Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-22T22:55:34.238427Z
Paper Citation Record · LEDGER
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems
As of 9 August 2026, this Paper Citation Record lists 87 of 87 outbound references and 2 inbound Pith citation observations for arXiv:2503.16549.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T11:35:11.054606Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-05-21T03:59:32.569214Z
Reference resolution
87 of 87 outbound references displayed
- verified exact57
- verified fuzzy26
- unresolved3
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 04501110-030e-4523-9fd0-d0f864796504 · outbound
This paper cites Large Language Models for Mathematical Reasoning: Progresses and Challenges.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Large Language Models for Mathematical Reasoning: Progresses and Challenges
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T22:57:13.238711Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 24454fa3-28b7-4e22-a743-9e0a15153595 · outbound
This paper cites Flamingo: a visual language model for few-shot learning.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Flamingo: a visual language model for few-shot learning
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T23:05:13.447791Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9e71a179-99aa-45f8-bb47-f95c1848d0d4 · outbound
This paper cites MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T22:57:13.264688Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0d9505a7-c0c7-4ba9-8334-8e1486b8859b · outbound
This paper cites claude-3-5-sonnet system card.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems claude-3-5-sonnet system card
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T23:05:13.443623Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e9519fc9-88b2-43eb-8f6a-2b878ab7c3df · outbound
This paper cites OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T22:57:13.197468Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7009e30f-49da-4d4e-a2d4-a22d8d4079d6 · outbound
This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T22:57:13.453545Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 03c39a17-27a9-4311-a54f-8d44f374faa0 · outbound
This paper cites GeoGPT4V: Towards Geometric Multi-modal Large Language Models with Geometric Image Generation.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems GeoGPT4V: Towards Geometric Multi-modal Large Language Models with Geometric Image Generation
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T22:57:13.308859Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation edecfd91-e333-4d89-8e3a-823e99214da9 · outbound
This paper cites GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T22:57:13.333835Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 958a06aa-5eac-40c1-b422-08e0704bcbb8 · outbound
This paper cites UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical Expression.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical Expression
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T22:57:13.384774Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1a589b01-292c-4f07-b5b9-194f7c31631b · outbound
This paper cites MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T22:57:13.255084Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 101e658f-1122-454c-a2f4-97e80169752f · outbound
This paper cites ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T22:57:13.250204Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f62fed40-d4c2-4ab0-b2b4-19a60f7d09ad · outbound
This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T22:57:13.284486Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 76dcd97c-662f-43b9-8443-17c1c8a9dfd1 · outbound
This paper cites How to learn and teach economics with large language models, including gpt.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems How to learn and teach economics with large language models, including gpt
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T23:02:15.027678Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 666358af-d8f0-470e-a00c-ddd2b4d935e0 · outbound
This paper cites InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T22:57:13.438220Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e821c89d-c5c1-40c7-a44d-166aaebf846b · outbound
This paper cites Visual Reasoning and Multi-Agent Approach in Multimodal Large Language Models (MLLMs): Solving TSP and mTSP Combinatorial Challenges.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Visual Reasoning and Multi-Agent Approach in Multimodal Large Language Models (MLLMs): Solving TSP and mTSP Combinatorial Challenges
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T22:57:13.269849Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6b106ad4-c64b-478d-99dc-7a4f7807da6d · outbound
This paper cites More than meets the ai: Evaluating the performance of gpt-4 on computer graphics assessment questions.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems More than meets the ai: Evaluating the performance of gpt-4 on computer graphics assessment questions
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T23:02:15.031147Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5beb0256-b81c-4dd1-a262-fdf3bb558d0c · outbound
This paper cites Gpt-3: Its nature, scope, limits, and consequences.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Gpt-3: Its nature, scope, limits, and consequences
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T23:02:15.021166Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 3b65c672-6fc4-44b1-897d-cabe73e982c0 · outbound
This paper cites Mathematical capabilities of chatgpt.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Mathematical capabilities of chatgpt
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T23:02:15.017334Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b94038d3-60fe-489f-aee2-ede6b1573753 · outbound
