Pith Number

pith:O2HFSJPR

pith:2024:O2HFSJPRRCS7Z2J3XYVVNQYEC7

not attested not anchored not stored refs pending

VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving

Junwei You, Sikai Chen, Yansong Qu, Zihao Sheng, Zilin Huang

arxiv:2412.15544 v1 · 2024-12-20 · cs.RO · cs.AI · cs.CV

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{O2HFSJPRRCS7Z2J3XYVVNQYEC7}

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 open · sign in to claim

4 Citations open

5 Replications open

✓ 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

5 papers in Pith

Steadily moving semi-infinite fracture in plane poroelasticity

Language-Driven Cost Optimization for Autonomous Driving

Seeing Before Colliding: Anticipatory Safe RL with Frozen Vision-Language Models

SignReasoner: Compositional Reasoning for Complex Traffic Sign Understanding via Functional Structure Units

XEmbodied: A Foundation Model with Enhanced Geometric and Physical Cues for Large-Scale Embodied Environments

Receipt and verification

First computed	2026-07-05T09:52:25.030391Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

768e5925f188a5fce93bbe2b56c30417ea58bd6768c5bc3fea94ff502e04fa4f

Aliases

arxiv: 2412.15544 · arxiv_version: 2412.15544v1 · doi: 10.48550/arxiv.2412.15544 · pith_short_12: O2HFSJPRRCS7 · pith_short_16: O2HFSJPRRCS7Z2J3 · pith_short_8: O2HFSJPR

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/O2HFSJPRRCS7Z2J3XYVVNQYEC7 \
  | 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: 768e5925f188a5fce93bbe2b56c30417ea58bd6768c5bc3fea94ff502e04fa4f

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "6ce149aeac15d97d7156549c891310031a7a5ad6f1e271f98beb33c8a2fe6b67",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.CV"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.RO",
    "submitted_at": "2024-12-20T04:08:11Z",
    "title_canon_sha256": "223bcf781c5a300ccaf24d5f461d55db0d39c38a4c6969aa6912b8a3fdcf3c8f"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2412.15544",
    "kind": "arxiv",
    "version": 1
  }
}