Pith Number
pith:OECJPPVC
pith:2023:OECJPPVCWHHJ4LAZ6RP7DAIVEL
not attested
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refs pending
Learning bias corrections for climate models using deep neural operators
arxiv:2302.03173 v1 · 2023-02-07 · physics.ao-ph · cs.AI · physics.comp-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OECJPPVCWHHJ4LAZ6RP7DAIVEL}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T05:39:34.589626Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
710497bea2b1ce9e2c19f45ff1811522ebc51b0d67dcf2cf9cfc4c05881138a1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OECJPPVCWHHJ4LAZ6RP7DAIVEL \
| 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: 710497bea2b1ce9e2c19f45ff1811522ebc51b0d67dcf2cf9cfc4c05881138a1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0dca152bbe8a58a78d3182835a0f8da1e5d593d4e4eb1d08a9ea3bff1314519c",
"cross_cats_sorted": [
"cs.AI",
"physics.comp-ph"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "physics.ao-ph",
"submitted_at": "2023-02-07T00:21:00Z",
"title_canon_sha256": "64298326f56ac1b72b305b94a80db944798bcf90fd8c98f9e3283e07a5039662"
},
"schema_version": "1.0",
"source": {
"id": "2302.03173",
"kind": "arxiv",
"version": 1
}
}