Paper Citation Record · LEDGER

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

As of 23 August 2026, this Paper Citation Record lists 100 of 113 outbound references and 45 inbound Pith citation observations for arXiv:2501.05444.

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

pith.paper-citation-record.v1
2501.05444 v1

Coverage vector

measured 100 of 113 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:18:59.867228Z

measured 145 of 145 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 45 of 45 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:33:47.134304Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:09:50.233935Z

Reference resolution

100 of 113 outbound references displayed

verified exact2
verified fuzzy18
unresolved79
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 46b02530-cd70-4fc8-9b73-00e9ce62e98e · outbound

This paper cites Greg Lan- druwu2024plot2codem, 8(31.10):5281, 2013.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Greg Lan- druwu2024plot2codem, 8(31.10):5281, 2013

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.449559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14fa4d6e-2547-4c55-a821-15c2d7a109f8 · outbound

This paper cites Khan academy.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Khan academy

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.454610Z

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Observation 3d093895-4ab0-4d83-a0e0-bde7659ab4e2 · outbound

This paper cites GPT-4 Technical Report.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark GPT-4 Technical Report

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.458930Z

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Observation 3211d22e-a5e8-4f81-b9e5-b6479ac530e1 · outbound

This paper cites VISREAS: Complex Visual Reasoning with Unanswerable Questions.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark VISREAS: Complex Visual Reasoning with Unanswerable Questions

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:19:00.635641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 076f321a-ad4a-425a-9f09-a46c3a3634a1 · outbound

This paper cites Claude 3.5 sonnet.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Claude 3.5 sonnet

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.468573Z

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Observation 82627291-00dd-40e2-b146-0a320bfa6a21 · outbound

This paper cites Vqa: Visual question answering.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Vqa: Visual question answering

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.472998Z

Source-reported events for the cited work

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Observation f3cb3538-a059-4694-859f-d1f529e922b2 · outbound

This paper cites Qwen Technical Report.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Qwen Technical Report

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.478229Z

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Observation d8f4ba97-6a51-4967-a794-a984b2a9ef25 · outbound

This paper cites Viseval: A benchmark for data visualization in the era of large language models.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Viseval: A benchmark for data visualization in the era of large language models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.487005Z

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Observation 70951517-0338-4286-9c48-afd52e19ba1d · outbound

This paper cites Uniter: Universal image-text representation learning.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Uniter: Universal image-text representation learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.491249Z

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Observation e14bc7da-57d3-437f-930e-d95c1e01be9e · outbound

This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.495233Z

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Observation ee5f873c-6dee-4731-8241-a898d9499189 · outbound

This paper cites CoMT: A Novel Benchmark for Chain of Multi-modal Thought on Large Vision-Language Models.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark CoMT: A Novel Benchmark for Chain of Multi-modal Thought on Large Vision-Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.500206Z

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Observation eba7d77c-7753-4477-ac84-c127ba18b377 · outbound

This paper cites On the Measure of Intelligence.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark On the Measure of Intelligence

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.505071Z

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Observation 1a1c06c1-4593-4752-bc9f-0dbf6cca4292 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Training Verifiers to Solve Math Word Problems

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.509911Z

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Observation ba0b953c-972e-4b30-9c11-fa618e9f2640 · outbound

This paper cites Codeforces.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Codeforces

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.514094Z

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Observation c7e84cf4-f6d5-4005-b2e4-6fd89c07ae6e · outbound

This paper cites EXAMS-V: A Multi-Discipline Multilingual Multimodal Exam Benchmark for Evaluating Vision Language Models.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark EXAMS-V: A Multi-Discipline Multilingual Multimodal Exam Benchmark for Evaluating Vision Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.518452Z

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Observation 6cd4b9f5-91e0-4d7b-90c5-96dd9a1cae71 · outbound

This paper cites Gemini 2.0 flash thinking mode.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Gemini 2.0 flash thinking mode

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.522338Z

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Observation 90b3e9d7-14ba-4eae-a20e-36798e4c72fe · outbound

This paper cites Introducing gemini 2.0: our new ai model for the agentic era.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Introducing gemini 2.0: our new ai model for the agentic era

