Pith Number

pith:6FMVCAGL

pith:2023:6FMVCAGLL4MMWZ72DUX3WAVFAI

not attested not anchored not stored refs pending

DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Botian Shi, Daocheng Fu, Liang He, Licheng Wen, Min Dou, Pinlong Cai, Tao Ma, Xin Li, Xinyu Cai, Yu Qiao

arxiv:2309.16292 v3 · 2023-09-28 · cs.RO · cs.CL

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{6FMVCAGLL4MMWZ72DUX3WAVFAI}

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

22 papers in Pith

End-to-End LLM Flight Planning with RAG-based Memory and Multi-modal Coach Agent

Steadily moving semi-infinite fracture in plane poroelasticity

AutoSpec: Safety Rule Evolution for LLM Agents via Inductive Logic Programming

Experience Makes Skillful: Enabling Generalizable Medical Agent Reasoning via Self-Evolving Skill Memory

SARAD: LLM-Based Safety-Aware Hybrid Reinforcement Learning with Collision Prediction for Autonomous Driving

Receipt and verification

First computed	2026-07-05T07:47:59.503217Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

f1595100cb5f18cb67fa1d2fbb02a5023773053f21ebf2c69a7c25becca0436c

Aliases

arxiv: 2309.16292 · arxiv_version: 2309.16292v3 · doi: 10.48550/arxiv.2309.16292 · pith_short_12: 6FMVCAGLL4MM · pith_short_16: 6FMVCAGLL4MMWZ72 · pith_short_8: 6FMVCAGL

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/6FMVCAGLL4MMWZ72DUX3WAVFAI \
  | 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: f1595100cb5f18cb67fa1d2fbb02a5023773053f21ebf2c69a7c25becca0436c

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "9baf9bac618e76cc69636e6e197964470d5b730728c76fcb051794a24cf810ae",
    "cross_cats_sorted": [
      "cs.CL"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.RO",
    "submitted_at": "2023-09-28T09:41:35Z",
    "title_canon_sha256": "239e278c28ce18a10ff3f4facd3b5b97c68dfc2cd286c2cb85f1b085b5f097d0"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2309.16292",
    "kind": "arxiv",
    "version": 3
  }
}