Paper Citation Record · LEDGER

Weak-to-Strong Generalization via Direct On-Policy Distillation

As of 7 August 2026, this Paper Citation Record lists 100 of 105 outbound references and 4 inbound Pith citation observations for arXiv:2607.05394.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.05394 v2

Coverage vector

measured 100 of 105 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T07:01:56.628017Z

measured 104 of 104 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T07:07:43.400511Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 105 outbound references displayed

verified exact0
verified fuzzy0
unresolved100
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6384b32f-a969-43f8-a826-5270904df0ff · outbound

This paper cites DeepSeek-R1: Incentivizing reasoning capability in LLMs via reinforcement learning.

Weak-to-Strong Generalization via Direct On-Policy Distillation DeepSeek-R1: Incentivizing reasoning capability in LLMs via reinforcement learning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation 781713bd-26e9-4bf9-a4c7-0a8c157c27ad · outbound

This paper cites JustRL: Scaling a 1.5B LLM with a simple RL recipe.

Weak-to-Strong Generalization via Direct On-Policy Distillation JustRL: Scaling a 1.5B LLM with a simple RL recipe

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation 7d872834-608d-47e3-bd86-2822c9332ba4 · outbound

This paper cites Qwen3 Technical Report.

Weak-to-Strong Generalization via Direct On-Policy Distillation Qwen3 Technical Report

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation 5aa5a17f-54ca-4445-8b18-565ae2510235 · outbound

This paper cites POLARIS: A post-training recipe for scaling reinforcement learning on reasoning models.

Weak-to-Strong Generalization via Direct On-Policy Distillation POLARIS: A post-training recipe for scaling reinforcement learning on reasoning models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation 84c1681c-4087-4f32-80df-36b75dd0da39 · outbound

This paper cites Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe.

Weak-to-Strong Generalization via Direct On-Policy Distillation Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation 36d5cf22-a34d-4ab9-91ff-2a758cec96f9 · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

Weak-to-Strong Generalization via Direct On-Policy Distillation Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation 9653133b-8622-4b08-8a47-917e10dfefc3 · outbound

This paper cites QuestA: Expanding reasoning capacity in LLMs via question augmentation.arXiv preprint arXiv:2507.13266, 2025.

Weak-to-Strong Generalization via Direct On-Policy Distillation QuestA: Expanding reasoning capacity in LLMs via question augmentation.arXiv preprint arXiv:2507.13266, 2025

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation e94af6ad-635d-4f35-9448-7b73035eb864 · outbound

This paper cites Lyng, Sanjit Singh Batra, and Robert E.

Weak-to-Strong Generalization via Direct On-Policy Distillation Lyng, Sanjit Singh Batra, and Robert E

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation 50deb921-7e82-4e45-a46f-85698de79d12 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Weak-to-Strong Generalization via Direct On-Policy Distillation DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation a4d3987e-c861-479b-96b7-fa783a730760 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Weak-to-Strong Generalization via Direct On-Policy Distillation Proximal Policy Optimization Algorithms

Reference 10

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Observation 94210e6c-4e52-4c8f-a8a9-bf63ba3344f3 · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

Weak-to-Strong Generalization via Direct On-Policy Distillation Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 11

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Observation f3eee08c-fcbf-4d05-9472-662838886b63 · outbound

This paper cites QwQ-32B: Embracing the power of reinforcement learning.https://qwenlm.github.io/blog/qw q-32b/, 2025.

Weak-to-Strong Generalization via Direct On-Policy Distillation QwQ-32B: Embracing the power of reinforcement learning.https://qwenlm.github.io/blog/qw q-32b/, 2025

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation fd5107ec-5293-491b-8077-284ae9ad5976 · outbound

This paper cites Open-reasoner- zero: An open source approach to scaling reinforcement learning on the base model.https://github.com/Ope n-Reasoner-Zero/Open-Reasoner-Zero, 2025.

Weak-to-Strong Generalization via Direct On-Policy Distillation Open-reasoner- zero: An open source approach to scaling reinforcement learning on the base model.https://github.com/Ope n-Reasoner-Zero/Open-Reasoner-Zero, 2025

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation 79b534cb-3bb6-4c11-b93f-3ea3b04600c4 · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

Weak-to-Strong Generalization via Direct On-Policy Distillation DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation c2ee0745-8e4e-40a9-a859-7f17b88c5fba · outbound

This paper cites Skywork Open Reasoner 1 Technical Report.

