Pith Number
pith:M45CMA5L
pith:2025:M45CMA5LC2ZSDQKUSIK72HNGEH
not attested
not anchored
not stored
refs pending
Leveraging Deep Learning for Physical Model Bias of Global Air Quality Estimates
arxiv:2508.04886 v1 · 2025-08-06 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{M45CMA5LC2ZSDQKUSIK72HNGEH}
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
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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 | 2026-07-05T11:50:03.550773Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
673a2603ab16b321c1549215fd1da621ecba5cb66b6ea7309b838f5d510d2191
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/M45CMA5LC2ZSDQKUSIK72HNGEH \
| 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: 673a2603ab16b321c1549215fd1da621ecba5cb66b6ea7309b838f5d510d2191
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6bc6bd364dd45be562492504ade3f4df7dbc0c54e841819f3f4229e3b1878263",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-08-06T21:24:32Z",
"title_canon_sha256": "f7927e85d1493d77087abe79b7eaefc381641c696f566a6bf82b35ea0c326e28"
},
"schema_version": "1.0",
"source": {
"id": "2508.04886",
"kind": "arxiv",
"version": 1
}
}