Pith Number
pith:OI2MFS3U
pith:2022:OI2MFS3US5G5R3DPGLKJF4JIXP
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not stored
refs pending
Efficient prediction of turbulent flow quantities using a Bayesian hierarchical multifidelity model
arxiv:2210.14790 v1 · 2022-10-26 · physics.flu-dyn
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OI2MFS3US5G5R3DPGLKJF4JIXP}
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 | 2026-07-05T06:20:20.578064Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7234c2cb74974dd8ec6f32d492f128bbe2fd24091f7f844be90f805d391472cf
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OI2MFS3US5G5R3DPGLKJF4JIXP \
| 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: 7234c2cb74974dd8ec6f32d492f128bbe2fd24091f7f844be90f805d391472cf
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "98bce10322bf06f67b982403edad714c8005d7cdfb83fb93509f2ff4ff163a28",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "physics.flu-dyn",
"submitted_at": "2022-10-26T15:37:39Z",
"title_canon_sha256": "60faaf7094e8bda9ea8bf90155ca79ea79f46ac94269a54ae042b37252de291e"
},
"schema_version": "1.0",
"source": {
"id": "2210.14790",
"kind": "arxiv",
"version": 1
}
}