Pith Number
pith:CSRCMOCL
pith:2026:CSRCMOCLMYCKZGUQLQF4RTI2MK
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Probabilistic bias adjustment of seasonal forecasts using generative machine learning: A case study of Arctic sea ice predictions
arxiv:2605.29172 v1 · 2026-05-27 · cs.LG · physics.ao-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CSRCMOCLMYCKZGUQLQF4RTI2MK}
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Record completeness
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Bitcoin timestamp
2
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4
Citations
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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 | 2026-05-29T01:05:22.721098Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
14a226384b6604ac9a905c0bc8cd1a629ff03657e8ea8891abc9b7bc15975dc9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CSRCMOCLMYCKZGUQLQF4RTI2MK \
| 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: 14a226384b6604ac9a905c0bc8cd1a629ff03657e8ea8891abc9b7bc15975dc9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "55714356691e3b2ff737af7dd818f3e451540f5ce3db5b5838e7e277ed5423c4",
"cross_cats_sorted": [
"physics.ao-ph"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-05-27T23:14:46Z",
"title_canon_sha256": "ed28b4493cda5df8f332bb47efb4c05067d4cc4b1110dad21f4f89f2a2b7fccd"
},
"schema_version": "1.0",
"source": {
"id": "2605.29172",
"kind": "arxiv",
"version": 1
}
}