Paper Citation Record · LEDGER

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning

As of 8 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 14 inbound Pith citation observations for arXiv:2506.04185.

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

pith.paper-citation-record.v1
2506.04185 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:54:30.541560Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:12:12.793725Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:19:38.663842Z

Reference resolution

44 of 44 outbound references displayed

verified exact2
verified fuzzy1
unresolved40
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fbdc3536-4226-4620-aa14-1d80f49ea013 · outbound

This paper cites an unresolved cited work.

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning Unresolved cited work

Reference 1

Resolution: verified exact; doi, observed 2026-08-07T10:54:31.014255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c155b641-b8d7-4924-8234-4a2ea31e74bf · outbound

This paper cites an unresolved cited work.

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:30.280264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 728e8402-de64-4bb0-9f16-18a2cbdb3567 · outbound

This paper cites an unresolved cited work.

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:54:31.438391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f14615f3-bf2f-4d9f-a4a3-038dbcb03f25 · outbound

This paper cites RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation.

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:30.291283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0458c6c1-fb1a-4acc-99d6-97775c449014 · outbound

This paper cites an unresolved cited work.

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:54:31.422082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ea1ee574-c118-4222-b4dd-7a7a6fd9f773 · outbound

This paper cites an unresolved cited work.

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:54:31.405352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b5b447c7-48d1-455a-bb56-c6389374d78c · outbound

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

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:30.308393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4d27694-6d90-4eab-b4c9-3dfd99f42d05 · outbound

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

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:30.313372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aefe27e4-2382-442a-85b2-ee35c1f8f2b1 · outbound

This paper cites DeepRAG: Thinking to Retrieve Step by Step for Large Language Models.

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning DeepRAG: Thinking to Retrieve Step by Step for Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:30.319046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3dae0aa0-caff-4bfd-a084-1803c332fe30 · outbound

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

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:30.324627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2117c3f-9435-42da-923f-427d56c31482 · outbound

This paper cites REALM: Retrieval-Augmented Language Model Pre-Training.

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning REALM: Retrieval-Augmented Language Model Pre-Training

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:30.330000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8cb34d6-2812-41e1-bfc2-cf3f690c9db6 · outbound

This paper cites an unresolved cited work.

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:30.338794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f6099d7-897f-4297-ab19-3e0e65e07534 · outbound

This paper cites OpenAI o1 System Card.

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning OpenAI o1 System Card

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:30.344581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 408e75e1-1756-4072-9b89-bcf8d9d25e38 · outbound

This paper cites an unresolved cited work.

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:30.350126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52555175-f859-48d1-9c71-24b6822bb064 · outbound

This paper cites Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi - Yu, Yiming Yang, Jamie Callan, and Graham Neubig.

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi - Yu, Yiming Yang, Jamie Callan, and Graham Neubig

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:30.355185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c274fb56-4c2b-4edd-af2c-0b8fb4f8b6e6 · outbound

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

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:30.360587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c9dacb0-3a3c-45a9-854f-ae11ede5480e · outbound

This paper cites FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research.

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:30.366802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 627dcc3a-6959-49c1-b1bf-f05d5267f601 · outbound

This paper cites Weld, and Luke Zettlemoyer.

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning Weld, and Luke Zettlemoyer

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:30.372406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20bd6a40-5b96-4d90-a4ef-8a52550e4607 · outbound

This paper cites an unresolved cited work.

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:30.377138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c522333-8a80-4eb4-8078-4b876b79c84a · outbound

This paper cites an unresolved cited work.

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:30.382234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17d2ab95-057d-402f-9bee-7ed50560ea97 · outbound

This paper cites Training Language Models to Self-Correct via Reinforcement Learning.

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning Training Language Models to Self-Correct via Reinforcement Learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:30.386949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca83f98c-38fb-4070-ab48-be9fd457c959 · outbound

This paper cites an unresolved cited work.

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:30.396880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a196208-39d9-4970-9db7-a4b97e708d13 · outbound

This paper cites u ttler, Mike Lewis, Wen - tau Yih, Tim Rockt \.

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning u ttler, Mike Lewis, Wen - tau Yih, Tim Rockt \

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:30.402416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46fda872-3ffb-4558-a455-605f44d7e1c4 · outbound

This paper cites an unresolved cited work.

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:30.407013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c433b464-ea9f-4427-b624-05adb958da6f · outbound

This paper cites an unresolved cited work.

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:54:31.352675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c24b190f-2bfa-4b03-aadd-3d8b7aed4419 · outbound

This paper cites an unresolved cited work.

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:54:31.334046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f8bb9a67-7d7d-4f46-b83f-0bd423b7d5cf · outbound

This paper cites GPT-4 Technical Report.

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning GPT-4 Technical Report

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:30.426294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d686e0a-dd7c-4f91-acc8-61c7629fb771 · outbound

This paper cites an unresolved cited work.

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning Unresolved cited work

Reference 29

Resolution: verified exact; doi, observed 2026-08-07T10:54:30.814271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dc63a20b-8944-4eb4-bc6d-1ece1d2221cb · outbound

This paper cites Smith, and Mike Lewis.

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning Smith, and Mike Lewis

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:30.438229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcf82ccf-3bca-47ba-9c8a-d3e1b1016088 · outbound

This paper cites Hamilton, Chris Dyer, and Dani Yogatama.

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning Hamilton, Chris Dyer, and Dani Yogatama

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:31.317364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bae75213-a5d1-42b0-86b0-f506496e4722 · outbound

This paper cites Proximal Policy Optimization Algorithms.

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:30.459827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c30857ee-2823-4424-89db-3c9bbfc19591 · outbound

This paper cites an unresolved cited work.

