AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning | Paper Citation Record

Observation 82d516c7-7361-4464-8e74-9c0c1715ae86 · outbound

This paper cites 2026 , eprint=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning 2026 , eprint=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:24.992869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b876981-78b5-410b-af7a-3a85d061131b · outbound

This paper cites 2026 , eprint=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning 2026 , eprint=

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:24.998800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 942e9632-ec05-48bf-9c02-77f51e92b41e · outbound

This paper cites 2026 , eprint=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning 2026 , eprint=

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.004243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39cb9bad-9b74-4640-8722-3fa2f343bdf6 · outbound

This paper cites 2026 , eprint=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning 2026 , eprint=

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.009238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 667a98ec-614e-47d4-8999-26fb44de5b99 · outbound

This paper cites 2026 , eprint=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning 2026 , eprint=

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.034126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d3d36e5-cd90-433b-bacb-6f821ec383a5 · outbound

This paper cites 2026 , eprint=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning 2026 , eprint=

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:53:29.145173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 38f9310c-887e-4e49-82dc-a9f20ac46ec1 · outbound

This paper cites 2026 , eprint=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning 2026 , eprint=

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.115986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7c5d4b0-11bd-4d90-8efc-386bb35b325f · outbound

This paper cites 2026 , eprint=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning 2026 , eprint=

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.149185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b38d946d-e347-49ed-9f92-f7c6a045cff9 · outbound

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

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning Advances in Neural Information Processing Systems , volume=

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.176942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6aa2346-0797-4f1c-b7eb-0d3b0690e0f3 · outbound

This paper cites The eleventh international conference on learning representations , year=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning The eleventh international conference on learning representations , year=

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.189302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46fbc3ad-f81c-4ce0-a59e-7e629cc2bcbf · outbound

This paper cites ALFWorld: Aligning Text and Embodied Environments for Interactive Learning.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.218055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93c6b923-0541-4cbf-8dfc-cf2d80c5f27a · outbound

This paper cites Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.273982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80ccb4e7-5879-4ca6-8af8-86c1b2414914 · outbound

This paper cites Transactions of the Association for Computational Linguistics , volume=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning Transactions of the Association for Computational Linguistics , volume=

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.325014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05607002-a70e-44f7-bb3e-313b32897772 · outbound

This paper cites Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.341911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f802145-6ca0-4ede-bc71-aefee01ef16d · outbound

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

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning Proceedings of the 61st annual meeting of the association for computational linguistics (volume 1: Long papers) , pages=

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.354446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation baa8d1cd-9425-4610-b82a-e6bbd84bca61 · outbound

This paper cites Proceedings of the 2018 conference on empirical methods in natural language processing , pages=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning Proceedings of the 2018 conference on empirical methods in natural language processing , pages=

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.360089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5af50b8-21fb-4128-b71b-c30f7aa8743c · outbound

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

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning Proceedings of the 28th International Conference on Computational Linguistics , pages=

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.366573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38266335-f39a-499d-9c1c-93407a11ae7a · outbound

This paper cites Transactions of the Association for Computational Linguistics , volume=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning Transactions of the Association for Computational Linguistics , volume=

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.376814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47c397c8-2827-4ea1-97a6-b37411405097 · outbound

This paper cites Findings of the Association for Computational Linguistics: EMNLP 2023 , pages=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning Findings of the Association for Computational Linguistics: EMNLP 2023 , pages=

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.391568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59f97e98-7067-418a-9b87-e5456bdee721 · outbound

This paper cites Group-in-Group Policy Optimization for LLM Agent Training.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning Group-in-Group Policy Optimization for LLM Agent Training

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.400799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0799257c-2fd8-465b-8d62-1b94be6143c5 · outbound

This paper cites Text Embeddings by Weakly-Supervised Contrastive Pre-training.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning Text Embeddings by Weakly-Supervised Contrastive Pre-training

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.407335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e19984f0-4bd1-49d2-a2f6-1f328b391069 · outbound

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

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.413689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19a84209-762e-4208-8078-1552acbeca38 · outbound

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

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.418872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed2c257f-72f6-4040-8532-4305bb8a4b74 · outbound

This paper cites 2026 , eprint=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning 2026 , eprint=

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.424814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 435bca4a-1b8b-4bbf-babb-8c9198a3daf4 · outbound

This paper cites an unresolved cited work.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-07T19:53:28.960790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9b77dde9-97cb-4019-9b5b-082451aeb98a · outbound

This paper cites Qwen3 Technical Report.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning Qwen3 Technical Report

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.434211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d481ff67-37a9-46e6-9107-65384b2c8bc8 · outbound

This paper cites Kimi K2: Open Agentic Intelligence.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning Kimi K2: Open Agentic Intelligence

