Paper Citation Record · LEDGER

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents

As of 22 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 19 inbound Pith citation observations for arXiv:2505.15117.

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

pith.paper-citation-record.v1
2505.15117 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:26:55.346259Z

measured 78 of 78 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:51:43.200350Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T00:55:12.126083Z

Reference resolution

59 of 59 outbound references displayed

verified exact1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a9c57f54-6a3f-411f-9cd5-c481acc54943 · outbound

This paper cites GPT-4 Technical Report.

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents GPT-4 Technical Report

Reference 1

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Observation 4b28661e-4667-436f-ad52-9e167fd09ce4 · outbound

This paper cites Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs.

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs

Reference 2

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Observation 1fbacb48-e9af-47ef-884b-eb32fcb592d5 · outbound

This paper cites Self-rag: Learn- ing to retrieve, generate, and critique through self-reflection.

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents Self-rag: Learn- ing to retrieve, generate, and critique through self-reflection

Reference 3

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Observation 3c45f28c-547c-4ea1-a66b-c9457ded3b34 · outbound

This paper cites ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning.

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning

Reference 4

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Observation 4f6f5d45-770b-499d-a63b-ccc844135ad7 · outbound

This paper cites ELI5: Long Form Question Answering.

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents ELI5: Long Form Question Answering

Reference 5

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Observation 7b898ac7-96ce-4443-a0e5-0a274b00fb5d · outbound

This paper cites Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs.

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs

Reference 6

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Observation 56345dbc-a3ed-4a1c-bf4e-68a59f2c5470 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 7

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Observation a9547765-daaf-4d6a-b000-24d7e114b491 · outbound

This paper cites A Confederacy of Models: a Comprehensive Evaluation of LLMs on Creative Writing.

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents A Confederacy of Models: a Comprehensive Evaluation of LLMs on Creative Writing

Reference 8

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Observation 585497cc-a9c9-4f4b-81bb-fa58ff551145 · outbound

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

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 9

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Observation b7630dd5-73ac-4352-be50-f252bdc34117 · outbound

This paper cites Training Compute-Optimal Large Language Models.

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents Training Compute-Optimal Large Language Models

Reference 10

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Observation f6534b44-fd37-4592-977e-7376e1c91ff2 · outbound

This paper cites Long-context llms meet rag: Overcoming challenges for long inputs in rag.

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents Long-context llms meet rag: Overcoming challenges for long inputs in rag

Reference 11

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Observation 717a137d-4795-4d92-aa45-2f3bd6b12ce5 · outbound

This paper cites LLM Alignment as Retriever Optimization: An Information Retrieval Perspective.

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents LLM Alignment as Retriever Optimization: An Information Retrieval Perspective

Reference 12

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Observation b058ef94-0010-4640-97d2-ae7ecdca5340 · outbound

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

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Reference 13

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Observation c3821500-bdf1-4fca-a0d4-f43e0ba4cc4c · outbound

This paper cites Reinforcement learning: A survey.

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents Reinforcement learning: A survey

Reference 14

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Observation 19e1688c-cfa7-418e-a7fc-348c0c3c9b8c · outbound

This paper cites Scaling Laws for Neural Language Models.

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents Scaling Laws for Neural Language Models

Reference 15

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Observation 03d37d64-fccf-4d4d-aba6-85a748414895 · outbound

This paper cites Dense passage retrieval for open-domain question answering.

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents Dense passage retrieval for open-domain question answering

Reference 16

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Observation ca007945-7e15-4249-a24c-414673a7b03d · outbound

This paper cites A survey of reinforcement learning from human feedback.

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents A survey of reinforcement learning from human feedback

Reference 17

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Observation 4c94b57a-382e-430c-a0c6-0d0c5fc7a1a3 · outbound

This paper cites Natural questions: a benchmark for question answering research.

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents Natural questions: a benchmark for question answering research

Reference 18

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Observation 17f0a0b5-8016-4d30-81f7-4fe71c83a2e4 · outbound

This paper cites Med-r1: Reinforce- ment learning for generalizable medical reasoning in vision-language models.

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents Med-r1: Reinforce- ment learning for generalizable medical reasoning in vision-language models

Reference 19

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Observation 1f416758-8579-4885-887e-dad10bb3f9d6 · outbound

This paper cites RewardBench: Evaluating Reward Models for Language Modeling.

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents RewardBench: Evaluating Reward Models for Language Modeling

Reference 20

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Observation 2f145531-f0a2-41ec-880f-42eba51ab072 · outbound

This paper cites Large language models in finance: A survey.

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents Large language models in finance: A survey

Reference 21

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Observation c74cf3b1-65ef-40d7-b028-718a802ccbb9 · outbound

This paper cites Rec-r1: Bridging generative large language mod- els and user-centric recommendation systems via reinforcement learning.

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents Rec-r1: Bridging generative large language mod- els and user-centric recommendation systems via reinforcement learning

Reference 22

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Observation 31f92054-4f7e-4285-b9cf-38cd12aa6c34 · outbound

This paper cites Ra-dit: Retrieval-augmented dual instruction tuning.

