Pith Number
pith:TOO3GPE3
pith:2018:TOO3GPE3KYKQHLCR3E6OCMMNDQ
not attested
not anchored
not stored
refs pending
A Learning Based Approach for Uncertainty Analysis in Numerical Weather Prediction Models
arxiv:1802.08055 v1 · 2018-02-20 · cs.NA · physics.ao-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TOO3GPE3KYKQHLCR3E6OCMMNDQ}
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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 | 2026-05-18T00:22:45.688744Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9b9db33c9b561503ac51d93ce1318d1c0cd2eefc7b80c4e073b905f3e04961af
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TOO3GPE3KYKQHLCR3E6OCMMNDQ \
| 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: 9b9db33c9b561503ac51d93ce1318d1c0cd2eefc7b80c4e073b905f3e04961af
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "65872c2d1fa2d434aee968db19ceeea5457dac85bfcfb80792d770fc5c839ba9",
"cross_cats_sorted": [
"physics.ao-ph"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.NA",
"submitted_at": "2018-02-20T09:11:30Z",
"title_canon_sha256": "5d8ca7ba0d1d1fc89216d7c885fbba57de6ce0a6c557c8a2dd4ef7896b78012c"
},
"schema_version": "1.0",
"source": {
"id": "1802.08055",
"kind": "arxiv",
"version": 1
}
}