Pith Number
pith:2QKSUBC7
pith:2025:2QKSUBC7XZGEDGACSSQIKJZ3EF
not attested
not anchored
not stored
refs pending
Muti-Fidelity Prediction and Uncertainty Quantification with Laplace Neural Operators for Parametric Partial Differential Equations
arxiv:2502.00550 v1 · 2025-02-01 · cs.LG · cs.NA · math.NA · physics.comp-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2QKSUBC7XZGEDGACSSQIKJZ3EF}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T10:08:35.255234Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d4152a045fbe4c41980294a085273b215ec4e9b1509fb8ce816e20d8f8c60d99
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2QKSUBC7XZGEDGACSSQIKJZ3EF \
| 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: d4152a045fbe4c41980294a085273b215ec4e9b1509fb8ce816e20d8f8c60d99
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "19472c7682e2c5146e3e1b17d37a2b8d9469e764aa3dd7f968a62254d6e5c3b7",
"cross_cats_sorted": [
"cs.NA",
"math.NA",
"physics.comp-ph"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-02-01T20:38:50Z",
"title_canon_sha256": "c584fcf758066eaa0f383a53e792f7e38f153a38d6328ab4fde1c8bdffd6e14c"
},
"schema_version": "1.0",
"source": {
"id": "2502.00550",
"kind": "arxiv",
"version": 1
}
}