Weak-to-Strong Generalization via Direct On-Policy Distillation Skywork Open Reasoner 1 Technical Report

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation 6cf49e12-3bfb-4301-9504-f6cef34cf187 · outbound

This paper cites DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning.

Weak-to-Strong Generalization via Direct On-Policy Distillation DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning

Reference 16

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Observation a95b12cb-86f7-4ad0-a343-52cd6930c9cd · outbound

This paper cites How far can unsupervised rlvr scale llm training?arXiv preprintarXiv:2603.08660, 2026.

Weak-to-Strong Generalization via Direct On-Policy Distillation How far can unsupervised rlvr scale llm training?arXiv preprintarXiv:2603.08660, 2026

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation 9a4c5fb1-4e19-45f4-aa99-5a4411c09190 · outbound

This paper cites DeepSeek V4 preview release.https://api-docs.deepseek.com/news/news260424, 2026.

Weak-to-Strong Generalization via Direct On-Policy Distillation DeepSeek V4 preview release.https://api-docs.deepseek.com/news/news260424, 2026

Reference 18

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Observation 3b2f48df-f0f0-49ee-8791-83023a08cf92 · outbound

This paper cites GLM-5.2: Built for long-horizon tasks.https://z.ai/blog/glm-5.2, 2026.

Weak-to-Strong Generalization via Direct On-Policy Distillation GLM-5.2: Built for long-horizon tasks.https://z.ai/blog/glm-5.2, 2026

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation 75e7e64b-cea9-457a-b420-8432ff36543f · outbound

This paper cites AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset.

Weak-to-Strong Generalization via Direct On-Policy Distillation AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation 1b8404f6-722a-4ebb-a24f-a5ac0a817d8d · outbound

This paper cites OpenThoughts: Data Recipes for Reasoning Models.

Weak-to-Strong Generalization via Direct On-Policy Distillation OpenThoughts: Data Recipes for Reasoning Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation 4581e08f-2d0a-40d5-9a7c-43a41ba0900a · outbound

This paper cites Numinamath: The largest public dataset in ai4maths with 860k pairs of competition math problems and solutions.

Weak-to-Strong Generalization via Direct On-Policy Distillation Numinamath: The largest public dataset in ai4maths with 860k pairs of competition math problems and solutions

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation ecc0a348-7280-492a-985b-560af29ffa29 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Weak-to-Strong Generalization via Direct On-Policy Distillation Distilling the Knowledge in a Neural Network

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation 2adf695e-99c8-4162-a617-959b9e5f835d · outbound

This paper cites Sequence-level knowledge distillation.

Weak-to-Strong Generalization via Direct On-Policy Distillation Sequence-level knowledge distillation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation 0b6e95a5-65dc-4b9e-bde8-07b4ce1c8e55 · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

Weak-to-Strong Generalization via Direct On-Policy Distillation DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation a69c8719-5814-4132-ace2-c08798ad8e0f · outbound

This paper cites Tinybert: Distilling bert for natural language understanding.

Weak-to-Strong Generalization via Direct On-Policy Distillation Tinybert: Distilling bert for natural language understanding

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation 1008496c-3766-4143-be47-59767fdbbf98 · outbound

This paper cites Minilm: Deep self-attention distillation for task-agnostic compression of pre-trained transformers.

Weak-to-Strong Generalization via Direct On-Policy Distillation Minilm: Deep self-attention distillation for task-agnostic compression of pre-trained transformers

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation 05b37e31-2aab-44df-b3a7-9cbacb74238c · outbound

This paper cites Improved knowledge distillation via teacher assistant.

Weak-to-Strong Generalization via Direct On-Policy Distillation Improved knowledge distillation via teacher assistant

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation 6923504a-4d05-46ff-b1e0-b178db0f4a6f · outbound

This paper cites On the efficacy of knowledge distillation.

Weak-to-Strong Generalization via Direct On-Policy Distillation On the efficacy of knowledge distillation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation 39e87fb7-d8c1-4488-a56e-e9092c417205 · outbound

This paper cites Distillation Scaling Laws.

