Weak-to-Strong On-Policy Distillation | Paper Citation Record

Observation a55e3b13-c499-41f3-a9df-7c98c08bb6a7 · outbound

This paper cites 2023 , url =.

Weak-to-Strong On-Policy Distillation 2023 , url =

Reference 1

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Observation 0b98eabb-a83e-43af-a504-59cfa30af337 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Weak-to-Strong On-Policy Distillation Advances in Neural Information Processing Systems , volume=

Reference 2

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Observation 1c864ef5-01f8-437b-acff-74d61ed00ec4 · outbound

This paper cites Reward Hacking in Rubric-Based Reinforcement Learning.

Weak-to-Strong On-Policy Distillation Reward Hacking in Rubric-Based Reinforcement Learning

Reference 3

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Observation 1a908c5d-8948-4ca4-9a96-a873126f5d7a · outbound

This paper cites 2025 , note =.

Weak-to-Strong On-Policy Distillation 2025 , note =

Reference 4

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Observation 677d4984-feb0-4f21-a993-5c8643224f4f · outbound

This paper cites arXiv preprint arXiv:2602.05125 , year=.

Weak-to-Strong On-Policy Distillation arXiv preprint arXiv:2602.05125 , year=

Reference 5

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Observation 006f6611-7d5a-4803-bf55-5ebf1a46730c · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Weak-to-Strong On-Policy Distillation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 6

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Observation 639f0405-e45b-4a12-a8e3-6223f89ce915 · outbound

This paper cites arXiv preprint arXiv:2602.21628 , year=.

Weak-to-Strong On-Policy Distillation arXiv preprint arXiv:2602.21628 , year=

Reference 7

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Observation 9cda11fd-c187-4577-8691-28bea1c15d20 · outbound

This paper cites Omni-RRM: Advancing Omni Reward Modeling via Automatic Rubric-Grounded Preference Synthesis.

Weak-to-Strong On-Policy Distillation Omni-RRM: Advancing Omni Reward Modeling via Automatic Rubric-Grounded Preference Synthesis

Reference 8

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Observation 0871ec89-fb5b-463e-99cb-29e8befd5f31 · outbound

This paper cites arXiv preprint arXiv:2603.16600 , year=.

Weak-to-Strong On-Policy Distillation arXiv preprint arXiv:2603.16600 , year=

Reference 9

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Observation da442d1f-fc9d-49ad-8ffc-c454aa514be0 · outbound

This paper cites Visual Preference Optimization with Rubric Rewards.

Weak-to-Strong On-Policy Distillation Visual Preference Optimization with Rubric Rewards

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:16.096591Z

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Observation d429081d-d486-4714-9c52-292a569175ca · outbound

This paper cites AutoRubric: Rubric-Based Generative Rewards for Faithful Multimodal Reasoning.

Weak-to-Strong On-Policy Distillation AutoRubric: Rubric-Based Generative Rewards for Faithful Multimodal Reasoning

Reference 11

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Observation e4fe1920-783a-4f79-ab11-06a492ee180f · outbound

This paper cites arXiv preprint arXiv:2602.04649 , year=.

Weak-to-Strong On-Policy Distillation arXiv preprint arXiv:2602.04649 , year=

Reference 12

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Observation 7b15dc30-8edf-48be-a0b3-3e8fa9f599d3 · outbound

This paper cites arXiv preprint arXiv:2602.01511 , year=.

Weak-to-Strong On-Policy Distillation arXiv preprint arXiv:2602.01511 , year=

Reference 13

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Observation 76b69197-bb43-49de-8bb2-a74ca4509762 · outbound

This paper cites arXiv preprint arXiv:2510.07284 , year=.

Weak-to-Strong On-Policy Distillation arXiv preprint arXiv:2510.07284 , year=

Reference 14

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Observation 62685b6b-c711-40df-8f86-94c4f5657f9b · outbound

This paper cites arXiv preprint arXiv:2602.10885 , year=.

Weak-to-Strong On-Policy Distillation arXiv preprint arXiv:2602.10885 , year=

Reference 15

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Observation a03b8643-3e72-4672-ad6a-613268853c67 · outbound

This paper cites DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research.

