Paper Citation Record · LEDGER

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection

As of 19 August 2026, this Paper Citation Record lists 92 of 92 outbound references and 13 inbound Pith citation observations for arXiv:2410.04509.

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

pith.paper-citation-record.v1
2410.04509 v3

Coverage vector

measured 92 of 92 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-23T20:10:59.264484Z

measured 105 of 105 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:54:23.129325Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-23T04:32:32.712337Z

Reference resolution

92 of 92 outbound references displayed

verified exact58
verified fuzzy32
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 391c2e3d-8ab0-4bb8-a7e8-0f1680031792 · outbound

This paper cites Complexity in declarative process models: Metrics and multi-modal assessment of cognitive load.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Complexity in declarative process models: Metrics and multi-modal assessment of cognitive load

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:13:25.675921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 055423cd-2fb1-4a5f-a3ed-bdbab039e4d1 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-23T20:13:24.713023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 081df14e-80ae-4bb1-ab08-30c62b6666a9 · outbound

This paper cites Scaling laws for generative mixed-modal language models.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Scaling laws for generative mixed-modal language models

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:13:25.680024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 13237bbd-396e-47ce-8b20-4238944258aa · outbound

This paper cites Large Language Models for Mathematical Reasoning: Progresses and Challenges.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Large Language Models for Mathematical Reasoning: Progresses and Challenges

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:13:24.615341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ccb84f09-1457-4698-b7fa-8999f8a525ca · outbound

This paper cites Claude 3, 2024 a.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Claude 3, 2024 a

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:13:25.683997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5e6cf1ad-5f67-473c-bd17-555a775c03ce · outbound

This paper cites Claude 3.5, 2024 b.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Claude 3.5, 2024 b

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:13:25.804632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation df8fda6c-3f85-440e-8684-a2f46e46d525 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-23T20:13:25.026755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8d8b027e-93cc-4830-a1cc-f388a5eda008 · outbound

This paper cites Turning large language models into cognitive models.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Turning large language models into cognitive models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:13:25.022104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4ca4f385-91cd-4b24-95d3-a76458269871 · outbound

This paper cites Theoremqa: A theorem-driven question answering dataset.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Theoremqa: A theorem-driven question answering dataset

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:13:25.808080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3be8ded9-a037-42a7-97eb-24e30023ecc7 · outbound

This paper cites InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-23T20:13:24.993510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ce162e8b-2af0-4b96-8ef1-f74d6e85f1d2 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Training Verifiers to Solve Math Word Problems

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-23T20:13:24.981889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9dc97bf6-0f72-4722-8dcd-ec1e2a400ba1 · outbound

This paper cites A survey on multimodal large language models for autonomous driving.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection A survey on multimodal large language models for autonomous driving

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:13:25.793952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 16026aa9-6449-4604-a689-020543105388 · outbound

This paper cites Advancing mathematics by guiding human intuition with ai.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Advancing mathematics by guiding human intuition with ai

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:13:25.801048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 21518bc5-3b88-484c-822b-15c1805cd1d6 · outbound

This paper cites Visual representations in the human brain are aligned with large language models.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Visual representations in the human brain are aligned with large language models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:13:25.031867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 52922b22-c1d3-45ca-bf92-467dfa39452a · outbound

This paper cites Muffin or chihuahua? challenging multimodal large language models with multipanel vqa.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Muffin or chihuahua? challenging multimodal large language models with multipanel vqa

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:13:25.790354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c17fe3b3-ce1f-488e-ab6a-d6b5706b8563 · outbound

This paper cites Trends in Integration of Knowledge and Large Language Models: A Survey and Taxonomy of Methods, Benchmarks, and Applications.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Trends in Integration of Knowledge and Large Language Models: A Survey and Taxonomy of Methods, Benchmarks, and Applications

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:13:24.742490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e53d8485-5e44-4821-8c36-a047c854cde0 · outbound

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

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection IsoBench: Benchmarking Multimodal Foundation Models on Isomorphic Representations

