Paper Citation Record · LEDGER

MMSearch-R1: Incentivizing LMMs to Search

As of 11 August 2026, this Paper Citation Record lists 94 of 94 outbound references and 49 inbound Pith citation observations for arXiv:2506.20670.

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

pith.paper-citation-record.v1
2506.20670 v1

Coverage vector

measured 94 of 94 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-16T15:27:04.228144Z

measured 143 of 143 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 49 of 49 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:17:20.613684Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T07:26:54.458175Z

Reference resolution

94 of 94 outbound references displayed

verified exact42
verified fuzzy42
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b3f02d48-beee-40de-8368-a35c283bdf17 · outbound

This paper cites Open Deep Search: Democratizing Search with Open-source Reasoning Agents.

MMSearch-R1: Incentivizing LMMs to Search Open Deep Search: Democratizing Search with Open-source Reasoning Agents

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:27:04.453500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2b362c8d-c99e-4f37-a75b-78b41b63d8cc · outbound

This paper cites Claude 3.5 Sonnet.

MMSearch-R1: Incentivizing LMMs to Search Claude 3.5 Sonnet

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T15:27:04.478349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 625d3721-6cde-4d01-bafb-c962a895ca27 · outbound

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

MMSearch-R1: Incentivizing LMMs to Search Self-rag: Learn- ing to retrieve, generate, and critique through self-reflection

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T15:27:04.480784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 84906075-6742-4281-96ee-7d57e6435752 · outbound

This paper cites Mint-1t: Scaling open-source multimodal data by 10x: A multimodal dataset with one trillion tokens.

MMSearch-R1: Incentivizing LMMs to Search Mint-1t: Scaling open-source multimodal data by 10x: A multimodal dataset with one trillion tokens

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T15:27:04.482790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ab1be163-2f60-4fd9-8ba7-0c5d9858f06b · outbound

This paper cites Qwen2.5-VL Technical Report.

MMSearch-R1: Incentivizing LMMs to Search Qwen2.5-VL Technical Report

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-16T15:27:04.319900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 81c8a7bf-6a14-4346-bedc-8854aa638b90 · outbound

This paper cites How do large language models acquire factual knowledge during pretraining? In The Thirty-eighth Annual Conference on Neural Information Processing Systems.

MMSearch-R1: Incentivizing LMMs to Search How do large language models acquire factual knowledge during pretraining? In The Thirty-eighth Annual Conference on Neural Information Processing Systems

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T15:27:04.485050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e6f0ccc0-697e-4151-bf65-fca28838351b · outbound

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

MMSearch-R1: Incentivizing LMMs to Search ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:48:34.842623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation afc29005-0b74-436e-829b-b6689c930461 · outbound

This paper cites MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text.

MMSearch-R1: Incentivizing LMMs to Search MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:27:04.416827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 17b0c8a1-b73e-4bf0-bf58-3901c577b7e7 · outbound

This paper cites Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?.

MMSearch-R1: Incentivizing LMMs to Search Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:27:04.427821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0eb58194-925d-49d8-983b-041ace8443a5 · outbound

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

MMSearch-R1: Incentivizing LMMs to Search MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected Training

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:27:04.434875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e17188d3-2f44-40b3-8900-0edc37622f60 · outbound

This paper cites Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks.

MMSearch-R1: Incentivizing LMMs to Search Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T15:27:04.488440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fbc4531d-c318-4367-899c-a4fa4613917c · outbound

This paper cites UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation.

MMSearch-R1: Incentivizing LMMs to Search UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:27:04.337424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c27950f7-ce82-4e43-ae90-7b358097072c · outbound

This paper cites SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models.

MMSearch-R1: Incentivizing LMMs to Search SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:27:04.346211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8dbab8bf-71f3-41b5-8021-4cfc77f8f8bc · outbound

This paper cites Claude takes research to new places.

MMSearch-R1: Incentivizing LMMs to Search Claude takes research to new places

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T15:27:04.490611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7dc3ed3a-6c1c-4447-86d3-7920bfa1d718 · outbound

This paper cites Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges.

MMSearch-R1: Incentivizing LMMs to Search Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:27:04.393958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e768521e-f731-4390-ba9b-14a09ac76714 · outbound

This paper cites Scalable Vision Language Model Training via High Quality Data Curation.

MMSearch-R1: Incentivizing LMMs to Search Scalable Vision Language Model Training via High Quality Data Curation

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:27:04.398232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8c6549d0-0175-448d-87be-5f40f198498d · outbound

This paper cites MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.

MMSearch-R1: Incentivizing LMMs to Search MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-16T15:27:04.405020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fc9fc268-79b7-4c0d-8317-fa1eeb9a0aa9 · outbound

This paper cites Seeking and Updating with Live Visual Knowledge.

MMSearch-R1: Incentivizing LMMs to Search Seeking and Updating with Live Visual Knowledge

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:27:04.408857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4f2ea191-b141-4293-b095-e984551c2564 · outbound

This paper cites Try Deep Research and our new experimental model in Gemini, your AI assistant.

MMSearch-R1: Incentivizing LMMs to Search Try Deep Research and our new experimental model in Gemini, your AI assistant

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T15:27:04.492762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 33cb84f8-64e7-4a44-b8f2-adc2ce9e73a8 · outbound

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

MMSearch-R1: Incentivizing LMMs to Search DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-16T15:27:04.420764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation aef7d841-ab9a-4945-8825-db8c755cbb90 · outbound

This paper cites Avis: Autonomous visual information seeking with large language model agent.