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.438567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3763a7ad-38f7-4568-ae6b-fe66c08fd348 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:53:28.902064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c197bb77-bb0a-48d7-9159-3b7a12768644 · outbound

This paper cites Proceedings of the ACM on Web Conference 2025 , pages=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning Proceedings of the ACM on Web Conference 2025 , pages=

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:53:28.850775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bbbdf02e-35a0-456f-8d4c-fce5ee880c45 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.454538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4862341c-860a-4872-984e-94d3f753b5e5 · outbound

This paper cites arXiv preprint arXiv:2601.16725 , year=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning arXiv preprint arXiv:2601.16725 , year=

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.459799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3057d07f-715f-4706-a0eb-4d67daca02a5 · outbound

This paper cites GPT-4o System Card.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning GPT-4o System Card

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.464858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08ba990a-7737-4c8c-828d-c4f80992a5dd · outbound

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

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning Advances in Neural Information Processing Systems , volume=

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.470259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e755faf-f6ac-40fe-96e7-97639f0b215f · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.475258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc2c9a41-6e4e-4169-98b9-6e3b1d2631e2 · outbound

This paper cites Agentic Reinforced Policy Optimization.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning Agentic Reinforced Policy Optimization

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.480329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e08336bb-95f8-45eb-ac97-0cc0c28fcf84 · outbound

This paper cites 2026 , eprint=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning 2026 , eprint=

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.484747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 572c8c8f-2052-4491-9a37-6cd4287f1e2d · outbound

This paper cites 2026 , eprint=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning 2026 , eprint=

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.511208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eafcfba5-3be3-4aa8-b6e1-d2ba35632447 · outbound

This paper cites 2026 , eprint=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning 2026 , eprint=

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.549779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0782cfde-7851-4e2e-ac2c-4037575d4ff3 · outbound

This paper cites 2026 , eprint=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning 2026 , eprint=

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.564156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8afca331-ee0c-4835-bc1b-a594829a9ecc · outbound

This paper cites 2026 , eprint=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning 2026 , eprint=

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.595205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6655eeed-dbc9-4b51-b32e-426f2c580a98 · outbound

This paper cites 2026 , eprint=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning 2026 , eprint=

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:53:28.619108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d506fd67-ed4c-452e-9700-251ccf57922a · outbound

This paper cites 2023 , eprint=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning 2023 , eprint=

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.647136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0694b948-1b45-429c-b819-511adca85e8b · outbound

This paper cites 2011 , eprint=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning 2011 , eprint=

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.671107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d9835cf-a47d-46c9-a800-00dddecdce5e · outbound

This paper cites 2026 , eprint=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning 2026 , eprint=

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.719544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51d3c44d-c768-4c71-8091-f0dc1852d21d · outbound

This paper cites 2019 , eprint=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning 2019 , eprint=

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:53:28.481273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 26c3af54-464c-4908-9818-21de4473cd16 · outbound

This paper cites Mobile-Agent-v3: Fundamental Agents for GUI Automation.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning Mobile-Agent-v3: Fundamental Agents for GUI Automation

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.765585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69b7dcf3-89c5-4f58-878c-33c07661a583 · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.786093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0db4c0b-5dc5-4c92-861a-cdd6372cfdf0 · outbound

This paper cites 2024 , eprint=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning 2024 , eprint=

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.791433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eee1988e-068f-45b6-b20e-d4002c8314f8 · outbound

This paper cites 2026 , eprint=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning 2026 , eprint=

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.796098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97c813f3-7da2-420d-a63b-8389b4d8abb0 · outbound

This paper cites 2023 , eprint=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning 2023 , eprint=

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.800734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53474c2f-3fdb-4541-b82d-b9b86cbf9833 · outbound

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

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.805370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3236c731-949b-4c7e-9279-ebe740505a87 · outbound

This paper cites 2026 , eprint=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning 2026 , eprint=

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:53:28.317587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d6c29359-0c29-4e01-a06c-fa5bb5030e1f · outbound

This paper cites arXiv preprint arXiv:2602.03048 , year=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning arXiv preprint arXiv:2602.03048 , year=

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.824341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9e66127-70dc-4a95-9552-615c82320dc8 · outbound

This paper cites 2026 , eprint=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning 2026 , eprint=

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:53:28.237592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 21728072-1869-488f-9096-e1cef7744cfa · outbound

This paper cites 2026 , eprint=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning 2026 , eprint=

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:53:28.206314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 34ea40fb-8d47-4cd8-9d2d-bbc6dac40c63 · outbound

This paper cites 2026 , eprint=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning 2026 , eprint=

