Pith Number
pith:TG2COKTM
pith:2019:TG2COKTM4V75C2FW7MBKXHDDKD
not attested
not anchored
not stored
refs pending
Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic
arxiv:1901.02705 v1 · 2019-01-08 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TG2COKTM4V75C2FW7MBKXHDDKD}
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.
Cited by
Receipt and verification
| First computed | 2026-05-17T23:56:39.739748Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
99b4272a6ce57fd168b6fb02ab9c6350d2059f83280a90cbb26ed12e71e96c9f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TG2COKTM4V75C2FW7MBKXHDDKD \
| 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: 99b4272a6ce57fd168b6fb02ab9c6350d2059f83280a90cbb26ed12e71e96c9f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bd4c4c7e5594e3c727eb157d4d01eb94885c189ba3185e0dfeeeea867a4e83e8",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-01-08T00:39:21Z",
"title_canon_sha256": "819e001d7632aa02774606d5da51c8b125fbacc82fa7ac3f33c92023664c1543"
},
"schema_version": "1.0",
"source": {
"id": "1901.02705",
"kind": "arxiv",
"version": 1
}
}