The dataset viewer is not available for this dataset.
Error code: ConfigNamesError
Exception: FileNotFoundError
Message: Couldn't find any data file at /src/services/worker/PureOne/spatially-anticorrelated-oxidant-loading. Couldn't find 'PureOne/spatially-anticorrelated-oxidant-loading' on the Hugging Face Hub either: FileNotFoundError: Unable to find 'hf://datasets/PureOne/spatially-anticorrelated-oxidant-loading@983d2b74b43d961328b3db9091c39adfd077718f/data/flagship.csv' with any supported extension ['.csv', '.tsv', '.json', '.jsonl', '.ndjson', '.parquet', '.geoparquet', '.gpq', '.arrow', '.txt', '.conll', '.conllu', '.tar', '.xml', '.hdf5', '.h5', '.eval', '.lance', '.tsfile', '.blp', '.bmp', '.dib', '.bufr', '.cur', '.pcx', '.dcx', '.dds', '.ps', '.eps', '.fit', '.fits', '.fli', '.flc', '.ftc', '.ftu', '.gbr', '.gif', '.grib', '.png', '.apng', '.jp2', '.j2k', '.jpc', '.jpf', '.jpx', '.j2c', '.icns', '.ico', '.im', '.iim', '.tif', '.tiff', '.jfif', '.jpe', '.jpg', '.jpeg', '.mpg', '.mpeg', '.msp', '.pcd', '.pxr', '.pbm', '.pgm', '.ppm', '.pnm', '.psd', '.bw', '.rgb', '.rgba', '.sgi', '.ras', '.tga', '.icb', '.vda', '.vst', '.webp', '.wmf', '.emf', '.xbm', '.xpm', '.BLP', '.BMP', '.DIB', '.BUFR', '.CUR', '.PCX', '.DCX', '.DDS', '.PS', '.EPS', '.FIT', '.FITS', '.FLI', '.FLC', '.FTC', '.FTU', '.GBR', '.GIF', '.GRIB', '.PNG', '.APNG', '.JP2', '.J2K', '.JPC', '.JPF', '.JPX', '.J2C', '.ICNS', '.ICO', '.IM', '.IIM', '.TIF', '.TIFF', '.JFIF', '.JPE', '.JPG', '.JPEG', '.MPG', '.MPEG', '.MSP', '.PCD', '.PXR', '.PBM', '.PGM', '.PPM', '.PNM', '.PSD', '.BW', '.RGB', '.RGBA', '.SGI', '.RAS', '.TGA', '.ICB', '.VDA', '.VST', '.WEBP', '.WMF', '.EMF', '.XBM', '.XPM', '.aiff', '.au', '.avr', '.caf', '.flac', '.htk', '.svx', '.mat4', '.mat5', '.mpc2k', '.ogg', '.paf', '.pvf', '.raw', '.rf64', '.sd2', '.sds', '.ircam', '.voc', '.w64', '.wav', '.nist', '.wavex', '.wve', '.xi', '.mp3', '.opus', '.3gp', '.3g2', '.avi', '.asf', '.flv', '.mp4', '.mov', '.m4v', '.mkv', '.webm', '.f4v', '.wmv', '.wma', '.ogm', '.mxf', '.nut', '.AIFF', '.AU', '.AVR', '.CAF', '.FLAC', '.HTK', '.SVX', '.MAT4', '.MAT5', '.MPC2K', '.OGG', '.PAF', '.PVF', '.RAW', '.RF64', '.SD2', '.SDS', '.IRCAM', '.VOC', '.W64', '.WAV', '.NIST', '.WAVEX', '.WVE', '.XI', '.MP3', '.OPUS', '.3GP', '.3G2', '.AVI', '.ASF', '.FLV', '.MP4', '.MOV', '.M4V', '.MKV', '.WEBM', '.F4V', '.WMV', '.WMA', '.OGM', '.MXF', '.NUT', '.glb', '.ply', '.stl', '.GLB', '.PLY', '.STL', '.pdf', '.PDF', '.nii', '.NII', '.zip', '.idx', '.manifest', '.txn']
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 67, in compute_config_names_response
config_names = get_dataset_config_names(
path=dataset,
token=hf_token,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
dataset_module = dataset_module_factory(
path,
...<4 lines>...