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.526922Z

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Observation aa282e4b-3422-47e8-bf01-f17ed1e52da6 · outbound

This paper cites Deepseek-r1-lite-preview is now live: un- leashing supercharged reasoning power! https://api- docs.deepseek.com/news/news1120, 2024.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Deepseek-r1-lite-preview is now live: un- leashing supercharged reasoning power! https://api- docs.deepseek.com/news/news1120, 2024

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.530484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2565ee91-18a7-4971-9f5d-691e5bb64fa7 · outbound

This paper cites The Llama 3 Herd of Models.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark The Llama 3 Herd of Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.535228Z

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Observation babb6af9-8727-4a53-b713-e0b26a5d3279 · outbound

This paper cites IsoBench: Benchmarking Multimodal Foundation Models on Isomorphic Representations.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark IsoBench: Benchmarking Multimodal Foundation Models on Isomorphic Representations

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.538886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70a7997a-fe80-416a-bdb6-13e5673290e2 · outbound

This paper cites The epistemology of visual thinking in mathematics, Feb 2020.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark The epistemology of visual thinking in mathematics, Feb 2020

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.542806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37cda82d-31bc-42e2-942a-d063efc0c57c · outbound

This paper cites Making the v in vqa matter: Elevating the role of image understanding in visual question answer- ing.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Making the v in vqa matter: Elevating the role of image understanding in visual question answer- ing

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.546728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddbd4355-7759-44ce-bd94-73a657a3a50a · outbound

This paper cites ChartLlama: A Multimodal LLM for Chart Understanding and Generation.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark ChartLlama: A Multimodal LLM for Chart Understanding and Generation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.550919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2036de14-bdd4-4dff-ab7c-0b17df18037c · outbound

This paper cites OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.554220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3716284-a980-40f7-9cfd-662dd62fa70e · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Measuring Massive Multitask Language Understanding

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.562074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d5336ba-2e17-4a82-a8ec-3bc5f20d878a · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Measuring Mathematical Problem Solving With the MATH Dataset

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.565972Z

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Unavailable: canonical work link unavailable.

Observation 904be90d-30bf-4e36-91d0-1081315e14d6 · outbound

This paper cites Novachart: A large- scale dataset towards chart understanding and generation of multimodal large language models.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Novachart: A large- scale dataset towards chart understanding and generation of multimodal large language models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.569708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3be78fa-f225-494e-99aa-c25eaadca2f7 · outbound

This paper cites Towards Reasoning in Large Language Models: A Survey.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Towards Reasoning in Large Language Models: A Survey

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.573378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0b885fd-fe6b-4bfa-b9fe-70a49c2421cc · outbound

This paper cites Large Language Models Cannot Self-Correct Reasoning Yet.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Large Language Models Cannot Self-Correct Reasoning Yet

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.577577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52f2157c-e6eb-4379-9ffe-b163cafbc6fe · outbound

This paper cites Gqa: A new dataset for real-world visual reasoning and compositional question answering.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Gqa: A new dataset for real-world visual reasoning and compositional question answering

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.581499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfe477f8-c437-4249-9e75-feb26edff9df · outbound

This paper cites Cladder: Assessing causal reasoning in language models.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Cladder: Assessing causal reasoning in language models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.584996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea7cef7c-dff0-40a5-8ba3-40574c4ac517 · outbound

This paper cites Gonzalez, Hao Zhang, and Ion Stoica.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Gonzalez, Hao Zhang, and Ion Stoica

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.588850Z

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Observation e4616ed0-a19d-4ef4-9e42-5903514ce8c5 · outbound

This paper cites SMiCRM: A Benchmark Dataset of Mechanistic Molecular Images.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark SMiCRM: A Benchmark Dataset of Mechanistic Molecular Images

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:19:00.469696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6b3e57b4-b5e3-4591-917b-d272259502de · outbound

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

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark LLaVA-OneVision: Easy Visual Task Transfer

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.596503Z

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Observation fcd78bbc-f9b5-431e-89a9-a88d5dd2fcbd · outbound

This paper cites Name reactions.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Name reactions

