Pith Number
pith:4GVQHPB2
pith:2026:4GVQHPB2E2P6YMJYURIUAGGQBT
not attested
not anchored
not stored
refs pending
Error Growth Dynamic and Predictability of Tropical Cyclone in Machine Learning Weather Prediction Model
arxiv:2603.26165 v1 · 2026-03-27 · physics.ao-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4GVQHPB2E2P6YMJYURIUAGGQBT}
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 | 2026-07-28T01:22:32.209248Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e1ab03bc3a269fec3138a4514018d00ce7d0f1a2fa16417401467ed07c5b24b2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4GVQHPB2E2P6YMJYURIUAGGQBT \
| 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: e1ab03bc3a269fec3138a4514018d00ce7d0f1a2fa16417401467ed07c5b24b2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a56ac3b2b24314580e27526a9cdab986ffdf279f0a565580a1836570c4b2de31",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.ao-ph",
"submitted_at": "2026-03-27T08:32:37Z",
"title_canon_sha256": "a623015c05ae07ad486575ae3501dcea9b8c219161ee15ea357ec8ebc58e2dae"
},
"schema_version": "1.0",
"source": {
"id": "2603.26165",
"kind": "arxiv",
"version": 1
}
}