Pith Number
pith:XO46PKKR
pith:2025:XO46PKKRDH3JDKOOGQU7XUKPFT
not attested
not anchored
not stored
refs pending
Enhancing Physics-Informed Neural Networks with a Hybrid Parallel Kolmogorov-Arnold and MLP Architecture
arxiv:2503.23289 v1 · 2025-03-30 · cs.LG · cs.DC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XO46PKKRDH3JDKOOGQU7XUKPFT}
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 | 2026-07-05T10:41:33.654512Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bbb9e7a95119f691a9ce3429fbd14f2ce246745383cafac2a9d802a60a805a94
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XO46PKKRDH3JDKOOGQU7XUKPFT \
| 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: bbb9e7a95119f691a9ce3429fbd14f2ce246745383cafac2a9d802a60a805a94
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2055194b8d6a101fc2e0c6e72b8110c5555b8fc5d7d7b465504c8c590686bd6c",
"cross_cats_sorted": [
"cs.DC"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-03-30T02:59:32Z",
"title_canon_sha256": "3c4e1e0003f485fcc8883c5c24fa5e7b0af6fbc8038e5fa9ddae879919883800"
},
"schema_version": "1.0",
"source": {
"id": "2503.23289",
"kind": "arxiv",
"version": 1
}
}