Pith Number
pith:4FGV3V4H
pith:2021:4FGV3V4HELLDQQVVNI536HBYYN
not attested
not anchored
not stored
refs pending
Data-Driven Wind Turbine Wake Modeling via Probabilistic Machine Learning
arxiv:2109.02411 v2 · 2021-09-06 · cs.LG · physics.data-an
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4FGV3V4HELLDQQVVNI536HBYYN}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T03:32:17.022949Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e14d5dd78722d63842b56a3bbf1c38c3696edad15c5a93eca0f00b420652399c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4FGV3V4HELLDQQVVNI536HBYYN \
| 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: e14d5dd78722d63842b56a3bbf1c38c3696edad15c5a93eca0f00b420652399c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "492f48c1e63216635003d7024f80d6e501e5a7ecc153427a611f7adb919f8963",
"cross_cats_sorted": [
"physics.data-an"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-09-06T14:46:20Z",
"title_canon_sha256": "3a5ace3a2ee4d6bc5cde0e318efde7cddc94d08a8466e6883fac3634d5edb60a"
},
"schema_version": "1.0",
"source": {
"id": "2109.02411",
"kind": "arxiv",
"version": 2
}
}