Pith Number

pith:X4WHOAFJ

pith:2023:X4WHOAFJ6YU7U2BL6BLOTOY3NH

not attested not anchored not stored refs pending

VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks

Gang Zeng, Jiannan Wu, Jie Zhou, Jifeng Dai, Ping Luo, Tong Lu, Wenhai Wang, Xiaokang Chen, Xizhou Zhu, Yu Qiao, Zhe Chen

arxiv:2305.11175 v2 · 2023-05-18 · 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{X4WHOAFJ6YU7U2BL6BLOTOY3NH}

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

14 papers in Pith

A Comprehensive Overview of Large Language Models

SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents

SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models

MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training

Receipt and verification

First computed	2026-07-05T06:13:56.692130Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

bf2c7700a9f629fa682bf056e9bb1b69e509fbc70cf269d2fadec0bb5d2f3fbe

Aliases

arxiv: 2305.11175 · arxiv_version: 2305.11175v2 · doi: 10.48550/arxiv.2305.11175 · pith_short_12: X4WHOAFJ6YU7 · pith_short_16: X4WHOAFJ6YU7U2BL · pith_short_8: X4WHOAFJ

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/X4WHOAFJ6YU7U2BL6BLOTOY3NH \
  | 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: bf2c7700a9f629fa682bf056e9bb1b69e509fbc70cf269d2fadec0bb5d2f3fbe

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "ea15ec3c934d59a95a35458c5fba9497f6ee6c6b3502a22ed3d10f850292a515",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2023-05-18T17:59:42Z",
    "title_canon_sha256": "ed96df3bc0b22cbedea66714267b63ec226a9f722ef2ffc26a0eeca0ac89bba4"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2305.11175",
    "kind": "arxiv",
    "version": 2
  }
}