Paper Citation Record · LEDGER

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval

As of 19 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 10 inbound Pith citation observations for arXiv:2506.12364.

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

pith.paper-citation-record.v1
2506.12364 v2

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:57:04.899044Z

measured 63 of 63 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T18:30:14.590920Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T05:49:36.617387Z

Reference resolution

53 of 53 outbound references displayed

verified exact0
verified fuzzy0
unresolved53
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f69a996c-f891-44e0-ac0f-63ef63510152 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval , " * write output.state after.block = add.period write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:00.807829Z

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Observation d960843a-503f-4f24-86f7-fa90b3e100f5 · outbound

This paper cites write newline.

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:00.887230Z

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Observation fb001521-ae4a-49a2-be8f-c70d3050455e · outbound

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

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:01.027774Z

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Observation c17b4b0c-af84-4b24-a7d5-ff98c26a8461 · outbound

This paper cites an unresolved cited work.

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:01.195800Z

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Observation 04cca64e-f87f-4d12-a2e3-1f5badcc8810 · outbound

This paper cites Qwen2.5-VL Technical Report.

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval Qwen2.5-VL Technical Report

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:01.259830Z

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Observation 86d27c84-6835-4166-87e1-c5d2a558a529 · outbound

This paper cites an unresolved cited work.

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:57:05.459097Z

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Observation 9f7c5738-2e13-4306-90d5-006c6aef602a · outbound

This paper cites an unresolved cited work.

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:57:05.451945Z

Source-reported events for the cited work

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Observation 6f0c58a8-71ae-4346-ad77-9d614b4367d1 · outbound

This paper cites MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected Training.

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected Training

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:01.524134Z

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Observation 267699e1-7b31-4474-9951-51a978fbc7e7 · outbound

This paper cites Document AI: Benchmarks, Models and Applications.

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval Document AI: Benchmarks, Models and Applications

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:01.615697Z

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Observation 6acd7ba0-3709-48da-8847-e86b78f7681a · outbound

This paper cites Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning.

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:01.730564Z

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Observation 92263e62-2587-41f8-9016-6884148eefd4 · outbound

This paper cites D.; Li, D.; Tang, R.; and Liu, Y.

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval D.; Li, D.; Tang, R.; and Liu, Y

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:01.801793Z

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Observation 38111f0b-905a-4dc5-86b5-1bae05a5c0c9 · outbound

This paper cites an unresolved cited work.

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:57:05.444457Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7cc0487f-929a-448b-bbfc-83283d395809 · outbound

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

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 13

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Observation d2ffb572-dce8-4318-9972-68bb9d62b627 · outbound

This paper cites an unresolved cited work.

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:57:05.436278Z

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Observation 2f61e3d8-15cd-47c4-bc04-a387221ab3f0 · outbound

This paper cites CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review.

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:02.178818Z

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Observation 8de39eab-0e4d-4bf4-8847-05a4bb4e7411 · outbound

This paper cites Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models.

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:02.240483Z

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Observation ad9f3e51-e48f-4632-a8f1-08cefed127d8 · outbound

This paper cites A.; and Manning, C.

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval A.; and Manning, C

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:02.329081Z

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Observation 4e3fed3a-ac05-4cc4-ac56-907bd2abd111 · outbound

This paper cites E5-V: Universal Embeddings with Multimodal Large Language Models.

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval E5-V: Universal Embeddings with Multimodal Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:02.391179Z

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Observation a17f97fd-89cf-4b74-9030-2c605e030027 · outbound

This paper cites Jina CLIP: Your CLIP Model Is Also Your Text Retriever.

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval Jina CLIP: Your CLIP Model Is Also Your Text Retriever

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:02.482363Z

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Observation 62008755-0dd9-4e8f-b276-dd774e803f02 · outbound

This paper cites an unresolved cited work.

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:02.553907Z

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Observation b9fe4355-6f8d-427b-a8b9-fa8286ecdb5d · outbound

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MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval Visual-RFT: Visual Reinforcement Fine-Tuning

Reference 21

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Observation 1ab7adbc-9052-4ce8-b5db-4fb96f687dd6 · outbound

This paper cites MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts.

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:02.705650Z

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Observation e5ea2ce8-4884-4d89-b583-c421e417ccff · outbound

This paper cites an unresolved cited work.

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval Unresolved cited work

Reference 23

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Observation f1ee92c4-9e5a-47d5-aa40-e5628d48190b · outbound

This paper cites Unifying Multimodal Retrieval via Document Screenshot Embedding.

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval Unifying Multimodal Retrieval via Document Screenshot Embedding

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:02.852824Z

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Observation a569d98b-c44b-4b56-95e9-a336780b78c6 · outbound

This paper cites Zero-Shot Listwise Document Reranking with a Large Language Model.

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval Zero-Shot Listwise Document Reranking with a Large Language Model

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:02.941517Z

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Observation 6b6ae10d-e6c3-4494-9fe5-e09a312f0748 · outbound

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MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval Unresolved cited work

Reference 26

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Observation 563f6fac-96e5-464b-aa9a-2dd992809163 · outbound

This paper cites MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning.

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 27

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Observation 89d765ea-ee59-427c-b9de-c03965870a06 · outbound

This paper cites Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG.

