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Paper Citation Record · LEDGER

Agent Reinforcement Learning via Pivotal-Aware Self-Feedback Retry

As of 9 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2607.03702.

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

pith.paper-citation-record.v1
2607.03702 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T00:33:06.488657Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

19 of 19 outbound references displayed

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External citation measurements

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Outbound references

Observation 959d28d3-e55a-4719-a13c-ac9a3d57164b · outbound

This paper cites Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning.

Agent Reinforcement Learning via Pivotal-Aware Self-Feedback Retry Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning

Reference 1

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source=pdf_text observed=2026-07-12T00:33:06.488657Z digest=sha256:92dec8d7c2e7f7d034816024118e6820b1c44a7b2b693830af4310d01d0727ba

Observation 3262efab-1047-4a2e-b3bc-7cf45fe30e57 · outbound

This paper cites Soft Adaptive Policy Optimization.

Agent Reinforcement Learning via Pivotal-Aware Self-Feedback Retry Soft Adaptive Policy Optimization

Reference 2

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source=pdf_text observed=2026-07-12T00:33:06.488657Z digest=sha256:d1ef8a510b3554de589a54123e961c71925abeb2e2c16950c5fa8903be68d8c7

Observation 70a98fff-27e1-4117-97ec-a411d8f9b5ec · outbound

This paper cites Reinforcement Learning via Self-Distillation.

Agent Reinforcement Learning via Pivotal-Aware Self-Feedback Retry Reinforcement Learning via Self-Distillation

Reference 3

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source=pdf_text observed=2026-07-12T00:33:06.488657Z digest=sha256:b9cb8e2951781027252a89f9a0cfd7e40bdfeb359a4a0568c4a994efff5ce65a

Observation 7cda9da9-3e62-49fd-baa4-61f36708cd5b · outbound

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

Agent Reinforcement Learning via Pivotal-Aware Self-Feedback Retry Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Reference 4

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source=pdf_text observed=2026-07-12T00:33:06.488657Z digest=sha256:429cbfc219376638b4e064443ff899d7b720cf19b67d16b853b577a8cf88d954

Observation f566925c-a7b8-44e2-b50f-3deb4b74c3eb · outbound

This paper cites Yinghao Li, Haorui Wang, and Chao Zhang.

Agent Reinforcement Learning via Pivotal-Aware Self-Feedback Retry Yinghao Li, Haorui Wang, and Chao Zhang

Reference 5

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source=pdf_text observed=2026-07-12T00:33:06.488657Z digest=sha256:69bddef151b5b16bffe4607e8f01b934fc7d614bc4b570d92643bac209bbee7a

Observation ac97ecc7-39de-4fcb-8b8f-afd960b0042f · outbound

This paper cites SimpleMem: Efficient Lifelong Memory for LLM Agents.

Agent Reinforcement Learning via Pivotal-Aware Self-Feedback Retry SimpleMem: Efficient Lifelong Memory for LLM Agents

Reference 6

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source=pdf_text observed=2026-07-12T00:33:06.488657Z digest=sha256:ea13769356433ede97c0068560f5f104812107e5575ae26b786c7327fb36ca64

Observation eceb5f1b-bf95-4805-91b6-f7f185cea1a5 · outbound

This paper cites Self-Distilled Agentic Reinforcement Learning.

Agent Reinforcement Learning via Pivotal-Aware Self-Feedback Retry Self-Distilled Agentic Reinforcement Learning

Reference 7

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source=pdf_text observed=2026-07-12T00:33:06.488657Z digest=sha256:3c496769b9db80d82098af0efd1e28af75b3d036a750f72f75fb99cb4b17a3f7

Observation dd46e826-4f93-4f9f-b525-5d9c1352e1b4 · outbound

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

Agent Reinforcement Learning via Pivotal-Aware Self-Feedback Retry MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention

Reference 8

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source=pdf_text observed=2026-07-12T00:33:06.488657Z digest=sha256:2fae2495a09cd28c9bf4dcacb9ec787c5f05f5a349aff77f3e1e051c27ed2190

Observation 9bc99ff2-bf4f-4d2b-aa4e-5bfd34644a46 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Agent Reinforcement Learning via Pivotal-Aware Self-Feedback Retry Proximal Policy Optimization Algorithms

Reference 9

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source=pdf_text observed=2026-07-12T00:33:06.488657Z digest=sha256:ca6f953e17be41d1edf631f304159b6b6aad8275086f7b540e458a71b8904aa7

Observation 990de9bf-fb05-4282-a4ac-c72396371ae6 · outbound

This paper cites Experiential reinforcement learning.arXiv preprint arXiv:2602.13949, 2026a.

Agent Reinforcement Learning via Pivotal-Aware Self-Feedback Retry Experiential reinforcement learning.arXiv preprint arXiv:2602.13949, 2026a

Reference 10

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source=pdf_text observed=2026-07-12T00:33:06.488657Z digest=sha256:3b411cb651a463e31295e6aa32c0b05e157edcf5aa5d4e55a1f3cafac09abe4c

Observation ab6ddb41-db83-439c-9ce9-d545c92e1ad1 · outbound

This paper cites Andrew Bagnell, Aarti Singh, and Andrea Zanette.

