Pith Number
pith:55WSPCRC
pith:2019:55WSPCRCH5JBBCPYUUMPROSTHG
not attested
not anchored
not stored
refs pending
Forecasting Drought Using Multilayer Perceptron Artificial Neural Network Model
arxiv:1904.11576 v1 · 2019-04-17 · physics.ao-ph · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{55WSPCRCH5JBBCPYUUMPROSTHG}
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 | 2026-05-17T23:47:43.339000Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ef6d278a223f521089f8a518f8ba53399aa1df06fe01b544264f63015e453c08
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/55WSPCRCH5JBBCPYUUMPROSTHG \
| 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: ef6d278a223f521089f8a518f8ba53399aa1df06fe01b544264f63015e453c08
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9364abcf5271c968ae7598125b78bde57e39f3421bec5996a55f942b4b2f83c3",
"cross_cats_sorted": [
"cs.LG",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.ao-ph",
"submitted_at": "2019-04-17T08:25:02Z",
"title_canon_sha256": "234a51746e33afbc5e7533db818184acb9d6c7ad93a1641704d64c978cb1b756"
},
"schema_version": "1.0",
"source": {
"id": "1904.11576",
"kind": "arxiv",
"version": 1
}
}