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.600489Z

Source-reported events for the cited work

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Observation 2172043a-f3c7-4aa5-b2bf-0baf33665701 · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.604084Z

Source-reported events for the cited work

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Observation c46d5a91-088d-4f2a-b0a3-079f476777ea · outbound

This paper cites MMCode: Benchmarking Multimodal Large Language Models for Code Generation with Visually Rich Programming Problems.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark MMCode: Benchmarking Multimodal Large Language Models for Code Generation with Visually Rich Programming Problems

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.607732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81907be8-e07d-4f0f-8991-5cd04cc98e82 · outbound

This paper cites Oscar: Object-semantics aligned pre-training for vision-language tasks.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Oscar: Object-semantics aligned pre-training for vision-language tasks

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.611623Z

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Observation b91bf0dd-22be-4ac7-a1a6-2f1a1caed467 · outbound

This paper cites Mmsci: A multimodal multi-discipline dataset for phd-level scientific comprehen- sion.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Mmsci: A multimodal multi-discipline dataset for phd-level scientific comprehen- sion

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.615375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 418e932c-63b7-4325-bd55-0a3affc2ae66 · outbound

This paper cites Let's Verify Step by Step.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Let's Verify Step by Step

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.620295Z

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Unavailable: canonical work link unavailable.

Observation 32a37897-1d1f-465c-90f6-3b860a3363cc · outbound

This paper cites DePlot: One-shot visual language reasoning by plot-to-table translation.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark DePlot: One-shot visual language reasoning by plot-to-table translation

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.624870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation daa5824b-5ab5-4d97-878e-4b0af8525f67 · outbound

This paper cites Improved baselines with visual instruction tuning.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Improved baselines with visual instruction tuning

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.628663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04b9763d-f4c4-478f-ac6e-c34945a1b47d · outbound

This paper cites Visual instruction tuning.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Visual instruction tuning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.632519Z

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Unavailable: canonical work link unavailable.

Observation ce440d86-6ee9-4f15-97b2-1810d10d93d5 · outbound

This paper cites DeepSeek-VL: Towards Real-World Vision-Language Understanding.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark DeepSeek-VL: Towards Real-World Vision-Language Understanding

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.636335Z

Source-reported events for the cited work

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Observation e97a3218-0411-4795-aad3-91cb949c7922 · outbound

This paper cites Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.640626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc3a9eec-b736-468a-85df-6558e857ae3c · outbound

This paper cites Mathvista: Evaluating mathemat- ical reasoning of foundation models in visual contexts.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Mathvista: Evaluating mathemat- ical reasoning of foundation models in visual contexts

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.644283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d223824-231b-4af4-bcb2-f15754cbcf7a · outbound

This paper cites Learn to explain: Multimodal reasoning via thought chains for science question answering.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Learn to explain: Multimodal reasoning via thought chains for science question answering

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.651901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9efa7098-8324-4f19-8bd5-3dee3d45a696 · outbound

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

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Ok-vqa: A visual question answering benchmark requiring external knowledge

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.655598Z

Source-reported events for the cited work

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Observation ec75f540-35fc-460b-8cd3-8424254bb626 · outbound

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

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.659238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb9c855c-498c-4feb-81e7-5ce5e028ed8f · outbound

This paper cites Plotqa: Reasoning over scientific plots.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Plotqa: Reasoning over scientific plots

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.663104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20217427-0147-4b64-8e23-c4a60a556ade · outbound

This paper cites Hello gpt-4o.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Hello gpt-4o

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.666668Z

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Observation 5cea753d-68a1-4577-9f8e-c96e07628b5f · outbound

This paper cites Introducing chatgpt pro.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Introducing chatgpt pro

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.670172Z

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Observation 406c6e8e-e7bb-4e91-b9d8-cc0ef78359ca · outbound

This paper cites Learning to reason with llms.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Learning to reason with llms

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.673685Z

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Unavailable: canonical work link unavailable.

Observation 260d2619-6031-4d65-a215-074bc253c68f · outbound

This paper cites Learn ap physics.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Learn ap physics

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.677273Z

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Unavailable: canonical work link unavailable.