Weak-to-Strong Generalization via Direct On-Policy Distillation Distillation Scaling Laws

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation 50f424f5-2513-4320-b553-1367fbc27c14 · outbound

This paper cites MiniLLM: On-Policy Distillation of Large Language Models.

Weak-to-Strong Generalization via Direct On-Policy Distillation MiniLLM: On-Policy Distillation of Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation 41d7ce90-7def-4c90-9ae3-971c097dea1f · outbound

This paper cites f-Divergence Minimization for Sequence-Level Knowledge Distillation.

Weak-to-Strong Generalization via Direct On-Policy Distillation f-Divergence Minimization for Sequence-Level Knowledge Distillation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation 06919646-9ff1-4cdd-b87a-59e50e152d61 · outbound

This paper cites Revisiting Knowledge Distillation for Autoregressive Language Models.

Weak-to-Strong Generalization via Direct On-Policy Distillation Revisiting Knowledge Distillation for Autoregressive Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation 5cbe331a-0496-4e58-9684-cd0b1ebcb88c · outbound

This paper cites Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models.

Weak-to-Strong Generalization via Direct On-Policy Distillation Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation e193e4c4-d4be-4125-9b9c-a5b283fa6f3b · outbound

This paper cites DistiLLM: Towards Streamlined Distillation for Large Language Models.

Weak-to-Strong Generalization via Direct On-Policy Distillation DistiLLM: Towards Streamlined Distillation for Large Language Models

Reference 35

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Observation 02d101de-8bd5-4513-a448-a79bafb8a2e5 · outbound

This paper cites DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs.

Weak-to-Strong Generalization via Direct On-Policy Distillation DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation ae0c877e-fa71-480a-bd99-fb47ceb9b5e6 · outbound

This paper cites MiniPLM: Knowledge Distillation for Pre-Training Language Models.

Weak-to-Strong Generalization via Direct On-Policy Distillation MiniPLM: Knowledge Distillation for Pre-Training Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation fe7aab0c-affa-4812-afc1-8f3420495a68 · outbound

This paper cites DistillSpec: Improving Speculative Decoding via Knowledge Distillation.

Weak-to-Strong Generalization via Direct On-Policy Distillation DistillSpec: Improving Speculative Decoding via Knowledge Distillation

Reference 38

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation f77a8127-b322-463a-9b50-9174f09f7466 · outbound

This paper cites Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling.

Weak-to-Strong Generalization via Direct On-Policy Distillation Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation 024037ba-1aa8-4095-a577-2a05dace3ead · outbound

This paper cites On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes.

Weak-to-Strong Generalization via Direct On-Policy Distillation On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation 728b120e-b2c7-4ebd-8f93-6ed3e04fcb5d · outbound

This paper cites On-policy distillation.

Weak-to-Strong Generalization via Direct On-Policy Distillation On-policy distillation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation f79f2454-7766-4eb6-a227-81f81e99d52c · outbound

This paper cites A Survey of On-Policy Distillation for Large Language Models.

Weak-to-Strong Generalization via Direct On-Policy Distillation A Survey of On-Policy Distillation for Large Language Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation 4e3d80cd-222f-4bf9-8239-ce5b1f2ac704 · outbound

This paper cites Revisiting On-Policy Distillation: Empirical Failure Modes and Simple Fixes.

Weak-to-Strong Generalization via Direct On-Policy Distillation Revisiting On-Policy Distillation: Empirical Failure Modes and Simple Fixes

Reference 43

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation 10e7219c-baa6-428c-ada3-027eeaf43a71 · outbound

This paper cites Entropy-Aware On-Policy Distillation of Language Models.

Weak-to-Strong Generalization via Direct On-Policy Distillation Entropy-Aware On-Policy Distillation of Language Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation 047a9d32-1acc-419c-a421-c27d9081f21f · outbound

This paper cites Stable On-Policy Distillation through Adaptive Target Reformulation.

Weak-to-Strong Generalization via Direct On-Policy Distillation Stable On-Policy Distillation through Adaptive Target Reformulation

Reference 45

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation 634d9d0a-0f4b-4104-87d3-a211920d3e77 · outbound

This paper cites Unifying group-relative and self-distillation policy optimization via sample routing.

