Pith Number
pith:HW3GYK4H
pith:2017:HW3GYK4H77SHO6HH24JDJ6LOJS
not attested
not anchored
not stored
refs pending
Using Machine Learning to Enhance Vehicles Traffic in ATN (PRT) Systems
arxiv:1712.05990 v1 · 2017-12-16 · cs.MA
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HW3GYK4H77SHO6HH24JDJ6LOJS}
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
✓
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 | 2026-05-18T00:27:51.354340Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3db66c2b87ffe47778e7d71234f96e4caffe1a6b7cd7994fa3f9031bedf36aea
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HW3GYK4H77SHO6HH24JDJ6LOJS \
| 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: 3db66c2b87ffe47778e7d71234f96e4caffe1a6b7cd7994fa3f9031bedf36aea
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e572a71de5999d1f3d05220459896bea1ad7e65456b26e6d727b02cf43b3d14f",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.MA",
"submitted_at": "2017-12-16T17:01:40Z",
"title_canon_sha256": "0bcbfc08beedf6a792181b29b9ed6a4c3f2ac617eedcfee7b98c1cb0e7b47aa3"
},
"schema_version": "1.0",
"source": {
"id": "1712.05990",
"kind": "arxiv",
"version": 1
}
}