Paper Citation Record · LEDGER

MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency

As of 20 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 32 inbound Pith citation observations for arXiv:2502.09621.

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

pith.paper-citation-record.v1
2502.09621 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:52:33.342830Z

measured 74 of 74 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:46:40.558808Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

42 of 42 outbound references displayed

verified exact0
verified fuzzy13
unresolved26
parse uncertain2
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External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 5268d74f-0072-4c18-9d41-55e57ef0b1e3 · outbound

This paper cites an unresolved cited work.

MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency Unresolved cited work

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60c66316-3e0b-46d4-98f2-843bcc714195 · outbound

This paper cites an unresolved cited work.

MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency Unresolved cited work

Reference 2

Resolution: parse uncertain; no resolver link, observed 2026-08-07T20:52:33.225874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d8a2952-ba3d-4120-a0d7-681deac05cc8 · outbound

This paper cites step_index.

MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency step_index

Reference 3

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Source-reported events for the cited work

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Observation 749ba094-bf85-43c2-89b7-cb04ac67f73c · outbound

This paper cites an unresolved cited work.

MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency Unresolved cited work

Reference 4

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Source-reported events for the cited work

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Observation 832d0332-acf3-4264-a511-6511a964f633 · outbound

This paper cites Direct Evaluation Prompt Answer Extraction Prompt You are an AI assistant who will help me to extract an answer of a question.

MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency Direct Evaluation Prompt Answer Extraction Prompt You are an AI assistant who will help me to extract an answer of a question

Reference 5

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Source-reported events for the cited work

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Observation 1d09d559-de96-461e-9f8a-bcb115ffbfa3 · outbound

This paper cites an unresolved cited work.

MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency Unresolved cited work

Reference 6

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Source-reported events for the cited work

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Observation 241ae9be-adf7-4cd6-b396-f9284dd70b26 · outbound

This paper cites an unresolved cited work.

MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency Unresolved cited work

Reference 7

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Source-reported events for the cited work

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Observation 7508e86b-7e80-43ac-9dac-77cc4b31164d · outbound

This paper cites an unresolved cited work.

MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency Unresolved cited work

Reference 8

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This paper cites an unresolved cited work.

MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency Unresolved cited work

Reference 9

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Source-reported events for the cited work

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This paper cites an unresolved cited work.

MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency Unresolved cited work

Reference 10

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Source-reported events for the cited work

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Observation 746b7039-1864-4aba-8952-4eed97adca3b · outbound

This paper cites an unresolved cited work.

MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency Unresolved cited work

Reference 12

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Source-reported events for the cited work

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This paper cites step_type.

MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency step_type

Reference 13

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Source-reported events for the cited work

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Observation 21d869f2-4f1b-4ad2-a4ed-51e2f37e3a85 · outbound

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MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency Unresolved cited work

Reference 14

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This paper cites an unresolved cited work.

MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency Unresolved cited work

Reference 15

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Source-reported events for the cited work

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Observation 1032d259-babe-4be4-b0f2-ae96d820a6e9 · outbound

This paper cites IMPORTANT NOTE: Evaluate relevancy independent of correctness.

MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency IMPORTANT NOTE: Evaluate relevancy independent of correctness

Reference 16

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Observation 11f8dde7-ef55-4020-aa0d-c3f958bf297b · outbound

This paper cites an unresolved cited work.

MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency Unresolved cited work

Reference 17

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MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency Unresolved cited work

Reference 18

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Observation a4dad2aa-bddf-4ab1-bb8c-2ed28d09d63f · outbound

This paper cites step_type.

MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency step_type

Reference 19

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MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency Unresolved cited work

Reference 20

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MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency Invalid reflections include:

Reference 21

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MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency Unresolved cited work

Reference 22

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MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency Unresolved cited work

Reference 23

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MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency Unresolved cited work

Reference 24

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Source-reported events for the cited work

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This paper cites an unresolved cited work.

MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency Unresolved cited work

Reference 26

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MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency conclusion

Reference 27

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Observation 658fb650-a3c3-4139-a9a9-be57ba9058f8 · outbound

This paper cites an unresolved cited work.

MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency Unresolved cited work

Reference 28

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MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency Unresolved cited work

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Reference 30

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Unavailable: canonical work link unavailable.

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MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency Unresolved cited work

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency You should directly output the choice letter of the answer

Reference 33

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6bb9ab0a-e049-4ff1-b1fd-3479e22a0c0c · outbound

This paper cites an unresolved cited work.

MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency Unresolved cited work

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1e297348-8193-4029-9ab6-177516bf3c7f · outbound

This paper cites [Non Multiple choice question].

MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency [Non Multiple choice question]

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8796a0ba-ad41-48ae-89d1-40a8783cbe91 · outbound

This paper cites It could be hidden inside the last step of calculation or inference.

MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency It could be hidden inside the last step of calculation or inference

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fd13c4a4-d569-4979-a6eb-28eafebd606c · outbound

This paper cites an unresolved cited work.

MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency Unresolved cited work

Reference 37

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 48afadfc-f93a-4090-8f79-e0d194c86a7f · outbound

This paper cites Output Format: Directly output the extracted answer of the response.

MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency Output Format: Directly output the extracted answer of the response

Reference 38

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Source-reported events for the cited work

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Observation bc756eaa-48ea-4aa0-a715-10c6b348493b · outbound

This paper cites an unresolved cited work.

MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency Unresolved cited work

Reference 39

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Source-reported events for the cited work

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MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency [Nan-Multiple-Choice questions]

Reference 40

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Source-reported events for the cited work

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This paper cites an unresolved cited work.

MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency Unresolved cited work

Reference 41

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MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency Output Format: 1

Reference 42

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This paper cites {In Context Examples} Question: {question} [Model Answer]: {extract answer} [Standard Answer]: {gt answer} Your output: 35.

MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency {In Context Examples} Question: {question} [Model Answer]: {extract answer} [Standard Answer]: {gt answer} Your output: 35

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:52:33.392727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 20d4ca02-ffc5-4564-a8f9-efdfbc6e8cab · outbound

This paper cites To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning.

MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 2021

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MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency LLaMA: Open and Efficient Foundation Language Models

Reference 2024

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Pith citing papers

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Chimera: Improving Generalist Model with Domain-Specific Experts cites this paper.

Chimera: Improving Generalist Model with Domain-Specific Experts MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency

Reference 20

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Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey cites this paper.

Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency

Reference 178

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Observation c05d8c33-2704-4454-b15a-81467a564cc8 · inbound

Video-MMLU: A Massive Multi-Discipline Lecture Understanding Benchmark cites this paper.

Video-MMLU: A Massive Multi-Discipline Lecture Understanding Benchmark MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency

Reference 71

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GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets cites this paper.

GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency

Reference 10

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Reinforced MLLM: A Survey on RL-Based Reasoning in Multimodal Large Language Models cites this paper.

Reinforced MLLM: A Survey on RL-Based Reasoning in Multimodal Large Language Models MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency

Reference 39

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T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT cites this paper.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency

Reference 26

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Bridging the Dynamic Perception Gap: Training-Free Draft Chain-of-Thought for Dynamic Multimodal Spatial Reasoning cites this paper.

Bridging the Dynamic Perception Gap: Training-Free Draft Chain-of-Thought for Dynamic Multimodal Spatial Reasoning MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency

Reference 7

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Source-reported events for the cited work

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Observation 64fa8169-87f8-49cf-93a9-1ef6df20847e · inbound

Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models cites this paper.

Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency

Reference 133

Resolution: unresolved; no resolver link, observed 2026-08-07T14:31:20.174450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62227da7-50b8-4328-beae-82ff7276f698 · inbound

MME-Reasoning: A Comprehensive Benchmark for Logical Reasoning in MLLMs cites this paper.

MME-Reasoning: A Comprehensive Benchmark for Logical Reasoning in MLLMs MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T13:35:57.991134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e13b0d27-6df3-4901-8c5d-bd1ed2145f42 · inbound

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation cites this paper.

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:37.308207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd3064e3-fe71-4bab-b0a8-eada1baeb521 · inbound

Seeing is Not Reasoning: MVPBench for Graph-based Evaluation of Multi-path Visual Physical CoT cites this paper.

Seeing is Not Reasoning: MVPBench for Graph-based Evaluation of Multi-path Visual Physical CoT MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T12:36:19.638964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a72d196d-62cc-4209-83be-37aec9055dc7 · inbound

MIRAGE: Assessing Hallucination in Multimodal Reasoning Chains of MLLM cites this paper.

MIRAGE: Assessing Hallucination in Multimodal Reasoning Chains of MLLM MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T12:33:08.379110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f385f3f-9ae7-46d2-8098-d70880665cf6 · inbound

Reinforcing Video Reasoning with Focused Thinking cites this paper.

Reinforcing Video Reasoning with Focused Thinking MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:11.542607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 110bcaec-d601-4d7f-807d-775cf6756cf5 · inbound

Evaluating MLLMs with Multimodal Multi-image Reasoning Benchmark cites this paper.

Evaluating MLLMs with Multimodal Multi-image Reasoning Benchmark MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T11:05:19.357259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cac6d4c7-64c9-4415-9f84-4ca332bb8d68 · inbound

Mimicking or Reasoning: Rethinking Multi-Modal In-Context Learning in Vision-Language Models cites this paper.

Mimicking or Reasoning: Rethinking Multi-Modal In-Context Learning in Vision-Language Models MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T05:25:30.371674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28d5785d-4207-4f33-ae33-38be8ef5b07a · inbound

VGR: Visual Grounded Reasoning cites this paper.

VGR: Visual Grounded Reasoning MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:12:14.480452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6d2fc3ba-87a4-408e-b6d2-28629dc2b5da · inbound

MMReason: An Open-Ended Multi-Modal Multi-Step Reasoning Benchmark for MLLMs Toward AGI cites this paper.

