Pith Number
pith:LYGU5RLX
pith:2025:LYGU5RLXAF5Y4DVQJH7ZBPLQRR
not attested
not anchored
not stored
refs pending
Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach
arxiv:2507.10014 v1 · 2025-07-14 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LYGU5RLXAF5Y4DVQJH7ZBPLQRR}
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.
Receipt and verification
| First computed | 2026-07-05T11:36:43.709252Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5e0d4ec577017b8e0eb049ff90bd708c4d3c751851e7a825cba66c91b6c3619f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LYGU5RLXAF5Y4DVQJH7ZBPLQRR \
| 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: 5e0d4ec577017b8e0eb049ff90bd708c4d3c751851e7a825cba66c91b6c3619f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f7fb49747dca70a4554fd23d317c53db245008984ec2e6ed1e1ec08ff0a85c6a",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-07-14T07:50:25Z",
"title_canon_sha256": "1483586b32771a2a7ecadbc3591abebcfb122ed47a319b4e90e2091c258b7715"
},
"schema_version": "1.0",
"source": {
"id": "2507.10014",
"kind": "arxiv",
"version": 1
}
}