Pith Number
pith:SP6XDJYH
pith:2019:SP6XDJYHCEFIPTBWHQBR4PT6C6
not attested
not anchored
not stored
refs pending
Deep-dust: Predicting concentrations of fine dust in Seoul using LSTM
arxiv:1901.10106 v1 · 2019-01-29 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SP6XDJYHCEFIPTBWHQBR4PT6C6}
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 | 2026-05-17T23:55:16.164773Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
93fd71a707110a87cc363c031e3e7e17a9d03e1741957a6a23400c23e8de7dcd
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SP6XDJYHCEFIPTBWHQBR4PT6C6 \
| 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: 93fd71a707110a87cc363c031e3e7e17a9d03e1741957a6a23400c23e8de7dcd
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "605bb4663801a62858474936255162576e44184784326f77cd1818b0ff12c2aa",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-01-29T05:19:52Z",
"title_canon_sha256": "44edd4482b1256306cbeb656906222a455038ac4a58cad20c81346c9ad8b4c93"
},
"schema_version": "1.0",
"source": {
"id": "1901.10106",
"kind": "arxiv",
"version": 1
}
}