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents Ra-dit: Retrieval-augmented dual instruction tuning

Reference 23

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Observation fca8fc0a-f564-42ca-9bd9-479b52f91105 · outbound

This paper cites InfiGUI-R1: Advancing Multimodal GUI Agents from Reactive Actors to Deliberative Reasoners.

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents InfiGUI-R1: Advancing Multimodal GUI Agents from Reactive Actors to Deliberative Reasoners

Reference 24

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An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents Fin-r1: A large language model for financial reasoning through reinforcement learning

Reference 25

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This paper cites Chatqa: Surpassing gpt-4 on conversational qa and rag.

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents Chatqa: Surpassing gpt-4 on conversational qa and rag

Reference 26

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This paper cites Efficient and robust approximate nearest neighbor search using hierarchical navigable small world graphs.

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents Efficient and robust approximate nearest neighbor search using hierarchical navigable small world graphs

Reference 27

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Observation 595bedd6-b420-4b9a-827b-64e5da074ae9 · outbound

This paper cites Training language models to follow instructions with human feedback.

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents Training language models to follow instructions with human feedback

Reference 28

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Observation 195f0ec1-8ef3-4d27-9893-765da6383166 · outbound

This paper cites A study of generative large language model for medical research and healthcare.

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents A study of generative large language model for medical research and healthcare

Reference 29

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This paper cites Measuring and Narrowing the Compositionality Gap in Language Models.

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents Measuring and Narrowing the Compositionality Gap in Language Models

Reference 30

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This paper cites Direct preference optimization: Your language model is secretly a reward model.

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents Direct preference optimization: Your language model is secretly a reward model

Reference 31

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An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents Gpqa: A graduate-level google-proof q&a benchmark

Reference 32

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This paper cites The probabilistic relevance framework: Bm25 and beyond.

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents The probabilistic relevance framework: Bm25 and beyond

Reference 33

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An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents Toolformer: Language models can teach themselves to use tools

Reference 34

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An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

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An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG

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An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning

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An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents ASQA: Factoid Questions Meet Long-Form Answers

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An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents Reinforcement learning

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This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 40

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This paper cites Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions.

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions

Reference 41

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An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents Text Embeddings by Weakly-Supervised Contrastive Pre-training

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An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents Reinforcement Learning for Reasoning in Large Language Models with One Training Example

Reference 43

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An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning

Reference 44

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An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents Chain-of-thought prompting elicits reasoning in large language models

Reference 45

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An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents Measuring short-form factuality in large language models

Reference 46

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An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents Simple statistical gradient-following algorithms for connectionist reinforce- ment learning

Reference 47

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An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents

Reference 48

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An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning

Reference 49

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An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents Qwen2.5 Technical Report

Reference 50

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An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 51

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An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents React: Synergizing reasoning and acting in language models

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:26:56.510314Z

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Observation 33aab401-0b34-4dc2-9521-4f7dd023735e · outbound

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

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T15:26:54.687871Z

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Observation aa196788-e30a-4150-803f-794700ddbea6 · outbound

This paper cites VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks.

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T15:26:54.812847Z

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Observation 05a4234d-b062-4944-b633-d5c847f3be3c · outbound

This paper cites Vision-R1: Evolving Human-Free Alignment in Large Vision-Language Models via Vision-Guided Reinforcement Learning.

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents Vision-R1: Evolving Human-Free Alignment in Large Vision-Language Models via Vision-Guided Reinforcement Learning

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T15:26:54.929294Z

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Observation e3747c8b-8768-4e14-af6c-d6ce749ab8c3 · outbound

This paper cites Benchmarking large language models for news summarization.

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents Benchmarking large language models for news summarization

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:26:56.319879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a765309a-41f1-4b5f-a97f-40bee11c104a · outbound

This paper cites A Survey of Large Language Models.

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents A Survey of Large Language Models

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T15:26:55.141146Z

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Observation 46073e24-a2eb-43b6-9e9a-90fc8e3369fd · outbound

This paper cites DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments.

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T15:26:55.223022Z

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Observation 6bb5f631-5897-445b-b8eb-09fd812f0456 · outbound

This paper cites Delicatessen.

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents Delicatessen

Reference 1953

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:26:56.105243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation 38b539da-c53c-43a2-8365-fcfcebcd6817 · inbound

A Vision for Geo-Temporal Deep Research Systems: Towards Comprehensive, Transparent, and Reproducible Geo-Temporal Information Synthesis cites this paper.

A Vision for Geo-Temporal Deep Research Systems: Towards Comprehensive, Transparent, and Reproducible Geo-Temporal Information Synthesis An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T00:22:18.164811Z

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Observation d87aa6c1-0808-4f41-9a4d-e7235a8a94d3 · inbound

MetaAgent: Toward Self-Evolving Agent via Tool Meta-Learning cites this paper.