Weak-to-Strong Generalization via Direct On-Policy Distillation Unifying group-relative and self-distillation policy optimization via sample routing

Reference 46

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation 590650dd-5a62-415d-917c-4b7c0c073182 · outbound

This paper cites On-Policy Context Distillation for Language Models.

Weak-to-Strong Generalization via Direct On-Policy Distillation On-Policy Context Distillation for Language Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation 18c662a1-119b-458d-96fd-5c585807adb7 · outbound

This paper cites Online Experiential Learning for Language Models.

Weak-to-Strong Generalization via Direct On-Policy Distillation Online Experiential Learning for Language Models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation edc387dc-4cc2-4c0f-b0e1-d663a455cabf · outbound

This paper cites Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models.

Weak-to-Strong Generalization via Direct On-Policy Distillation Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation f80e56c1-8224-4c47-a94f-165fd0dd53b4 · outbound

This paper cites Self-distillation for multi-token prediction, 2026.arXiv preprint arXiv:2603.23911, 2026.

Weak-to-Strong Generalization via Direct On-Policy Distillation Self-distillation for multi-token prediction, 2026.arXiv preprint arXiv:2603.23911, 2026

Reference 50

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation 97a91287-e81b-447f-ba55-06cc450123c2 · outbound

This paper cites Reinforcement Learning via Self-Distillation.

Weak-to-Strong Generalization via Direct On-Policy Distillation Reinforcement Learning via Self-Distillation

Reference 51

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation 90474726-e136-48de-9e3b-6e4428f2baf5 · outbound

This paper cites Self-Distillation Enables Continual Learning.

Weak-to-Strong Generalization via Direct On-Policy Distillation Self-Distillation Enables Continual Learning

Reference 52

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation ee600dd5-d64a-4e2f-b6f9-592d71db122c · outbound

This paper cites PACED: Distillation and On-Policy Self-Distillation at the Frontier of Student Competence.

Weak-to-Strong Generalization via Direct On-Policy Distillation PACED: Distillation and On-Policy Self-Distillation at the Frontier of Student Competence

Reference 53

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation 4348ce7b-e70f-47d8-80a7-4351fa53540f · outbound

This paper cites Scaling reasoning efficiently via relaxed on-policy distillation.arXiv preprint arXiv:2603.11137, 2026.

Weak-to-Strong Generalization via Direct On-Policy Distillation Scaling reasoning efficiently via relaxed on-policy distillation.arXiv preprint arXiv:2603.11137, 2026

Reference 54

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation c5cc2cab-e0d2-4d53-a4cd-ec2741f3039b · outbound

This paper cites Why Does Self-Distillation (Sometimes) Degrade the Reasoning Capability of LLMs?.

Weak-to-Strong Generalization via Direct On-Policy Distillation Why Does Self-Distillation (Sometimes) Degrade the Reasoning Capability of LLMs?

Reference 55

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

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Observation e211856f-990b-4702-8110-4a7c6b1588a3 · outbound

This paper cites Black-Box On-Policy Distillation of Large Language Models.arXiv preprint arXiv:2511.10643, 2025.

Weak-to-Strong Generalization via Direct On-Policy Distillation Black-Box On-Policy Distillation of Large Language Models.arXiv preprint arXiv:2511.10643, 2025

Reference 56

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This paper cites MiMo-V2-Flash Technical Report.

Weak-to-Strong Generalization via Direct On-Policy Distillation MiMo-V2-Flash Technical Report

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Observation 276f615d-744d-43a4-9f4a-e18d4b387fe2 · outbound

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Weak-to-Strong Generalization via Direct On-Policy Distillation Unresolved cited work

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Observation 64d41ed5-9b4c-4adb-a93e-dcf3a9891769 · outbound

This paper cites KDRL: Post-Training Reasoning LLMs via Unified Knowledge Distillation and Reinforcement Learning.

Weak-to-Strong Generalization via Direct On-Policy Distillation KDRL: Post-Training Reasoning LLMs via Unified Knowledge Distillation and Reinforcement Learning

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Observation 468560f9-9e50-4064-8267-4f0333143a5f · outbound

This paper cites Reinforcement-aware Knowledge Distillation for LLM Reasoning.

