Pith Number
pith:UH7DMWTO
pith:2021:UH7DMWTOWE7JHZZF4FMLSRHUWW
not attested
not anchored
not stored
refs pending
Multi-Task Learning based Convolutional Models with Curriculum Learning for the Anisotropic Reynolds Stress Tensor in Turbulent Duct Flow
arxiv:2111.00328 v2 · 2021-10-30 · physics.flu-dyn · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UH7DMWTOWE7JHZZF4FMLSRHUWW}
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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.
Receipt and verification
| First computed | 2026-07-05T03:53:09.291802Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a1fe365a6eb13e93e725e158b944f4b583750160a22eec314e2b8b76d2157188
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UH7DMWTOWE7JHZZF4FMLSRHUWW \
| 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: a1fe365a6eb13e93e725e158b944f4b583750160a22eec314e2b8b76d2157188
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "08dabb70e640b131b6ad94ec9652b32c8f66f6573179945a24e75a8e9d03d7f8",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "physics.flu-dyn",
"submitted_at": "2021-10-30T20:41:28Z",
"title_canon_sha256": "77610df1ac044fe7f40a45443c028c8f0d97c5898a118e4d794e9f154cb6a2ed"
},
"schema_version": "1.0",
"source": {
"id": "2111.00328",
"kind": "arxiv",
"version": 2
}
}