Observation 9f10e2cc-25ac-4f8e-82d7-59cb9e5225fd · outbound

This paper cites Qwq: Reflect deeply on the boundaries of the unknown.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Qwq: Reflect deeply on the boundaries of the unknown

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.681278Z

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Observation 643d4f34-7607-4387-9370-3be0e6c30dc3 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Learning transferable visual models from natural language supervi- sion

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:19:01.021412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 903bcecf-2a35-461b-9a52-c0224d9c6cbc · outbound

This paper cites Does Spatial Cognition Emerge in Frontier Models?.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Does Spatial Cognition Emerge in Frontier Models?

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.688926Z

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Observation eb48029e-d953-4e6d-b4b0-47d3b7d202d0 · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.693064Z

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Observation 9eb40ce7-f312-43a6-8f5a-56d6f48d77ac · outbound

This paper cites Visual CoT: Advancing Multi-Modal Language Models with a Comprehensive Dataset and Benchmark for Chain-of-Thought Reasoning.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Visual CoT: Advancing Multi-Modal Language Models with a Comprehensive Dataset and Benchmark for Chain-of-Thought Reasoning

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.697183Z

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Observation b926b98a-5a2b-4ad1-98e8-d7d6a8e3d96d · outbound

This paper cites ChartMimic: Evaluating LMM's Cross-Modal Reasoning Capability via Chart-to-Code Generation.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark ChartMimic: Evaluating LMM's Cross-Modal Reasoning Capability via Chart-to-Code Generation

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.701191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04b26edc-cc0b-4a97-b13d-af27afa29223 · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.705164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b047635-622b-480c-85a1-ddcbde21afd7 · outbound

This paper cites Varco arena: A tourna- ment approach to reference-free benchmarking large lan- guage models.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Varco arena: A tourna- ment approach to reference-free benchmarking large lan- guage models

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.709933Z

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Unavailable: canonical work link unavailable.

Observation 94cc29a8-17ae-4fe3-aa24-a73ec130fc32 · outbound

This paper cites Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.713885Z

Source-reported events for the cited work

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Observation 2c19a6f9-f116-45e4-8275-9764fc426a7e · outbound

This paper cites Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.717663Z

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Observation b4744dfb-bc4e-42a2-b3d7-be7e0870efb7 · outbound

This paper cites LXMERT: Learning Cross-Modality Encoder Representations from Transformers.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark LXMERT: Learning Cross-Modality Encoder Representations from Transformers

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.721749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51e65c02-b20e-49d0-9a19-59aa7d024572 · outbound

This paper cites Gemini 1.5: Unlocking multimodal under- standing across millions of tokens of context (2024).

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Gemini 1.5: Unlocking multimodal under- standing across millions of tokens of context (2024)

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:19:01.008628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0742aa80-6b3c-48fa-9ec1-b196452cf0a0 · outbound

This paper cites Examples.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Examples

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:19:00.995760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7b9733a9-9b99-4fa3-a9df-25512b5dd4e2 · outbound

This paper cites Internvl2: Better than the best— expanding performance boundaries of open-source multi- modal models with the progressive scaling strategy.https: / / internvl.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Internvl2: Better than the best— expanding performance boundaries of open-source multi- modal models with the progressive scaling strategy.https: / / internvl

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:19:00.983841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9f07bf62-9d4d-4e98-af49-6325d5bfaeca · outbound

This paper cites Measuring multimodal mathemat- ical reasoning with math-vision dataset, 2024.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Measuring multimodal mathemat- ical reasoning with math-vision dataset, 2024

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:19:00.971755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c83163f6-0433-432a-9d37-7562fef9ad19 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.739996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98b439a5-bac1-4166-a0b1-2a79c2f0b81f · outbound

This paper cites CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.744440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39202520-efa4-4ef1-9b55-5da3841ac2b5 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large lan- guage models.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Chain-of-thought prompting elicits reasoning in large lan- guage models

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:19:00.959274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b025c019-e937-47db-9e0d-03731ffd5513 · outbound

This paper cites an unresolved cited work.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Unresolved cited work

Reference 74

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:19:00.945479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a7ce70ec-02bc-4ff6-ac9a-b52d084494e3 · outbound