This paper cites Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T22:57:13.232377Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 253e581e-4786-46fb-aa88-3ec223495e9e · outbound
This paper cites G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T22:57:13.389593Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 841b6d2a-3a4f-4594-a8fe-40209c44ddf4 · outbound
This paper cites LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T22:57:13.365913Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 617b104a-6ce5-43d2-8271-dfbca4478006 · outbound
This paper cites SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T22:57:13.216249Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 11f8cdf8-21c4-44ef-a526-4bca0cf0b6f6 · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T22:57:13.221779Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8be1a0c6-faaa-4be6-b6ad-8275bbed4d26 · outbound
This paper cites InfiMM-WebMath-40B: Advancing Multimodal Pre-Training for Enhanced Mathematical Reasoning.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems InfiMM-WebMath-40B: Advancing Multimodal Pre-Training for Enhanced Mathematical Reasoning
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T22:57:13.259701Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5d4e6951-ed24-4fe8-a64a-a4946b80b801 · outbound
This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Measuring Mathematical Problem Solving With the MATH Dataset
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T22:57:13.328300Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 20ad89a6-851d-4711-ab21-82ed2f9cb8ca · outbound
This paper cites Mixtral of Experts.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Mixtral of Experts
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T22:57:13.226815Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 649cbef0-2575-4360-b60e-ad649d947c14 · outbound
This paper cites Problem representation and mathemati- cal problem solving of students of varying math ability.Jour- nal of Learning Disabilities, 47(2):103–115.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Problem representation and mathemati- cal problem solving of students of varying math ability.Jour- nal of Learning Disabilities, 47(2):103–115
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T23:02:15.024355Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 645b6db1-06f6-4b96-bc07-10b25774227d · outbound
This paper cites Solving quantitative reasoning problems with language mod- els.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Solving quantitative reasoning problems with language mod- els
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T23:02:15.034262Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 48c9f822-5b7a-424a-abc2-5f57f3713a57 · outbound
This paper cites LLaVA-OneVision: Easy Visual Task Transfer.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems LLaVA-OneVision: Easy Visual Task Transfer
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T22:57:13.169735Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 00cbfc93-433b-4d54-8a6d-d9dc03f3d662 · outbound
This paper cites LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models
Reference 31
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T22:57:13.351076Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b02691ae-ce58-4bcf-88d0-2295120c2b83 · outbound
This paper cites Eagle: Elevating geo- metric reasoning through llm-empowered visual instruction tuning.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Eagle: Elevating geo- metric reasoning through llm-empowered visual instruction tuning
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T22:57:13.294811Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 67859e14-02a6-4fcb-ac4f-403d97ff13b1 · outbound
This paper cites Let's Verify Step by Step.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Let's Verify Step by Step
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T22:57:13.164193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 07e4644e-0b01-410d-a617-a5eafc71c9c7 · outbound
This paper cites SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T22:57:13.181430Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 3c6e30a7-843a-41eb-9e8f-bf1a9f6237b2 · outbound
This paper cites DeepSeek-V3 Technical Report.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems DeepSeek-V3 Technical Report
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T22:57:13.344052Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation df01849b-d623-4067-ad1b-7c9a133bf757 · outbound
This paper cites Visual instruction tuning.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Visual instruction tuning
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T23:05:13.427588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d02a36cf-61f9-4022-be44-d6e2618d4d31 · outbound
This paper cites MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics Benchmark.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics Benchmark
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T22:57:13.405426Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2cb1a9cd-bd36-4638-80a9-bc25a48f0ba5 · outbound
This paper cites CMM-Math: A Chinese Multimodal Math Dataset To Evaluate and Enhance the Mathematics Reasoning of Large Multimodal Models.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems CMM-Math: A Chinese Multimodal Math Dataset To Evaluate and Enhance the Mathematics Reasoning of Large Multimodal Models
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T22:57:13.323229Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ea0af88a-3240-4dc3-9ac0-0d8e3af11c9b · outbound
This paper cites FineMath: A Fine-Grained Mathematical Evaluation Benchmark for Chinese Large Language Models.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems FineMath: A Fine-Grained Mathematical Evaluation Benchmark for Chinese Large Language Models