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:53:28.190864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9808c1ba-c370-49b1-9be9-5c1f14521c1d · outbound

This paper cites 2017 , eprint=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning 2017 , eprint=

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.872410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af5e4c2e-d7f3-4cad-b2d3-cda22e9a7338 · outbound

This paper cites 2016 , eprint=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning 2016 , eprint=

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:53:28.165787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 571504e8-9896-4662-9772-a7c3a091c430 · outbound

This paper cites 2019 , eprint=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning 2019 , eprint=

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:53:28.149599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a7b45576-74ae-44ce-9fa0-e0d633787833 · outbound

This paper cites 2024 , eprint=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning 2024 , eprint=

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:53:28.134605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d362eef3-4808-431e-8529-c8335ed30d54 · outbound

This paper cites 2025 , eprint=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning 2025 , eprint=

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.892424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bc4c876-61cf-4ab1-a78b-c0ae6c7cb9d3 · outbound

This paper cites Journal of the American Statistical Association , volume=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning Journal of the American Statistical Association , volume=

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:53:28.107894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cbb49228-4cbd-44e1-b1c6-5957ad50e682 · outbound

This paper cites The Annals of Mathematical Statistics , volume=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning The Annals of Mathematical Statistics , volume=

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:53:28.091321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0c69cbd7-d25b-445e-a4ff-0cc00bd9f76b · outbound

This paper cites SEED: Self-Evolving On-Policy Distillation for Agentic Reinforcement Learning.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning SEED: Self-Evolving On-Policy Distillation for Agentic Reinforcement Learning

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.906690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f139449b-87b8-44c3-8130-b16a48d37b81 · outbound

This paper cites OPID: On-Policy Skill Distillation for Agentic Reinforcement Learning.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning OPID: On-Policy Skill Distillation for Agentic Reinforcement Learning

Reference 65

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T19:53:27.087135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 711881f7-a651-4888-8f97-894bf50f5a8a · outbound

This paper cites SkillRise: Agentic Reinforcement Learning for Cross-Task Skill Evolution.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning SkillRise: Agentic Reinforcement Learning for Cross-Task Skill Evolution

Reference 66

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T19:53:27.063688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2822f740-672d-41cc-8588-6f1dfa8c2170 · outbound

This paper cites Self-Distilled Agentic Reinforcement Learning.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning Self-Distilled Agentic Reinforcement Learning

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.921007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe8762e6-3bb4-47ce-b6a6-1854bb9d4d11 · outbound

This paper cites Artificial Intelligence , volume =.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning Artificial Intelligence , volume =

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.926059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 320f4540-0391-40a4-9ae5-48be7875b92c · outbound

This paper cites Journal of Mathematical Analysis and Applications , volume =.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning Journal of Mathematical Analysis and Applications , volume =

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:53:28.062099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9a0b8028-fd40-4eb3-8fe3-a26b2292cfc6 · outbound

This paper cites arXiv preprint arXiv:2602.07594 , year=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning arXiv preprint arXiv:2602.07594 , year=

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.935615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe176c02-ad4a-4efa-b45b-4c78bc7b7dff · outbound

This paper cites Look Before You Leap: Autonomous Exploration for LLM Agents.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning Look Before You Leap: Autonomous Exploration for LLM Agents

Reference 71

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T19:53:26.818924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c41e9e68-7cc8-458d-8f78-953acbafccda · outbound

This paper cites arXiv preprint arXiv:2601.14050 , year=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning arXiv preprint arXiv:2601.14050 , year=

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:25.959586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1c9e453-598e-4be7-979c-de5c7e49473d · outbound

This paper cites Tiny Brains, Giant Impact: Uncovering the Keystone Neurons of LLM with Just a Few Prompts.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning Tiny Brains, Giant Impact: Uncovering the Keystone Neurons of LLM with Just a Few Prompts

Reference 73

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T19:53:26.507641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 81cb3325-a230-4c30-89de-3c6bf51209f1 · outbound

This paper cites Memento: Fine-tuning LLM Agents without Fine-tuning LLMs.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning Memento: Fine-tuning LLM Agents without Fine-tuning LLMs

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:26.038845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2972291e-fd12-47ea-83e2-d0fd5007ea01 · outbound

This paper cites Reducing Tool Hallucination via Reliability Alignment.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning Reducing Tool Hallucination via Reliability Alignment

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:26.084902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d28bd039-8e3e-45fc-a621-9b7d51d947a0 · outbound

This paper cites Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:26.141889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f511aa7-b0b0-485b-993e-0790a83398b0 · outbound

This paper cites arXiv preprint arXiv:2509.11543 , year=.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning arXiv preprint arXiv:2509.11543 , year=

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-07T19:53:26.173725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers