Pith Number
pith:LSYF7QPX
pith:2021:LSYF7QPXFNDMYEBPOQZ623T2WW
not attested
not anchored
not stored
refs pending
Rapid Assessments of Light-Duty Gasoline Vehicle Emissions Using On-Road Remote Sensing and Machine Learning
arxiv:2110.00260 v1 · 2021-10-01 · cs.LG · physics.ao-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LSYF7QPXFNDMYEBPOQZ623T2WW}
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 | 2026-07-05T03:19:27.919470Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5cb05fc1f72b46cc102f7433ed6e7ab5a0824978916a22173f002e59ae00754c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LSYF7QPXFNDMYEBPOQZ623T2WW \
| 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: 5cb05fc1f72b46cc102f7433ed6e7ab5a0824978916a22173f002e59ae00754c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fc2bc7f43994e083935bff5d96d5f8284bdda5ea3d65a8b5d306a69674d23e86",
"cross_cats_sorted": [
"physics.ao-ph"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-10-01T08:37:06Z",
"title_canon_sha256": "0cd44d2605f6cbe9cb40337a3a7c025099b159c5710da4e758eb65d03eb4caea"
},
"schema_version": "1.0",
"source": {
"id": "2110.00260",
"kind": "arxiv",
"version": 1
}
}