Pith Number
pith:3ZLQ7F7T
pith:2026:3ZLQ7F7TXMJSJDM3LETPXGWDGL
not attested
not anchored
not stored
refs pending
Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis
arxiv:2607.17024 v1 · 2026-07-19 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3ZLQ7F7TXMJSJDM3LETPXGWDGL}
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 | 2026-07-21T01:21:11.108255Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
de570f97f3bb13248d9b5926fb9ac332c468733d6af1df97b7a3e84f547be62f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3ZLQ7F7TXMJSJDM3LETPXGWDGL \
| 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: de570f97f3bb13248d9b5926fb9ac332c468733d6af1df97b7a3e84f547be62f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0f4d678fc6eb76766896cec4b628ec8973894868384f9263ccaf002bd763a3d0",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-07-19T01:36:30Z",
"title_canon_sha256": "c7688b2caed33a2690511bff9a37297b55ef25100101ff90ca51cf3cd4022ff4"
},
"schema_version": "1.0",
"source": {
"id": "2607.17024",
"kind": "arxiv",
"version": 1
}
}