Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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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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

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 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

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

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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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

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:01.995999Z

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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

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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

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:02.644341Z

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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

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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

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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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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

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:03.974051Z

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

Reference 42

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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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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

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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

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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

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

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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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-08T06:32:00.761636+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

Unavailable: canonical work link unavailable.

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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.