Pith Number
pith:UZA66GB3
pith:2018:UZA66GB32HSY6352HERGFPDJ7B
not attested
not anchored
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refs pending
A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks
arxiv:1804.09269 v1 · 2018-04-24 · physics.comp-ph · physics.flu-dyn
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UZA66GB32HSY6352HERGFPDJ7B}
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Record completeness
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Bitcoin timestamp
2
Internet Archive
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4
Citations
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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 | 2026-05-18T00:17:32.322518Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a641ef183bd1e58f6fba392262bc69f85da711e2f1b4e96d9b8c9a5f6133e444
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UZA66GB32HSY6352HERGFPDJ7B \
| 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: a641ef183bd1e58f6fba392262bc69f85da711e2f1b4e96d9b8c9a5f6133e444
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b2f1725e1dc3d28eadf41b190fb6a4ca31e94427489d4dca9c39e356af7a829c",
"cross_cats_sorted": [
"physics.flu-dyn"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.comp-ph",
"submitted_at": "2018-04-24T21:48:22Z",
"title_canon_sha256": "d01985e220af54911816fadbc00188252abbde58e9d16d344404f27dbb7db9ce"
},
"schema_version": "1.0",
"source": {
"id": "1804.09269",
"kind": "arxiv",
"version": 1
}
}