Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams | Paper Citation Record

Observation d80607f7-35ea-4553-8cf2-7c4ab5546a3d · outbound

This paper cites Minimax m2.5: Built for real-world productivity.https://www.minimax.io/news/minimax-m25, 2026.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Minimax m2.5: Built for real-world productivity.https://www.minimax.io/news/minimax-m25, 2026

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:41.613592Z

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Observation e889e588-8340-4fc8-9e05-8e9c6e3bbc3e · outbound

This paper cites Kimi K2: Open Agentic Intelligence.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Kimi K2: Open Agentic Intelligence

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:39.578038Z

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Observation 91bfcf19-7a01-4139-8851-60a9ee3cd505 · outbound

This paper cites GLM-5: from Vibe Coding to Agentic Engineering.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams GLM-5: from Vibe Coding to Agentic Engineering

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:39.583631Z

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Observation 12acedfc-8068-452e-b80b-ac9bec386994 · outbound

This paper cites Gemini 3.1 pro model card.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Gemini 3.1 pro model card

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:41.597372Z

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Observation c7004987-b145-4158-b912-5a50ce6b6581 · outbound

This paper cites Qwen3.5: Towards native multimodal agents.https://qwen.ai/blog?id=qwen3.5, 2026.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Qwen3.5: Towards native multimodal agents.https://qwen.ai/blog?id=qwen3.5, 2026

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:39.593460Z

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Observation cd26eb12-d15c-4152-ac53-4e8d8059dde8 · outbound

This paper cites Gpt-5.2.https://developers.openai.com/api/docs/models/gpt-5.2, 2025.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Gpt-5.2.https://developers.openai.com/api/docs/models/gpt-5.2, 2025

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:41.571008Z

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Observation 9856a671-e963-4b42-9e19-9d23012ebb93 · outbound

This paper cites Seed2.0 model card: Towards intelligence frontier for real-world complex- ity.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Seed2.0 model card: Towards intelligence frontier for real-world complex- ity

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:41.549614Z

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Observation 78c40698-1bd6-41db-b78b-33c8028f9c99 · outbound

This paper cites Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmarkforexpertagi.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmarkforexpertagi

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:39.607763Z

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Observation 5b888be3-284f-46c1-8e9d-af6ef5501c70 · outbound

This paper cites Mmmu-pro: A more robust multi-discipline multimodal understanding benchmark.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Mmmu-pro: A more robust multi-discipline multimodal understanding benchmark

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:39.613187Z

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Observation 5aa9f8ca-72d3-4654-84f4-ce15ca2bc452 · outbound

This paper cites Descriptive caption enhancement with visual specialists for multimodal perception.arXiv preprint arXiv:2412.14233, 2024.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Descriptive caption enhancement with visual specialists for multimodal perception.arXiv preprint arXiv:2412.14233, 2024

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:39.617712Z

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Observation ecb2f190-97a0-46a3-8f44-435ee32c775f · outbound

This paper cites Agentic Learner with Grow-and-Refine Multimodal Semantic Memory.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Agentic Learner with Grow-and-Refine Multimodal Semantic Memory

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-16T00:15:40.710173Z

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Observation b766b664-20b7-482e-a68a-83ea7d9ef943 · outbound

This paper cites Prism.https://openai.com/prism/, 2026.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Prism.https://openai.com/prism/, 2026

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:41.505957Z

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Observation e55bfb18-cef8-4b81-9c04-bbb7fdc0523b · outbound

This paper cites Charxiv: Charting gaps in realistic chart understanding in multimodal llms.Advances in Neural Information Processing Systems, 37:113569–113697, 2024.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Charxiv: Charting gaps in realistic chart understanding in multimodal llms.Advances in Neural Information Processing Systems, 37:113569–113697, 2024

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:39.632360Z

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Observation 118ab233-a652-4545-8555-be97f0659bb9 · outbound

This paper cites Chartmimic: Evaluating lmm’s cross-modal reasoning capability via chart-to-code generation.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Chartmimic: Evaluating lmm’s cross-modal reasoning capability via chart-to-code generation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:41.476595Z

