Pith Number
pith:SIH4PSYA
pith:2025:SIH4PSYA6TWSPWQFFQ2LFS7MWN
not attested
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not stored
refs pending
Towards scalable surrogate models based on Neural Fields for large scale aerodynamic simulations
arxiv:2505.14704 v1 · 2025-05-14 · physics.flu-dyn · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SIH4PSYA6TWSPWQFFQ2LFS7MWN}
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.
Receipt and verification
| First computed | 2026-07-05T11:06:33.967264Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
920fc7cb00f4ed27da052c34b2cbecb359e01a5e150662f2439049054d5f02b5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SIH4PSYA6TWSPWQFFQ2LFS7MWN \
| 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: 920fc7cb00f4ed27da052c34b2cbecb359e01a5e150662f2439049054d5f02b5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "87db93525bac54dc81d2b68171e895c15703b740a90b7520327245537000cfd0",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "physics.flu-dyn",
"submitted_at": "2025-05-14T10:49:08Z",
"title_canon_sha256": "64ee4e11919abe5d1afcb770f591ca52b6bf22749e9a9890d72f1941226e81e8"
},
"schema_version": "1.0",
"source": {
"id": "2505.14704",
"kind": "arxiv",
"version": 1
}
}