Paper Citation Record · LEDGER

Group-Reflective Self-Distillation for Agentic Reinforcement Learning

As of 20 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2607.28076.

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

pith.paper-citation-record.v1
2607.28076 v2

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T03:23:33.135384Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

42 of 42 outbound references displayed

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Outbound references

Observation 8e8172bb-79c1-4e07-b25f-fba0ce655d3f · outbound

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

Group-Reflective Self-Distillation for Agentic Reinforcement Learning Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models

Reference 1

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Observation fc31096d-43f2-4f8e-9935-2b9f4e82ed6a · outbound

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

Group-Reflective Self-Distillation for Agentic Reinforcement Learning International Conference on Learning Representations , volume=

Reference 2

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Observation ff66f73c-6472-40f4-a603-001d30a933bd · outbound

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

Group-Reflective Self-Distillation for Agentic Reinforcement Learning International Conference on Learning Representations , volume=

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T03:23:28.612759Z

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Observation 702411f5-9bf0-409c-8c52-aa436248288b · outbound

This paper cites SCOPE: Signal-Calibrated On-Policy Distillation Enhancement with Dual-Path Adaptive Weighting.

Group-Reflective Self-Distillation for Agentic Reinforcement Learning SCOPE: Signal-Calibrated On-Policy Distillation Enhancement with Dual-Path Adaptive Weighting

Reference 4

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Observation ecd3a71d-e623-4109-8a4f-04109f6b960b · outbound

This paper cites arXiv preprint arXiv:2511.10643 , year=.

Group-Reflective Self-Distillation for Agentic Reinforcement Learning arXiv preprint arXiv:2511.10643 , year=

Reference 5

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Observation b6733b28-0330-44a9-a61d-f415abe92211 · outbound

This paper cites SimCT: Recovering Lost Supervision for Cross-Tokenizer On-Policy Distillation.

Group-Reflective Self-Distillation for Agentic Reinforcement Learning SimCT: Recovering Lost Supervision for Cross-Tokenizer On-Policy Distillation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T03:23:28.881458Z

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Observation b46b6cc4-bf9a-4c43-a2cc-4b3c902ec7fc · outbound

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

Group-Reflective Self-Distillation for Agentic Reinforcement Learning Revisiting On-Policy Distillation: Empirical Failure Modes and Simple Fixes

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T03:23:28.979456Z

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Observation 253bba33-4b18-48a6-a081-dd3df9188149 · outbound

This paper cites TIP: Token Importance in On-Policy Distillation.

Group-Reflective Self-Distillation for Agentic Reinforcement Learning TIP: Token Importance in On-Policy Distillation

Reference 8

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Observation 9893034f-faf8-49cc-8406-e8ab0adc43ed · outbound

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

Group-Reflective Self-Distillation for Agentic Reinforcement Learning Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe

Reference 9

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Observation b9a2bbab-cb7c-4910-8365-1ea8ff42b21a · outbound

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

Group-Reflective Self-Distillation for Agentic Reinforcement Learning Reinforcement-aware Knowledge Distillation for LLM Reasoning

Reference 10

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Observation d403953d-0e33-4607-bf60-1684d2c52883 · outbound

This paper cites Self-Distilled RLVR.

Group-Reflective Self-Distillation for Agentic Reinforcement Learning Self-Distilled RLVR

Reference 11

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Observation 40dd717c-e0a2-4327-93da-c29ad0f50f90 · outbound

This paper cites Self-Distilled Agentic Reinforcement Learning.

Group-Reflective Self-Distillation for Agentic Reinforcement Learning Self-Distilled Agentic Reinforcement Learning

Reference 12

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Observation 7d5cda3f-e3be-4a2a-bfa1-8534a31fdd6f · outbound

This paper cites Skill-SD: Skill-Conditioned Self-Distillation for Multi-turn LLM Agents.

Group-Reflective Self-Distillation for Agentic Reinforcement Learning Skill-SD: Skill-Conditioned Self-Distillation for Multi-turn LLM Agents

Reference 13

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Observation 3c96f8ff-7d79-426f-ad57-19f8d77f4368 · outbound

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

Group-Reflective Self-Distillation for Agentic Reinforcement Learning OPID: On-Policy Skill Distillation for Agentic Reinforcement Learning

Reference 14

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Observation acc7dedf-2d15-4036-b452-5ec1a670beff · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

Group-Reflective Self-Distillation for Agentic Reinforcement Learning ReAct: Synergizing Reasoning and Acting in Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T03:23:29.738704Z

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Observation 18f0648c-eb94-4cab-b66d-39a6ba55cd0f · outbound

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

Group-Reflective Self-Distillation for Agentic Reinforcement Learning Advances in neural information processing systems , volume=

Reference 16

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Observation 60f2afc6-7a34-479a-b357-7e79203781e3 · outbound

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

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

Reference 17

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Observation 32638830-3b3c-4b9b-97ec-8cc6bf756421 · outbound

This paper cites ECHO: Prune To Act, Trace To Learn With Selective Turn Memory In Agentic RL.

