Pith Number
pith:HIOXRMIO
pith:2023:HIOXRMIOGBRJ3FSQKPYFIVG7YE
not attested
not anchored
not stored
refs pending
Can Machine Learning Uncover Insights into Vehicle Travel Demand from Our Built Environment?
arxiv:2311.06321 v1 · 2023-11-10 · cs.LG · cs.HC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HIOXRMIOGBRJ3FSQKPYFIVG7YE}
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.
Receipt and verification
| First computed | 2026-07-05T07:11:38.642203Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3a1d78b10e30629d965053f05454dfc10d7e6ae267fee78eaacd07b30075f26e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HIOXRMIOGBRJ3FSQKPYFIVG7YE \
| 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: 3a1d78b10e30629d965053f05454dfc10d7e6ae267fee78eaacd07b30075f26e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2ae5db395062893c80cc544e0b8d4033ea3255225b3f640ea6aab7e9e06ab883",
"cross_cats_sorted": [
"cs.HC"
],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-11-10T06:52:17Z",
"title_canon_sha256": "8e4b1ecd8918e864f8d221e60399f4f8d6e52be62713a35d1134218754574e50"
},
"schema_version": "1.0",
"source": {
"id": "2311.06321",
"kind": "arxiv",
"version": 1
}
}