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Observation 78ac8ed7-1bf7-43ba-ac5b-5c66f2b7045d · outbound

This paper cites Math blind: Failures in diagram understanding undermine reasoning in mllms.arXiv preprint arXiv:2503.20745, 2025.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Math blind: Failures in diagram understanding undermine reasoning in mllms.arXiv preprint arXiv:2503.20745, 2025

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:39.642020Z

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Observation 9eb404f1-e478-449d-b532-b51214b80c19 · outbound

This paper cites VisCodex: Unified Multimodal Code Generation via Merging Vision and Coding Models.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams VisCodex: Unified Multimodal Code Generation via Merging Vision and Coding Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:39.647053Z

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Observation 627f29a5-7f73-43d0-8205-cfb6ecea7a55 · outbound

This paper cites Plot2code: A comprehensive benchmark for evaluating multi-modal large language models in code generation from scientific plots.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Plot2code: A comprehensive benchmark for evaluating multi-modal large language models in code generation from scientific plots

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:39.652257Z

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Observation 9fa5a461-e2e0-4bf8-8b0d-ee536ed42420 · outbound

This paper cites Starvector: Generating scalable vector graphics code from images and text.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Starvector: Generating scalable vector graphics code from images and text

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:41.449876Z

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Observation 27bad0f8-84d5-43be-afa9-ecfbda4cc176 · outbound

This paper cites From words to structured visuals: A benchmark and framework for text-to-diagram generation and editing.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams From words to structured visuals: A benchmark and framework for text-to-diagram generation and editing

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:41.431886Z

Source-reported events for the cited work

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Observation 68919055-2d57-4ef9-8838-19f068d8eb22 · outbound

This paper cites Automatikz: Text-guided synthesis of scientific vector graphics with tikz.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Automatikz: Text-guided synthesis of scientific vector graphics with tikz

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:41.414941Z

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Observation 4100fe42-185e-429b-b855-552e1e620ab9 · outbound

This paper cites Detikzify: Synthesizing graphics programs for scientific figures and sketches with tikz.Advances in Neural Information Processing Systems, 37:85074–85108, 2024.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Detikzify: Synthesizing graphics programs for scientific figures and sketches with tikz.Advances in Neural Information Processing Systems, 37:85074–85108, 2024

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:39.671003Z

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Observation cce8ae06-4ae5-411f-aba3-34a70f198102 · outbound

This paper cites Image2struct: Benchmarking structure extraction for vision-language models.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Image2struct: Benchmarking structure extraction for vision-language models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:39.675973Z

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Observation 44ca2d26-4614-4efb-ad72-190bf83f56a3 · outbound

This paper cites ChartE3: A comprehensive benchmark for end-to-end chart editing.arXiv preprint arXiv:2601.21694, 2026.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams ChartE3: A comprehensive benchmark for end-to-end chart editing.arXiv preprint arXiv:2601.21694, 2026

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:39.681348Z

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Observation 2f31694c-99d8-464d-b5a4-22145f7bcbeb · outbound

This paper cites Chartm3: Benchmarking chart editing with multimodal instructions.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Chartm3: Benchmarking chart editing with multimodal instructions

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:41.377034Z

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Observation 47799ae1-3538-45ca-8b4d-ee50c50b55ac · outbound

This paper cites Chartqa: A benchmark for question answering about charts with visual and logical reasoning.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Chartqa: A benchmark for question answering about charts with visual and logical reasoning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:39.689802Z

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Observation 906657ac-ad0e-4e3a-b50f-6e140552d99f · outbound

This paper cites Can large language models understand symbolic graphics programs? In The Thirteenth International Conference on Learning Representations, 2025.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Can large language models understand symbolic graphics programs? In The Thirteenth International Conference on Learning Representations, 2025

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:41.349677Z

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Observation 9b6e0e11-7438-48fc-8f18-ad4b916cac8b · outbound

