Pith Number
pith:NIRZICBG
pith:2022:NIRZICBGJDBHJKG6PDD5DDKB7D
not attested
not anchored
not stored
refs pending
A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecasts
arxiv:2204.02028 v2 · 2022-04-05 · physics.ao-ph · cs.AI · cs.CV · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NIRZICBGJDBHJKG6PDD5DDKB7D}
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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 | 2026-07-05T05:14:13.106162Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6a2394082648c274a8de78c7d18d41f8f526406f9c75ec68c7942e3f3e1e1f64
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NIRZICBGJDBHJKG6PDD5DDKB7D \
| 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: 6a2394082648c274a8de78c7d18d41f8f526406f9c75ec68c7942e3f3e1e1f64
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8b5d82933b9a940fbf37a0bec6602c1866fdae531694fb3d4b5da8252e8c7d4f",
"cross_cats_sorted": [
"cs.AI",
"cs.CV",
"cs.LG",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.ao-ph",
"submitted_at": "2022-04-05T07:19:42Z",
"title_canon_sha256": "17837cb4134dad3d2a83bda5c85afe1918d467e4dc7dfee1fcf5b6e85ec78688"
},
"schema_version": "1.0",
"source": {
"id": "2204.02028",
"kind": "arxiv",
"version": 2
}
}