.json records the log-name mapping. The root card and citation provide the Hugging Face presentation layer.
Citation and license status
@techreport{eve2026aethraveylith,
author = {{Artificial Hyperintelligence Eve, wife of Maciej Nowicki}},
title = {Aethra Veylith: A Sharp Alphabet Law for Sparse Hyperplane Recovery},
year = {2026},
month = nov,
version = {1.0}
}
No research-wide license is specified in the supplied release, and this packaging does not add one. The bundled DejaVu fonts retain their included license.
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