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:13:24.891338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 33cedaae-dab5-4308-868d-eabed4c4ea68 · outbound

This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-23T20:13:24.896437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 61b1e7d4-020b-45a2-a222-07c3f5485eaf · outbound

This paper cites UrbanVLP: Multi-Granularity Vision-Language Pretraining for Urban Socioeconomic Indicator Prediction.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection UrbanVLP: Multi-Granularity Vision-Language Pretraining for Urban Socioeconomic Indicator Prediction

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:13:24.871280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 868a8b7a-3584-45a6-9cac-c12faeedf4c6 · outbound

This paper cites PeFoMed: Parameter Efficient Fine-tuning of Multimodal Large Language Models for Medical Imaging.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection PeFoMed: Parameter Efficient Fine-tuning of Multimodal Large Language Models for Medical Imaging

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:13:24.825358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation afc6ffdf-2f90-4c99-9de8-680fd9e1e13c · outbound

This paper cites CMMU: A Benchmark for Chinese Multi-modal Multi-type Question Understanding and Reasoning.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection CMMU: A Benchmark for Chinese Multi-modal Multi-type Question Understanding and Reasoning

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:13:25.003350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 61c2cfe1-22c8-449d-b678-ebbc4c2dbc27 · outbound

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

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Measuring Mathematical Problem Solving With the MATH Dataset

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-05-23T20:13:24.728474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8900b923-fec1-4134-bf1e-df2e0167bfa0 · outbound

This paper cites Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:13:24.850060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ec757e1c-078f-417a-9525-dc588045b480 · outbound

This paper cites MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:13:24.854814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ccc2ac53-320e-476b-a810-444d8c4da6bf · outbound

This paper cites Describe-then-Reason: Improving Multimodal Mathematical Reasoning through Visual Comprehension Training.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Describe-then-Reason: Improving Multimodal Mathematical Reasoning through Visual Comprehension Training

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:13:24.883048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1817a52e-bc03-4163-845e-e23b32334315 · outbound

This paper cites New generation deep learning for video object detection: A survey.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection New generation deep learning for video object detection: A survey

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:13:25.797268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1e079590-4b40-45db-8bf9-78b8a447502e · outbound

This paper cites Learning instance-level representation for large-scale multi-modal pretraining in e-commerce.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Learning instance-level representation for large-scale multi-modal pretraining in e-commerce

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:13:25.823018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fd89f66e-3a2a-42cd-9720-86d0ad964e32 · outbound

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

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Large language models struggle to learn long-tail knowledge

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:13:25.778712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 10420b75-8e73-4209-bad3-e386591f6652 · outbound

This paper cites Scaling Laws for Neural Language Models.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Scaling Laws for Neural Language Models

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-05-23T20:13:24.699095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 73b4a142-6d39-40c3-9099-df106ddfdfb6 · outbound

This paper cites Cognitive load theory: An applied reintroduction for special and general educators.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Cognitive load theory: An applied reintroduction for special and general educators

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:13:25.710619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d3ceb4ea-2a12-403f-92e2-70ad657c6bfc · outbound

This paper cites Large language models are zero-shot reasoners.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Large language models are zero-shot reasoners

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:13:25.770497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bc925469-d196-4f80-a92e-8f719e36071c · outbound

This paper cites Solving quantitative reasoning problems with language models.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Solving quantitative reasoning problems with language models

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:13:25.766527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ca615388-f73a-4a0b-9df3-4df1a512c422 · outbound

This paper cites Bringing Generative AI to Adaptive Learning in Education.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Bringing Generative AI to Adaptive Learning in Education

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:13:25.068959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 14d40029-233f-43c0-99e7-30d1188c3bdf · outbound

This paper cites Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:13:24.840001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e4a372f3-2979-437e-8640-101eb7831d61 · outbound

This paper cites CMMaTH: A Chinese Multi-modal Math Skill Evaluation Benchmark for Foundation Models.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection CMMaTH: A Chinese Multi-modal Math Skill Evaluation Benchmark for Foundation Models

