Pith Number
pith:UC32DLDC
pith:2024:UC32DLDCZBPWG6XPAQ2JODB7WE
not attested
not anchored
not stored
refs pending
Distributed solar generation forecasting using attention-based deep neural networks for cloud movement prediction
arxiv:2411.10921 v1 · 2024-11-17 · cs.LG · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UC32DLDCZBPWG6XPAQ2JODB7WE}
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 | 2026-07-05T09:36:24.957407Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a0b7a1ac62c85f637aef0434970c3fb12bf62900013d6b828e3f52a3b212bff3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UC32DLDCZBPWG6XPAQ2JODB7WE \
| 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: a0b7a1ac62c85f637aef0434970c3fb12bf62900013d6b828e3f52a3b212bff3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "90cf4313d2a4d7f26609aa9264150168f45671eb588261063014f9e83ccf8930",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-11-17T00:37:35Z",
"title_canon_sha256": "528f4b53a352b620afd1da81c9d9435ea8444843922ded2d7517f93ec1378dba"
},
"schema_version": "1.0",
"source": {
"id": "2411.10921",
"kind": "arxiv",
"version": 1
}
}