Pith Number

pith:NGKYKIAK

pith:2026:NGKYKIAK2YNQHDSTDVY4WVD2XY

not attested not anchored not stored refs pending

Adaptive Teacher Exposure for Self-Distillation in LLM Reasoning

Huaibin Wang, Tiangang Zhang, Yilun Sun, Zihao Han

Adaptive control of how much reference reasoning the teacher sees during self-distillation improves LLM performance on math tasks.

arxiv:2605.11458 v2 · 2026-05-12 · cs.AI · cs.CL · cs.LO

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Claims

C1strongest claim

Experiments on AIME 24, AIME 25, and HMMT 25 across Qwen3-{1.7B, 4B, 8B} show that ATESD consistently outperforms competitive self-distillation and RL baselines, improving over OPSD by +0.95, +2.05, and +2.33 Average@12 points respectively.

C2weakest assumption

That a lightweight Beta-policy controller, optimized via a discounted learning-progress reward on compact training-state statistics, will reliably produce exposure decisions that improve long-term student performance without introducing training instability or benchmark-specific overfitting.

C3one line summary

ATESD makes teacher exposure to reference reasoning a learnable control variable via a Beta-policy optimized on future student improvement, yielding gains of up to +2.33 points over fixed-exposure self-distillation on AIME and HMMT math benchmarks.

Cited by

2 papers in Pith

A Brief Overview: On-Policy Self-Distillation In Large Language Models

Receipt and verification

First computed	2026-05-28T01:04:42.194431Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

699585200ad61b038e531d71cb547abe2edccb32c3e145ebfe106541a40a44fd

Aliases

arxiv: 2605.11458 · arxiv_version: 2605.11458v2 · doi: 10.48550/arxiv.2605.11458 · pith_short_12: NGKYKIAK2YNQ · pith_short_16: NGKYKIAK2YNQHDST · pith_short_8: NGKYKIAK

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/NGKYKIAK2YNQHDSTDVY4WVD2XY \
  | 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: 699585200ad61b038e531d71cb547abe2edccb32c3e145ebfe106541a40a44fd

Canonical record JSON

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    "abstract_canon_sha256": "904a1023c98c8cc7d93e5da3ce5481f1f93879c80f6c2466377bc5f15cb4ccb9",
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      "cs.CL",
      "cs.LO"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2026-05-12T03:15:58Z",
    "title_canon_sha256": "c6d1d4231c0b2deef372a95b664109c6d744977b41c04ca0d03397984278f7c7"
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  "source": {
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    "kind": "arxiv",
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