Pith Number
pith:YLIIIY3Q
pith:2016:YLIIIY3QODA3OHDLAV7YVEJVBF
not attested
not anchored
not stored
refs pending
Characterizing Driving Styles with Deep Learning
arxiv:1607.03611 v2 · 2016-07-13 · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YLIIIY3QODA3OHDLAV7YVEJVBF}
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
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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.
Cited by
Receipt and verification
| First computed | 2026-05-18T01:02:51.919598Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c2d084637070c1b71c6b057f8a913509446fb5fc6beeb6fcb5515cf79d8d3ab7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YLIIIY3QODA3OHDLAV7YVEJVBF \
| 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: c2d084637070c1b71c6b057f8a913509446fb5fc6beeb6fcb5515cf79d8d3ab7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2803185e27b8899ff5f47b6cc81a0c8dc85b4fa2943593ae0a96f4aee0948fcf",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2016-07-13T07:15:30Z",
"title_canon_sha256": "5c75f4dde493e5b3614f58207c0e6979242ceee9353bdcf43a744c4a4291e9ee"
},
"schema_version": "1.0",
"source": {
"id": "1607.03611",
"kind": "arxiv",
"version": 2
}
}