Pith Number
pith:FCGVHHWN
pith:2025:FCGVHHWNI7R7FTXJTYJGQ3EKNZ
not attested
not anchored
not stored
refs pending
AirCANS: CFD 2D Mesh Optimisation-based Airfoil Classification and Assessment using Neural Networks
arxiv:2506.22662 v1 · 2025-06-27 · physics.comp-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FCGVHHWNI7R7FTXJTYJGQ3EKNZ}
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Record completeness
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Bitcoin timestamp
2
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4
Citations
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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 | 2026-07-05T11:28:42.751606Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
288d539ecd47e3f2cee99e12686c8a6e4307a7e0fcd8f9d30034a1b52d1299e7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FCGVHHWNI7R7FTXJTYJGQ3EKNZ \
| 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: 288d539ecd47e3f2cee99e12686c8a6e4307a7e0fcd8f9d30034a1b52d1299e7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2a19f0135cb8550a028a15ca0dbbf053b9a4a0ba767b91e6ae946973691ed470",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.comp-ph",
"submitted_at": "2025-06-27T22:07:54Z",
"title_canon_sha256": "4360e3dba818709f292795083c634a0fae3e2141472617f8ad1dad33d969db8c"
},
"schema_version": "1.0",
"source": {
"id": "2506.22662",
"kind": "arxiv",
"version": 1
}
}