Pith Number
pith:BGTD3GOP
pith:2025:BGTD3GOPLEEPEXBCSQJOLYT533
not attested
not anchored
not stored
refs pending
Hybrid machine learning models based on physical patterns to accelerate CFD simulations: a short guide on autoregressive models
arxiv:2504.06774 v1 · 2025-04-09 · physics.flu-dyn · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BGTD3GOPLEEPEXBCSQJOLYT533}
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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 | 2026-07-05T10:46:45.679591Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
09a63d99cf5908f25c229412e5e27ddee705e82015b88d55b0f4d0ed42449875
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BGTD3GOPLEEPEXBCSQJOLYT533 \
| 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: 09a63d99cf5908f25c229412e5e27ddee705e82015b88d55b0f4d0ed42449875
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4fe797f98e829ba0c1313526d6fd4293ade1875c6f801d7c3ad722d4301a3a98",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "physics.flu-dyn",
"submitted_at": "2025-04-09T10:56:03Z",
"title_canon_sha256": "205b87baacd83cff2771a789c124c96ae92e92c22366abbf898598f3b8eb9657"
},
"schema_version": "1.0",
"source": {
"id": "2504.06774",
"kind": "arxiv",
"version": 1
}
}