Pith Number
pith:FS2AJ3EQ
pith:2025:FS2AJ3EQOC3GPPZAFQ7BW3VDE2
not attested
not anchored
not stored
refs pending
LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models
arxiv:2501.05057 v1 · 2025-01-09 · cs.RO · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FS2AJ3EQOC3GPPZAFQ7BW3VDE2}
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 | 2026-07-05T09:59:03.651177Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2cb404ec9070b667bf202c3e1b6ea326b0485ea5b24ae611b3f2ccabf8e58723
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FS2AJ3EQOC3GPPZAFQ7BW3VDE2 \
| 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: 2cb404ec9070b667bf202c3e1b6ea326b0485ea5b24ae611b3f2ccabf8e58723
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8e7105da5cb162caf81e5f8674926b991c8e2a6fd6a6de1d94dc28eb9b6b0998",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2025-01-09T08:28:16Z",
"title_canon_sha256": "f373372276e0374e8aac46aab9d6053416eed1c7c7ab3b89fc6dea9a60b27413"
},
"schema_version": "1.0",
"source": {
"id": "2501.05057",
"kind": "arxiv",
"version": 1
}
}