Weak-to-Strong Generalization via Direct On-Policy Distillation Reinforcement-aware Knowledge Distillation for LLM Reasoning

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Observation dae33936-2343-424a-a54f-d8b6cb275983 · outbound

This paper cites AlignDistil: Token-Level Language Model Alignment as Adaptive Policy Distillation.

Weak-to-Strong Generalization via Direct On-Policy Distillation AlignDistil: Token-Level Language Model Alignment as Adaptive Policy Distillation

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Observation 199e62b2-4e82-4319-b42c-2c9f4923472e · outbound

This paper cites Self-Distilled RLVR.

Weak-to-Strong Generalization via Direct On-Policy Distillation Self-Distilled RLVR

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Observation 90af5db4-293a-48db-b8ee-8fcac00d6648 · outbound

This paper cites Small models struggle to learn from strong reasoners.

Weak-to-Strong Generalization via Direct On-Policy Distillation Small models struggle to learn from strong reasoners

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Observation 7f6fa9c3-f691-4d54-bab7-22445a3644f7 · outbound

This paper cites Learning beyond Teacher: Generalized On-Policy Distillation with Reward Extrapolation.

Weak-to-Strong Generalization via Direct On-Policy Distillation Learning beyond Teacher: Generalized On-Policy Distillation with Reward Extrapolation

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Observation d4278c51-8044-46dd-8869-3e9a187f8195 · outbound

This paper cites Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision.

Weak-to-Strong Generalization via Direct On-Policy Distillation Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision

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Observation 85d9953a-31c0-4406-b7bc-bab71cdbf235 · outbound

This paper cites Introducing Superalignment.OpenAI Blog, 2023.

Weak-to-Strong Generalization via Direct On-Policy Distillation Introducing Superalignment.OpenAI Blog, 2023

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Observation 8fff07fb-add9-4446-8386-8f388a8a2e3b · outbound

This paper cites Semi-supervised learning by entropy minimization.Advances in neural information processing systems, 17, 2004.

Weak-to-Strong Generalization via Direct On-Policy Distillation Semi-supervised learning by entropy minimization.Advances in neural information processing systems, 17, 2004

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Observation 7bcd7216-249b-4b3a-a233-65f4d84875b7 · outbound

This paper cites Semi-supervised sequence learning.Advances in neural information processing systems, 28, 2015.

Weak-to-Strong Generalization via Direct On-Policy Distillation Semi-supervised sequence learning.Advances in neural information processing systems, 28, 2015

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Observation 34d855c2-7bc0-4846-aeed-7732e5b6d353 · outbound

This paper cites Temporal Ensembling for Semi-Supervised Learning.

Weak-to-Strong Generalization via Direct On-Policy Distillation Temporal Ensembling for Semi-Supervised Learning

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Observation 3028b6e0-7e46-4822-97ff-68d65d743ec6 · outbound

This paper cites There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average.

Weak-to-Strong Generalization via Direct On-Policy Distillation There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average

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Observation 82abf378-ab71-4341-8a32-0c2805e6112f · outbound

This paper cites Co- teaching: Robust training of deep neural networks with extremely noisy labels.Advances in neural information processing systems, 31, 2018.

Weak-to-Strong Generalization via Direct On-Policy Distillation Co- teaching: Robust training of deep neural networks with extremely noisy labels.Advances in neural information processing systems, 31, 2018

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Observation 00ead182-98ff-4c1c-88df-9ae548532948 · outbound

This paper cites Mixmatch: A holistic approach to semi-supervised learning.Advancesin neural information processing systems, 32, 2019.

Weak-to-Strong Generalization via Direct On-Policy Distillation Mixmatch: A holistic approach to semi-supervised learning.Advancesin neural information processing systems, 32, 2019

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Observation f07f7858-d323-44b4-b4d7-2cbf87c19d7a · outbound

This paper cites DivideMix: Learning with Noisy Labels as Semi-supervised Learning.

Weak-to-Strong Generalization via Direct On-Policy Distillation DivideMix: Learning with Noisy Labels as Semi-supervised Learning

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Observation 950dff98-1d8e-443f-b012-6690f257a3cc · outbound

This paper cites Big self-supervised models are strong semi-supervised learners.Advancesin neural information processing systems, 33:22243–22255, 2020.