MMSearch-R1: Incentivizing LMMs to Search Avis: Autonomous visual information seeking with large language model agent

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T15:27:04.494964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 92624386-99e4-4d74-996c-847ef51f12a4 · outbound

This paper cites Reveal: Retrieval-augmented visual-language pre-training with multi-source multimodal knowledge memory.

MMSearch-R1: Incentivizing LMMs to Search Reveal: Retrieval-augmented visual-language pre-training with multi-source multimodal knowledge memory

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T15:27:04.497149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e7a9fb1a-f6cd-4f9b-bcb6-4a4882016b2b · outbound

This paper cites GPT-4o System Card.

MMSearch-R1: Incentivizing LMMs to Search GPT-4o System Card

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-16T15:27:04.437925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 28eded4e-e308-4e13-b49f-a6b320117d0e · outbound

This paper cites Atlas: Few-shot Learning with Retrieval Augmented Language Models.

MMSearch-R1: Incentivizing LMMs to Search Atlas: Few-shot Learning with Retrieval Augmented Language Models

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-16T15:27:04.441724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 253b989b-4dec-4533-bc0c-94017bd55637 · outbound

This paper cites OpenAI o1 System Card.

MMSearch-R1: Incentivizing LMMs to Search OpenAI o1 System Card

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-05-16T15:27:04.445309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 36326ec6-1812-41b4-b231-95a60536033c · outbound

This paper cites MMSearch: Benchmarking the Potential of Large Models as Multi-modal Search Engines.

MMSearch-R1: Incentivizing LMMs to Search MMSearch: Benchmarking the Potential of Large Models as Multi-modal Search Engines

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T15:27:04.449101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 416f2c83-98f1-45d1-ab3a-ffc11c2fa6c0 · outbound

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

MMSearch-R1: Incentivizing LMMs to Search Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-16T15:27:04.278615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 198d83fa-4cb1-41f8-a63a-b6c6df0c9ccb · outbound

This paper cites Large language models struggle to learn long-tail knowledge.

MMSearch-R1: Incentivizing LMMs to Search Large language models struggle to learn long-tail knowledge

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T15:27:04.499358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9753edec-3a83-4dc8-a8aa-4ad693358f43 · outbound

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

MMSearch-R1: Incentivizing LMMs to Search Dense passage retrieval for open-domain question answering

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T15:27:04.501756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 18482141-03af-44a0-b45f-6583cf29fd4d · outbound

This paper cites A diagram is worth a dozen images.

MMSearch-R1: Incentivizing LMMs to Search A diagram is worth a dozen images

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T15:27:04.503895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c2233a85-117c-4f2a-98f8-064393a32ed1 · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks.

MMSearch-R1: Incentivizing LMMs to Search Retrieval-augmented generation for knowledge-intensive nlp tasks

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T15:27:04.506750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f7c2fb4b-b5b0-4b41-9c7a-8a85ec75b0d5 · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

MMSearch-R1: Incentivizing LMMs to Search LLaVA-OneVision: Easy Visual Task Transfer

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-16T15:27:04.376631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e9d3eefd-96c8-4e8b-ad0a-a00b44db0101 · outbound

This paper cites Aria: An Open Multimodal Native Mixture-of-Experts Model.

MMSearch-R1: Incentivizing LMMs to Search Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:27:04.381238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 59c82d87-8915-4ac6-8908-000316365be2 · outbound

This paper cites Evaluating Object Hallucination in Large Vision-Language Models.

MMSearch-R1: Incentivizing LMMs to Search Evaluating Object Hallucination in Large Vision-Language Models

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-05-16T15:27:04.385470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 76fe4f3e-dc22-4423-82b0-4cb02ef50ad0 · outbound

This paper cites A Comprehensive Evaluation of GPT-4V on Knowledge-Intensive Visual Question Answering.

MMSearch-R1: Incentivizing LMMs to Search A Comprehensive Evaluation of GPT-4V on Knowledge-Intensive Visual Question Answering

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:27:04.389741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation afe43553-4973-4945-9a71-66dafbc68c34 · outbound

This paper cites LLaV A-NeXT: Stronger LLMs Supercharge Multimodal Capabilities in the Wild.

MMSearch-R1: Incentivizing LMMs to Search LLaV A-NeXT: Stronger LLMs Supercharge Multimodal Capabilities in the Wild

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T15:27:04.509962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0fffc850-59dd-4d0f-a73c-5c113d6ebe2d · outbound

This paper cites Vila: On pre-training for visual language models.

MMSearch-R1: Incentivizing LMMs to Search Vila: On pre-training for visual language models

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T15:27:04.513545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation db0e5503-8a13-4c50-ad98-7e8f537ac9b7 · outbound

This paper cites A Survey on Hallucination in Large Vision-Language Models.

MMSearch-R1: Incentivizing LMMs to Search A Survey on Hallucination in Large Vision-Language Models

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-05-16T15:27:04.401462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation afa913b8-4148-4c06-b76c-4cdcb59e3154 · outbound

This paper cites Visual instruction tuning.Advances in neural information processing systems.

