Pith Number
pith:4Q5GFJNL
pith:2023:4Q5GFJNL5PKNDS7CSRIEQ7X3Q2
not attested
not anchored
not stored
refs pending
Predicting COVID-19 pandemic by spatio-temporal graph neural networks: A New Zealand's study
arxiv:2305.07731 v1 · 2023-05-12 · cs.LG · physics.soc-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4Q5GFJNL5PKNDS7CSRIEQ7X3Q2}
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 | 2026-07-05T06:10:11.839928Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e43a62a5abebd4d1cbe29450487efb869e5b3a1141183c925858922a5b3627df
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4Q5GFJNL5PKNDS7CSRIEQ7X3Q2 \
| 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: e43a62a5abebd4d1cbe29450487efb869e5b3a1141183c925858922a5b3627df
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e52236505fb6442180d2e0f8870d2890f1f5eac4d7ede3e84a269c8e356fa610",
"cross_cats_sorted": [
"physics.soc-ph"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-05-12T19:00:17Z",
"title_canon_sha256": "f93140d46107fea1f2e4ed08eb24b9e20a38c0bf0bca9cf551bd8ae01a8b6f16"
},
"schema_version": "1.0",
"source": {
"id": "2305.07731",
"kind": "arxiv",
"version": 1
}
}