Weak-to-Strong Generalization via Direct On-Policy Distillation Big self-supervised models are strong semi-supervised learners.Advancesin neural information processing systems, 33:22243–22255, 2020

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Observation 2c27b717-4ded-4395-9db9-0e282e795c8c · outbound

This paper cites Self-training avoids using spurious features under domain shift.

Weak-to-Strong Generalization via Direct On-Policy Distillation Self-training avoids using spurious features under domain shift

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Observation 64ef02a0-7147-45f0-8af1-8039bc4c3f2c · outbound

This paper cites Debiased self-training for semi-supervised learning.Advances in Neural Information Processing Systems, 35:32424–32437, 2022.

Weak-to-Strong Generalization via Direct On-Policy Distillation Debiased self-training for semi-supervised learning.Advances in Neural Information Processing Systems, 35:32424–32437, 2022

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Observation ec5da4bb-bd31-4da6-89f0-be1b9fc965bf · outbound

This paper cites Supervising strong learners by amplifying weak experts.

Weak-to-Strong Generalization via Direct On-Policy Distillation Supervising strong learners by amplifying weak experts

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Observation 0fbe11a8-925b-4d49-8365-804d4389dcb3 · outbound

This paper cites Scalable agent alignment via reward modeling: a research direction.

Weak-to-Strong Generalization via Direct On-Policy Distillation Scalable agent alignment via reward modeling: a research direction

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Observation c784bae3-20a2-41a5-974b-8598dea0a1d0 · outbound

This paper cites AI safety via debate.

Weak-to-Strong Generalization via Direct On-Policy Distillation AI safety via debate

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Observation efc4af27-2ee3-4a29-9127-9092046319d2 · outbound

This paper cites Measuring Progress on Scalable Oversight for Large Language Models.

Weak-to-Strong Generalization via Direct On-Policy Distillation Measuring Progress on Scalable Oversight for Large Language Models

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Observation 0ea91f91-1b4b-4cb1-a103-43bccd9bc4dc · outbound

This paper cites Artificial Sandwiching: When can we test scalable alignment protocols without humans?AI Alignment Forum, 2022.

Weak-to-Strong Generalization via Direct On-Policy Distillation Artificial Sandwiching: When can we test scalable alignment protocols without humans?AI Alignment Forum, 2022

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Observation 99441c2c-ca2f-4586-bf71-7c1011ce5e6f · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Weak-to-Strong Generalization via Direct On-Policy Distillation Constitutional AI: Harmlessness from AI Feedback

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Observation f2a85736-198b-47e0-94f0-3c6478938af2 · outbound

This paper cites Eliciting latent knowledge.

Weak-to-Strong Generalization via Direct On-Policy Distillation Eliciting latent knowledge

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Observation 5ddb4ac6-1bdc-4ba8-918d-16f06d406da1 · outbound

This paper cites Discovering Latent Knowledge in Language Models Without Supervision.

Weak-to-Strong Generalization via Direct On-Policy Distillation Discovering Latent Knowledge in Language Models Without Supervision

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Observation d59ddbb5-b5d1-453d-8626-7b68dba12af6 · outbound

This paper cites Can you learn an algorithm? generalizing from easy to hard problems with recurrent networks.

Weak-to-Strong Generalization via Direct On-Policy Distillation Can you learn an algorithm? generalizing from easy to hard problems with recurrent networks

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Observation e7e164f9-b7ce-4033-aa45-6d8ad297595e · outbound

This paper cites Datasets for Studying Generalization from Easy to Hard Examples.

Weak-to-Strong Generalization via Direct On-Policy Distillation Datasets for Studying Generalization from Easy to Hard Examples

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Observation 1e73740b-de68-4537-b9e3-29f49fd9d5fe · outbound

This paper cites Towards Scalable Automated Alignment of LLMs: A Survey.

Weak-to-Strong Generalization via Direct On-Policy Distillation Towards Scalable Automated Alignment of LLMs: A Survey

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Observation 0e6647ff-7514-4774-80c3-60e33af2a2fc · outbound

This paper cites Revisiting Weak-to-Strong Generalization in Theory and Practice: Reverse KL vs. Forward KL.