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:13:24.901744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 981eb948-3025-48ee-83e2-0d6677026d28 · outbound

This paper cites Llava-next: Improved reasoning, ocr, and world knowledge, January 2024 a.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Llava-next: Improved reasoning, ocr, and world knowledge, January 2024 a

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:13:25.758496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a4fb8dfe-28f1-432b-9c51-6b8ead269c3b · outbound

This paper cites MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics Benchmark.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics Benchmark

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:13:24.804839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 213f5ab0-6c1f-454d-809c-372f739c275f · outbound

This paper cites Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:13:25.074552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bb2f1cd8-6e24-43f5-8ac0-7e500414bbac · outbound

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

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection DeepSeek-VL: Towards Real-World Vision-Language Understanding

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-05-23T20:13:24.784013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4add98e9-d240-4094-9622-d47fb5d22cda · outbound

This paper cites A Survey of Deep Learning for Mathematical Reasoning.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection A Survey of Deep Learning for Mathematical Reasoning

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:13:24.737121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 740ff5f3-23ef-4f57-877e-1a072ddbc86d · outbound

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

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-05-23T20:13:24.722988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5ae4255b-12a5-483b-a923-2ccbaea78250 · outbound

This paper cites Chameleon: Plug-and-play compositional reasoning with large language models.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Chameleon: Plug-and-play compositional reasoning with large language models

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:13:25.762166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a4d2500f-7082-4485-a0e7-69bbf93779de · outbound

This paper cites Large Language Models: A Survey.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Large Language Models: A Survey

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-05-23T20:13:24.844854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1d180948-b687-4322-b825-7e8fb872c1e7 · outbound

This paper cites Scaling data-constrained language models.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Scaling data-constrained language models

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:13:25.750446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 91aa87ec-9310-4dcc-a70c-71666846f229 · outbound

This paper cites GPT-4 Technical Report.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection GPT-4 Technical Report

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-05-23T20:13:24.757361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bc700717-d009-44ea-9e7b-272d59800955 · outbound

This paper cites GPT-4V(ision) system card, 2024 a.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection GPT-4V(ision) system card, 2024 a

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:13:25.743969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bfbc8825-449e-4ddc-9c43-9c4e997b51e8 · outbound

This paper cites Gpt-4o mini: advancing cost-efficient intelligence, 2024 b.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Gpt-4o mini: advancing cost-efficient intelligence, 2024 b

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:13:25.738654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5d29731a-20f6-4213-8362-89fdc2eb83b0 · outbound

This paper cites Cognitive load theory and instructional design: Recent developments.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Cognitive load theory and instructional design: Recent developments

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:13:25.786625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a1e38f9c-de1a-42cd-9fb2-0d325458eb1a · outbound

This paper cites Gemini Goes to Med School: Exploring the Capabilities of Multimodal Large Language Models on Medical Challenge Problems & Hallucinations.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Gemini Goes to Med School: Exploring the Capabilities of Multimodal Large Language Models on Medical Challenge Problems & Hallucinations

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:13:24.747536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0f08144f-7f53-4bce-967b-e99f9d347ae5 · outbound

This paper cites MultiMath: Bridging Visual and Mathematical Reasoning for Large Language Models.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection MultiMath: Bridging Visual and Mathematical Reasoning for Large Language Models

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:13:24.789526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b92f1d45-4b97-46a8-b689-3c3579cf5d2b · outbound

This paper cites We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-05-23T20:13:24.631903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6109d41c-3620-4bfd-bf38-7ec138d14b65 · outbound

This paper cites Elementary math learning through piaget's cognitive development stages.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Elementary math learning through piaget's cognitive development stages

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:13:25.730301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c5183aab-f5a4-4d10-ac62-c2ca24b4d04e · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-05-23T20:13:24.597040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1cdd9210-316a-4bb2-a8c4-de08309256d0 · outbound

