Pith Number
pith:6BBE3QMM
pith:2019:6BBE3QMMJKF7VTNB6JMH3QMQPW
not attested
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not stored
refs pending
Surrogate Modeling for Fluid Flows Based on Physics-Constrained Deep Learning Without Simulation Data
arxiv:1906.02382 v2 · 2019-06-06 · physics.comp-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6BBE3QMMJKF7VTNB6JMH3QMQPW}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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claim
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T02:59:51.905747Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f0424dc18c4a8bfacda1f2587dc1907d957ff12b7d0a6593474d3aaa3ff57256
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6BBE3QMMJKF7VTNB6JMH3QMQPW \
| 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: f0424dc18c4a8bfacda1f2587dc1907d957ff12b7d0a6593474d3aaa3ff57256
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a013cabfec07cbdf40c1876e462e57c615f46dc04f27082089a9f96f96d049ce",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.comp-ph",
"submitted_at": "2019-06-06T02:10:50Z",
"title_canon_sha256": "66192e12fed4aa8cc5f1da23d13e2e234920d7226d44faf46a735b01da88167f"
},
"schema_version": "1.0",
"source": {
"id": "1906.02382",
"kind": "arxiv",
"version": 2
}
}