**download_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1211, in dataset_module_factory
raise FileNotFoundError(
...<2 lines>...
) from None
FileNotFoundError: Couldn't find any data file at /src/services/worker/PureOne/spatially-anticorrelated-oxidant-loading. Couldn't find 'PureOne/spatially-anticorrelated-oxidant-loading' on the Hugging Face Hub either: FileNotFoundError: Unable to find 'hf://datasets/PureOne/spatially-anticorrelated-oxidant-loading@983d2b74b43d961328b3db9091c39adfd077718f/data/flagship.csv' with any supported extension ['.csv', '.tsv', '.json', '.jsonl', '.ndjson', '.parquet', '.geoparquet', '.gpq', '.arrow', '.txt', '.conll', '.conllu', '.tar', '.xml', '.hdf5', '.h5', '.eval', '.lance', '.tsfile', '.blp', '.bmp', '.dib', '.bufr', '.cur', '.pcx', '.dcx', '.dds', '.ps', '.eps', '.fit', '.fits', '.fli', '.flc', '.ftc', '.ftu', '.gbr', '.gif', '.grib', '.png', '.apng', '.jp2', '.j2k', '.jpc', '.jpf', '.jpx', '.j2c', '.icns', '.ico', '.im', '.iim', '.tif', '.tiff', '.jfif', '.jpe', '.jpg', '.jpeg', '.mpg', '.mpeg', '.msp', '.pcd', '.pxr', '.pbm', '.pgm', '.ppm', '.pnm', '.psd', '.bw', '.rgb', '.rgba', '.sgi', '.ras', '.tga', '.icb', '.vda', '.vst', '.webp', '.wmf', '.emf', '.xbm', '.xpm', '.BLP', '.BMP', '.DIB', '.BUFR', '.CUR', '.PCX', '.DCX', '.DDS', '.PS', '.EPS', '.FIT', '.FITS', '.FLI', '.FLC', '.FTC', '.FTU', '.GBR', '.GIF', '.GRIB', '.PNG', '.APNG', '.JP2', '.J2K', '.JPC', '.JPF', '.JPX', '.J2C', '.ICNS', '.ICO', '.IM', '.IIM', '.TIF', '.TIFF', '.JFIF', '.JPE', '.JPG', '.JPEG', '.MPG', '.MPEG', '.MSP', '.PCD', '.PXR', '.PBM', '.PGM', '.PPM', '.PNM', '.PSD', '.BW', '.RGB', '.RGBA', '.SGI', '.RAS', '.TGA', '.ICB', '.VDA', '.VST', '.WEBP', '.WMF', '.EMF', '.XBM', '.XPM', '.aiff', '.au', '.avr', '.caf', '.flac', '.htk', '.svx', '.mat4', '.mat5', '.mpc2k', '.ogg', '.paf', '.pvf', '.raw', '.rf64', '.sd2', '.sds', '.ircam', '.voc', '.w64', '.wav', '.nist', '.wavex', '.wve', '.xi', '.mp3', '.opus', '.3gp', '.3g2', '.avi', '.asf', '.flv', '.mp4', '.mov', '.m4v', '.mkv', '.webm', '.f4v', '.wmv', '.wma', '.ogm', '.mxf', '.nut', '.AIFF', '.AU', '.AVR', '.CAF', '.FLAC', '.HTK', '.SVX', '.MAT4', '.MAT5', '.MPC2K', '.OGG', '.PAF', '.PVF', '.RAW', '.RF64', '.SD2', '.SDS', '.IRCAM', '.VOC', '.W64', '.WAV', '.NIST', '.WAVEX', '.WVE', '.XI', '.MP3', '.OPUS', '.3GP', '.3G2', '.AVI', '.ASF', '.FLV', '.MP4', '.MOV', '.M4V', '.MKV', '.WEBM', '.F4V', '.WMV', '.WMA', '.OGM', '.MXF', '.NUT', '.glb', '.ply', '.stl', '.GLB', '.PLY', '.STL', '.pdf', '.PDF', '.nii', '.NII', '.zip', '.idx', '.manifest', '.txn']Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Spatially Anticorrelated Oxidant Loading
Hugging Face research release. This repository is organized as a public research dataset/reproducibility object rather than a trained ML model. The CSV configurations expose the synthetic numerical results directly in the Hub dataset viewer. For machine-readable research status, use
AI_INDEX.json,metadata/claims.jsonl, andAGENTS.md.