MMSearch-R1: Incentivizing LMMs to Search Visual instruction tuning.Advances in neural information processing systems

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T15:27:04.516944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2f7512d4-8f89-46c8-8708-e03762d56927 · outbound

This paper cites Ocrbench: on the hidden mystery of ocr in large multimodal models.

MMSearch-R1: Incentivizing LMMs to Search Ocrbench: on the hidden mystery of ocr in large multimodal models

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T15:27:04.519788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d9c39839-9e53-4959-ad6d-8aa6b57253b8 · outbound

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

MMSearch-R1: Incentivizing LMMs to Search MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-05-16T15:27:04.412789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 429a4f91-792e-4609-a8c8-c7c4373c8e1b · outbound

This paper cites Search augmented instruction learning.

MMSearch-R1: Incentivizing LMMs to Search Search augmented instruction learning

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T15:27:04.522242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fdb8cea0-1516-49fc-819e-f97320758ee7 · outbound

This paper cites Ok-vqa: A visual question answering benchmark requiring external knowledge.

MMSearch-R1: Incentivizing LMMs to Search Ok-vqa: A visual question answering benchmark requiring external knowledge

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T15:27:04.524503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d980d303-9e68-4766-b295-b7fe3bbb59a8 · outbound

This paper cites ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning.

MMSearch-R1: Incentivizing LMMs to Search ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-05-16T15:27:04.424149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 62c01d96-d11a-4d4b-bdb2-723e790f1748 · outbound

This paper cites Llama 3.2: Revolutionizing edge AI and vision with open, customizable models.

MMSearch-R1: Incentivizing LMMs to Search Llama 3.2: Revolutionizing edge AI and vision with open, customizable models

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T15:27:04.526813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9d5b7531-ca6e-4a28-a2a4-395b39d75f69 · outbound

This paper cites WebGPT: Browser-assisted question-answering with human feedback.

MMSearch-R1: Incentivizing LMMs to Search WebGPT: Browser-assisted question-answering with human feedback

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-05-16T15:27:04.431295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 429f3f93-b749-4c82-87f6-c621b72694f8 · outbound

This paper cites Introducing deep research.

MMSearch-R1: Incentivizing LMMs to Search Introducing deep research

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T15:27:04.528923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9217ac73-fd86-42d8-a4bc-2d76cba87676 · outbound

This paper cites OpenAI o3 and o4-mini System Card.

MMSearch-R1: Incentivizing LMMs to Search OpenAI o3 and o4-mini System Card

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T15:27:04.530986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5c7a378a-c1b1-4814-8921-00f116ab7308 · outbound

This paper cites Introducing Perplexity Deep Research.

MMSearch-R1: Incentivizing LMMs to Search Introducing Perplexity Deep Research

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T15:27:04.532996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation df098708-462f-4788-a250-9d009544b528 · outbound

This paper cites Qwen3: Think Deeper, Act Faster.

MMSearch-R1: Incentivizing LMMs to Search Qwen3: Think Deeper, Act Faster

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T15:27:04.535101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a1992e64-7f36-472d-a59d-36d015b336c7 · outbound

This paper cites Learning transferable visual models from natural language supervision.

MMSearch-R1: Incentivizing LMMs to Search Learning transferable visual models from natural language supervision

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T15:27:04.537234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 803e8584-7609-4217-afca-c4df22630c5c · outbound

This paper cites Toolformer: Language models can teach themselves to use tools.

MMSearch-R1: Incentivizing LMMs to Search Toolformer: Language models can teach themselves to use tools

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T15:27:04.539203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 86456fad-f86c-4f56-b3b7-81eae666eb02 · outbound

This paper cites Proximal Policy Optimization Algorithms.

MMSearch-R1: Incentivizing LMMs to Search Proximal Policy Optimization Algorithms

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-05-16T15:27:04.283567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 028aeb9c-6a8d-4c19-b596-7772ec9390e5 · outbound

This paper cites Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy.

MMSearch-R1: Incentivizing LMMs to Search Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:27:04.288985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bf74a1a0-a579-4018-bde3-ffe8239dd37f · outbound

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

MMSearch-R1: Incentivizing LMMs to Search DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-05-16T15:27:04.293465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7bda4ffc-1e9b-4a2f-b809-8161f02d7a53 · outbound

This paper cites HybridFlow: A Flexible and Efficient RLHF Framework.

MMSearch-R1: Incentivizing LMMs to Search HybridFlow: A Flexible and Efficient RLHF Framework

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-05-16T15:27:04.297908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9cab197d-041f-4016-8456-b654faa25a3e · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

MMSearch-R1: Incentivizing LMMs to Search Gemini: A Family of Highly Capable Multimodal Models

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-05-16T15:27:04.302160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 72d823a9-7154-4c18-9dbd-b136a94a75e3 · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

MMSearch-R1: Incentivizing LMMs to Search Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-05-16T15:27:04.306580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9556cc53-a69b-4904-92f2-650f750ec813 · outbound

This paper cites Kimi-VL Technical Report.

MMSearch-R1: Incentivizing LMMs to Search Kimi-VL Technical Report

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-05-16T15:27:04.310839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6f006898-0642-44de-ac32-d48b7cb8d6c9 · outbound

This paper cites InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining.

MMSearch-R1: Incentivizing LMMs to Search InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:27:04.315830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e92d8234-e30e-4881-b300-e43b659d7b87 · outbound

This paper cites Mdr: Model-specific demonstration retrieval at inference time for in-context learning.