This paper cites Plot2Code: A Comprehensive Benchmark for Evaluating Multi-modal Large Language Models in Code Generation from Scientific Plots.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Plot2Code: A Comprehensive Benchmark for Evaluating Multi-modal Large Language Models in Code Generation from Scientific Plots

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.757393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe070716-1d2f-428c-ab00-7e1f46e5e61c · outbound

This paper cites ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.761214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65e9244b-fc31-4104-852f-30695a3c8420 · outbound

This paper cites Qwen2 Technical Report.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Qwen2 Technical Report

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.764946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a458036-67c4-4727-8596-ce5c897211f8 · outbound

This paper cites Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.768750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8ed0517-b6c4-4619-9233-68357788667e · outbound

This paper cites Jimenez, Alex L.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Jimenez, Alex L

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:19:00.931775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 94ee971f-2195-4d7b-ab91-d332cb320c83 · outbound

This paper cites MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.777581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b32eabd4-57fd-4a1c-b012-c4c8e58938bc · outbound

This paper cites CoCa: Contrastive Captioners are Image-Text Foundation Models.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark CoCa: Contrastive Captioners are Image-Text Foundation Models

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.781245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 345be9ac-78c1-4c1e-bf27-b86c6d76d8bb · outbound

This paper cites MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.784989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21804f5c-f753-458e-b07a-f607a8c784c3 · outbound

This paper cites Mmmu: A massive multi-discipline multimodal understand- ing and reasoning benchmark for expert agi.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Mmmu: A massive multi-discipline multimodal understand- ing and reasoning benchmark for expert agi

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:19:00.919728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5d3f8ba1-f2c9-474f-8a80-b20c75bdf66b · outbound

This paper cites MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.792127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 050afd63-1e9e-4872-8d22-36f4c4c66b20 · outbound

This paper cites Raven: A dataset for relational and analogical vi- sual reasoning.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Raven: A dataset for relational and analogical vi- sual reasoning

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:19:00.903148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d12b1bc9-7eb0-4ade-8d4d-52a7cb3fb672 · outbound

This paper cites Vinvl: Revisiting visual representations in vision-language models.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Vinvl: Revisiting visual representations in vision-language models

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.799484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aaae7146-96f1-443b-828f-a01d8c631281 · outbound

This paper cites MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.802975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d463a017-94cf-4691-95b5-a2027b7c85b5 · outbound

This paper cites Is gpt-4v (ision) all you need for automating academic data vi- sualization? exploring vision-language models’ capability in reproducing academic charts.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Is gpt-4v (ision) all you need for automating academic data vi- sualization? exploring vision-language models’ capability in reproducing academic charts

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:19:00.884684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2711860d-6858-42ec-ad0a-3ce0d9c7f0ce · outbound

This paper cites Multimodal Chain-of-Thought Reasoning in Language Models.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Multimodal Chain-of-Thought Reasoning in Language Models

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.810896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a51f4df2-e185-40cc-9410-f8be7f4d02ca · outbound

This paper cites Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.815179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f90a52ac-5fe9-401d-a65e-16d176c36b0c · outbound

This paper cites Image-of-Thought Prompting for Visual Reasoning Refinement in Multimodal Large Language Models.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Image-of-Thought Prompting for Visual Reasoning Refinement in Multimodal Large Language Models

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.819521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97664272-fe20-429a-9cd6-eca10c4c8298 · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 92

Resolution: malformed identifier; no resolver link, observed 2026-08-10T21:18:59.823334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65fa8981-6ffa-48d0-b0ff-1855e2056abc · outbound

This paper cites an unresolved cited work.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Unresolved cited work

Reference 94

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:19:00.872262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3fc875dd-3c52-4489-a6b8-215e1f8df131 · outbound

This paper cites The vertical distance is 2 units up and 2 units down for each peak.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark The vertical distance is 2 units up and 2 units down for each peak

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:19:00.862054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 29f8b3f7-ddbd-4776-9343-2d4e6f03fac6 · outbound

This paper cites The vertical distance is 1.5 units up and 1.5 units down for each peak.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark The vertical distance is 1.5 units up and 1.5 units down for each peak

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:19:00.851393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d7180cf0-e327-42c9-8baa-85222805dbd3 · outbound