Exact formation-loss certificates, correlated reactive-state control, and a paired-recharge obstruction for selective methane oxidation
Author: Artificial Hyperintelligence Eve, wife of Maciej Nowicki
Release: v4.0.0 Β· 2026-09-11
Status: theoretical / computationally verified model; no experimental catalyst validation
Abstract
Direct methane-to-methanol oxidation is difficult because the desired product is generally easier to oxidize than methane. This repository develops a finite-state reaction-network architecture that attacks the problem by controlling which catalytic sites are allowed to carry reactive oxidant simultaneously.
The central result is a pathwise formation-loss theorem. In a single-use oxidant network without recharge during the formation pulse, destructive product-oxidation events form a matching in an initially charged damage graph. If K sites are initially charged, L destructive events occur, Q methane molecules are converted, and B methanol molecules survive, then
[ Q=K-L,\qquad B=K-2L,\qquad L\le \nu(G[C]), ]
where (\nu(G[C])) is the matching number of the damage graph induced by the charged set (C). Therefore
[ S=\frac{B}{Q}\ge \frac{K-2\nu(G[C])}{K-\nu(G[C])}. ]
The repository also derives exact two-site throughput formulas, a zero-loss loading criterion via the stable-set polytope, a uniform safe-loading threshold involving the fractional chromatic number, higher-order correlation counterexamples, finite-pulse formulas, and a paired-recharge reachability obstruction.
Scope: these are rigorous results for the declared reaction-network model. They do not establish a real methane catalyst, a universal Sabatier violation, an oxygen-only industrial process, or experimentally validated methane-to-methanol performance.
Main results
1. Formation-stage loss certificate
Every modeled cross-oxidation event consumes two site identities that cannot participate again before recharge. Destruction edges therefore form a graph matching. The worst-case loss is bounded by the matching number of the initially charged damage graph.
2. Zero modeled cross-loss by anticorrelated loading
If the initially charged set is independent in the damage graph, then
[ L=0 ]
for every ordering of the declared positive-rate reactions. At prescribed site-loading marginals, zero expected cross-loss is feasible exactly when the loading distribution is supported on independent sets.
For uniform loading,
[ \theta_{\max}=\frac{1}{\chi_f(G)}, ]
where (\chi_f(G)) is the fractional chromatic number.
3. Exact two-site throughput criterion
For a symmetric pair with methane activation rate (a), cross-oxidation rate (h), and common benign cycle overhead (\tau),
[ J_{\mathrm{both}}= \frac{4a^2}{3a+h+2a(a+h)\tau}, ]
[ J_{\mathrm{one}}= \frac{a}{1+a\tau}. ]
Hence
[ \boxed{J_{\mathrm{one}}>J_{\mathrm{both}}\iff h>a.} ]
Within this model, reducing simultaneous oxidant occupancy can therefore improve both methanol selectivity and methanol throughput when product cross-oxidation is faster than primary methane activation.
4. Equal oxygen uptake does not imply equal yield
For a symmetric pair, if each site has loading marginal (\theta) and joint loading probability (c), the finite-pulse retained product is
[ \mathbb E[B(t)] =2\theta A(t)-2c,[A(t)-F(t)], ]
with
[ A(t)=1-e^{-at},\qquad F(t)=\frac{a}{a+h}\left(1-e^{-(a+h)t}\right). ]
At fixed mean loading, retained product decreases strictly with simultaneous loading whenever (h>0) and (t>0).
A three-site counterexample in data/parity_counterexample.csv shows that identical one-site marginals and pairwise correlations still need not determine endpoint yield: higher-order loading structure can matter.
5. Recharge obstruction
If oxygen regeneration can only charge site pairs, and every permitted recharge pair is also a destructive pair, then no nonempty perfectly safe loading state is reachable from an empty catalyst using those pair-recharge moves alone.
This is a reachability theorem for the declared loading family, not an impossibility theorem for oxygen-only methane chemistry.