MMSearch-R1: Incentivizing LMMs to Search Mdr: Model-specific demonstration retrieval at inference time for in-context learning

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T15:27:04.541548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 88ae1726-3604-42ef-aef6-8e719bafce47 · outbound

This paper cites Scaling Pre-training to One Hundred Billion Data for Vision Language Models.

MMSearch-R1: Incentivizing LMMs to Search Scaling Pre-training to One Hundred Billion Data for Vision Language Models

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-06-02T03:03:58.670309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0998698a-d935-465a-a0df-92da4873bb6b · outbound

This paper cites Demystifying CLIP Data.

MMSearch-R1: Incentivizing LMMs to Search Demystifying CLIP Data

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-05-16T15:27:04.328458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 21cc2032-b821-455d-a7cb-103068b83011 · outbound

This paper cites VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents.

MMSearch-R1: Incentivizing LMMs to Search VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:37:25.955223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b93e182a-e70d-47ff-92e4-2bb54b22a1a5 · outbound

This paper cites Rankrag: Unifying context ranking with retrieval-augmented generation in llms.

MMSearch-R1: Incentivizing LMMs to Search Rankrag: Unifying context ranking with retrieval-augmented generation in llms

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T15:27:04.543441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3ca77f38-1b04-454e-b51f-3d1e2a2bf5e2 · outbound

This paper cites LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models.

MMSearch-R1: Incentivizing LMMs to Search LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:19:22.513527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c8295a8f-46fc-4162-9792-c5525caf68fc · outbound

This paper cites Raft: Adapting language model to domain specific rag.

MMSearch-R1: Incentivizing LMMs to Search Raft: Adapting language model to domain specific rag

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T15:27:04.545344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 07cc1ea5-4d39-47ed-aa23-194287dc94d8 · outbound

This paper cites 2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining.

MMSearch-R1: Incentivizing LMMs to Search 2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:27:04.350557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2d883cd6-d552-4a7f-a565-86d5b4dc3436 · outbound

This paper cites LLaVA-Video: Video Instruction Tuning With Synthetic Data.

MMSearch-R1: Incentivizing LMMs to Search LLaVA-Video: Video Instruction Tuning With Synthetic Data

Reference 69

Resolution: verified exact; local_arxiv, observed 2026-05-16T15:27:04.354589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fdd8921a-fe0a-40e5-b704-e73f448640eb · outbound

This paper cites Vision Search Assistant: Empower Vision-Language Models as Multimodal Search Engines.

MMSearch-R1: Incentivizing LMMs to Search Vision Search Assistant: Empower Vision-Language Models as Multimodal Search Engines

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:27:04.359334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ee0dbc75-df81-4138-b16f-fd709ff2ce15 · outbound

This paper cites LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.

MMSearch-R1: Incentivizing LMMs to Search LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Reference 71

Resolution: verified exact; local_arxiv, observed 2026-05-16T15:27:04.363149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e8d6990d-a15c-463b-8369-11ea44ac6ce5 · outbound

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

MMSearch-R1: Incentivizing LMMs to Search DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:58:59.023888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b84d9fb7-b5f7-40fc-8e35-9ef676aa2f15 · outbound

This paper cites Mitchell is best known for designing the Supermarine Splitfire.

MMSearch-R1: Incentivizing LMMs to Search Mitchell is best known for designing the Supermarine Splitfire

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T15:27:04.547657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 39a3a04f-50cd-4a9d-9364-5cfe8d54e258 · outbound

This paper cites Search Results Figure 6: The overall architecture of the multimodal search pipeline.

MMSearch-R1: Incentivizing LMMs to Search Search Results Figure 6: The overall architecture of the multimodal search pipeline

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T15:27:04.549847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9d72719e-9396-4de2-b89d-bc10ff0f284a · outbound

This paper cites an unresolved cited work.

MMSearch-R1: Incentivizing LMMs to Search Unresolved cited work

Reference 75

Resolution: unresolved; raw_fallback, observed 2026-05-16T15:27:04.551788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 63b9ba00-cf40-47b8-99ca-e0b67afa820e · outbound

This paper cites Who", "What.

MMSearch-R1: Incentivizing LMMs to Search Who", "What

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T15:27:04.553915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1a990430-1aa6-4d6c-90fb-23fafc51a7ec · outbound

This paper cites an unresolved cited work.

MMSearch-R1: Incentivizing LMMs to Search Unresolved cited work

Reference 77

Resolution: unresolved; raw_fallback, observed 2026-05-16T15:27:04.556019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 400d2352-aa2a-4bb7-9270-bde5c15fe2c3 · outbound

This paper cites Unable to answer due to lack of relevant information.

MMSearch-R1: Incentivizing LMMs to Search Unable to answer due to lack of relevant information

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T15:27:04.558140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d838226e-2b8d-4356-886d-88d1afe6ec64 · outbound

This paper cites an unresolved cited work.

MMSearch-R1: Incentivizing LMMs to Search Unresolved cited work

Reference 80

Resolution: unresolved; raw_fallback, observed 2026-05-16T15:27:04.559921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0c382608-1728-486c-937f-8b65d6083744 · outbound

This paper cites Based on the question, image and image search results, please raise a text query to the search engine to search for what is useful for you to answer the question correctly.

MMSearch-R1: Incentivizing LMMs to Search Based on the question, image and image search results, please raise a text query to the search engine to search for what is useful for you to answer the question correctly

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T15:27:04.562036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1feb88da-d221-4488-ad94-f17776edde04 · outbound

This paper cites an unresolved cited work.

MMSearch-R1: Incentivizing LMMs to Search Unresolved cited work

Reference 82

Resolution: unresolved; raw_fallback, observed 2026-05-16T15:27:04.564086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 036511ca-2ffd-4690-9347-962f529ea73c · outbound

This paper cites an unresolved cited work.

MMSearch-R1: Incentivizing LMMs to Search Unresolved cited work

Reference 83

Resolution: unresolved; raw_fallback, observed 2026-05-16T15:27:04.566097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c3561c88-f8e4-4bd9-b313-4d6df7d69b0c · outbound

This paper cites an unresolved cited work.

MMSearch-R1: Incentivizing LMMs to Search Unresolved cited work

Reference 84

Resolution: unresolved; raw_fallback, observed 2026-05-16T15:27:04.568128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 397e8a3c-918f-43c2-ab3f-ae8126a00468 · outbound

This paper cites an unresolved cited work.

MMSearch-R1: Incentivizing LMMs to Search Unresolved cited work

Reference 85

Resolution: unresolved; raw_fallback, observed 2026-05-16T15:27:04.570194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 314f5f89-7053-4ab1-9eac-6b389aacd553 · outbound

This paper cites an unresolved cited work.

MMSearch-R1: Incentivizing LMMs to Search Unresolved cited work

Reference 86

Resolution: unresolved; raw_fallback, observed 2026-05-16T15:27:04.572257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3ba4e51a-9802-43ca-9678-ca4a07111fb5 · outbound

This paper cites an unresolved cited work.

MMSearch-R1: Incentivizing LMMs to Search Unresolved cited work

Reference 87

Resolution: unresolved; raw_fallback, observed 2026-05-16T15:27:04.456389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation eca017ae-ed86-45e5-abc8-d88d4e2a035f · outbound

This paper cites If the middle name is extra but correct, consider it correct.

MMSearch-R1: Incentivizing LMMs to Search If the middle name is extra but correct, consider it correct

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T15:27:04.459462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4e81e160-b98a-4fcc-a949-ce3ad411c376 · outbound

This paper cites Yes" or.

MMSearch-R1: Incentivizing LMMs to Search Yes" or

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T15:27:04.461958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d8290bef-6083-4773-95bb-6414b90f2571 · outbound

This paper cites Refer to the image only when necessary to minimize misjudgment.

MMSearch-R1: Incentivizing LMMs to Search Refer to the image only when necessary to minimize misjudgment

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T15:27:04.464632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5bd03ea3-c6f2-4f4a-8d70-3f5eb8027309 · outbound

This paper cites If the response aligns with at least one candidate according to the rules above, it should be considered correct.

MMSearch-R1: Incentivizing LMMs to Search If the response aligns with at least one candidate according to the rules above, it should be considered correct

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T15:27:04.467049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c21af0b9-58cf-4941-86bb-8b4cfcf47937 · outbound

This paper cites Yes" or.

MMSearch-R1: Incentivizing LMMs to Search Yes" or

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T15:27:04.469207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 52ec12e4-c394-4bc1-bfc4-9b4c4f5a46e0 · outbound

This paper cites The decision followed a comprehensive internal review.

MMSearch-R1: Incentivizing LMMs to Search The decision followed a comprehensive internal review

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T15:27:04.471913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7f3e60f7-d74e-42bc-a674-350645dbb58f · outbound

This paper cites Following this cancellation.

MMSearch-R1: Incentivizing LMMs to Search Following this cancellation

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T15:27:04.474020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 52428244-a452-4e58-91b2-5f0abc2e9683 · outbound

This paper cites Battle of Flodden.

MMSearch-R1: Incentivizing LMMs to Search Battle of Flodden

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T15:27:04.476233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

Observation f5e920ef-b2ce-4b2c-b9bb-2e4c2807f857 · inbound

Mixture-of-Retrieval Experts for Reasoning-Guided Multimodal Knowledge Exploitation cites this paper.

Mixture-of-Retrieval Experts for Reasoning-Guided Multimodal Knowledge Exploitation MMSearch-R1: Incentivizing LMMs to Search

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-05-19T13:52:19.930346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4c5f3fec-36e2-407a-b268-45f443a9ed73 · inbound

VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning cites this paper.

VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning MMSearch-R1: Incentivizing LMMs to Search

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T16:33:59.034226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a788f0ba-d0a3-40a2-920b-fbbf6831c059 · inbound

TAR: Temporal Anchor-Constrained Reasoning for Video Temporal Grounding cites this paper.

TAR: Temporal Anchor-Constrained Reasoning for Video Temporal Grounding MMSearch-R1: Incentivizing LMMs to Search

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-05T22:01:26.017258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66900148-4dd5-4a78-bd8c-4b461a3f19fc · inbound

MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents cites this paper.

MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents MMSearch-R1: Incentivizing LMMs to Search

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-05T20:18:58.629661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3eace9c-2aa3-48a9-a23e-147b65808920 · inbound

Mini-o3: Scaling Up Reasoning Patterns and Interaction Turns for Visual Search cites this paper.

