Pith Number
pith:KWP7QYA2
pith:2023:KWP7QYA23V3L6N7PTKRKO6WSM4
not attested
not anchored
not stored
refs pending
Signal-to-noise improvement through neural network contour deformations for 3D $SU(2)$ lattice gauge theory
arxiv:2309.00600 v1 · 2023-09-01 · hep-lat
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KWP7QYA23V3L6N7PTKRKO6WSM4}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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claim
4
Citations
5
Replications
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Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Cited by
Receipt and verification
| First computed | 2026-07-05T06:46:59.266975Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
559ff8601add76bf37ef9aa2a77ad267236e7defef89e2871ad5813c4972265b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KWP7QYA23V3L6N7PTKRKO6WSM4 \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 559ff8601add76bf37ef9aa2a77ad267236e7defef89e2871ad5813c4972265b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "329b72fac25b210e68c336d10895bc95924deb4c17092fa990d5143a7a8b4f78",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "hep-lat",
"submitted_at": "2023-09-01T17:42:32Z",
"title_canon_sha256": "989f7a4fc99711ef266c65884e376bd7e59fed7c512ee9de94941e588556b19e"
},
"schema_version": "1.0",
"source": {
"id": "2309.00600",
"kind": "arxiv",
"version": 1
}
}