Pith Number
pith:H3WJVHK4
pith:2018:H3WJVHK4OGT7QVX7H7TEVRWBEV
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not stored
refs pending
An artificial neural network framework for reduced order modeling of transient flows
arxiv:1802.09474 v2 · 2018-02-26 · physics.flu-dyn · physics.comp-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{H3WJVHK4OGT7QVX7H7TEVRWBEV}
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.
Receipt and verification
| First computed | 2026-05-17T23:42:30.804630Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3eec9a9d5c71a7f856ff3fe64ac6c12551462205c4dd8d0491cf6d74aa10e366
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/H3WJVHK4OGT7QVX7H7TEVRWBEV \
| 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: 3eec9a9d5c71a7f856ff3fe64ac6c12551462205c4dd8d0491cf6d74aa10e366
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "dd662864312d94a8df7f73e4fd684059e2bf614562bc5b2a1e4fe893cf2c2489",
"cross_cats_sorted": [
"physics.comp-ph"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.flu-dyn",
"submitted_at": "2018-02-26T17:42:24Z",
"title_canon_sha256": "787e1a988345099af2f923478c85c9216944b1fccd05eecb40d8a9b92c34f6e3"
},
"schema_version": "1.0",
"source": {
"id": "1802.09474",
"kind": "arxiv",
"version": 2
}
}