Pith Number

pith:7LPG2P7F

pith:2023:7LPG2P7FHIKLHNUM5TVFEZTVDO

not attested not anchored not stored refs pending

TouchStone: Evaluating Vision-Language Models by Language Models

Chang Zhou, Jingren Zhou, Jinze Bai, Junyang Lin, Peng Wang, Shuai Bai, Shusheng Yang, Xinggang Wang, Xingxuan Zhang

arxiv:2308.16890 v2 · 2023-08-31 · cs.CV · 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{7LPG2P7FHIKLHNUM5TVFEZTVDO}

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

Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation

DisasterBench: A Multimodal Benchmark for UAV-Based Disaster Response in Complex Environments

TempCompass: Do Video LLMs Really Understand Videos?

MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?

OxyEcomBench: Benchmarking Multimodal Foundation Models across E-Commerce Ecosystems

Receipt and verification

First computed	2026-07-05T06:47:28.569456Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

fade6d3fe53a14b3b68cecea5266751b9233045b9ff189c54afa683d896f6b79

Aliases

arxiv: 2308.16890 · arxiv_version: 2308.16890v2 · doi: 10.48550/arxiv.2308.16890 · pith_short_12: 7LPG2P7FHIKL · pith_short_16: 7LPG2P7FHIKLHNUM · pith_short_8: 7LPG2P7F

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/7LPG2P7FHIKLHNUM5TVFEZTVDO \
  | 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: fade6d3fe53a14b3b68cecea5266751b9233045b9ff189c54afa683d896f6b79

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "868ec35b652d689479364c29ceea2d5dbe0150e6f6e8e5db270dde8d25e2dd2c",
    "cross_cats_sorted": [
      "cs.CL"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2023-08-31T17:52:04Z",
    "title_canon_sha256": "6cd7866d4802fdd89b61cc435fba2eb31aa66fc45fb3a46824d5553d2d78e859"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2308.16890",
    "kind": "arxiv",
    "version": 2
  }
}