This paper cites Model context protocol.https://modelcontextprotocol.io, 2024.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Model context protocol.https://modelcontextprotocol.io, 2024

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:41.332162Z

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Observation adb876e8-2482-442f-a300-898d1cb856da · outbound

This paper cites Mmbench: Is your multi-modal model an all-around player? InEuropean conference on computer vision, pages 216–233.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Mmbench: Is your multi-modal model an all-around player? InEuropean conference on computer vision, pages 216–233

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:39.704342Z

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Observation eb2dc289-87d9-4449-8cef-eab14477d585 · outbound

This paper cites Video-mme: The first-ever comprehensive evaluation benchmark of multi-modal llms in video analysis.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Video-mme: The first-ever comprehensive evaluation benchmark of multi-modal llms in video analysis

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:39.708688Z

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Observation 8399dc7c-3084-412c-b7c7-4320e4768359 · outbound

This paper cites Mathvista: Evaluating mathematical reasoning of foundation models in visual contexts.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Mathvista: Evaluating mathematical reasoning of foundation models in visual contexts

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:41.293156Z

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Observation a5c0f8e2-759a-4af9-af1a-73e2a615659f · outbound

This paper cites Mathverse: Does your multi-modal llm truly see the diagrams in visual math problems? In European Conference on Computer Vision, pages 169–186.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Mathverse: Does your multi-modal llm truly see the diagrams in visual math problems? In European Conference on Computer Vision, pages 169–186

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:39.718166Z

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Observation 4d76f538-3876-475b-bc53-687232117093 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4):600–612, 2004.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4):600–612, 2004

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:39.722752Z

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Observation 1535c572-450f-473c-97af-b9bd62e79a14 · outbound

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

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Learning transferable visual models from natural language supervision

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:39.727088Z

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Observation 65dece96-550a-446f-ae5f-fe13a0d2b7b6 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams The unreasonable effectiveness of deep features as a perceptual metric

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:39.731529Z

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Observation 3a486471-f273-4622-a5eb-76dc304e773c · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.Advances in neural information processing systems, 30, 2017.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Gans trained by a two time-scale update rule converge to a local nash equilibrium.Advances in neural information processing systems, 30, 2017

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:41.240667Z

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Observation 776a754c-4728-4389-b7d4-855984ac965f · outbound

This paper cites Crystalbleu: precisely and efficiently measuring the similarity of code.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Crystalbleu: precisely and efficiently measuring the similarity of code

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:41.224514Z

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Observation ec31a96c-cc8e-4bbd-9539-61214092d765 · outbound

This paper cites Worldvqa: Measuring atomic world knowledge in multimodal large language models.arXiv preprint arXiv:2602.02537, 2026.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Worldvqa: Measuring atomic world knowledge in multimodal large language models.arXiv preprint arXiv:2602.02537, 2026

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:39.744655Z

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Observation da202b6f-1da7-4c94-a320-da87c45611fe · outbound

This paper cites React: Synergizing reasoning and acting in language models.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams React: Synergizing reasoning and acting in language models

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Observation 4525b63e-b4fa-47cb-a947-b0854873df06 · outbound

This paper cites Agentic artificial intelligence (ai): Architectures, taxonomies, and evaluation of large language model agents.arXiv preprint arXiv:2601.12560, 2026.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Agentic artificial intelligence (ai): Architectures, taxonomies, and evaluation of large language model agents.arXiv preprint arXiv:2601.12560, 2026

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:39.753185Z

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Observation 20fa5bf5-9c29-4049-b57c-59e2e4c84f72 · outbound

This paper cites Ai, agentic models and lab automation for scientific discovery—the beginning of scaince.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Ai, agentic models and lab automation for scientific discovery—the beginning of scaince

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:41.199081Z

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Observation d4ae037b-4a79-4418-8c7d-1241c678c697 · outbound

This paper cites Human-Centric Foundation Models: Perception, Generation and Agentic Modeling.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Human-Centric Foundation Models: Perception, Generation and Agentic Modeling

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Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:39.761764Z