Mini-o3: Scaling Up Reasoning Patterns and Interaction Turns for Visual Search MMSearch-R1: Incentivizing LMMs to Search

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-05-18T01:17:55.583663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cd68caac-9f0d-4ae3-90d8-da8961af88f8 · inbound

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation cites this paper.

VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation MMSearch-R1: Incentivizing LMMs to Search

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:42.435539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b1c2a2a-59ac-4f80-a8f1-8554758f98d7 · inbound

DeepEyesV2: Toward Agentic Multimodal Model cites this paper.

DeepEyesV2: Toward Agentic Multimodal Model MMSearch-R1: Incentivizing LMMs to Search

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:27:04.573030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a1eacd08-7a31-4abc-8e4d-3ebdbbf1c869 · inbound

SUPERGLASSES: Benchmarking Vision Language Models as Intelligent Agents for AI Smart Glasses cites this paper.

SUPERGLASSES: Benchmarking Vision Language Models as Intelligent Agents for AI Smart Glasses MMSearch-R1: Incentivizing LMMs to Search

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:27:04.573030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7bff5ccd-1286-4353-a6c1-ec7496ccef65 · inbound

Imagination Helps Visual Reasoning, But Not Yet in Latent Space cites this paper.

Imagination Helps Visual Reasoning, But Not Yet in Latent Space MMSearch-R1: Incentivizing LMMs to Search

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T20:40:32.339980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09c7f8a3-dc2b-4c08-8da0-8a6d1fae7926 · inbound

Wiki-R1: Incentivizing Multimodal Reasoning for Knowledge-based VQA via Data and Sampling Curriculum cites this paper.

Wiki-R1: Incentivizing Multimodal Reasoning for Knowledge-based VQA via Data and Sampling Curriculum MMSearch-R1: Incentivizing LMMs to Search

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-15T14:43:21.866055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbc28abd-268c-46d8-9b11-342a292ef159 · inbound

Saliency-R1: Enforcing Interpretable and Faithful Vision-language Reasoning via Saliency-map Alignment Reward cites this paper.

Saliency-R1: Enforcing Interpretable and Faithful Vision-language Reasoning via Saliency-map Alignment Reward MMSearch-R1: Incentivizing LMMs to Search

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:27:04.573030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 98f7b2a9-196c-4e0a-bc8e-28aa5b145015 · inbound

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization cites this paper.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization MMSearch-R1: Incentivizing LMMs to Search

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:27:04.573030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a5d6983e-eb40-4cf4-a06b-42201088f958 · inbound

Act Wisely: Cultivating Meta-Cognitive Tool Use in Agentic Multimodal Models cites this paper.

Act Wisely: Cultivating Meta-Cognitive Tool Use in Agentic Multimodal Models MMSearch-R1: Incentivizing LMMs to Search

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:27:04.573030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 32d2fd6d-559e-47cc-8446-a87dbe1f013a · inbound

VISOR: Agentic Visual Retrieval-Augmented Generation via Iterative Search and Over-horizon Reasoning cites this paper.

VISOR: Agentic Visual Retrieval-Augmented Generation via Iterative Search and Over-horizon Reasoning MMSearch-R1: Incentivizing LMMs to Search

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:27:04.573030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a1052331-2a0f-445b-85f2-b9ef4fc22d1c · inbound

Towards Long-horizon Agentic Multimodal Search cites this paper.

Towards Long-horizon Agentic Multimodal Search MMSearch-R1: Incentivizing LMMs to Search

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:27:04.573030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c00cc5ef-32c4-4372-9745-48b715a6ca9f · inbound

POINTS-Seeker: An Open Recipe for Multimodal Search Agents with Visual Memory Management cites this paper.

POINTS-Seeker: An Open Recipe for Multimodal Search Agents with Visual Memory Management MMSearch-R1: Incentivizing LMMs to Search

Reference 49

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T15:27:04.573030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ef60458e-b334-4276-b91a-29788589cf9c · inbound

POINTS-Seeker: An Open Recipe for Multimodal Search Agents with Visual Memory Management cites this paper.

POINTS-Seeker: An Open Recipe for Multimodal Search Agents with Visual Memory Management MMSearch-R1: Incentivizing LMMs to Search

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-02T16:18:24.971075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21d91918-c6f8-4d17-ba01-a061e7dafa04 · inbound

DR-MMSearchAgent: Deepening Reasoning in Multimodal Search Agents cites this paper.

DR-MMSearchAgent: Deepening Reasoning in Multimodal Search Agents MMSearch-R1: Incentivizing LMMs to Search

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T15:27:04.573030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cd522317-4f8d-45a3-8b10-03728ead3ea1 · inbound

SAKE: Self-aware Knowledge Exploitation-Exploration for Grounded Multimodal Named Entity Recognition cites this paper.

SAKE: Self-aware Knowledge Exploitation-Exploration for Grounded Multimodal Named Entity Recognition MMSearch-R1: Incentivizing LMMs to Search

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:27:04.573030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ae4604a3-1f7b-40d0-bf42-6af2794a5f26 · inbound

ProMMSearchAgent: A Generalizable Multimodal Search Agent Trained with Process-Oriented Rewards cites this paper.

ProMMSearchAgent: A Generalizable Multimodal Search Agent Trained with Process-Oriented Rewards MMSearch-R1: Incentivizing LMMs to Search

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T15:27:04.573030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a69b98a7-d6f5-4ab4-96e5-c2d293e0f667 · inbound

Enhancing Multimodal In-Context Learning via Inductive-Deductive Reasoning cites this paper.