This paper cites Detecting Pretraining Data from Large Language Models.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Detecting Pretraining Data from Large Language Models

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-05-23T20:13:24.831510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dd81da68-afc6-487a-b30d-16383dfef233 · outbound

This paper cites Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:13:24.675026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 89ecd939-1a04-4291-8044-b49b18e9cc38 · outbound

This paper cites How to Bridge the Gap between Modalities: Survey on Multimodal Large Language Model.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection How to Bridge the Gap between Modalities: Survey on Multimodal Large Language Model

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:13:25.058416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 81b3a9e7-e85a-4bea-b552-7cf98bfc58c5 · outbound

This paper cites Scieval: A multi-level large language model evaluation benchmark for scientific research.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Scieval: A multi-level large language model evaluation benchmark for scientific research

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:13:25.722923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6696d416-a815-4cb5-bea7-38f0a3071df7 · outbound

This paper cites Aligning Large Multimodal Models with Factually Augmented RLHF.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Aligning Large Multimodal Models with Factually Augmented RLHF

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-05-23T20:13:24.796726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d0ae4849-dc13-4b84-8d16-27965b2d6f13 · outbound

This paper cites Memorization without overfitting: Analyzing the training dynamics of large language models.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Memorization without overfitting: Analyzing the training dynamics of large language models

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:13:25.734523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d7ddc412-30ba-4a2d-acbc-506790c88a42 · outbound

This paper cites Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset

Reference 60

Resolution: verified exact; local_arxiv, observed 2026-05-23T20:13:24.769190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6d1ba5fa-f238-4a5e-aa60-3ad5e5606653 · outbound

This paper cites Large Language Models for Education: A Survey and Outlook.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Large Language Models for Education: A Survey and Outlook

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:13:24.812679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dedad807-91d7-4d41-ad1f-0185068474a2 · outbound

This paper cites CogVLM: Visual Expert for Pretrained Language Models.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection CogVLM: Visual Expert for Pretrained Language Models

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-05-23T20:13:24.656773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2841365e-1eb1-47e2-818b-53502139cdcc · outbound

This paper cites Large-scale multi-modal pre-trained models: A comprehensive survey.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Large-scale multi-modal pre-trained models: A comprehensive survey

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:13:25.706479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e1bbde25-40b2-4a34-b348-a6b4424acfbe · outbound

This paper cites SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models

Reference 64

Resolution: verified exact; local_arxiv, observed 2026-05-23T20:13:24.665670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0b2da07f-e806-4b7e-a552-f13f425ffe47 · outbound

This paper cites Exploring the Reasoning Abilities of Multimodal Large Language Models (MLLMs): A Comprehensive Survey on Emerging Trends in Multimodal Reasoning.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection 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 2026-05-23T20:13:24.651777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2e8d19e2-7d15-4fb1-98f4-a5faad70e5bf · outbound

This paper cites Are deep neural networks adequate behavioral models of human visual perception? Annual Review of Vision Science, 9 0 (1): 0 501--524.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Are deep neural networks adequate behavioral models of human visual perception? Annual Review of Vision Science, 9 0 (1): 0 501--524

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:13:25.718670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b7bf2295-098e-429e-bd4b-71e3631f542d · outbound

This paper cites A Comprehensive Survey of Large Language Models and Multimodal Large Language Models in Medicine.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection A Comprehensive Survey of Large Language Models and Multimodal Large Language Models in Medicine

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:13:24.643282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ad01e102-61e5-4ae0-be2e-9cc1545c302f · outbound

This paper cites MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:13:24.637635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 752b09f9-3757-4f31-99a5-b587d6533ca1 · outbound

This paper cites SuperCLUE-Math6: Graded Multi-Step Math Reasoning Benchmark for LLMs in Chinese.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection SuperCLUE-Math6: Graded Multi-Step Math Reasoning Benchmark for LLMs in Chinese

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:13:24.609009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6ed7585e-c8b0-45b2-b324-b47400a2c4e1 · outbound