Weak-to-Strong On-Policy Distillation DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research

Reference 16

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Observation 299cef2e-f7a1-4c40-a823-698df32a7ad4 · outbound

This paper cites arXiv preprint arXiv:2508.16949 , year=.

Weak-to-Strong On-Policy Distillation arXiv preprint arXiv:2508.16949 , year=

Reference 17

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Observation 39a7433e-7c50-4e95-97dd-de4d767ba954 · outbound

This paper cites arXiv e-prints , pages=.

Weak-to-Strong On-Policy Distillation arXiv e-prints , pages=

Reference 18

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Observation 8923774d-4bab-4dfa-a16f-ae65f4622edc · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2025 , pages=.

Weak-to-Strong On-Policy Distillation Findings of the Association for Computational Linguistics: ACL 2025 , pages=

Reference 19

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Observation ec8c4125-4bb0-43ba-ae08-fcd8b4bf7ad1 · outbound

This paper cites arXiv preprint arXiv:2510.07743 , year=.

Weak-to-Strong On-Policy Distillation arXiv preprint arXiv:2510.07743 , year=

Reference 20

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Observation e3000590-d0fd-4309-b7fb-988c6e303879 · outbound

This paper cites International Conference on Learning Representations , volume=.

Weak-to-Strong On-Policy Distillation International Conference on Learning Representations , volume=

Reference 21

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Observation ffec460e-c4e1-4ddc-bfb3-2b4b6d1f12cd · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Weak-to-Strong On-Policy Distillation Advances in Neural Information Processing Systems , volume=

Reference 22

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Observation 65e970fa-7d0a-46fb-b353-40a2e1e26338 · outbound

This paper cites arXiv preprint arXiv:2512.20061 , year=.

Weak-to-Strong On-Policy Distillation arXiv preprint arXiv:2512.20061 , year=

Reference 23

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Observation f6a70df5-0642-4629-8189-8893c9b177de · outbound

This paper cites Video-OPD: Efficient Post-Training of Multimodal Large Language Models for Temporal Video Grounding via On-Policy Distillation.

Weak-to-Strong On-Policy Distillation Video-OPD: Efficient Post-Training of Multimodal Large Language Models for Temporal Video Grounding via On-Policy Distillation

Reference 24

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Observation 1be3d6c8-d0e9-4690-9568-74779c25ffba · outbound

This paper cites Supervising strong learners by amplifying weak experts.

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

Reference 25

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Observation db40f63f-2d42-4e8f-93b3-12156ddc3a35 · outbound

This paper cites Qwen3 Technical Report.

Weak-to-Strong On-Policy Distillation Qwen3 Technical Report

Reference 26

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Observation 69862301-f537-479d-aada-98241c185954 · outbound

This paper cites International Conference on Learning Representations , volume=.

Weak-to-Strong On-Policy Distillation International Conference on Learning Representations , volume=

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:19.591846Z

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Observation db04f71e-3553-4fa2-b3bc-94c389c63824 · outbound

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

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

Reference 28

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Observation 9464bd17-9fdc-4dbd-9619-35e7de9a558e · outbound

This paper cites Decomposed On-Policy Distillation for Vision-Language Reasoning: Steering Gradients for Visual Grounding.

Weak-to-Strong On-Policy Distillation Decomposed On-Policy Distillation for Vision-Language Reasoning: Steering Gradients for Visual Grounding

Reference 29

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Observation 84301b1e-46b5-4694-b6b0-7c96d67735c7 · outbound

This paper cites Visual-Advantage On-Policy Distillation for Vision-Language Models.

Weak-to-Strong On-Policy Distillation Visual-Advantage On-Policy Distillation for Vision-Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:20.175720Z

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Observation 36264d60-5706-4ffc-bb4f-46b3862198b3 · outbound

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

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

Reference 31

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Observation b8ea40b1-dbf9-4830-9e99-001e47010cd4 · outbound

This paper cites arXiv preprint arXiv:2603.11137 , year=.

