Pith Number
pith:O6DVWA5A
pith:2019:O6DVWA5AZRKUJ2RT4I2YILATF7
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not anchored
not stored
refs pending
A mixed model approach to drought prediction using artificial neural networks: Case of an operational drought monitoring environment
arxiv:1901.04927 v1 · 2019-01-10 · stat.AP · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{O6DVWA5AZRKUJ2RT4I2YILATF7}
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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 | 2026-05-17T23:56:21.231849Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
77875b03a0cc5544ea33e235842c132fdd4fdbec412443c4db002205641e5a81
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/O6DVWA5AZRKUJ2RT4I2YILATF7 \
| 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: 77875b03a0cc5544ea33e235842c132fdd4fdbec412443c4db002205641e5a81
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a86d21c5ab528aec2281728b28e724254cd0eee5c5ae70df4517d912665a69e2",
"cross_cats_sorted": [
"cs.LG",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.AP",
"submitted_at": "2019-01-10T20:16:56Z",
"title_canon_sha256": "cfb1a227880f4d395fcfccc3e1eb767ceb36081d50ed86665917bb136c0ef204"
},
"schema_version": "1.0",
"source": {
"id": "1901.04927",
"kind": "arxiv",
"version": 1
}
}