Agent Reinforcement Learning via Pivotal-Aware Self-Feedback Retry Andrew Bagnell, Aarti Singh, and Andrea Zanette

Reference 11

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source=pdf_text observed=2026-07-12T00:33:06.488657Z digest=sha256:878fdb64bb5c30f7cca580c357b35f569c963cc0f996b991cac40287a828af00

Observation 5c063ef8-7448-4456-9872-05c7a28ec0d3 · outbound

This paper cites ZeroSearch: Incentivize the Search Capability of LLMs without Searching.

Agent Reinforcement Learning via Pivotal-Aware Self-Feedback Retry ZeroSearch: Incentivize the Search Capability of LLMs without Searching

Reference 12

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source=pdf_text observed=2026-07-12T00:33:06.488657Z digest=sha256:d3220be478dce6afdf9f049ed00a59074e30b64e61668691078e490de8e843cd

Observation 42fbcc21-3a76-4e7c-9dc0-234b73e2a021 · outbound

This paper cites RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning.

Agent Reinforcement Learning via Pivotal-Aware Self-Feedback Retry RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning

Reference 13

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source=pdf_text observed=2026-07-12T00:33:06.488657Z digest=sha256:1bd8d0b6b806a7550ee095602247729390cf819f00d97aade2e511a398e263aa

Observation e2305126-e912-4ecb-8e5c-b2975f885fa4 · outbound

This paper cites RAGEN-2: Reasoning Collapse in Agentic RL.

Agent Reinforcement Learning via Pivotal-Aware Self-Feedback Retry RAGEN-2: Reasoning Collapse in Agentic RL

Reference 14

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source=pdf_text observed=2026-07-12T00:33:06.488657Z digest=sha256:0e66bf9fe618b19c3487a0fba636a0d99fc6a395446832cd76e7e57a4732a8fa

Observation f1cde520-3c61-4568-80ea-b2f3ad259532 · outbound

This paper cites Meta-reinforcement learning with self-reflection for agentic search.arXiv preprint arXiv:2603.11327,.

Agent Reinforcement Learning via Pivotal-Aware Self-Feedback Retry Meta-reinforcement learning with self-reflection for agentic search.arXiv preprint arXiv:2603.11327,

Reference 15

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source=pdf_text observed=2026-07-12T00:33:06.488657Z digest=sha256:900c110821496fa867cd71f6c92d32a68a8adb3e01a125c76cbe3bb639cd7ee5

Observation ca7fe6f0-bbc7-4df2-8c8b-0f2721de1539 · outbound

This paper cites MAGE: Meta-reinforcement learning for language agents toward strategic exploration and exploitation.arXiv preprint arXiv:2603.03680,.

Agent Reinforcement Learning via Pivotal-Aware Self-Feedback Retry MAGE: Meta-reinforcement learning for language agents toward strategic exploration and exploitation.arXiv preprint arXiv:2603.03680,

Reference 16

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source=pdf_text observed=2026-07-12T00:33:06.488657Z digest=sha256:8dbc6f1939e4aa86be714b3cec592ebdf1b6aa0353aa0455a8ca7108abff3342

Observation 53c62c7a-e8fd-4950-84fb-20e44709a45f · outbound

This paper cites The landscape of agentic reinforcement learning for llms: A survey.Trans.

Agent Reinforcement Learning via Pivotal-Aware Self-Feedback Retry The landscape of agentic reinforcement learning for llms: A survey.Trans

Reference 17

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source=pdf_text observed=2026-07-12T00:33:06.488657Z digest=sha256:80389e9f0d478ff431bb2a2428ee1f18abe01f06feacf9275d4b553463d2a729

Observation c34e7e5f-a8a7-40f4-b444-3fab060e95ae · outbound

This paper cites Critique-GRPO: Advancing LLM Reasoning with Natural Language and Numerical Feedback.

Agent Reinforcement Learning via Pivotal-Aware Self-Feedback Retry Critique-GRPO: Advancing LLM Reasoning with Natural Language and Numerical Feedback

Reference 18

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source=pdf_text observed=2026-07-12T00:33:06.488657Z digest=sha256:1285f27ef2cb0215a9fc1ab085f6599e6f1f5cce327246ad4e607113860c26a3

Observation 76a272b9-981f-4a40-bc55-c531dd7208f9 · outbound

This paper cites Group Sequence Policy Optimization.

Agent Reinforcement Learning via Pivotal-Aware Self-Feedback Retry Group Sequence Policy Optimization

Reference 19

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source=pdf_text observed=2026-07-12T00:33:06.488657Z digest=sha256:fff7b6e95352e817fdea65f0e56d39af078b2ff20080f7a037892a328fbb6769

Pith citing papers

No inbound Pith citation observations are available.