Pith Number
pith:3IMDOLFP
pith:2026:3IMDOLFPK4EDRWHPEUDR5JGBJO
not attested
not anchored
not stored
refs pending
Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts
arxiv:2605.30184 v1 · 2026-05-28 · cs.LG · physics.ao-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3IMDOLFPK4EDRWHPEUDR5JGBJO}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
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 | 2026-05-29T02:06:12.202144Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
da18372caf570838d8ef25071ea4c14b98767c03d830063ce4403a9926f87e55
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3IMDOLFPK4EDRWHPEUDR5JGBJO \
| 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: da18372caf570838d8ef25071ea4c14b98767c03d830063ce4403a9926f87e55
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e70a617ef031495982496ae5e9d77bce7c7a257bc97a1915469b9a0b21109cfc",
"cross_cats_sorted": [
"physics.ao-ph"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-05-28T16:29:33Z",
"title_canon_sha256": "358749697fcaa398c137633b6599b74c058b37cc5ad5c305870b0d86ad95522c"
},
"schema_version": "1.0",
"source": {
"id": "2605.30184",
"kind": "arxiv",
"version": 1
}
}