MMReason: An Open-Ended Multi-Modal Multi-Step Reasoning Benchmark for MLLMs Toward AGI MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:38.034436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 537b8e27-1d48-45fe-9349-229f5710d9d2 · inbound

Echo-4o: Harnessing the Power of GPT-4o Synthetic Images for Improved Image Generation cites this paper.

Echo-4o: Harnessing the Power of GPT-4o Synthetic Images for Improved Image Generation MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T20:44:13.035019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b305162-d8bf-4a8c-b1ec-785991a2c9be · inbound

NoisyGRPO: Incentivizing Multimodal CoT Reasoning via Noise Injection and Bayesian Estimation cites this paper.

NoisyGRPO: Incentivizing Multimodal CoT Reasoning via Noise Injection and Bayesian Estimation MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-18T04:40:52.920863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3aaa64e7-2f99-4fcc-81b0-00f248706cd0 · inbound

AgroCoT: A Chain-of-Thought Benchmark for Evaluating Reasoning in Vision-Language Models for Agriculture cites this paper.

AgroCoT: A Chain-of-Thought Benchmark for Evaluating Reasoning in Vision-Language Models for Agriculture MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-21T18:00:26.936626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 56a1bbe8-72e1-4ff9-82a5-9707470a5fb8 · inbound

Zoom-IQA: Image Quality Assessment with Reliable Region-Aware Reasoning cites this paper.

Zoom-IQA: Image Quality Assessment with Reliable Region-Aware Reasoning MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T12:31:13.837612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f622eb48-a493-4d6c-8d6d-0f1cb57d055e · inbound

Can Textual Reasoning Improve the Performance of MLLMs on Fine-grained Visual Classification? cites this paper.

Can Textual Reasoning Improve the Performance of MLLMs on Fine-grained Visual Classification? MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-16T14:53:00.658187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b7c62b84-fba3-43e2-9958-c5d17e716a56 · inbound

M3CoTBench: Benchmark Chain-of-Thought of MLLMs in Medical Image Understanding cites this paper.

M3CoTBench: Benchmark Chain-of-Thought of MLLMs in Medical Image Understanding MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-03T10:49:58.895997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22de22f5-fc81-4bfc-863a-512eface1961 · inbound

LatentChem: From Textual CoT to Latent Thinking in Chemical Reasoning cites this paper.

LatentChem: From Textual CoT to Latent Thinking in Chemical Reasoning MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T04:03:52.139078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67411b12-62ff-4ea4-aa44-03ef635dfc84 · inbound

Diagnosing Pathological Chain-of-Thought in Reasoning Models cites this paper.

Diagnosing Pathological Chain-of-Thought in Reasoning Models MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T23:26:30.170558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30637812-e859-4696-a2b8-697ebc23ace7 · inbound

Video-MME-v2: Towards the Next Stage in Benchmarks for Comprehensive Video Understanding cites this paper.

Video-MME-v2: Towards the Next Stage in Benchmarks for Comprehensive Video Understanding MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:55:51.274219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b2fe1677-9a24-4a1f-a230-d30daf5ec570 · inbound

ATLAS: Agentic or Latent Visual Reasoning? One Word is Enough for Both cites this paper.

ATLAS: Agentic or Latent Visual Reasoning? One Word is Enough for Both MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-15T03:14:53.506781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 06e5d8b0-8dd7-4a95-84c8-b9f2c1406538 · inbound

Are Tools Always Beneficial? Learning to Invoke Tools Adaptively for Dual-Mode Multimodal LLM Reasoning cites this paper.

Are Tools Always Beneficial? Learning to Invoke Tools Adaptively for Dual-Mode Multimodal LLM Reasoning MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T06:18:05.202239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 11673db8-5d71-4ee3-8f23-1c19f5468d58 · inbound

Causal Scaffolding for Physical Reasoning: A Benchmark for Causally-Informed Physical World Understanding in VLMs cites this paper.

Causal Scaffolding for Physical Reasoning: A Benchmark for Causally-Informed Physical World Understanding in VLMs MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-06-27T23:21:23.361183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7ed23d51-c75d-4921-97f1-fbf624222c88 · inbound

OmniCoT: A Benchmark for Global and Multi-Step Panoramic Reasoning cites this paper.

OmniCoT: A Benchmark for Global and Multi-Step Panoramic Reasoning MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T06:14:19.152287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 77198966-2992-4550-b956-aed73dcacc83 · inbound

ProLaViT: Learning Progressive Latent Visual Thoughts in Structured Latent Space cites this paper.

ProLaViT: Learning Progressive Latent Visual Thoughts in Structured Latent Space MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-12T06:13:16.894125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a8a1784-94f6-4d85-9bb5-47133c928073 · inbound

OpenCoF: Learning to Reason Through Video Generation cites this paper.

OpenCoF: Learning to Reason Through Video Generation MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-07-10T01:46:40.945808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.