Pith Number
pith:H6SMHERR
pith:2024:H6SMHERRTDX2WHRWOIPU75AJPJ
not attested
not anchored
not stored
refs pending
LESnets (Large-Eddy Simulation nets): Physics-informed neural operator for large-eddy simulation of turbulence
arxiv:2411.04502 v3 · 2024-11-07 · physics.flu-dyn
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{H6SMHERRTDX2WHRWOIPU75AJPJ}
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 | 2026-07-05T10:46:21.360667Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3fa4c3923198efab1e36721f4ff4097a70e1f25725773e5395ab808186213c8b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/H6SMHERRTDX2WHRWOIPU75AJPJ \
| 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: 3fa4c3923198efab1e36721f4ff4097a70e1f25725773e5395ab808186213c8b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1134f65f6017343738f3a3313dd15735c26881f21b4faf46aa90ad58e843f13f",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.flu-dyn",
"submitted_at": "2024-11-07T07:53:01Z",
"title_canon_sha256": "776528cb1cb6b3c83ab976fc06e1fc66230dc311a3e79e6c20ad0324f7f2fe94"
},
"schema_version": "1.0",
"source": {
"id": "2411.04502",
"kind": "arxiv",
"version": 3
}
}