Weak-to-Strong On-Policy Distillation arXiv preprint arXiv:2603.11137 , year=

Reference 32

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Observation 632eaca8-dd22-4823-8081-9582477f93a5 · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2026 , pages=.

Weak-to-Strong On-Policy Distillation Findings of the Association for Computational Linguistics: ACL 2026 , pages=

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:20.375260Z

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Observation 0e964ad5-61da-4ce8-aee5-a9cf713c83b8 · outbound

This paper cites Trust Region On-Policy Distillation.

Weak-to-Strong On-Policy Distillation Trust Region On-Policy Distillation

Reference 34

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Observation 51a7aace-0dae-4ea7-9aee-d81e65b0b1f9 · outbound

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

Weak-to-Strong On-Policy Distillation On-Policy Context Distillation for Language Models

Reference 35

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Observation 494cfeca-5b07-415c-a35c-f22e57f58bc9 · outbound

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

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

Reference 36

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Observation 28370f0e-353e-4643-8770-11392d2ec6a7 · outbound

This paper cites Self-Distillation Enables Continual Learning.

Weak-to-Strong On-Policy Distillation Self-Distillation Enables Continual Learning

Reference 37

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Observation 2b7daaf2-3ecf-42ef-a436-68fdfaad4df4 · outbound

This paper cites Counteraction-Aware Multi-Teacher On-Policy Distillation for General Capability Recovery with Domain Preservation.

Weak-to-Strong On-Policy Distillation Counteraction-Aware Multi-Teacher On-Policy Distillation for General Capability Recovery with Domain Preservation

Reference 38

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Observation 209dfac0-a02f-4367-86b5-db31710fbe08 · outbound

This paper cites Reinforcement Learning via Self-Distillation.

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

Reference 39

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Observation 636c4765-8586-48d5-9811-753e16541890 · outbound

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

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

Reference 40

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Observation 0f27cec9-87df-4c2f-afc4-bdaf1c935fa4 · outbound

This paper cites Hybrid Policy Distillation for LLMs.

Weak-to-Strong On-Policy Distillation Hybrid Policy Distillation for LLMs

Reference 41

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Observation e76c0b05-541f-4199-9896-e5336725ddf1 · outbound

This paper cites COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability.

Weak-to-Strong On-Policy Distillation COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:21.232534Z

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

This paper cites Weak-to-Strong Generalization via Direct On-Policy Distillation.

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

Reference 43

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Observation 18a9142f-aa88-46cb-b5be-814ee3dece4b · outbound

This paper cites RLCSD: Reinforcement Learning with Contrastive On-Policy Self-Distillation.

Weak-to-Strong On-Policy Distillation RLCSD: Reinforcement Learning with Contrastive On-Policy Self-Distillation

Reference 44

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Observation 78f458b4-ce1c-4dcb-a495-b0aa78de20cb · outbound

This paper cites Self-Distilled RLVR.

Weak-to-Strong On-Policy Distillation Self-Distilled RLVR

Reference 45

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Observation 0d2af395-005c-485c-b510-1ae3584bd838 · outbound

This paper cites 2014 , publisher=.

Weak-to-Strong On-Policy Distillation 2014 , publisher=

Reference 46

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Observation 06afe223-7a1c-4bcb-8860-6598bedfd0d8 · outbound

This paper cites Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

Weak-to-Strong On-Policy Distillation Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 47

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Observation c85603ec-c901-468a-b644-c5089c74f37c · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Weak-to-Strong On-Policy Distillation Advances in Neural Information Processing Systems , volume=

Reference 48

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Observation 3a33cd26-26fc-420b-ba7f-df9a03ac50b0 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Weak-to-Strong On-Policy Distillation Advances in Neural Information Processing Systems , volume=

Reference 49

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Observation 07e9f883-f5a4-431d-861a-15f32f0390ec · outbound

This paper cites Findings of the Association for Computational Linguistics: EMNLP 2021 , pages=.

Weak-to-Strong On-Policy Distillation Findings of the Association for Computational Linguistics: EMNLP 2021 , pages=

Reference 50

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Observation 93ec4a7f-4515-41f3-8d9c-571389d6a9e9 · outbound

This paper cites Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , pages=.

