Pith Number
pith:AMJKKS3Y
pith:2025:AMJKKS3YKN4V7ZNLNE5MDVMNXL
not attested
not anchored
not stored
refs pending
AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks
arxiv:2501.13141 v2 · 2025-01-22 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AMJKKS3YKN4V7ZNLNE5MDVMNXL}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T11:30:40.895053Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0312a54b7853795fe5ab693ac1d58dbaee9e264c5a458d87514c711419605f08
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AMJKKS3YKN4V7ZNLNE5MDVMNXL \
| 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: 0312a54b7853795fe5ab693ac1d58dbaee9e264c5a458d87514c711419605f08
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4ece96f2cf2be8554abba86ea9576dabf224fdd1913320cbdc8870f64a3355b2",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-01-22T14:32:20Z",
"title_canon_sha256": "c8402bd02edd812868bd240e4e8d87a79507bad33308f7e89e648711dc955776"
},
"schema_version": "1.0",
"source": {
"id": "2501.13141",
"kind": "arxiv",
"version": 2
}
}