Pith Number
pith:3JO6QMX5
pith:2021:3JO6QMX5K2F5SV7KB7LUWMAEET
not attested
not anchored
not stored
refs pending
Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils
arxiv:2109.02183 v2 · 2021-09-05 · physics.flu-dyn · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3JO6QMX5K2F5SV7KB7LUWMAEET}
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 | 2026-07-05T05:16:31.429034Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
da5de832fd568bd957ea0fd74b300424f86b1bcb6bdab0efdfa053de99e4c110
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3JO6QMX5K2F5SV7KB7LUWMAEET \
| 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: da5de832fd568bd957ea0fd74b300424f86b1bcb6bdab0efdfa053de99e4c110
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "cb7ec3c9a51fe87d29a433e797b6e3e196f09b6c51e6327dbd81762dbe335b35",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.flu-dyn",
"submitted_at": "2021-09-05T23:23:39Z",
"title_canon_sha256": "41b8095f2569d5fd1b69776dd5c63c7d0ad875cb517817f07a1e5613bfc40d1c"
},
"schema_version": "1.0",
"source": {
"id": "2109.02183",
"kind": "arxiv",
"version": 2
}
}