Pith Number
pith:EXQWORWF
pith:2018:EXQWORWF3656ASDD64GKV425K4
not attested
not anchored
not stored
refs pending
Scene Learning: Deep Convolutional Networks For Wind Power Prediction by Embedding Turbines into Grid Space
arxiv:1807.05666 v2 · 2018-07-16 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EXQWORWF3656ASDD64GKV425K4}
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 | 2026-05-18T00:10:27.546670Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
25e16746c5dfbbe04863f70caaf35d57250bd9cd31d80de55b8707067c77d276
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EXQWORWF3656ASDD64GKV425K4 \
| 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: 25e16746c5dfbbe04863f70caaf35d57250bd9cd31d80de55b8707067c77d276
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "094dba7242379cf575d20596677ff13af9d792311288b640cc573d292b784f24",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-07-16T03:27:18Z",
"title_canon_sha256": "37e569adcbfd57b5eb75f2f0c5b3c1cd6ed2896bbd2a3ac16618da64aab427d5"
},
"schema_version": "1.0",
"source": {
"id": "1807.05666",
"kind": "arxiv",
"version": 2
}
}