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pith:NG7FBDOS

pith:2026:NG7FBDOSXBEX6QYMQUQPFFJ6XA
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TIP: Token Importance in On-Policy Distillation

Alborz Geramifard, Hejian Sang, Ran He, Yuanda Xu, Zhengze Zhou, Zhipeng Wang

Informative tokens in on-policy distillation come from high student entropy positions and low-entropy positions with high teacher divergence where the student is overconfident and wrong.

arxiv:2604.14084 v3 · 2026-04-15 · cs.LG · cs.AI

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\pithnumber{NG7FBDOSXBEX6QYMQUQPFFJ6XA}

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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

informative tokens come from two regions: positions with high student entropy, and positions with low student entropy plus high teacher--student divergence, where the student is overconfident and wrong.

C2weakest assumption

That teacher-student divergence reliably flags cases where the student is factually wrong rather than simply differing in style or valid alternative answers.

C3one line summary

In on-policy distillation, tokens with high student entropy or low entropy plus high teacher divergence provide dense corrective signal, allowing effective training on under 20% of tokens across math and planning tasks.

Cited by

9 papers in Pith

Receipt and verification
First computed 2026-05-21T01:05:19.098471Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

69be508dd2b8497f430c8520f2953eb838b95aea2f271644dea7ad5cec2258cc

Aliases

arxiv: 2604.14084 · arxiv_version: 2604.14084v3 · doi: 10.48550/arxiv.2604.14084 · pith_short_12: NG7FBDOSXBEX · pith_short_16: NG7FBDOSXBEX6QYM · pith_short_8: NG7FBDOS
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NG7FBDOSXBEX6QYMQUQPFFJ6XA \
  | 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: 69be508dd2b8497f430c8520f2953eb838b95aea2f271644dea7ad5cec2258cc
Canonical record JSON
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    "cross_cats_sorted": [
      "cs.AI"
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    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-04-15T16:58:24Z",
    "title_canon_sha256": "1772ecceee47108b85c5ccaa6091b72facab7f9bcc774cc248b1034a9882d7ff"
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  "source": {
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