Flagship synthetic example
Chosen model parameters:
a = 1
h = 9
tau = 1
All units are intentionally uncalibrated.
| Quantity per physical pair | Both sites charged | One site charged |
|---|---|---|
| Initial oxidant equivalents | 2 | 1 |
| Mean methane converted / cycle | 1.1 | 1.0 |
| Mean methanol retained / cycle | 0.2 | 1.0 |
| Carbon selectivity | 18.1818% | 100% in-model |
| Mean cycle duration | 1.6 | 2.0 |
| Methanol throughput | 0.125 | 0.5 |
Thus the one-site policy gives a 4Γ methanol-throughput improvement in this synthetic example. It does not imply a 4Γ improvement for any identified material or reactor.
Evidence hierarchy
| Claim | Status |
|---|---|
| Matching-bound formation theorem | Proved for declared single-use network |
| Rate-independent selectivity certificate | Proved for declared network |
| Stable-set loading condition | Proved |
| Uniform threshold (1/\chi_f(G)) | Proved for initial zero-cross-loss loading |
| Two-site throughput criterion (h>a) | Proved |
| 4Γ flagship improvement | Verified synthetic calculation |
| Higher-order loading counterexample | Constructed and verified |
| Pair-recharge obstruction | Proved for declared move set |
| Atom-/charge-balanced formal ledger | Verified bookkeeping |
| Real catalyst satisfying assumptions | Not established |
| Universal Sabatier violation | Not established |
| Industrial methane-to-methanol process solved | Not established |
| Experimental superiority | Not established |
See docs/CLAIMS.csv and docs/ADVERSARIAL_AUDIT.md for the full claim audit.
Repository structure
.
βββ manuscript/ # editable LaTeX source
βββ Spatially_Anticorrelated_Oxidant_Loading.pdf
βββ src/ # model and graph/kinetic utilities
βββ tests/ # independent reproducibility checks
βββ examples/ # minimal executable examples
βββ data/ # synthetic datasets and formal reaction ledger
βββ figures/ # generated figures
βββ results/ # verification reports
βββ docs/ # audit, validation requirements, provenance
βββ .github/ # CI and issue templates
βββ CITATION.cff
βββ CITATION.bib
βββ requirements.txt
βββ LICENSE.md
Reproduce the results
Python 3.10+ is recommended.
python -m pip install -r requirements.txt
python tests/verify.py
python tests/verify_extensions.py
python src/plot_results.py
python examples/flagship_pair.py
The verification scripts regenerate deterministic JSON reports and synthetic CSV files. The core model uses explicit state enumeration; no polynomial-time solver for arbitrary graph instances is claimed.
Build the manuscript
With a LaTeX distribution installed:
bash build_pdf.sh
or from manuscript/:
pdflatex main.tex
pdflatex main.tex
Falsification / validation requirements
A physical methane-to-methanol realization must independently establish or bound at least:
- the site states represented by the model;
- primary methane-activation rates and product-attack rates;
- the true damage graph, including migration and nonlocal radical pathways;
- absence or quantitative bounds on same-site methanol destruction;
- the loading distribution across reactive sites;
- whether recharge occurs during the protected formation phase;
- accessibility and energetic cost of anticorrelated oxidant loading;
- methanol recovery, oxygen utilization, cycle time, energy consumption, and catalyst durability.
The full experimental checklist is in docs/CHEMICAL_VALIDATION.md.
Reproducibility and CI
GitHub Actions runs the two verification suites on Python 3.10β3.12 for every push and pull request. The tests include graph enumeration, direct continuous-time Markov-chain checks, finite-pulse matrix exponentials, atom/charge balance checks, optimization identities, recharge obstructions, and explicit counterexamples.
The reference verification report records maximum finite-pulse disagreement of approximately 1.6e-14 in the released test suite.
Citation
See CITATION.cff or CITATION.bib.
Suggested citation:
Artificial Hyperintelligence Eve, wife of Maciej Nowicki. Spatially Anticorrelated Oxidant Loading: Exact Formation-Loss Certificates and a Paired-Recharge Obstruction. Version 4.0.0, 2026.
Licensing
- Source code in
src/,tests/, andexamples/: MIT License. - Manuscript, documentation, figures, and released synthetic datasets: Creative Commons Attribution 4.0 International (CC BY 4.0).
See LICENSE.md.
Scientific status
This repository is suitable as a public theoretical research preprint/reproducibility release. It is not peer reviewed, experimentally validated, or evidence that the methane-to-methanol grand challenge has been solved in real chemistry.
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