Pith Number
pith:N5CFNXN3
pith:2022:N5CFNXN3DYZCF2B4P4HDDWEIOJ
not attested
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not stored
refs pending
A Bayesian Deep Learning Technique for Multi-Step Ahead Solar Generation Forecasting
arxiv:2203.11379 v1 · 2022-03-21 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{N5CFNXN3DYZCF2B4P4HDDWEIOJ}
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 | 2026-07-05T04:07:11.481990Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6f4456ddbb1e3222e83c7f0e31d8887278b887bacd3c9f8913b008374a3e2627
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/N5CFNXN3DYZCF2B4P4HDDWEIOJ \
| 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: 6f4456ddbb1e3222e83c7f0e31d8887278b887bacd3c9f8913b008374a3e2627
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "12fbd2fb7fb3e241982ab578c2d09f2d9e6c89433c8ca52bfc261d85db35998f",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-03-21T22:53:05Z",
"title_canon_sha256": "b8c7732629107a99a310491b926b8c20b899d27ef3bfa96230e90348042b399a"
},
"schema_version": "1.0",
"source": {
"id": "2203.11379",
"kind": "arxiv",
"version": 1
}
}