Pith Number
pith:ME5F6S2D
pith:2023:ME5F6S2DP4HHCQLVRUDPYSMTNC
not attested
not anchored
not stored
refs pending
A scalable approach for short-term disease forecasting in high spatial resolution areal data
arxiv:2303.16549 v1 · 2023-03-29 · stat.ME · stat.CO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ME5F6S2DP4HHCQLVRUDPYSMTNC}
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 | 2026-07-05T07:07:08.219278Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
613a5f4b437f0e7141758d06fc49936892c26eab0c8ea62ffa0e1f2b91525450
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ME5F6S2DP4HHCQLVRUDPYSMTNC \
| 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: 613a5f4b437f0e7141758d06fc49936892c26eab0c8ea62ffa0e1f2b91525450
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "173caf145ad3f34f294cba8276399e3135b07d7fc5412e12e2014806cb20d9a6",
"cross_cats_sorted": [
"stat.CO"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ME",
"submitted_at": "2023-03-29T09:14:41Z",
"title_canon_sha256": "b41b46a837a7565a30341c475c4ac07ff0f906954e29b12e20cf20d1935117ce"
},
"schema_version": "1.0",
"source": {
"id": "2303.16549",
"kind": "arxiv",
"version": 1
}
}