Group-Reflective Self-Distillation for Agentic Reinforcement Learning ECHO: Prune To Act, Trace To Learn With Selective Turn Memory In Agentic RL

Reference 18

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Observation a3227e63-310a-4bee-9199-0d712b99a2b7 · outbound

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

Group-Reflective Self-Distillation for Agentic Reinforcement Learning Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 19

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Observation aaa7e3b4-659c-44f7-b5e3-e9842a7e5516 · outbound

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Group-Reflective Self-Distillation for Agentic Reinforcement Learning Unresolved cited work

Reference 20

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Observation eb8ed1dd-6043-4d29-9610-0bd0ce4ecd10 · outbound

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Group-Reflective Self-Distillation for Agentic Reinforcement Learning Advances in Neural Information Processing Systems , volume=

Reference 21

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Observation 6e035d40-6089-45b7-8d2a-7ed4e6c53e8b · outbound

This paper cites MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention.

Group-Reflective Self-Distillation for Agentic Reinforcement Learning MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention

Reference 22

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Observation 374434a2-dc85-452e-9588-154ec221e931 · outbound

This paper cites arXiv preprint arXiv:2510.14545 , year=.

Group-Reflective Self-Distillation for Agentic Reinforcement Learning arXiv preprint arXiv:2510.14545 , year=

Reference 23

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Observation 7d5895cc-3b3c-4899-abb6-c04e930f38c5 · outbound

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

Group-Reflective Self-Distillation for Agentic Reinforcement Learning Advances in Neural Information Processing Systems , volume=

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T03:23:30.727278Z

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Observation ce1318fd-122b-439d-96c4-43d39b2117ed · outbound

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

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

Reference 25

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Observation 317bd219-c488-45fe-9fcb-8719d4ea1565 · outbound

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Group-Reflective Self-Distillation for Agentic Reinforcement Learning arXiv preprint arXiv:2603.08754 , year=

Reference 26

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Observation 4010f159-17dc-43fa-a917-e3d22f064006 · outbound

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

Group-Reflective Self-Distillation for Agentic Reinforcement Learning RLCSD: Reinforcement Learning with Contrastive On-Policy Self-Distillation

Reference 27

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Observation 404fb529-99d6-408e-b12d-1e5c0f10486c · outbound

This paper cites Reinforcement Learning via Self-Distillation.

Group-Reflective Self-Distillation for Agentic Reinforcement Learning Reinforcement Learning via Self-Distillation

Reference 28

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Observation 58e5bc50-b9d5-4850-be04-0ca605e48e6d · outbound

This paper cites UniSD: Towards a Unified Self-Distillation Framework for Large Language Models.

Group-Reflective Self-Distillation for Agentic Reinforcement Learning UniSD: Towards a Unified Self-Distillation Framework for Large Language Models

Reference 29

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Observation 73831e79-f25f-4256-819f-4233d5cc5bee · outbound

This paper cites OGLS-SD: On-Policy Self-Distillation with Outcome-Guided Logit Steering for LLM Reasoning.

Group-Reflective Self-Distillation for Agentic Reinforcement Learning OGLS-SD: On-Policy Self-Distillation with Outcome-Guided Logit Steering for LLM Reasoning

Reference 30

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Observation 33257439-8c7f-44d6-bb77-8d48bc9befd5 · outbound

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

Group-Reflective Self-Distillation for Agentic Reinforcement Learning ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Reference 31

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Observation cfa5e7ad-9c77-4ef0-954d-56db5f9483dd · outbound

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Group-Reflective Self-Distillation for Agentic Reinforcement Learning Advances in Neural Information Processing Systems , volume=

Reference 32

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Observation 9b532ba7-3e9d-4f1e-a0c9-148d7785d855 · outbound

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Group-Reflective Self-Distillation for Agentic Reinforcement Learning Transactions of the Association for Computational Linguistics , volume=

Reference 33

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Observation 16265c6e-03a3-414b-ad8e-cb4ab1e53c32 · outbound

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

Reference 34

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

Reference 35

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Observation 58c24a99-b950-4e26-b76d-a5ead428475f · outbound

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

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

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T03:23:32.281138Z

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Observation 72c850e6-5948-437d-a8da-a287491891e4 · outbound

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

Reference 37

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Observation ad863716-d0a9-4a4c-b76a-ca7ce78a893a · outbound

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Group-Reflective Self-Distillation for Agentic Reinforcement Learning Transactions of the Association for Computational Linguistics , volume=

Reference 38

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Observation be90f18d-87b6-4ebc-b118-4b334f34c5c1 · outbound

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

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

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T03:23:32.754593Z

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Observation 3a001b18-d8d0-4d52-a2f4-b41507844e65 · outbound

This paper cites SOD: Step-wise On-policy Distillation for Small Language Model Agents.

Group-Reflective Self-Distillation for Agentic Reinforcement Learning SOD: Step-wise On-policy Distillation for Small Language Model Agents

Reference 40

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Observation 691d5dc1-1590-4148-a46f-56242c5063f8 · outbound

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

Group-Reflective Self-Distillation for Agentic Reinforcement Learning Text Embeddings by Weakly-Supervised Contrastive Pre-training

Reference 41

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Group-Reflective Self-Distillation for Agentic Reinforcement Learning 2026 , eprint=

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Pith citing papers

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