Pith Number
pith:HDZWZE5V
pith:2025:HDZWZE5V6MLFRFGFWLNYKBHYDO
not attested
not anchored
not stored
refs pending
Predicting Air Pollution in Cork, Ireland Using Machine Learning
arxiv:2507.04196 v2 · 2025-07-06 · cs.LG · stat.AP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HDZWZE5V6MLFRFGFWLNYKBHYDO}
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 | 2026-07-05T11:35:36.203524Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
38f36c93b5f3165894c5b2db8504f81bbfcc4ed2f607fb0f88de9f95d1d95501
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HDZWZE5V6MLFRFGFWLNYKBHYDO \
| 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: 38f36c93b5f3165894c5b2db8504f81bbfcc4ed2f607fb0f88de9f95d1d95501
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6e4d2b124909569b48ea4c77cca8b33bc6d89b9548461475a93d042c8f013e0b",
"cross_cats_sorted": [
"stat.AP"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-07-06T00:11:11Z",
"title_canon_sha256": "b681a7951163f97109e8f769d5e7b1393a694a4b8fa0828a5c7143a1e4193789"
},
"schema_version": "1.0",
"source": {
"id": "2507.04196",
"kind": "arxiv",
"version": 2
}
}