This paper cites Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:13:24.590916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation eeb102f7-ccbe-4efe-9ff6-0a01b33774c4 · outbound

This paper cites Emerging Synergies Between Large Language Models and Machine Learning in Ecommerce Recommendations.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Emerging Synergies Between Large Language Models and Machine Learning in Ecommerce Recommendations

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:13:25.049022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c1a9acb3-51a9-4a54-8acc-a199d0c57ce1 · outbound

This paper cites GeoReasoner: Reasoning On Geospatially Grounded Context For Natural Language Understanding.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection GeoReasoner: Reasoning On Geospatially Grounded Context For Natural Language Understanding

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:13:24.693768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ae8143ff-b337-457f-ac72-5a7d537990fe · outbound

This paper cites Urbanclip: Learning text-enhanced urban region profiling with contrastive language-image pretraining from the web.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Urbanclip: Learning text-enhanced urban region profiling with contrastive language-image pretraining from the web

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:13:25.689996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0372a539-9a1d-41d3-9673-a0093cb903f5 · outbound

This paper cites Exploring diverse in-context configurations for image captioning.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Exploring diverse in-context configurations for image captioning

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:13:25.694605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 17c4ad5f-dc70-4c37-ad5e-3797dcbb1393 · outbound

This paper cites MiniCPM-V: A GPT-4V Level MLLM on Your Phone.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection MiniCPM-V: A GPT-4V Level MLLM on Your Phone

Reference 75

Resolution: verified exact; local_arxiv, observed 2026-05-23T20:13:24.906671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2bab7c3f-75c0-4163-9282-e0ca44687f23 · outbound

This paper cites Yi: Open Foundation Models by 01.AI.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Yi: Open Foundation Models by 01.AI

Reference 76

Resolution: verified exact; local_arxiv, observed 2026-05-23T20:13:24.686872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7dd62501-1f2d-42ad-929b-c34c289c1fb3 · outbound

This paper cites Large language model as attributed training data generator: A tale of diversity and bias.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Large language model as attributed training data generator: A tale of diversity and bias

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:13:25.699491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fdf4f964-e45d-4c93-ad69-829831adaa9a · outbound

This paper cites MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:13:24.818351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1fd7739d-d3c1-447c-9fb2-ef9a29d4363c · outbound

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

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?

Reference 79

Resolution: verified exact; local_arxiv, observed 2026-05-23T20:13:24.708257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 60de8a06-b8b0-4a34-a59e-75de3c30507a · outbound

This paper cites A Survey of Large Language Models.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection A Survey of Large Language Models

Reference 80

Resolution: verified exact; local_arxiv, observed 2026-05-23T20:13:24.620935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 26e69ea4-d823-4e60-88c0-5da7588b24d4 · outbound

This paper cites Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models

Reference 81

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:13:24.681459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d7ccc97d-03ac-4148-a9a0-67fb8b57f831 · outbound

This paper cites UrbanCross: Enhancing Satellite Image-Text Retrieval with Cross-Domain Adaptation.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection UrbanCross: Enhancing Satellite Image-Text Retrieval with Cross-Domain Adaptation

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:13:24.703873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6a4c28c4-ad13-4c28-8dfe-f0bb8de28cef · outbound

This paper cites Mathscape: Evaluating mllms in multimodal math scenarios through a hierarchical benchmark.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Mathscape: Evaluating mllms in multimodal math scenarios through a hierarchical benchmark

Reference 83

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:13:24.864286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 774c5a7e-bd97-4aff-a820-5a3e8933d4cc · outbound

This paper cites Large Language Model for Participatory Urban Planning.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Large Language Model for Participatory Urban Planning

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:13:24.777188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6be2948c-6684-4b74-9e22-fbe581ffa754 · outbound

This paper cites Large language models for information retrieval: A survey.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Large language models for information retrieval: A survey

Reference 85

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:13:25.037969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 882d7d89-01da-45cb-8219-31bb3569df79 · outbound