Weak-to-Strong Generalization via Direct On-Policy Distillation Revisiting Weak-to-Strong Generalization in Theory and Practice: Reverse KL vs. Forward KL

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Observation e7fe6e15-85a8-4a3d-97e2-033207bc1c2d · outbound

This paper cites On Weak-to-Strong Generalization and f-Divergence.

Weak-to-Strong Generalization via Direct On-Policy Distillation On Weak-to-Strong Generalization and f-Divergence

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Observation f24e9d31-ee6b-4b32-8a90-579283d1a286 · outbound

This paper cites Improving Weak-to-Strong Generalization with Scalable Oversight and Ensemble Learning.

Weak-to-Strong Generalization via Direct On-Policy Distillation Improving Weak-to-Strong Generalization with Scalable Oversight and Ensemble Learning

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Observation 05cc7a6e-dcbc-43d6-84f6-477e05ee8cee · outbound

This paper cites Incentivizing strong reasoning from weak supervision.arXiv preprint arXiv:2505.20072, 2025.

Weak-to-Strong Generalization via Direct On-Policy Distillation Incentivizing strong reasoning from weak supervision.arXiv preprint arXiv:2505.20072, 2025

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Observation 36f27840-916c-40e0-a746-c4ccd5e21f1b · outbound

This paper cites Self-Rewarding Language Models.

Weak-to-Strong Generalization via Direct On-Policy Distillation Self-Rewarding Language Models

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Observation 30059df4-9f93-4e88-8475-7f9ccd21f731 · outbound

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Weak-to-Strong Generalization via Direct On-Policy Distillation Weak-to-Strong Preference Optimization: Stealing Reward from Weak Aligned Model

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Observation 6a17ee42-4f29-47d8-9461-8c67c3ee4b4c · outbound

This paper cites A general theoretical paradigm to understand learning from human preferences.AISTATS, 2024.

Weak-to-Strong Generalization via Direct On-Policy Distillation A general theoretical paradigm to understand learning from human preferences.AISTATS, 2024

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Observation 0b6b0ef9-469d-4174-ba8c-81a441375b34 · outbound

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Weak-to-Strong Generalization via Direct On-Policy Distillation KTO: Model Alignment as Prospect Theoretic Optimization

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Observation 7a573a63-9006-4612-9cca-b45b8d2aab0a · outbound

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Weak-to-Strong Generalization via Direct On-Policy Distillation SimPO: Simple preference optimization with a reference-free reward

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Observation 61393b5f-49b2-49fd-bfbc-66143ca88918 · outbound

This paper cites Let's Verify Step by Step.

Weak-to-Strong Generalization via Direct On-Policy Distillation Let's Verify Step by Step

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Observation 6efae79e-95ab-44cf-9b7b-66b1143a3634 · outbound

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Weak-to-Strong Generalization via Direct On-Policy Distillation Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations

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Observation 9130062e-7c6d-431d-b775-576e47f93f5d · outbound

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Weak-to-Strong Generalization via Direct On-Policy Distillation Process Reinforcement through Implicit Rewards

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Weak-to-Strong Generalization via Direct On-Policy Distillation VinePPO: Refining Credit Assignment in RL Training of LLMs

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Pith citing papers

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Proxy Exploration and Reusable Guidance: A Modular LLM Post-Training Paradigm via Proxy-Guided Update Signals cites this paper.

Proxy Exploration and Reusable Guidance: A Modular LLM Post-Training Paradigm via Proxy-Guided Update Signals Weak-to-Strong Generalization via Direct On-Policy Distillation

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Observation fc5e68fa-d86f-46ee-8b20-62d69c403240 · inbound

Visual Contrastive Self-Distillation cites this paper.

Visual Contrastive Self-Distillation Weak-to-Strong Generalization via Direct On-Policy Distillation

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The Physics of Multi-Turn Long-Horizon Planning: From Pre-training to Post-training via Single- and Multi-Teacher On-Policy Agentic Distillation cites this paper.

The Physics of Multi-Turn Long-Horizon Planning: From Pre-training to Post-training via Single- and Multi-Teacher On-Policy Agentic Distillation Weak-to-Strong Generalization via Direct On-Policy Distillation

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Observation 2acfd7d2-a822-474e-a4f4-f0410f2bead1 · inbound

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Weak-to-Strong On-Policy Distillation Weak-to-Strong Generalization via Direct On-Policy Distillation

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