Pith Number

pith:SWH5EN7O

pith:2026:SWH5EN7OZBYXK4TNKZKD3QKIOG

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Latent Chain-of-Thought Improves Structured-Data Transformers

Carson Dudley, Samet Oymak

Latent chain-of-thought via recurrent feedback tokens improves transformer performance on time-series forecasting and tabular prediction.

arxiv:2605.11262 v2 · 2026-05-11 · cs.LG

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Claims

C1strongest claim

Across 36 datasets in time-series forecasting and tabular prediction, latent chain-of-thought improves over the baseline on 8/9 time-series datasets (+10.99% average gain) and 22/27 tabular datasets (+5.31% average gain). Across both settings, the CoT models perform the best on average.

C2weakest assumption

That the observed gains are attributable to the latent chain-of-thought mechanism rather than incidental effects of the recurrent architecture or token compression, and that the gains generalize beyond the 36 chosen datasets and the specific transformer backbone used.

C3one line summary

Latent chain-of-thought via recurrent feedback tokens improves average performance of structured-data transformers on time-series forecasting and tabular prediction.

Formal links

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Receipt and verification

First computed	2026-05-20T02:05:45.888846Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

958fd237eec87175726d56543dc148719603bce3086a119ea7e75f444ff2ed75

Aliases

arxiv: 2605.11262 · arxiv_version: 2605.11262v2 · doi: 10.48550/arxiv.2605.11262 · pith_short_12: SWH5EN7OZBYX · pith_short_16: SWH5EN7OZBYXK4TN · pith_short_8: SWH5EN7O

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/SWH5EN7OZBYXK4TNKZKD3QKIOG \
  | 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: 958fd237eec87175726d56543dc148719603bce3086a119ea7e75f444ff2ed75

Canonical record JSON

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  "metadata": {
    "abstract_canon_sha256": "abbf9c7f68ef32a59dac45c943b0cb349704056d539fc128c8c19f3b2cff57fb",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-05-11T21:41:21Z",
    "title_canon_sha256": "9f0bb0f883fba2f52f3c58659024484e6ddf4892cc29bfe032f93e67d1ef5ba6"
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