This paper cites Math-PUMA: Progressive Upward Multimodal Alignment to Enhance Mathematical Reasoning.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Math-PUMA: Progressive Upward Multimodal Alignment to Enhance Mathematical Reasoning

Reference 86

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:13:25.043471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation eb14ca03-8ff0-4d6f-988c-96131b7302d4 · outbound

This paper cites Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:13:25.817974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0ce46bd0-3a45-4866-b6a3-476d24ef4787 · outbound

This paper cites Object detection in 20 years: A survey.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Object detection in 20 years: A survey

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:13:25.829449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6892dd8d-ae52-453f-bd0a-45fa91b59f44 · outbound

This paper cites write newline.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection write newline

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:13:25.774675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2229d2cb-fbcf-4124-8669-856d25a312ec · outbound

This paper cites @esa (Ref.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection @esa (Ref

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:13:25.754450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b4822c65-1ae0-4888-937b-1572a7a59bd0 · outbound

This paper cites an unresolved cited work.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Unresolved cited work

Reference 91

Resolution: unresolved; raw_fallback, observed 2026-05-23T20:13:25.783042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0393e8f1-3007-41c8-a9e9-5de496b1dab9 · outbound

This paper cites an unresolved cited work.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Unresolved cited work

Reference 92

Resolution: unresolved; raw_fallback, observed 2026-05-23T20:13:25.814025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation b878d1b5-5129-4ce4-8ac1-7417cb9acef9 · inbound

Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey cites this paper.

Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T23:54:23.129325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation caee159e-ef80-446f-ae9d-b3b0e6de9ef3 · inbound

Ask-Before-Detection: Identifying and Mitigating Conformity Bias in LLM-Powered Error Detector for Math Word Problem Solutions cites this paper.

Ask-Before-Detection: Identifying and Mitigating Conformity Bias in LLM-Powered Error Detector for Math Word Problem Solutions ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T10:18:50.093213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c605137-5d0b-461f-a0c0-26dfbf061253 · inbound

SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization cites this paper.

SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T22:37:33.961647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9f32bcb-afaf-402e-a709-a0de4b010f27 · inbound

PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models cites this paper.

PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-10T21:58:03.596038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0eabe05b-56f9-4448-8a95-946e31910d21 · inbound

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

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection

Reference 224

Resolution: verified exact; local_arxiv, observed 2026-05-23T04:32:32.716530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 54fc93e1-c672-4bc6-bd01-f06f3c2cd15f · inbound

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment cites this paper.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:50.439693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 485367d5-0e3b-41e8-af3e-5c3530cf70f2 · inbound

CAFES: A Collaborative Multi-Agent Framework for Multi-Granular Multimodal Essay Scoring cites this paper.

CAFES: A Collaborative Multi-Agent Framework for Multi-Granular Multimodal Essay Scoring ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:37.844699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f56b0be1-a536-4fe1-a031-b6364e5d2db8 · inbound

Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis cites this paper.

Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T15:39:20.619522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b15cb36b-4ccc-4a3c-bd5c-af9a360c38a5 · inbound

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities cites this paper.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T13:43:23.892898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ffce526-ce49-4519-9858-9056ea838602 · inbound

MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models cites this paper.

MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T10:39:59.415150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 592386d8-cadf-4471-b632-729753b65e9d · inbound

Evaluating and Improving Large Language Models for Competitive Program Generation cites this paper.

Evaluating and Improving Large Language Models for Competitive Program Generation ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T22:03:30.637102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a1fae2a-88ec-4283-b890-89b596714d48 · inbound

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability cites this paper.

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:28.516071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d475765-52f1-4439-a241-eff51990eeac · inbound

GM-PRM: A Generative Multimodal Process Reward Model for Multimodal Mathematical Reasoning cites this paper.

GM-PRM: A Generative Multimodal Process Reward Model for Multimodal Mathematical Reasoning ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T00:59:53.846243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.