Pith Number
pith:K5RBQS5A
pith:2023:K5RBQS5ARE6UTZP3727I32JMMZ
not attested
not anchored
not stored
refs pending
Multi-fidelity Deep Learning-based methodology for epistemic uncertainty quantification of turbulence models
arxiv:2310.14331 v1 · 2023-10-22 · physics.flu-dyn
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{K5RBQS5ARE6UTZP3727I32JMMZ}
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
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Author claim
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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.
Receipt and verification
| First computed | 2026-07-05T07:03:42.887785Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5762184ba0893d49e5fbfebe8de92c664b9f1e80aa0618bea9cd29fe1ea20273
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/K5RBQS5ARE6UTZP3727I32JMMZ \
| 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: 5762184ba0893d49e5fbfebe8de92c664b9f1e80aa0618bea9cd29fe1ea20273
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "81145b67d3c852a947402b7982689983749555227c4c1476d25c6117bfb31a2e",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.flu-dyn",
"submitted_at": "2023-10-22T15:29:23Z",
"title_canon_sha256": "eb480f1dcf3ed50de8611211ffab9afab0ebba9556289ed7ab8aca5d5e22c375"
},
"schema_version": "1.0",
"source": {
"id": "2310.14331",
"kind": "arxiv",
"version": 1
}
}