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T22:57:13.415550Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 899ea283-a9ca-4292-a6a7-30c171db948d · outbound
This paper cites MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts
Reference 40
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T22:57:13.210289Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2dbfda87-5ada-43b0-b016-f330e43efcc1 · outbound
This paper cites Visaidmath: Benchmark- ing visual-aided mathematical reasoning.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Visaidmath: Benchmark- ing visual-aided mathematical reasoning
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T22:57:13.443783Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 502e5714-ceaf-4499-98c6-5c8728513cf7 · outbound
This paper cites Language Models are Few-Shot Learners.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Language Models are Few-Shot Learners
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T22:57:13.317759Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a8990542-d699-4421-b9b7-f6c1017d9d10 · outbound
This paper cites A Comprehensive Overview of Large Language Models.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems A Comprehensive Overview of Large Language Models
Reference 43
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T22:57:13.159208Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e964e3ff-d2c8-4a7a-b485-52f9df544395 · outbound
This paper cites an unresolved cited work.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Unresolved cited work
Reference 44
- Resolution
- unresolved
- raw_fallback, observed 2026-05-22T23:02:15.013858Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0038f054-fb34-45fe-9d3e-9b50d6e21352 · outbound
This paper cites Introducing openai o1.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Introducing openai o1
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T23:05:13.440662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e2618233-38b4-4096-a801-39d6e6c98b85 · outbound
This paper cites GPT-4V(ision) system card.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems GPT-4V(ision) system card
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T23:05:13.451326Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e0ddd60c-adc0-46a0-9bef-a7b03df183f6 · outbound
This paper cites GPT-4o system card.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems GPT-4o system card
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T23:05:13.432249Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ea233217-f758-47e4-bbc8-dd1c6460ab83 · outbound
This paper cites MultiMath: Bridging Visual and Mathematical Reasoning for Large Language Models.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems MultiMath: Bridging Visual and Mathematical Reasoning for Large Language Models
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T22:57:13.154849Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 771a2a44-cc22-4aa9-841c-12f88370d63c · outbound
This paper cites How to solve it: A new aspect of mathematical method.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems How to solve it: A new aspect of mathematical method
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T23:02:15.008308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation abda7305-b763-4260-b1f5-38fed4d47d6f · outbound
This paper cites We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?
Reference 50
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T22:57:13.244265Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation efc1cea2-a6e2-4542-b4c3-34958de584aa · outbound
This paper cites Learning transferable visual models from natural language supervi- sion.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Learning transferable visual models from natural language supervi- sion
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T23:02:14.999179Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2d172e97-d16d-4b23-96e8-07f47b5f7817 · outbound
This paper cites Vision language models are blind: Failing to translate detailed visual features into words.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Vision language models are blind: Failing to translate detailed visual features into words
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T22:57:13.399915Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation dcf95ff7-0f6f-4892-8ec6-1bf745e16e25 · outbound
This paper cites Towards robust automated math problem solving: a survey of statistical and deep learning approaches.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Towards robust automated math problem solving: a survey of statistical and deep learning approaches
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T23:02:15.002309Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c0d517e4-b3ce-43b2-9560-976539398912 · outbound
This paper cites Can llms master math? investigating large language models on math stack exchange.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Can llms master math? investigating large language models on math stack exchange
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T23:02:14.992576Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 3484211c-d36e-4050-8f77-bc2bfc7abc99 · outbound
This paper cites P ´olya, problem solving, and education.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems P ´olya, problem solving, and education
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T23:02:14.995980Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4dd46c39-1c70-4bb8-91aa-3eb038061bd3 · outbound
This paper cites Survey of different large language model archi- tectures: Trends, benchmarks, and challenges.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Survey of different large language model archi- tectures: Trends, benchmarks, and challenges