Weak-to-Strong On-Policy Distillation Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , pages=

Reference 51

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Observation 43156568-3c94-45cc-a0bd-a5ac98e111e7 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Weak-to-Strong On-Policy Distillation Advances in Neural Information Processing Systems , volume=

Reference 52

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Observation 253f5438-7de0-4c24-990d-9fdbf66d7a7f · outbound

This paper cites CoCon: A Self-Supervised Approach for Controlled Text Generation.

Weak-to-Strong On-Policy Distillation CoCon: A Self-Supervised Approach for Controlled Text Generation

Reference 53

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Observation e935d567-d00c-4e21-889d-501110686e46 · outbound

This paper cites CTRL: A Conditional Transformer Language Model for Controllable Generation.

Weak-to-Strong On-Policy Distillation CTRL: A Conditional Transformer Language Model for Controllable Generation

Reference 54

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Observation 5ee0fe25-c22e-4f53-bd3f-919500e7e411 · outbound

This paper cites Proceedings of the 28th International Conference on Computational Linguistics , pages=.

Weak-to-Strong On-Policy Distillation Proceedings of the 28th International Conference on Computational Linguistics , pages=

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:22.448551Z

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Observation bb56fba7-daac-4730-8568-69fe9a3d89f2 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Weak-to-Strong On-Policy Distillation Advances in Neural Information Processing Systems , volume=

Reference 56

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Observation dac88f3f-3967-4195-aa21-c0bc85aeca8a · outbound

This paper cites MOPD: Multi-Teacher On-Policy Distillation for Capability Integration in LLM Post-Training.

Weak-to-Strong On-Policy Distillation MOPD: Multi-Teacher On-Policy Distillation for Capability Integration in LLM Post-Training

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:22.644318Z

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Observation 2f99256b-e251-4b69-a2ac-3f17cd92ca48 · outbound

This paper cites GLM-5: from Vibe Coding to Agentic Engineering.

Weak-to-Strong On-Policy Distillation GLM-5: from Vibe Coding to Agentic Engineering

Reference 58

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Observation 157ed573-e4cd-4d1b-889f-721a05705655 · outbound

This paper cites arXiv preprint arXiv:2606.19348 , year=.

Weak-to-Strong On-Policy Distillation arXiv preprint arXiv:2606.19348 , year=

Reference 59

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Observation 5827e367-6e79-401a-a52b-05cd9481865a · outbound

This paper cites Findings of the Association for Computational Linguistics: EMNLP 2024 , pages=.

Weak-to-Strong On-Policy Distillation Findings of the Association for Computational Linguistics: EMNLP 2024 , pages=

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:23.018580Z

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Observation 1c61612d-ee26-4b4a-8e00-aa7796aa28de · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

Weak-to-Strong On-Policy Distillation GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:23.123274Z

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Observation b2002792-b551-48b3-bd2e-d08f571dd581 · outbound

This paper cites an unresolved cited work.

Weak-to-Strong On-Policy Distillation Unresolved cited work

Reference 62

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Observation 8d2eae3d-df45-4cb0-b8b3-41f5bfc8df15 · outbound

This paper cites Tuning Language Models by Proxy.

Weak-to-Strong On-Policy Distillation Tuning Language Models by Proxy

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:23.349392Z

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Observation 089f2637-e4c5-4abe-8244-3183a9e4b8ef · outbound

This paper cites Proceedings of the 61st annual meeting of the association for computational linguistics (volume 1: Long papers) , pages=.

Weak-to-Strong On-Policy Distillation Proceedings of the 61st annual meeting of the association for computational linguistics (volume 1: Long papers) , pages=

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:23.485869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d36fda2-fe7c-4062-a652-e9c3230f42a5 · outbound

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

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

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:23.639872Z

Source-reported events for the cited work

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Observation 47529e3a-b68b-475c-a2c1-45808eaf61f4 · outbound

This paper cites Weak-to-Strong Jailbreaking on Large Language Models.

Weak-to-Strong On-Policy Distillation Weak-to-Strong Jailbreaking on Large Language Models

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:23.761661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 758799fa-3759-42e2-924b-4af9fd0f8e79 · outbound

This paper cites MiMo-V2-Flash Technical Report.

