Pith Number
pith:33TY7QGI
pith:2025:33TY7QGIIWPNYD5BKP4M6OXYP5
not attested
not anchored
not stored
refs pending
Bayesian Deep Learning for Convective Initiation Nowcasting Uncertainty Estimation
arxiv:2507.16219 v1 · 2025-07-22 · physics.ao-ph · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{33TY7QGIIWPNYD5BKP4M6OXYP5}
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 | 2026-07-05T11:41:05.617303Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
dee78fc0c8459edc0fa153f8cf3af87f46ff22116411a7f29f3e9a31aaee1351
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/33TY7QGIIWPNYD5BKP4M6OXYP5 \
| 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: dee78fc0c8459edc0fa153f8cf3af87f46ff22116411a7f29f3e9a31aaee1351
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8be72e44b622529e7ab7327c640d91b460bd50c808c816c71ece4f29d579947b",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "physics.ao-ph",
"submitted_at": "2025-07-22T04:29:53Z",
"title_canon_sha256": "3fe2993d8bbd5f298dd9098b7bc879fb0b94e346ffdf59080a6010ae2aaf2a5b"
},
"schema_version": "1.0",
"source": {
"id": "2507.16219",
"kind": "arxiv",
"version": 1
}
}