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T23:02:15.005188Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 10819048-7ea7-4f15-897d-3795753cc035 · outbound
This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 57
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T22:57:13.448987Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 864f180e-87f7-4e60-b190-e2b7b432ba0a · outbound
This paper cites Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models
Reference 58
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T22:57:13.279934Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 72f2cf82-7060-408f-a761-ba4b8b99a23b · outbound
This paper cites Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data
Reference 59
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T22:57:13.274854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c0c156ee-be45-42ef-adf0-57421c45304e · outbound
This paper cites Gemini: A Family of Highly Capable Multimodal Models.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Gemini: A Family of Highly Capable Multimodal Models
Reference 60
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T22:57:13.433332Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2a55ad6a-fe36-4c88-b4a2-bb2cc3c0aafe · outbound
This paper cites Qwen2.5-llm: Extending the boundary of llms.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Qwen2.5-llm: Extending the boundary of llms
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T23:02:15.010912Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 3f9ac620-acb8-4629-87de-33037e701905 · outbound
This paper cites LLaMA: Open and Efficient Foundation Language Models.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems LLaMA: Open and Efficient Foundation Language Models
Reference 62
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T22:57:13.304188Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 131550f8-80e7-4372-89ce-17d76c15f2b2 · outbound
This paper cites Examining the potential and pitfalls of chatgpt in science and engineering problem-solving.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Examining the potential and pitfalls of chatgpt in science and engineering problem-solving
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T23:02:14.985873Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8d5abcb0-ffe8-4908-bcae-5337273cecc4 · outbound
This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
Reference 64
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T22:57:13.192257Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e7c99b5f-2b23-4896-81d2-441100c7da1e · outbound
This paper cites Exploring the Reasoning Abilities of Multimodal Large Language Models (MLLMs): A Comprehensive Survey on Emerging Trends in Multimodal Reasoning.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Exploring the Reasoning Abilities of Multimodal Large Language Models (MLLMs): A Comprehensive Survey on Emerging Trends in Multimodal Reasoning
Reference 65
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T22:57:13.410915Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a1faefd3-5a9d-4ca9-9eff-a40f8258ebac · outbound
This paper cites MathPile: A Billion-Token-Scale Pretraining Corpus for Math.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems MathPile: A Billion-Token-Scale Pretraining Corpus for Math
Reference 66
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T22:57:13.299730Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7c38f806-6157-4fa4-b90f-62a288c5c96b · outbound
This paper cites Chain-of-thought prompting elicits reasoning in large lan- guage models.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Chain-of-thought prompting elicits reasoning in large lan- guage models
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T23:02:14.989182Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1fa9af09-afa2-4139-9d61-59beb236a991 · outbound
This paper cites Chain-of-Though (CoT) prompting strategies for medical error detection and correction.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Chain-of-Though (CoT) prompting strategies for medical error detection and correction
Reference 68
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T22:57:13.370733Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9a53318a-f90d-49de-a9c0-93259932cfa7 · outbound
This paper cites LLaVA-CoT: Let Vision Language Models Reason Step-by-Step.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems LLaVA-CoT: Let Vision Language Models Reason Step-by-Step
Reference 69
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T22:57:13.186674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5f3ec338-22a4-4ffd-bcf8-46b8987b8668 · outbound
This paper cites Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities
Reference 70
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T22:57:13.339111Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c41276d3-d9c0-47da-ab97-b5317775f06d · outbound
This paper cites MathGLM-Vision: Solving Mathematical Problems with Multi-Modal Large Language Model.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems MathGLM-Vision: Solving Mathematical Problems with Multi-Modal Large Language Model
Reference 71
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T22:57:13.356075Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 14049134-5bc1-40c7-bb4b-bb037c4f9f60 · outbound
This paper cites Gpt (generative pre-trained transformer)–a comprehensive review on enabling technolo- gies, potential applications, emerging challenges, and future directions.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Gpt (generative pre-trained transformer)–a comprehensive review on enabling technolo- gies, potential applications, emerging challenges, and future directions
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T23:02:14.982945Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0faa816b-8785-4131-8ef0-d7e34eae2c96 · outbound