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Observation 4069ec4b-08de-4012-854e-4aafb89148dd · outbound

This paper cites BabyVision: Visual Reasoning Beyond Language.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams BabyVision: Visual Reasoning Beyond Language

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:39.766849Z

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Observation a9a7d833-6611-467c-8c93-d20e492c8cf8 · outbound

This paper cites Gemini 3 pro model card.https://storage.googleapis.com/deepmind-media/Model-Cards/ Gemini-3-Pro-Model-Card.pdf, 2025.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Gemini 3 pro model card.https://storage.googleapis.com/deepmind-media/Model-Cards/ Gemini-3-Pro-Model-Card.pdf, 2025

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:39.771870Z

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Observation c6a0900a-7ec2-4375-b360-943ad4962b8d · outbound

This paper cites Gemini 3 flash model card.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Gemini 3 flash model card

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:41.174621Z

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Observation 4bccfd46-5736-487f-be92-d87d36dd19cc · outbound

This paper cites Claude opus 4.6.https://www.anthropic.com/claude/opus, 2026.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Claude opus 4.6.https://www.anthropic.com/claude/opus, 2026

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:39.780294Z

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Observation 3d9b606d-d181-4a30-b0df-9272f2ed0628 · outbound

This paper cites Qwen3-VL Technical Report.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Qwen3-VL Technical Report

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:39.784392Z

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Observation cf2cebb7-6387-43b1-8081-714af4a02839 · outbound

This paper cites Kimi K2.5: Visual Agentic Intelligence.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Kimi K2.5: Visual Agentic Intelligence

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:39.789149Z

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Observation 2e33362e-9e4b-48eb-8d61-b0bf437a81c7 · outbound

This paper cites InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:39.793874Z

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Observation c39d21aa-0f51-4c7f-bfc8-c90ff470228d · outbound

This paper cites Tikzero: Zero-shot text-guided graphics program synthesis.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Tikzero: Zero-shot text-guided graphics program synthesis

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Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:39.798624Z

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Observation 155c6006-8bfc-41e2-9ae6-349badbec14f · outbound

This paper cites Nodes are early, edges are late: Probing diagram representations in large vision-language models.arXiv preprint arXiv:2603.02865, 2026.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Nodes are early, edges are late: Probing diagram representations in large vision-language models.arXiv preprint arXiv:2603.02865, 2026

Reference 50

Resolution: verified exact; raw_fallback, observed 2026-08-16T00:15:40.306779Z

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Observation 8e0f18f3-d8a7-4b87-be26-f209824e5eb0 · outbound

This paper cites Chain-of-region: Visual language models need details for diagram analysis.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Chain-of-region: Visual language models need details for diagram analysis

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:41.139634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 660074a6-494c-4bd1-968d-6a984aa59648 · outbound

This paper cites Challenges and feasibility of multimodal llms in er diagram evaluation.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Challenges and feasibility of multimodal llms in er diagram evaluation

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:41.122193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 70b7d244-4df9-4108-bffb-14ece897e20f · outbound

This paper cites Ontology-driven multimodal framework for automated interpretation and description of architecture diagrams.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Ontology-driven multimodal framework for automated interpretation and description of architecture diagrams

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:41.107152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 88db6299-79f1-4f58-bf9d-27f63ae6da70 · outbound

This paper cites Overcoming Vision Language Model Challenges in Diagram Understanding: A Proof-of-Concept with XML-Driven Large Language Models Solutions.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Overcoming Vision Language Model Challenges in Diagram Understanding: A Proof-of-Concept with XML-Driven Large Language Models Solutions

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-08-16T00:15:40.227093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 842428fb-922d-43a6-9f6f-4a1d1b478694 · outbound

This paper cites an unresolved cited work.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:15:41.092751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 57b5b841-6085-407c-8eca-14cd388c747f · outbound

This paper cites Editclip: Representation learning for image editing.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Editclip: Representation learning for image editing

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:41.077970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 02cd9bd1-4c4c-4816-982f-06c0f493e22a · outbound

