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pith:WE6ONQ4V

pith:2026:WE6ONQ4VWP4JBDXVC7YOYNV5SF
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OGLS-SD: On-Policy Self-Distillation with Outcome-Guided Logit Steering for LLM Reasoning

Weitong Zhang, Xiaoyun Wang, Yuxiao Yang

Outcome-guided logit steering calibrates teacher responses in on-policy self-distillation by contrasting successful and failed trajectories, reducing reflection bias for better LLM reasoning.

arxiv:2605.12400 v2 · 2026-05-12 · cs.LG · cs.AI

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3 Author claim open · sign in to claim
4 Citations open
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Claims

C1strongest claim

By combining outcome-level correctness with dense token-level guidance through logit steering, OGLS-SD stabilizes self-distillation and improves reasoning performance over standard OPSD and other variants across diverse benchmarks.

C2weakest assumption

That verifiable outcome rewards can reliably contrast successful and failed on-policy trajectories to calibrate teacher logits and mitigate reflection-induced bias without introducing new calibration issues or depending on tasks where outcomes are easily verifiable.

C3one line summary

OGLS-SD improves LLM reasoning by using verifiable outcome rewards to guide logit steering that calibrates teacher distributions in on-policy self-distillation, addressing reflection-induced mismatches.

Formal links

2 machine-checked theorem links

Cited by

2 papers in Pith

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First computed 2026-06-02T01:03:48.438082Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

b13ce6c395b3f8908ef517f0ec36bd9178cc3a3844be93dfdc059ab8275b4f73

Aliases

arxiv: 2605.12400 · arxiv_version: 2605.12400v2 · doi: 10.48550/arxiv.2605.12400 · pith_short_12: WE6ONQ4VWP4J · pith_short_16: WE6ONQ4VWP4JBDXV · pith_short_8: WE6ONQ4V
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WE6ONQ4VWP4JBDXVC7YOYNV5SF \
  | 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: b13ce6c395b3f8908ef517f0ec36bd9178cc3a3844be93dfdc059ab8275b4f73
Canonical record JSON
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    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-05-12T17:00:53Z",
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