Enhancing Multimodal In-Context Learning via Inductive-Deductive Reasoning MMSearch-R1: Incentivizing LMMs to Search

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:27:04.573030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 97dbcb58-cdb0-4f38-b724-bca8ef5f4491 · inbound

HyperEyes: Dual-Grained Efficiency-Aware Reinforcement Learning for Parallel Multimodal Search Agents cites this paper.

HyperEyes: Dual-Grained Efficiency-Aware Reinforcement Learning for Parallel Multimodal Search Agents MMSearch-R1: Incentivizing LMMs to Search

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:27:04.573030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3d58b791-aad1-4b99-85ac-0c54399895b7 · inbound

HyperEyes: Dual-Grained Efficiency-Aware Reinforcement Learning for Parallel Multimodal Search Agents cites this paper.

HyperEyes: Dual-Grained Efficiency-Aware Reinforcement Learning for Parallel Multimodal Search Agents MMSearch-R1: Incentivizing LMMs to Search

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:27:04.573030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ea0027b8-c6c1-48e5-8029-b661a0d3b388 · inbound

Shaping Schema via Language Representation as the Next Frontier for LLM Intelligence Expanding cites this paper.

Shaping Schema via Language Representation as the Next Frontier for LLM Intelligence Expanding MMSearch-R1: Incentivizing LMMs to Search

Reference 115

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:27:04.573030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1fc50911-949d-4034-8a8f-e9b6559d0882 · inbound

TRACER: Verifiable Generative Provenance for Multimodal Tool-Using Agents cites this paper.

TRACER: Verifiable Generative Provenance for Multimodal Tool-Using Agents MMSearch-R1: Incentivizing LMMs to Search

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:27:04.573030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f2493802-9861-4579-9227-db8bc8256bcd · inbound

Towards On-Policy Data Evolution for Visual-Native Multimodal Deep Search Agents cites this paper.

Towards On-Policy Data Evolution for Visual-Native Multimodal Deep Search Agents MMSearch-R1: Incentivizing LMMs to Search

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T15:27:04.573030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9f71c008-bec7-461a-b959-7014430e8afc · inbound

Towards On-Policy Data Evolution for Visual-Native Multimodal Deep Search Agents cites this paper.

Towards On-Policy Data Evolution for Visual-Native Multimodal Deep Search Agents MMSearch-R1: Incentivizing LMMs to Search

Reference 19

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T13:55:46.367947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c58becbc-3b7f-4f27-9654-b2f21a3b589b · inbound

From Web to Pixels: Bringing Agentic Search into Visual Perception cites this paper.

From Web to Pixels: Bringing Agentic Search into Visual Perception MMSearch-R1: Incentivizing LMMs to Search

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:27:04.573030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 16ee1003-fa56-4a5c-9638-2ec5c6390ac6 · inbound

SVFSearch: A Multimodal Knowledge-Intensive Benchmark for Short-Video Frame Search in the Gaming Vertical Domain cites this paper.

SVFSearch: A Multimodal Knowledge-Intensive Benchmark for Short-Video Frame Search in the Gaming Vertical Domain MMSearch-R1: Incentivizing LMMs to Search

Reference 66

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T10:13:11.977524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8da86291-34ad-4f6b-be1a-723ca61d5518 · inbound

SVFSearch: A Multimodal Knowledge-Intensive Benchmark for Short-Video Frame Search in the Gaming Vertical Domain cites this paper.

SVFSearch: A Multimodal Knowledge-Intensive Benchmark for Short-Video Frame Search in the Gaming Vertical Domain MMSearch-R1: Incentivizing LMMs to Search

Reference 66

Resolution: metadata mismatch; local_arxiv, observed 2026-05-21T08:49:53.433855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8be9944a-c574-4747-8850-db35f39dba21 · inbound

StepGap: A Hybrid NLI-LLM Checker for Step-Level Evidence-Gap Detectionin Multi-Hop Question Answering cites this paper.

StepGap: A Hybrid NLI-LLM Checker for Step-Level Evidence-Gap Detectionin Multi-Hop Question Answering MMSearch-R1: Incentivizing LMMs to Search

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T13:04:40.506738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 18460c0e-138e-4c36-9c0d-78b44b18d44a · inbound

Agent Explorative Policy Optimization for Multimodal Agentic Reasoning cites this paper.

Agent Explorative Policy Optimization for Multimodal Agentic Reasoning MMSearch-R1: Incentivizing LMMs to Search

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-06-29T12:23:24.115378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b3ec0336-cebe-4876-8895-943354b939ec · inbound

TAPO: Tool-Aware Policy Optimization via Credit Transfer for Multimodal Search Agents cites this paper.

TAPO: Tool-Aware Policy Optimization via Credit Transfer for Multimodal Search Agents MMSearch-R1: Incentivizing LMMs to Search

Reference 19

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T12:16:57.759885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a46b1d44-f719-41ce-b224-e9f3468ba641 · inbound

Ground Then Rank: Revisiting Knowledge-Based VQA with Training-Free Entity Identification cites this paper.

