Pith Number
pith:BQV336JG
pith:2022:BQV336JGY62W5JMYIKJG5RWBMD
not attested
not anchored
not stored
refs pending
A Deep Learning Approach to Probabilistic Forecasting of Weather
arxiv:2203.12529 v2 · 2022-03-23 · stat.ML · cs.LG · physics.ao-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BQV336JGY62W5JMYIKJG5RWBMD}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-07-05T04:08:29.764160Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0c2bbdf926c7b56ea59842926ec6c160c621c3897209a343173911c0eadcbd5f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BQV336JGY62W5JMYIKJG5RWBMD \
| 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: 0c2bbdf926c7b56ea59842926ec6c160c621c3897209a343173911c0eadcbd5f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "017a13fc18fd904cdd4ae8cd962f0a3a9a0a04e0636d1f58a7675bfa78502035",
"cross_cats_sorted": [
"cs.LG",
"physics.ao-ph"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ML",
"submitted_at": "2022-03-23T16:43:07Z",
"title_canon_sha256": "0e989b85145e138cc33a6d59226257b3e31b7fec52da9ac06eb68cdbf4fdad41"
},
"schema_version": "1.0",
"source": {
"id": "2203.12529",
"kind": "arxiv",
"version": 2
}
}