Pith Number
pith:K7A4NMQH
pith:2023:K7A4NMQHINBLS3UFIBJFF4HS7N
not attested
not anchored
not stored
refs pending
Graph-based Neural Weather Prediction for Limited Area Modeling
arxiv:2309.17370 v2 · 2023-09-29 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{K7A4NMQHINBLS3UFIBJFF4HS7N}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T07:12:53.892273Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
57c1c6b2074342b96e85405252f0f2fb7c0067c7811481d2172fe82cc0c970d8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/K7A4NMQHINBLS3UFIBJFF4HS7N \
| 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: 57c1c6b2074342b96e85405252f0f2fb7c0067c7811481d2172fe82cc0c970d8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6da1a79fd144a521f45c900404f8922d6664d503d0882cb220e97ebbd25ba1f3",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-09-29T16:20:34Z",
"title_canon_sha256": "2c81b389712215a9f2e9d84b8106d76ccd2cc08c3a15ae7aac87cebff470b903"
},
"schema_version": "1.0",
"source": {
"id": "2309.17370",
"kind": "arxiv",
"version": 2
}
}