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG

Reference 28

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Observation a5164d2b-9324-4c1c-ba8f-396cbcded9f4 · outbound

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MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval Passage Re-ranking with BERT

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:03.221717Z

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Observation 90e7b7cc-d952-483d-ba47-2fb034a4ebbb · outbound

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MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL

Reference 30

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MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval W.; Hallacy, C.; Ramesh, A.; Goh, G.; Agarwal, S.; Sastry, G.; Askell, A.; Mishkin, P.; Clark, J.; et al

Reference 31

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Observation bd378171-4438-45af-939f-de9efd539106 · outbound

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Reference 32

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0a5dfd9f-e5ce-4cf8-84e4-5ea4199e6bee · outbound

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MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 33

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Observation 90c3ab52-4f21-4168-9921-b432fd396a42 · outbound

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MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:03.746067Z

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Observation 86cea2c0-7542-4a34-9383-ea2e155c494f · outbound

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Reference 35

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Observation 5c5d6192-f62c-4ce1-9277-374d5eefc817 · outbound

This paper cites Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents.

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 36

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Observation 41a59971-eec5-48ba-93b4-8a3b7f70111b · outbound

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Reference 37

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MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval Gemma 3 Technical Report

Reference 38

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Observation 2341c5a0-ba02-4f99-9340-9cc0dc86af35 · outbound

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MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval Unresolved cited work

Reference 39

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Observation 4b1a7ad4-13f9-44a7-8fda-6042f35e899c · outbound

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MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval Unresolved cited work

Reference 40

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Observation 385aec29-5438-4db1-b61d-04173001aedb · outbound

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MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval SciQAG: A Framework for Auto-Generated Science Question Answering Dataset with Fine-grained Evaluation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:04.516424Z

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Observation 73b59caa-ae01-4b02-a789-21fd8efc16fa · outbound

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MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval Unresolved cited work

Reference 42

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MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval Unresolved cited work

Reference 43

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Observation e7d524b8-5783-45c6-8b4f-81dd0082ac62 · outbound

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MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval Unresolved cited work

Reference 44

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MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization

Reference 45

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Observation b10eace7-1a9b-4f0d-ba21-132413ecfb60 · outbound

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MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval Unresolved cited work

Reference 46

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Observation bc72bb35-975a-47b3-812c-73da30839645 · outbound

This paper cites GME: Improving Universal Multimodal Retrieval by Multimodal LLMs.

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval GME: Improving Universal Multimodal Retrieval by Multimodal LLMs

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:04.883587Z

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MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:04.885839Z

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MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval R1-Zero's "Aha Moment" in Visual Reasoning on a 2B Non-SFT Model

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:04.888383Z

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Observation 07904819-4bc3-4b97-b104-9861a3e71ed7 · outbound

This paper cites an unresolved cited work.

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:57:05.355356Z

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Observation 4e2e1e40-9944-4f93-bb34-b419052016b6 · outbound

This paper cites Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels.

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:04.893838Z

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Observation f3f56d32-0aec-4d14-8298-e4a0895dcd72 · outbound

This paper cites Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking.

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:04.896427Z

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Observation 00a78ba1-214d-418e-94b6-6f7ae07c333f · outbound

This paper cites Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning.

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:04.899044Z

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Pith citing papers

Observation 93d059a2-4274-4942-92b1-51595430d538 · inbound

Rich-Media Re-Ranker: A User Satisfaction-Driven LLM Re-ranking Framework for Rich-Media Search cites this paper.

Rich-Media Re-Ranker: A User Satisfaction-Driven LLM Re-ranking Framework for Rich-Media Search MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:30:44.218262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e067bde3-d442-4511-8337-5a1bb2574be8 · inbound

UniRank: End-to-End Domain-Specific Reranking of Hybrid Text-Image Candidates cites this paper.

UniRank: End-to-End Domain-Specific Reranking of Hybrid Text-Image Candidates MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-03T03:30:19.025384Z

Source-reported events for the cited work

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Observation 7059386b-8b8c-442f-88cc-e9b21207d009 · inbound

MEG-RAG: Quantifying Multi-modal Evidence Grounding for Evidence Selection in RAG cites this paper.

MEG-RAG: Quantifying Multi-modal Evidence Grounding for Evidence Selection in RAG MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:56:12.290347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8498fa43-7d66-43a2-908c-5f0bb8834877 · inbound

Purifying Multimodal Retrieval: Fragment-Level Evidence Selection for RAG cites this paper.

Purifying Multimodal Retrieval: Fragment-Level Evidence Selection for RAG MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:11:28.125034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bf60f130-aa52-42ee-bec2-38d937525aab · inbound

Very Efficient Listwise Multimodal Reranking for Long Documents cites this paper.

Very Efficient Listwise Multimodal Reranking for Long Documents MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:27:19.486876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 752b3c79-525c-423e-acb4-c84caa3af967 · inbound

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark cites this paper.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:13:15.049941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b2c24e2a-bf4c-4096-917c-e88a46c89038 · inbound

miniReranker: Efficient Multimodal Reranking through Visual Cache Reuse and Interaction Sparsity cites this paper.

miniReranker: Efficient Multimodal Reranking through Visual Cache Reuse and Interaction Sparsity MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-03T07:57:44.529439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 074dd2fe-3bec-4503-b09d-fd5d790fa41d · inbound

ELVA: Exploring Ranking-Driven Universal Multimodal Retrieval cites this paper.

ELVA: Exploring Ranking-Driven Universal Multimodal Retrieval MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-07-04T05:49:36.619234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 760efa80-523a-48e6-b5bc-9a8056a9fbe4 · inbound

GR2 Technical Report cites this paper.

GR2 Technical Report MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T11:55:43.056344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6135702c-b638-46ac-b88a-cda1b3231667 · inbound

Learning from Failures: Retrieval-Centric CoT via Hard Negatives for Unified Multimodal Retrieval cites this paper.

Learning from Failures: Retrieval-Centric CoT via Hard Negatives for Unified Multimodal Retrieval MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T18:30:14.590920Z

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