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning Unresolved cited work

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:30.469858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8032718-9c9e-405e-a0c7-87b19773f16c · outbound

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

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:30.477067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18bd1d35-7962-433c-85db-c9a5f62d1ff6 · outbound

This paper cites an unresolved cited work.

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:30.490021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd59f18c-0d90-4f7e-a453-cdf0ff7fbca9 · outbound

This paper cites an unresolved cited work.

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning Unresolved cited work

Reference 37

Resolution: malformed identifier; no resolver link, observed 2026-08-07T10:54:30.496064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af55d101-5b80-4f5e-ac71-85e70df80ed6 · outbound

This paper cites an unresolved cited work.

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:30.500940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c931d564-86c3-4854-8096-736595ec00c7 · outbound

This paper cites Large Language Models are Better Reasoners with Self-Verification.

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning Large Language Models are Better Reasoners with Self-Verification

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:30.506047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a9be03b-020e-41a3-9b34-421110aa12fb · outbound

This paper cites an unresolved cited work.

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:54:31.299174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 82a47b6f-2838-4763-95c5-5382dddf54a7 · outbound

This paper cites Qwen2.5 Technical Report.

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning Qwen2.5 Technical Report

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:30.515642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9a73950-9e81-4df9-97c0-d657ab55938b · outbound

This paper cites Cohen, Ruslan Salakhutdinov, and Christopher D.

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning Cohen, Ruslan Salakhutdinov, and Christopher D

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:30.520686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 274306c3-fb9d-4eaf-9901-3a7d595e016f · outbound

This paper cites an unresolved cited work.

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:54:31.281471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2f4f4220-882a-42d8-b558-e67ea766ce81 · outbound

This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:30.531319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb7b1617-4827-4063-a3b5-eef1198cf550 · outbound

This paper cites Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models.

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:30.536308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49404bab-a40d-4d0f-8bac-a4fa4024a915 · outbound

This paper cites an unresolved cited work.

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:54:31.263577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

Observation a035ada7-ce11-4bbb-8836-820e9b7b309f · inbound

ParallelSearch: Train your LLMs to Decompose Query and Search Sub-queries in Parallel with Reinforcement Learning cites this paper.

ParallelSearch: Train your LLMs to Decompose Query and Search Sub-queries in Parallel with Reinforcement Learning R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-05T21:12:12.793725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1aa069b-9b7b-46a1-aba8-ddf010ed2d6b · inbound

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

Erase to Improve: Erasable Reinforcement Learning for Search-Augmented LLMs R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-18T11:11:18.237838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a70854fa-5586-4614-b096-b05e0ba3d765 · inbound

Learning to Trust: Dynamic Utilization of Retrieval-Augmented Generation for E-commerce Search Relevance cites this paper.

Learning to Trust: Dynamic Utilization of Retrieval-Augmented Generation for E-commerce Search Relevance R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-18T08:11:07.182204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6f35d705-251a-4281-a182-3841362f4f59 · inbound

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

Beyond Correctness: Rewarding Faithful Reasoning in Retrieval-Augmented Generation R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-04T09:50:51.764147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84164662-8da3-46e0-b4b5-be266237471d · inbound

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

LatentRAG: Latent Reasoning and Retrieval for Efficient Agentic RAG R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:01:12.182325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7f9edbd2-78df-4063-88ba-511dbfaa9a57 · inbound

Dynamic Skill Lifecycle Management for Agentic Reinforcement Learning cites this paper.

Dynamic Skill Lifecycle Management for Agentic Reinforcement Learning R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:06:33.516677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a8f2398a-4187-4976-af04-f952f24d8fdf · inbound

Dynamic Skill Lifecycle Management for Agentic Reinforcement Learning cites this paper.

Dynamic Skill Lifecycle Management for Agentic Reinforcement Learning R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:23:48.394171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8c269676-9853-4254-ae24-6187fab04f09 · inbound

C-MIG: Multi-view Information Gain-based Retrieval-Augmented Generation for Clinical Diagnosis Reasoning cites this paper.

C-MIG: Multi-view Information Gain-based Retrieval-Augmented Generation for Clinical Diagnosis Reasoning R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T12:53:27.006970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 48e413c0-87bf-409f-9bd6-e0dcad6295ec · inbound

C-MIG: Multi-view Information Gain-based Retrieval-Augmented Generation for Clinical Diagnosis Reasoning cites this paper.

C-MIG: Multi-view Information Gain-based Retrieval-Augmented Generation for Clinical Diagnosis Reasoning R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T05:01:11.073781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff0c6177-c78e-43ad-b05b-23eb7ce5d77b · inbound

ARCO: Adaptive Rubrics with Co-Evolution for Multi-Step LLM-Based Agents cites this paper.

ARCO: Adaptive Rubrics with Co-Evolution for Multi-Step LLM-Based Agents R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:19:38.665573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 018f5e59-856c-457f-8186-0402c437d89f · inbound

ARCO: Adaptive Rubrics with Co-Evolution for Multi-Step LLM-Based Agents cites this paper.

ARCO: Adaptive Rubrics with Co-Evolution for Multi-Step LLM-Based Agents R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T10:43:55.436888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ee5da9b-6551-4441-a027-aeaa9de77755 · 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 R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning

Reference 72

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T12:53:26.535103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4edeba9a-bc41-4575-8bbc-4c477388e225 · inbound

Fishing Out Free Riders: Shapley-Based Reward Attribution for Parallel Reasoning via Reinforcement Learning cites this paper.

Fishing Out Free Riders: Shapley-Based Reward Attribution for Parallel Reasoning via Reinforcement Learning R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-01T13:54:23.891567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e83d5df-5c7a-45e8-9376-d24c1ef67354 · inbound

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents cites this paper.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning

Reference 104

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.776464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.