Pith Number
pith:WAUWXMIA
pith:2024:WAUWXMIABZVQ7QE3SH6YI62M4H
not attested
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not stored
refs pending
Advancing Marine Heatwave Forecasts: An Integrated Deep Learning Approach
arxiv:2412.04475 v1 · 2024-11-19 · physics.ao-ph · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WAUWXMIABZVQ7QE3SH6YI62M4H}
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 | 2026-07-05T09:45:17.968589Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b0296bb1000e6b0fc09b91fd847b4ce1d342dd8eb35c80b0846a85b21f23d6f4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WAUWXMIABZVQ7QE3SH6YI62M4H \
| 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: b0296bb1000e6b0fc09b91fd847b4ce1d342dd8eb35c80b0846a85b21f23d6f4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "90ae0a91d920bf7621d667faafdd1edd147acae75b5261849f7a9eee76f5e556",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "physics.ao-ph",
"submitted_at": "2024-11-19T06:11:52Z",
"title_canon_sha256": "30a401f10a1e10bb5e16d2b5fb0b4620fe0f18eb5d2505acc997609540c542b6"
},
"schema_version": "1.0",
"source": {
"id": "2412.04475",
"kind": "arxiv",
"version": 1
}
}