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pith:J5BMPQQU

pith:2026:J5BMPQQUBGKXTAJWOEYQVQKCZJ
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VT-Bench: A Unified Benchmark for Visual-Tabular Multi-Modal Learning

Kun-Yang Yu, Lan-Zhe Guo, Xin-Yue Zhang, Yu-Feng Li, Zhi Zhou, Zi-Jian Cheng, Zi-Yi Jia

VT-Bench is the first unified benchmark to standardize evaluation of models that combine images with tabular data.

arxiv:2605.08146 v2 · 2026-05-03 · cs.CV · cs.AI

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\usepackage{pith}
\pithnumber{J5BMPQQUBGKXTAJWOEYQVQKCZJ}

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2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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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.

Claims

C1strongest claim

VT-Bench is the first unified benchmark for standardizing vision-tabular discriminative prediction and generative reasoning tasks, aggregating 14 datasets across 9 domains with over 756K samples and evaluating 23 models to highlight substantial challenges of visual-tabular learning.

C2weakest assumption

The 14 chosen datasets and the evaluation setup for 23 models accurately represent the core difficulties of visual-tabular multi-modal learning without selection bias or incomplete coverage of real-world use cases.

C3one line summary

VT-Bench is the first unified benchmark aggregating 14 visual-tabular datasets with over 756K samples and evaluating 23 models to expose challenges in this multi-modal area.

Receipt and verification
First computed 2026-05-20T01:06:09.995755Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

4f42c7c214099579813671310ac142ca5374ac84726a238c83742875c44c1eeb

Aliases

arxiv: 2605.08146 · arxiv_version: 2605.08146v2 · doi: 10.48550/arxiv.2605.08146 · pith_short_12: J5BMPQQUBGKX · pith_short_16: J5BMPQQUBGKXTAJW · pith_short_8: J5BMPQQU
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/J5BMPQQUBGKXTAJWOEYQVQKCZJ \
  | 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: 4f42c7c214099579813671310ac142ca5374ac84726a238c83742875c44c1eeb
Canonical record JSON
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    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-03T09:33:08Z",
    "title_canon_sha256": "7153c6f145462aa0c5d989c242797b5c908e84b964a44cb2019a6ce2618cee86"
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