Pith Number
pith:EEUUK4N4
pith:2025:EEUUK4N4OYQXZEMR5QHZA3MFHN
not attested
not anchored
not stored
refs pending
Applying Ensemble Models based on Graph Neural Network and Reinforcement Learning for Wind Power Forecasting
arxiv:2501.16591 v1 · 2025-01-28 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EEUUK4N4OYQXZEMR5QHZA3MFHN}
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 | 2026-07-05T10:06:15.554347Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
21294571bc76217c9191ec0f906d853b52fe1194a671f6e6eb5e35668cd1d078
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EEUUK4N4OYQXZEMR5QHZA3MFHN \
| 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: 21294571bc76217c9191ec0f906d853b52fe1194a671f6e6eb5e35668cd1d078
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "65f29ac902b0baef8fa2bce9e7b4ef5d3f05bb579d412e614a06c15f50d23fd9",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-01-28T00:12:26Z",
"title_canon_sha256": "603a4f75b36c459277bf3c300d7b93fed3b2acf04fb620c416a91bc3a62e4e2a"
},
"schema_version": "1.0",
"source": {
"id": "2501.16591",
"kind": "arxiv",
"version": 1
}
}