pith:WE6ONQ4V
OGLS-SD: On-Policy Self-Distillation with Outcome-Guided Logit Steering for LLM Reasoning
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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\usepackage{pith}
\pithnumber{WE6ONQ4VWP4JBDXVC7YOYNV5SF}
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Claims
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.
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.
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.
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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
· · · · ·Agent API
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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