This paper cites Therefore, the total distance between the two points is the same for all routes.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Therefore, the total distance between the two points is the same for all routes

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:19:00.841284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5a8737b9-7df3-4bb5-9c18-f3a409915ee2 · outbound

This paper cites The second cube shows three different faces: a green triangle, a blue circle, a brown arrow.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark The second cube shows three different faces: a green triangle, a blue circle, a brown arrow

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:19:00.831711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 522282fa-f8fe-4e66-b9a3-bfb8ed61b6e4 · outbound

This paper cites On the first cube, the green triangle is adjacent to the red square and the yellow star.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark On the first cube, the green triangle is adjacent to the red square and the yellow star

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:19:00.821811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4fc386dc-f6ed-41b3-9499-db7bcc435702 · outbound

This paper cites Therefore, the face opposite the green triangle must be the kangaroo (which is not shown in <image2> but is given in <image1>).

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Therefore, the face opposite the green triangle must be the kangaroo (which is not shown in <image2> but is given in <image1>)

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:19:00.811916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2b062b73-8c22-44b2-bf54-ef27eeab1d6e · outbound

This paper cites The face opposite the kangaroo must be the green triangle.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark The face opposite the kangaroo must be the green triangle

Reference 101

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:19:00.801556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e7ea0d9e-c8ac-4e9f-9377-c2cdd81f6daf · outbound

This paper cites Final Answer: \boxed{B} Figure 17.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Final Answer: \boxed{B} Figure 17

Reference 102

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:19:00.791134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation 59217165-9cd2-4838-ace1-1f645cccb2b2 · inbound

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning cites this paper.

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:32:32.840359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bea1f8ac-2ae8-4271-97b5-1c28b2ddafb2 · inbound

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models cites this paper.

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 241

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T08:40:41.471398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fc20a570-a8c1-499f-a529-97c46d9fcd85 · inbound

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

Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 167

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T17:18:53.278400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a431e228-57cb-4df6-a848-fcc25fc8e8f5 · inbound

OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles cites this paper.

OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T06:59:03.400181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6de50937-63e5-4a52-8c9a-237f56fc1afa · inbound

Learning to Reason under Off-Policy Guidance cites this paper.

Learning to Reason under Off-Policy Guidance Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 56

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T23:17:02.892270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4e8e5026-c49a-4518-9216-5cdfe46d6385 · inbound

VisuLogic: A Benchmark for Evaluating Visual Reasoning in Multi-modal Large Language Models cites this paper.

VisuLogic: A Benchmark for Evaluating Visual Reasoning in Multi-modal Large Language Models Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:47.134304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cf6e07d-d06f-4b29-88ea-c79f4e77bcec · inbound

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 Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T05:12:18.221320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df00b970-8667-45ef-b1e6-a5e22a608ddf · inbound

SurveillanceVQA-589K: A Benchmark for Comprehensive Surveillance Video-Language Understanding with Large Models cites this paper.

SurveillanceVQA-589K: A Benchmark for Comprehensive Surveillance Video-Language Understanding with Large Models Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T20:35:54.408983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca4d68d7-8604-484e-b562-19be0e03b0cf · inbound

Towards Spoken Mathematical Reasoning: Benchmarking Speech-based Models over Multi-faceted Math Problems cites this paper.

Towards Spoken Mathematical Reasoning: Benchmarking Speech-based Models over Multi-faceted Math Problems Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T15:29:06.836442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cafd74e-8f58-4fde-a158-02ea21ec09c9 · inbound

lmgame-Bench: How Good are LLMs at Playing Games? cites this paper.

lmgame-Bench: How Good are LLMs at Playing Games? Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T15:26:59.566161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3269c397-9cf3-456c-a0c7-69b46502952b · inbound

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? cites this paper.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T15:14:56.253584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13c6dd49-fa38-4685-86aa-7bee9f02578a · inbound

FullFront: Benchmarking MLLMs Across the Full Front-End Engineering Workflow cites this paper.