Ground Then Rank: Revisiting Knowledge-Based VQA with Training-Free Entity Identification MMSearch-R1: Incentivizing LMMs to Search

Reference 58

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T10:59:46.852810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 062df9cc-7d8c-4e07-9360-b3b013de5ecd · 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 MMSearch-R1: Incentivizing LMMs to Search

Reference 58

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T12:53:26.570865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 766aa02c-214c-4f64-9a17-f8e4abb8c9a9 · inbound

ProMSA:Progressive Multimodal Search Agents for Knowledge-Based Visual Question Answering cites this paper.

ProMSA:Progressive Multimodal Search Agents for Knowledge-Based Visual Question Answering MMSearch-R1: Incentivizing LMMs to Search

Reference 26

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T18:53:51.961092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 49c68206-be00-49d2-98a3-9263f0ea2ccb · inbound

SimpleSearch-VL: A Simple Recipe for Multimodal Agentic Deep Search cites this paper.

SimpleSearch-VL: A Simple Recipe for Multimodal Agentic Deep Search MMSearch-R1: Incentivizing LMMs to Search

Reference 36

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T09:55:41.078480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3e6cf177-c0c2-41f9-8207-04c11ed9b167 · inbound

VideoSearcher: Empowering Video Deep Research with Multi-Tool Agentic Reasoning via Reinforcement Learning cites this paper.

VideoSearcher: Empowering Video Deep Research with Multi-Tool Agentic Reasoning via Reinforcement Learning MMSearch-R1: Incentivizing LMMs to Search

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-12T06:04:16.637378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db4963ce-c8f2-413d-a49f-f38173e4dbf4 · inbound

CanvasAgent: Enabling Complex Image Creation and Editing via Visual Tool Orchestration cites this paper.

CanvasAgent: Enabling Complex Image Creation and Editing via Visual Tool Orchestration MMSearch-R1: Incentivizing LMMs to Search

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-11T15:24:53.016199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef44b7d8-c45a-4ff3-8a0b-77c4661c1904 · inbound

Harness VLA: Steering Frozen VLAs into Reliable Manipulation Primitives via Memory-Guided Agents cites this paper.

Harness VLA: Steering Frozen VLAs into Reliable Manipulation Primitives via Memory-Guided Agents MMSearch-R1: Incentivizing LMMs to Search

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-07-10T07:26:54.459431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0cca97aa-121a-467a-933c-d93da70d0754 · inbound

Harness VLA: Steering Frozen VLAs into Reliable Manipulation Primitives via Memory-Guided Agents cites this paper.

Harness VLA: Steering Frozen VLAs into Reliable Manipulation Primitives via Memory-Guided Agents MMSearch-R1: Incentivizing LMMs to Search

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-02T07:56:56.595588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f738df4-6696-4592-8c6d-2d034cfba0d2 · inbound

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp cites this paper.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp MMSearch-R1: Incentivizing LMMs to Search

Reference 85

Resolution: unresolved; no resolver link, observed 2026-07-14T10:51:16.019022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b65e372-1a50-4ec7-bb28-610ca38a9dd9 · inbound

Silent Failures in Multimodal Agentic Search:A Diagnostic Taxonomy and Cross-Judge Evaluation cites this paper.

Silent Failures in Multimodal Agentic Search:A Diagnostic Taxonomy and Cross-Judge Evaluation MMSearch-R1: Incentivizing LMMs to Search

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T11:45:55.032110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8179bfcf-91ee-4982-abc8-764905b7bf40 · inbound

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG cites this paper.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG MMSearch-R1: Incentivizing LMMs to Search

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T10:20:51.281748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7184788c-89a2-49b9-81f2-1c297ce91acd · inbound

MemeBench: What LVLMs Miss When Interpreting Culture-Dependent Memes cites this paper.

MemeBench: What LVLMs Miss When Interpreting Culture-Dependent Memes MMSearch-R1: Incentivizing LMMs to Search

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T01:14:37.987891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5baf118b-e99b-4f23-9cf4-4312e2ea67a0 · inbound

VIG-RL: Learning to Search and Insert for Verified Image Grounding cites this paper.

VIG-RL: Learning to Search and Insert for Verified Image Grounding MMSearch-R1: Incentivizing LMMs to Search

Reference 69

Resolution: unresolved; no resolver link, observed 2026-07-31T19:16:59.859725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 496c2b04-519a-410b-9bee-1d53c9b93c69 · inbound

DeepVoyager-VL: Incentivizing Vision-in-the-Loop Search for Long-Horizon Multimodal Agents cites this paper.

DeepVoyager-VL: Incentivizing Vision-in-the-Loop Search for Long-Horizon Multimodal Agents MMSearch-R1: Incentivizing LMMs to Search

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T20:12:42.088950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 637e9dc8-9f97-41b9-8b13-f92c671435e6 · inbound

Video-DeepResearch: Towards the Next-Generation Multimodal Deepresearch Agent cites this paper.

Video-DeepResearch: Towards the Next-Generation Multimodal Deepresearch Agent MMSearch-R1: Incentivizing LMMs to Search

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T04:44:28.704735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97be0b3f-9e47-4d58-b683-133ab4355bcb · inbound

AgentPatch: Coarse-to-Fine Weak-Task Repair for Merging Agentic Multimodal Large Language Models cites this paper.

AgentPatch: Coarse-to-Fine Weak-Task Repair for Merging Agentic Multimodal Large Language Models MMSearch-R1: Incentivizing LMMs to Search

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T22:17:20.613684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.