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

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:23.854870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0481d0ab-0c81-4ada-a26a-0a30a6c5ed41 · outbound

This paper cites Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

Weak-to-Strong On-Policy Distillation Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:23.981367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c4c09e2-dd65-4459-9260-675426845d9d · outbound

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

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

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:24.105193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1f25405-7ce8-4f61-bde8-9050768d3c59 · outbound

This paper cites OPRD: On-Policy Representation Distillation.

Weak-to-Strong On-Policy Distillation OPRD: On-Policy Representation Distillation

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:24.196739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a09903bf-b5fe-4800-a220-d29b7586c4b5 · outbound

This paper cites International Conference on Learning Representations , volume=.

Weak-to-Strong On-Policy Distillation International Conference on Learning Representations , volume=

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:24.281183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c823c9a8-9ad6-4bfc-90ff-6d8e63403ce3 · outbound

This paper cites forward KL , author=.

Weak-to-Strong On-Policy Distillation forward KL , author=

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:24.364454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0520c4a3-0016-4277-8f82-b08a4d8420d7 · outbound

This paper cites Thinking Machines Lab: Connectionism , year =.

Weak-to-Strong On-Policy Distillation Thinking Machines Lab: Connectionism , year =

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:24.506888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16c884cc-ed3e-4ddd-82b3-af3c5fff7bfc · outbound

This paper cites Process Reinforcement through Implicit Rewards.

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

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:24.653402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88f7e6cc-8d1e-4b30-af61-8d381d919c6b · outbound

This paper cites an unresolved cited work.

Weak-to-Strong On-Policy Distillation Unresolved cited work

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:24.768775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c36225b-6de3-4a63-8363-09d4bb8883ad · outbound

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

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

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:24.869605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3545e34-3207-4116-a722-9fa81021fc4a · outbound

This paper cites an unresolved cited work.

Weak-to-Strong On-Policy Distillation Unresolved cited work

Reference 77

Resolution: parse uncertain; no resolver link, observed 2026-08-01T00:26:24.970768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ad81f8e-c470-4db2-ab72-2650a284f41f · outbound

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

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

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:25.081268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f4b306e-70d4-4ba6-b213-8a912aec2beb · outbound

This paper cites International Conference on Learning Representations , volume=.

Weak-to-Strong On-Policy Distillation International Conference on Learning Representations , volume=

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:25.169140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ec05144-8310-486f-87ca-4951390c544d · outbound

This paper cites URL https://matharena.

Weak-to-Strong On-Policy Distillation URL https://matharena

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:25.288499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7007b13-9e96-4e96-8c59-eaa8731a194d · outbound

This paper cites Advances in neural information processing systems , volume=.

Weak-to-Strong On-Policy Distillation Advances in neural information processing systems , volume=

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:25.385382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc9af86c-2049-46c8-8961-415335480d90 · outbound

This paper cites Kimi-Audio Technical Report.

Weak-to-Strong On-Policy Distillation Kimi-Audio Technical Report

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:25.522384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9083144a-06bf-4bbd-8be3-d5e6c2285e44 · outbound

This paper cites 2023 , url =.

Weak-to-Strong On-Policy Distillation 2023 , url =

Reference 83

Resolution: verified exact; doi, observed 2026-08-01T00:31:07.749637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c6893a8c-bff4-45e4-9398-5ea127d52293 · outbound

This paper cites Audio Flamingo 2: An Audio-Language Model with Long-Audio Understanding and Expert Reasoning Abilities.

Weak-to-Strong On-Policy Distillation Audio Flamingo 2: An Audio-Language Model with Long-Audio Understanding and Expert Reasoning Abilities

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:25.777254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb2323cc-1287-40c3-8a37-80c2e4629719 · outbound

This paper cites Audio Flamingo 3: Advancing Audio Intelligence with Fully Open Large Audio Language Models.

