Pith Number
pith:J6B5TU7O
pith:2023:J6B5TU7OQM7CJ37PQZBTAXLPEM
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A Machine Learning Approach to Long-Term Drought Prediction using Normalized Difference Indices Computed on a Spatiotemporal Dataset
arxiv:2302.02440 v2 · 2023-02-05 · eess.IV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{J6B5TU7OQM7CJ37PQZBTAXLPEM}
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Record completeness
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Bitcoin timestamp
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4
Citations
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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 | 2026-07-05T06:16:15.658040Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4f83d9d3ee833e24efef8643305d6f231f6a22e926b18a43c938b04f3cd04918
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/J6B5TU7OQM7CJ37PQZBTAXLPEM \
| 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: 4f83d9d3ee833e24efef8643305d6f231f6a22e926b18a43c938b04f3cd04918
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "00db822a2bf7aa830a50cc9fcfe23e7725fcf666f88df23a18ad35ffa6c83f6c",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2023-02-05T17:41:46Z",
"title_canon_sha256": "51ed11ce878db3476a04930215eff878e3d69f5bbf9f3f3f8916caeb6a4e7b8d"
},
"schema_version": "1.0",
"source": {
"id": "2302.02440",
"kind": "arxiv",
"version": 2
}
}