Pith Number
pith:4ORVP43F
pith:2026:4ORVP43FAA6SO6VYOH4SEZANHR
not attested
not anchored
not stored
refs pending
Exploratory Analysis of Deep Learning Models for Forecasting Meteorological Parameters in the Agricultural Sector
arxiv:2607.10208 v1 · 2026-07-11 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4ORVP43FAA6SO6VYOH4SEZANHR}
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Record completeness
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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 | 2026-07-14T01:20:30.830178Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e3a357f365003d277ab871f922640d3c7b7cf7d4c820847331bedd8697d1239e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4ORVP43FAA6SO6VYOH4SEZANHR \
| 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: e3a357f365003d277ab871f922640d3c7b7cf7d4c820847331bedd8697d1239e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "655349a746623e5b89c6ed36cf3dda2c60df643779d77f013d1ad5ba8603c9ee",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-07-11T08:39:20Z",
"title_canon_sha256": "33bdb03a3deb2b56a993616f4a7f4ac7a8e431f7bbdf44bb996e8230fa53fd4e"
},
"schema_version": "1.0",
"source": {
"id": "2607.10208",
"kind": "arxiv",
"version": 1
}
}