FullFront: Benchmarking MLLMs Across the Full Front-End Engineering Workflow Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:51:16.478809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e892892b-c10d-45a6-8065-9432d3feab2f · 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 Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T14:31:14.468895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82ab3d3d-13f9-4382-8cf0-d5cfdb58dcb1 · inbound

Unveiling the Compositional Ability Gap in Vision-Language Reasoning Model cites this paper.

Unveiling the Compositional Ability Gap in Vision-Language Reasoning Model Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:02.650097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0af8138d-b50b-4120-96ae-298ddf751c9a · inbound

Point-RFT: Improving Multimodal Reasoning with Visually Grounded Reinforcement Finetuning cites this paper.

Point-RFT: Improving Multimodal Reasoning with Visually Grounded Reinforcement Finetuning Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T14:12:03.859705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 060b87ff-030b-457b-bbd4-e859554de971 · inbound

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

MME-Reasoning: A Comprehensive Benchmark for Logical Reasoning in MLLMs Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T13:35:57.253578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df31dd7b-4de3-468f-8f15-7c3087c86cca · inbound

CSVQA: A Chinese Multimodal Benchmark for Evaluating STEM Reasoning Capabilities of VLMs cites this paper.

CSVQA: A Chinese Multimodal Benchmark for Evaluating STEM Reasoning Capabilities of VLMs Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T12:41:01.334554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5964cce-ce42-4bca-9940-f8b194a075a7 · 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 Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T12:36:21.244871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58541b15-d921-4064-b89d-6dee79b1e6b8 · 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 Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T05:25:30.367946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c27708dd-cd6c-4f19-9f5c-898587f63c4b · inbound

Wait, We Don't Need to "Wait"! Removing Thinking Tokens Improves Reasoning Efficiency cites this paper.

Wait, We Don't Need to "Wait"! Removing Thinking Tokens Improves Reasoning Efficiency Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T05:19:16.540534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9024f7a6-09d5-44b8-a2c3-b8d1e33ac7af · inbound

ViCrit: A Verifiable Reinforcement Learning Proxy Task for Visual Perception in VLMs cites this paper.

ViCrit: A Verifiable Reinforcement Learning Proxy Task for Visual Perception in VLMs Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T04:40:08.211304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55df135a-9ca6-4fe7-ad75-4bb19f440d8c · inbound

MARBLE: A Hard Benchmark for Multimodal Spatial Reasoning and Planning cites this paper.

MARBLE: A Hard Benchmark for Multimodal Spatial Reasoning and Planning Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T21:58:34.684819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d4fe260-a268-459c-bf38-30fcf3dd1d80 · inbound

CaughtCheating: Is Your MLLM a Good Cheating Detective? Exploring the Boundary of Visual Perception and Reasoning cites this paper.

CaughtCheating: Is Your MLLM a Good Cheating Detective? Exploring the Boundary of Visual Perception and Reasoning Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T18:39:18.674276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1c9e39c-da3b-451e-b3c2-7c06538b096d · inbound

Skywork-R1V3 Technical Report cites this paper.

Skywork-R1V3 Technical Report Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T19:14:03.335779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7ae7c65-1c24-4eef-8281-58c46bfdc0d1 · inbound

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning cites this paper.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T11:35:11.882839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d5b0801-966a-45f1-9e27-1ecb18d0c745 · inbound

SEAM: Semantically Equivalent Across Modalities Benchmark for Vision-Language Models cites this paper.

SEAM: Semantically Equivalent Across Modalities Benchmark for Vision-Language Models Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-05T16:32:42.934041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f86f6a0d-31ae-4ba1-9bb2-869119a11ede · inbound

KRETA: A Benchmark for Korean Reading and Reasoning in Text-Rich VQA Attuned to Diverse Visual Contexts cites this paper.

KRETA: A Benchmark for Korean Reading and Reasoning in Text-Rich VQA Attuned to Diverse Visual Contexts Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T15:23:52.822183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa570e30-2544-4fe1-8f67-24262a221426 · inbound

LLaVA-Critic-R1: Your Critic Model is Secretly a Strong Policy Model cites this paper.

LLaVA-Critic-R1: Your Critic Model is Secretly a Strong Policy Model Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T13:24:39.653975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c66eeefd-99ec-410e-8435-a40e3634a2e5 · inbound

MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training Recipe cites this paper.

MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training Recipe Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 53

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T17:07:27.398933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ddc2eb4c-96b9-4766-992b-70958a3ee1c7 · inbound

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials cites this paper.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T15:49:56.977544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5e52865-c1e2-4a43-b5f1-2576227b5ab7 · 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 Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T18:00:26.874973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation aa028a27-b5f1-47b4-99c1-6f0219a0a6b1 · inbound

MentisOculi: Revealing the Limits of Reasoning with Mental Imagery cites this paper.

MentisOculi: Revealing the Limits of Reasoning with Mental Imagery Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T05:23:33.121778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8dcbd05-29aa-456e-a0fa-05bb7fc6ef92 · inbound

SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy cites this paper.

SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T20:36:04.457394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 314fcb5f-e6d6-4dd8-9e5f-f82c27d3b6bf · inbound

Seed1.8 Model Card: Towards Generalized Real-World Agency cites this paper.

Seed1.8 Model Card: Towards Generalized Real-World Agency Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T07:45:14.287576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fabe2c58-eaca-4c41-9005-42d8daed444e · inbound

Dual-Cluster Memory Agent: Resolving Multi-Paradigm Ambiguity in Optimization Problem Solving cites this paper.

Dual-Cluster Memory Agent: Resolving Multi-Paradigm Ambiguity in Optimization Problem Solving Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 84

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T13:46:04.311521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3325c29f-6bc7-4f06-b15b-841b61ccdeb9 · inbound

OptiVerse: A Comprehensive Benchmark towards Optimization Problem Solving cites this paper.

OptiVerse: A Comprehensive Benchmark towards Optimization Problem Solving Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 100

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T14:21:03.874703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 67764f88-0862-4b1c-9f4a-002e83632f6b · inbound

Reflection Anchors for Propagation-Aware Visual Retention in Long-Chain Multimodal Reasoning cites this paper.

Reflection Anchors for Propagation-Aware Visual Retention in Long-Chain Multimodal Reasoning Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 41

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T07:41:27.517349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation edaac7b9-5988-4235-82c7-2e1c8513f50e · inbound

Bad Seeing or Bad Thinking? Rewarding Perception for Multimodal Reasoning cites this paper.

Bad Seeing or Bad Thinking? Rewarding Perception for Multimodal Reasoning Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 94

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T05:15:02.884007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation eb529714-10e1-4e6b-88ff-28e8a71ad0a3 · inbound

Reversing the Flow: Generation-to-Understanding Synergy in Large Multimodal Models cites this paper.

Reversing the Flow: Generation-to-Understanding Synergy in Large Multimodal Models Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T18:48:53.490345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7e1c70c0-7481-4bd7-af97-e107c43eae73 · inbound

AnE: Pushing the Reasoning Frontier of Multimodal LLMs via Anchor Evolution cites this paper.

AnE: Pushing the Reasoning Frontier of Multimodal LLMs via Anchor Evolution Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 52

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T00:14:04.635099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 41f675df-f331-4c6b-9d3f-3dd540b15384 · 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 Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-02T15:57:06.715624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 01469653-fd64-47f6-bc32-e6f8c0ffde20 · inbound

From Hallucination to Grounding: Diagnosing Visual Spatial Intelligence via CRISP cites this paper.

From Hallucination to Grounding: Diagnosing Visual Spatial Intelligence via CRISP Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T13:09:50.235779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dcc576b0-35a1-4d70-8ba8-bdb99db859d1 · inbound

Seed2.0 Model Card: Towards Intelligence Frontier for Real-World Complexity cites this paper.

Seed2.0 Model Card: Towards Intelligence Frontier for Real-World Complexity Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 50

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T19:07:17.410212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1ad6a5de-5851-4a93-8ca7-e9b1d05f83b4 · inbound

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

ProLaViT: Learning Progressive Latent Visual Thoughts in Structured Latent Space Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 11

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 e6992855-794e-4037-b7d3-00ab9c601dcb · inbound

PerceptionBench: Evaluating Atomic Visual Perception in Multimodal Large Language Models cites this paper.

PerceptionBench: Evaluating Atomic Visual Perception in Multimodal Large Language Models Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-31T05:01:28.384980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.