Pith Number
pith:3H5C7YWL
pith:2018:3H5C7YWL3G5A56C72S72LUNNLF
not attested
not anchored
not stored
refs pending
Prediction of Daily PM2.5 Concentration in China Using Data-Driven Ordinary Differential Equations
arxiv:1808.01867 v2 · 2018-07-21 · physics.ao-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3H5C7YWL3G5A56C72S72LUNNLF}
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 | 2026-05-18T00:08:20.280212Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d9fa2fe2cbd9ba0ef85fd4bfa5d1ad5946d245506c623e3826585d4acc654460
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3H5C7YWL3G5A56C72S72LUNNLF \
| 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: d9fa2fe2cbd9ba0ef85fd4bfa5d1ad5946d245506c623e3826585d4acc654460
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "cf1035f6fd4d218b23df8b77ef7e60c142d988e32f9cf7688edd33a701b23e0e",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.ao-ph",
"submitted_at": "2018-07-21T13:25:52Z",
"title_canon_sha256": "881e431e4d31e284f7b245314d52ef921971f29ab64e75a69f1831d5a47b9db8"
},
"schema_version": "1.0",
"source": {
"id": "1808.01867",
"kind": "arxiv",
"version": 2
}
}