This paper cites Lamm: Language-assisted multi-modal instruction-tuning dataset, framework, and benchmark.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Lamm: Language-assisted multi-modal instruction-tuning dataset, framework, and benchmark
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T23:02:15.037827Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 763dcc2b-dcc3-40b5-913e-2eb20340430f · outbound
This paper cites MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning
Reference 74
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T22:57:13.360970Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation df7a226a-a6ab-489b-9d85-7137fe7d119e · outbound
This paper cites MARIO Eval: Evaluate Your Math LLM with your Math LLM--A mathematical dataset evaluation toolkit.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems MARIO Eval: Evaluate Your Math LLM with your Math LLM--A mathematical dataset evaluation toolkit
Reference 75
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T22:57:13.175038Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation af48fcaf-14c9-4ccc-b398-0d066deade89 · outbound
This paper cites LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning
Reference 76
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T22:57:13.313394Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4de87810-1995-48c5-8a76-778d5fc52cc9 · outbound
This paper cites MM-LLMs: Recent Advances in MultiModal Large Language Models.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems MM-LLMs: Recent Advances in MultiModal Large Language Models
Reference 77
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T22:57:13.203706Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 097a8f0a-8a30-4c14-854f-a6b279e41832 · outbound
This paper cites LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention
Reference 78
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T22:57:13.379700Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 22234b7a-00d5-4da4-85ba-ccb440c936bc · outbound
This paper cites MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?
Reference 79
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T22:57:13.149208Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c209adac-e703-4368-a0cb-5989f264fe0a · outbound
This paper cites MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine
Reference 80
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T22:57:13.394341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation fb61cb14-68b1-4c57-9533-2a7d570d6265 · outbound
This paper cites Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist
Reference 81
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T22:57:13.289581Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a64c61f0-973c-4b08-93b3-4248351923db · outbound
This paper cites Math-PUMA: Progressive Upward Multimodal Alignment to Enhance Mathematical Reasoning.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Math-PUMA: Progressive Upward Multimodal Alignment to Enhance Mathematical Reasoning
Reference 82
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T22:57:13.375512Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4d5f8327-abc2-4b51-9532-2eaaa7cae5a1 · outbound
This paper cites Solving math word problems concerning systems of equations with gpt models.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Solving math word problems concerning systems of equations with gpt models
Reference 83
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T23:02:14.976754Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6a442141-9c4f-4d95-baa6-69ceb96b16f7 · outbound
This paper cites Only Question.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Only Question
Reference 84
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T23:02:14.979532Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 12db8641-6260-48f1-ab03-5d49e3ed3877 · outbound
This paper cites an unresolved cited work.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Unresolved cited work
Reference 85
- Resolution
- unresolved
- raw_fallback, observed 2026-05-22T23:05:13.436088Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation bc958bdc-cb56-4bfd-9271-e2f4e8b9a7b7 · outbound
This paper cites CoT-E” or “Acc.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems CoT-E” or “Acc
Reference 86
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T23:05:13.439796Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f04fac25-241b-4dd3-af9f-1b4c139c1d54 · outbound
This paper cites an unresolved cited work.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Unresolved cited work
Reference 87
- Resolution
- unresolved
- raw_fallback, observed 2026-05-22T23:02:14.970385Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f22748bb-db96-4814-8d85-24c600306bc6 · outbound
This paper cites According to the given information,△ABC is congruent to△DEB.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems According to the given information,△ABC is congruent to△DEB
Reference 88
- Resolution
- malformed identifier
- raw_fallback, observed 2026-05-22T23:02:14.973522Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Pith citing papers
Observation 040fa2d6-44dc-4bbf-99c6-812fbc13ae04 · inbound
VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning cites this paper.
VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:35:11.054606Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 91f2cad3-1cc9-4475-975c-206f4330e83d · inbound
Large Language Models for Operations Research: A Comprehensive Survey cites this paper.
Large Language Models for Operations Research: A Comprehensive Survey MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems
Reference 181
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-21T03:59:32.570796Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.