Weak-to-Strong On-Policy Distillation Audio Flamingo 3: Advancing Audio Intelligence with Fully Open Large Audio Language Models

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:25.893734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79532ab5-4cd3-4c0d-bd19-67e062b0a829 · outbound

This paper cites Proceedings of the 30th ACM International Conference on Multimedia , pages=.

Weak-to-Strong On-Policy Distillation Proceedings of the 30th ACM International Conference on Multimedia , pages=

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:26.023285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb25a9cb-433e-4cab-8feb-472ff4b34a52 · outbound

This paper cites GPT-4o System Card.

Weak-to-Strong On-Policy Distillation GPT-4o System Card

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:26.156814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5180e38-2847-4134-b0f5-909d126e32f3 · outbound

This paper cites GPT-4 Technical Report.

Weak-to-Strong On-Policy Distillation GPT-4 Technical Report

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:26.284433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3da63c6d-a74d-4676-b508-94c041a0e928 · outbound

This paper cites Wav2CLIP: Learning Robust Audio Representations from Clip , booktitle =.

Weak-to-Strong On-Policy Distillation Wav2CLIP: Learning Robust Audio Representations from Clip , booktitle =

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:26.410915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e3257b0-76a2-4728-9ec5-65a4a13295e1 · outbound

This paper cites Pengi: An Audio Language Model for Audio Tasks , booktitle =.

Weak-to-Strong On-Policy Distillation Pengi: An Audio Language Model for Audio Tasks , booktitle =

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:26.473503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b947c43a-0fcb-454a-8c9c-301e68ef6763 · outbound

This paper cites Liu and Leonid Karlinsky and James R.

Weak-to-Strong On-Policy Distillation Liu and Leonid Karlinsky and James R

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:26.552685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e396538-fabf-40f1-81ca-84b80593d622 · outbound

This paper cites Optimal Transport for Treatment Effect Estimation , booktitle =.

Weak-to-Strong On-Policy Distillation Optimal Transport for Treatment Effect Estimation , booktitle =

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:26.585832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13963a24-32b3-43d2-8240-2305c8148ca8 · outbound

This paper cites A Review for Deep Reinforcement Learning in Atari:Benchmarks, Challenges, and Solutions.

Weak-to-Strong On-Policy Distillation A Review for Deep Reinforcement Learning in Atari:Benchmarks, Challenges, and Solutions

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:26.646865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d5a76d6-8cb4-428a-b125-2269d5616a53 · outbound

This paper cites Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection , booktitle =.

Weak-to-Strong On-Policy Distillation Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection , booktitle =

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:26.784799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b78ee796-4202-4f8f-b32e-934422834d0b · outbound

This paper cites Generalized Data Distribution Iteration , booktitle =.

Weak-to-Strong On-Policy Distillation Generalized Data Distribution Iteration , booktitle =

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:26.902413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d5146a5-1679-4da3-a8f8-e126d4c3fccd · outbound

This paper cites GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning.

Weak-to-Strong On-Policy Distillation GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:27.063018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa07a1eb-f80c-46bc-8e96-57f92e94889b · outbound

This paper cites CoRR , volume =.

Weak-to-Strong On-Policy Distillation CoRR , volume =

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:27.202175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 687fa503-d69e-4af9-bc57-3db573a602a2 · outbound

This paper cites ConvFormer: Revisiting Transformer for Sequential User Modeling.

Weak-to-Strong On-Policy Distillation ConvFormer: Revisiting Transformer for Sequential User Modeling

Reference 98

Resolution: verified exact; local_arxiv, observed 2026-08-01T00:31:07.611462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e8c97fdf-3f00-4a8d-8e9a-aa05912b2393 · outbound

This paper cites An Entropy Regularization Free Mechanism for Policy-based Reinforcement Learning.

Weak-to-Strong On-Policy Distillation An Entropy Regularization Free Mechanism for Policy-based Reinforcement Learning

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:27.446030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e213f62-0170-4e5d-a5de-2178c5515c25 · outbound

This paper cites CoRR , volume =.

Weak-to-Strong On-Policy Distillation CoRR , volume =

Reference 100

Resolution: verified exact; arxiv_id, observed 2026-08-01T00:31:07.518318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Reference resolution

Outbound references

Pith citing papers