Pith Number

pith:2BSWEUER

pith:2025:2BSWEUERZO6RSF74QZJLLBNV5P

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Reasoning-Intensive Regression

Diane Tchuindjo, Omar Khattab

MENTAT improves reasoning-intensive regression by up to 65 percent over frozen LLM prompting and encoder fine-tuning.

arxiv:2508.21762 v4 · 2025-08-29 · cs.CL · cs.AI

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\pithnumber{2BSWEUERZO6RSF74QZJLLBNV5P}

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4 Citations 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

MENTAT achieves up to 65% improvement over both prompting frozen LLMs and fine-tuning Transformer encoders on four realistic reasoning-intensive regression tasks.

C2weakest assumption

The four problems cast as RiR tasks are representative of the broader class of reasoning-intensive regression problems and the reported gains are not specific to the chosen benchmarks or evaluation protocol.

C3one line summary

MENTAT improves performance on reasoning-intensive regression tasks by up to 65% over standard LLM prompting and encoder fine-tuning by combining batch prompt optimization with neural ensembles.

Cited by

1 paper in Pith

Distribution-Aware Reward: Reinforcement Learning over Predictive Distributions for LLM Regression

Receipt and verification

First computed	2026-06-01T01:02:19.866338Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

d065625091cbbd1917fc8652b585b5ebffb53402ccb3ce0d974ee73dabd84ffe

Aliases

arxiv: 2508.21762 · arxiv_version: 2508.21762v4 · doi: 10.48550/arxiv.2508.21762 · pith_short_12: 2BSWEUERZO6R · pith_short_16: 2BSWEUERZO6RSF74 · pith_short_8: 2BSWEUER

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/2BSWEUERZO6RSF74QZJLLBNV5P \
  | 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: d065625091cbbd1917fc8652b585b5ebffb53402ccb3ce0d974ee73dabd84ffe

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "7a331287be74db049c5c392a873cc5bcc854bbd6b2028bb7cb7e48e620c88e73",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2025-08-29T16:37:42Z",
    "title_canon_sha256": "f05bf2a1e623672d8270279b401380b8af0076ece991b947bb8e359580c87c9b"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2508.21762",
    "kind": "arxiv",
    "version": 4
  }
}