MetaAgent: Toward Self-Evolving Agent via Tool Meta-Learning An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T10:17:13.579736Z

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Observation 11891e05-7f2a-46ad-a05b-74e367e31854 · inbound

BrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent cites this paper.

BrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-05T22:46:12.625929Z

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Observation 3e06a672-a89a-4390-a2df-320dc727fe33 · inbound

SSRL: Self-Search Reinforcement Learning cites this paper.

SSRL: Self-Search Reinforcement Learning An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T20:17:09.393341Z

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Observation 6252f0a3-8341-473e-9c5e-a6ab0203c525 · inbound

AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning cites this paper.

AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T16:08:39.097595Z

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Observation 9b1aa506-a3b4-4efe-be0a-52109793cfd1 · inbound

A Survey of Reinforcement Learning for Large Reasoning Models cites this paper.

A Survey of Reinforcement Learning for Large Reasoning Models An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents

Reference 244

Resolution: verified exact; arxiv_id, observed 2026-05-18T00:02:24.586905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0fcab628-5b5b-4eea-af6c-c1a9c9c9a03d · inbound

Erase to Improve: Erasable Reinforcement Learning for Search-Augmented LLMs cites this paper.

Erase to Improve: Erasable Reinforcement Learning for Search-Augmented LLMs An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-18T11:11:18.283961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6118e055-e4d6-4a0d-a75a-e3427ebcc2c3 · inbound

Beyond Correctness: Rewarding Faithful Reasoning in Retrieval-Augmented Generation cites this paper.

Beyond Correctness: Rewarding Faithful Reasoning in Retrieval-Augmented Generation An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T09:50:45.763606Z

Source-reported events for the cited work

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Observation 785a30ee-2b24-48a5-af96-a455692b9848 · inbound

Lost in the Maze: Overcoming Context Limitations in Long-Horizon Agentic Search cites this paper.

Lost in the Maze: Overcoming Context Limitations in Long-Horizon Agentic Search An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T08:48:40.941733Z

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Observation 85761933-03a2-4669-961f-021236f6c4fc · inbound

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework cites this paper.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:45.833809Z

Source-reported events for the cited work

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Observation f189d6d9-658d-4f1c-98a6-3b1e506dc583 · inbound

ReasonBENCH: Benchmarking the (In)Stability of LLM Reasoning cites this paper.

ReasonBENCH: Benchmarking the (In)Stability of LLM Reasoning An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T17:53:54.804421Z

Source-reported events for the cited work

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Observation 7cb12523-4345-4d84-a68f-d2958bf61d59 · inbound

$S^3$-R1: Learning to Retrieve and Answer Step-by-Step with Synthetic Data cites this paper.

$S^3$-R1: Learning to Retrieve and Answer Step-by-Step with Synthetic Data An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:46:06.919257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 600bc524-c3a1-494f-99ec-69a625a52d40 · inbound

$S^3$-R1: Learning to Retrieve and Answer Step-by-Step with Synthetic Data cites this paper.

$S^3$-R1: Learning to Retrieve and Answer Step-by-Step with Synthetic Data An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-01T00:55:12.127996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d8193e3d-2d96-468a-b0f0-524b0649de2b · inbound

Verbal-R3: Verbal Reranker as the Missing Bridge between Retrieval and Reasoning cites this paper.

Verbal-R3: Verbal Reranker as the Missing Bridge between Retrieval and Reasoning An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T16:51:08.796266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e03c2656-8aee-4852-8bbf-20f7a3d434a2 · inbound

LatentRAG: Latent Reasoning and Retrieval for Efficient Agentic RAG cites this paper.

LatentRAG: Latent Reasoning and Retrieval for Efficient Agentic RAG An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:01:12.045981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8fcae104-3086-451d-888d-490e03e36875 · inbound

DocArena: Turning Raw Documents into Controllable Training Environments for Document Search Agents cites this paper.

DocArena: Turning Raw Documents into Controllable Training Environments for Document Search Agents An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T12:53:26.519864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fe7c2143-8f14-4272-87fe-6dcc857aabba · inbound

TRACE: Turn-level Reward Assignment via Credit Estimation for Long-Horizon Agents cites this paper.

TRACE: Turn-level Reward Assignment via Credit Estimation for Long-Horizon Agents An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T03:10:51.532947Z

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Observation 3f450e9f-b910-4ae1-be33-eae85bac52ea · inbound

TCPO: Turn-Level Credit Policy Optimization cites this paper.

TCPO: Turn-Level Credit Policy Optimization An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-04T23:23:14.639942Z

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Observation bbcfe5a8-7c4d-4729-bd5c-0faf5bb04904 · inbound

Beyond Outcome Rewards: Step-Level Self-Distilled Policy Optimization for Deep Search Agents cites this paper.

Beyond Outcome Rewards: Step-Level Self-Distilled Policy Optimization for Deep Search Agents An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T23:51:43.200350Z

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Unavailable: canonical work link unavailable.