This paper cites Sketchagent: Generating structured diagrams from hand-drawn sketches.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Sketchagent: Generating structured diagrams from hand-drawn sketches

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:41.063143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ba70587f-41a6-41ad-ad5a-cd58e09f960d · outbound

This paper cites Davinci: Reinforcing visual-structural syntax in mllms for generalized scientific diagram parsing.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Davinci: Reinforcing visual-structural syntax in mllms for generalized scientific diagram parsing

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:41.049151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 816f41ca-2524-4641-841f-d462a496e6fe · outbound

This paper cites Visual autoregressive modeling for instruction-guided image editing.arXiv preprint arXiv:2508.15772, 2025.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Visual autoregressive modeling for instruction-guided image editing.arXiv preprint arXiv:2508.15772, 2025

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:39.844759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8cc8fff-fd4d-47cd-abdd-a8552c521335 · outbound

This paper cites Vibe coding as a reconfiguration of intent mediation in software development: Definition, implications, and research agenda.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Vibe coding as a reconfiguration of intent mediation in software development: Definition, implications, and research agenda

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:41.034361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4ec62e62-c649-4504-b44f-c2a5b405cd88 · outbound

This paper cites Tikzilla: Scaling text-to-tikz with high-quality data and reinforcement learning.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Tikzilla: Scaling text-to-tikz with high-quality data and reinforcement learning

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:39.853657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b75774d-ab27-4065-b74c-870e3d6d533b · outbound

This paper cites Mathcoder-vl: Bridging vision and code for enhanced multimodal mathematical reasoning.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Mathcoder-vl: Bridging vision and code for enhanced multimodal mathematical reasoning

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:41.019326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e11b5467-029b-483b-bcc5-971a6f4f0064 · outbound

This paper cites model-in-the-loop.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams model-in-the-loop

Reference 63

Resolution: malformed identifier; raw_fallback, observed 2026-08-16T00:15:41.003991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c871679b-e92f-4098-8e8e-1cdc70596e97 · outbound

This paper cites an unresolved cited work.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:15:40.989365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 912540bd-57ad-4d46-bb88-d90ea4daf549 · outbound

This paper cites an unresolved cited work.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:15:40.973515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 02a3b5a5-cb30-47b2-ad9a-38dd27243ba2 · outbound

This paper cites an unresolved cited work.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:15:40.957877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1fb52452-e09a-4548-bb17-3c41421a66a7 · outbound

This paper cites an unresolved cited work.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Unresolved cited work

Reference 68

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:15:40.928644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bd8722c4-358d-4115-a6c0-852361b27eea · outbound

This paper cites an unresolved cited work.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Unresolved cited work

Reference 69

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:15:40.913655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 37760ecd-9207-4410-839e-a9a125c89497 · outbound

This paper cites Before writing code, analyze the image systematically.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Before writing code, analyze the image systematically

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:40.898379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 76ce98ef-fe33-4a3d-ae6f-fe8f5d555ece · outbound

This paper cites Start from\documentclassand end with\end{document}.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Start from\documentclassand end with\end{document}

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:40.883626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 758113d0-223a-490a-aa2a-39681bec1417 · outbound

This paper cites an unresolved cited work.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:15:40.943092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5899033b-ec82-440e-9fe7-e8c86d10fa08 · outbound

This paper cites an unresolved cited work.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:15:40.869294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3b372fa7-c82e-49e2-ba7d-0a5ed1ee6ba6 · outbound

This paper cites an unresolved cited work.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Unresolved cited work

Reference 74

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:15:40.853991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c043988e-5314-424b-9b7b-f0340283c63d · outbound

This paper cites an unresolved cited work.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Unresolved cited work

Reference 75

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:15:40.837530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b52d8d9b-4671-4a6a-a3f7-581f33b25906 · outbound

This paper cites addplot bar chart stacked.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams addplot bar chart stacked

Reference 76

Resolution: malformed identifier; raw_fallback, observed 2026-08-16T00:15:40.058214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers