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pith:2026:YQECANQJPDNQQY55IBGXIVWEYD
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TabClustPFN: A Prior-Fitted Network for Tabular Data Clustering

Guanyang Wang, Qiong Zhang, Tianqi Zhao, Yan Shuo Tan

TabClustPFN clusters any new tabular dataset in one forward pass by amortizing Bayesian inference over assignments and cluster count.

arxiv:2601.21656 v3 · 2026-01-29 · cs.LG

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Claims

C1strongest claim

TabClustPFN clusters unseen datasets in a single forward pass, without dataset-specific retraining or hyperparameter tuning, and outperforms classical, deep, and amortized clustering baselines on synthetic and real-world tabular benchmarks.

C2weakest assumption

The synthetic datasets drawn from the flexible clustering prior sufficiently resemble the structure and heterogeneity of real-world tabular data so that the pretrained network generalizes without retraining.

C3one line summary

TabClustPFN performs amortized Bayesian inference for cluster assignments and cardinality on unseen tabular data after pretraining on synthetic data from a flexible prior.

Receipt and verification
First computed 2026-05-17T23:39:16.532043Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

c40820360978db0863bd404d7456c4c0e7ea3a9b1f784bde4f589a642ac46093

Aliases

arxiv: 2601.21656 · arxiv_version: 2601.21656v3 · doi: 10.48550/arxiv.2601.21656 · pith_short_12: YQECANQJPDNQ · pith_short_16: YQECANQJPDNQQY55 · pith_short_8: YQECANQJ
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YQECANQJPDNQQY55IBGXIVWEYD \
  | 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: c40820360978db0863bd404d7456c4c0e7ea3a9b1f784bde4f589a642ac46093
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-01-29T12:56:41Z",
    "title_canon_sha256": "1034c67585577229f33c36ca2e3318c2d6b6db96de232b13a1fd0d1331b5ed06"
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