Pith Number
pith:V2WXSCHD
pith:2022:V2WXSCHDO7UT2W5B7WF4IWPLH7
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refs pending
Sky-image-based solar forecasting using deep learning with multi-location data: training models locally, globally or via transfer learning?
arxiv:2211.02108 v2 · 2022-11-03 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{V2WXSCHDO7UT2W5B7WF4IWPLH7}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-07-05T05:22:12.158779Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
aead7908e377e93d5ba1fd8bc459eb3fe94b8cb7cd4b4ed33c1fff1e03560590
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/V2WXSCHDO7UT2W5B7WF4IWPLH7 \
| 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: aead7908e377e93d5ba1fd8bc459eb3fe94b8cb7cd4b4ed33c1fff1e03560590
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "738b0c478d6cd68d80b765df0fb93520da490093a37d057d5235aa2641ec43ba",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-11-03T19:25:28Z",
"title_canon_sha256": "1ace297d2adf32e23cb711a4b46f35f2e3caa9382c2fa2404bf6c27d1e355486"
},
"schema_version": "1.0",
"source": {
"id": "2211.02108",
"kind": "arxiv",
"version": 2
}
}