Pith Number
pith:TJ3NJYSE
pith:2023:TJ3NJYSEDC2V53OPGHJ7JIIHX6
not attested
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not stored
refs pending
Deep Learning Techniques in Extreme Weather Events: A Review
arxiv:2308.10995 v1 · 2023-08-18 · physics.ao-ph · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TJ3NJYSEDC2V53OPGHJ7JIIHX6}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T06:43:28.117291Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9a76d4e24418b55eedcf31d3f4a107bfb82656f04b423ecca9c4d602fc7bda36
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TJ3NJYSEDC2V53OPGHJ7JIIHX6 \
| 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: 9a76d4e24418b55eedcf31d3f4a107bfb82656f04b423ecca9c4d602fc7bda36
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "68a12cd3be24952c87a3dc283afd0e426aa6e3ba5a35d75f646d4fcb9efdefe0",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "physics.ao-ph",
"submitted_at": "2023-08-18T08:15:21Z",
"title_canon_sha256": "d1b1afbf63efd2d44a0b49220e8d83c20c857db5a21a10a8696681f0c03b922b"
},
"schema_version": "1.0",
"source": {
"id": "2308.10995",
"kind": "arxiv",
"version": 1
}
}