Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans | Paper Citation Record

Observation 9b01b0bd-e42f-4612-bb51-3ab8bf8db8a2 · outbound

This paper cites Reasoning, problem solving, and intelligence.Handbook of human intelligence, pages 225–307, 1982.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Reasoning, problem solving, and intelligence.Handbook of human intelligence, pages 225–307, 1982

Reference 1

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Observation 6fbd7297-af31-4bd5-ae5b-677c292a6edf · outbound

This paper cites Intelligence and reasoning.The Cambridge handbook of intelligence, pages 419–441, 2011.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Intelligence and reasoning.The Cambridge handbook of intelligence, pages 419–441, 2011

Reference 2

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Observation d465d40c-c445-45cb-83de-38e55385ded4 · outbound

This paper cites Levels of agi: Operationalizing progress on the path to agi.arXiv preprint arXiv:2311.02462, 2023.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Levels of agi: Operationalizing progress on the path to agi.arXiv preprint arXiv:2311.02462, 2023

Reference 3

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Observation 942b823d-7c6d-445a-ad55-f40fbab378a9 · outbound

This paper cites LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL

Reference 4

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Observation 38a7a480-6e43-4b31-a541-0d7fa169fc2f · outbound

This paper cites Qwen2.5 Technical Report.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Qwen2.5 Technical Report

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:59.159550Z

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Observation 2ccad829-7663-4913-8d64-402cf4fadae7 · outbound

This paper cites ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline

Reference 6

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Observation b072b084-d996-444d-87d9-724d6cd8fb77 · outbound

This paper cites MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 7

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Observation 8f164bf5-6f56-4ca9-8c72-3483d5e86bb7 · outbound

This paper cites LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:59.171247Z

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Observation 111fb5e2-45aa-442c-9c4c-26b696a16f56 · outbound

This paper cites Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models

Reference 9

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Observation d79de149-d067-4563-bb0b-5c2652268e76 · outbound

This paper cites Language Models can be Logical Solvers.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Language Models can be Logical Solvers

Reference 10

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Observation deeab4a9-3e0a-417e-9d34-c8aa23cceab1 · outbound

This paper cites LogiCoT: Logical Chain-of-Thought Instruction-Tuning.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans LogiCoT: Logical Chain-of-Thought Instruction-Tuning

Reference 11

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Observation d27b262c-4f30-40c8-b17c-685928490a0a · outbound

This paper cites OpenCodeReasoning: Advancing Data Distillation for Competitive Coding.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans OpenCodeReasoning: Advancing Data Distillation for Competitive Coding

Reference 12

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Observation 5cbd7a7d-d1a6-45fa-b735-850e25339e1e · outbound

This paper cites Self-planning code generation with large language models.ACM Transactions on Software Engineering and Methodology, 33(7):1–30, 2024.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Self-planning code generation with large language models.ACM Transactions on Software Engineering and Methodology, 33(7):1–30, 2024

Reference 13

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Observation 590fdc54-8eee-402c-bac4-0ab10656dbf9 · outbound

This paper cites Structured chain-of-thought prompting for code generation.ACM Transactions on Software Engineering and Methodology, 34(2):1–23, 2025.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Structured chain-of-thought prompting for code generation.ACM Transactions on Software Engineering and Methodology, 34(2):1–23, 2025

Reference 14

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Observation 74d08069-4dd6-4a02-81bd-180aaa5140b3 · outbound

This paper cites CodeCoT: Tackling Code Syntax Errors in CoT Reasoning for Code Generation.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans CodeCoT: Tackling Code Syntax Errors in CoT Reasoning for Code Generation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:59.200419Z

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Observation f2f304f6-4926-4a90-bb0f-3a28489982e6 · outbound

This paper cites OpenAI o1 System Card.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans OpenAI o1 System Card

Reference 16

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Observation 7aa369a8-f284-403c-be99-edb45601d507 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 17

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Observation 2b1c60bd-76c2-446f-9331-519a992666e7 · outbound

This paper cites Springer, 2007.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Springer, 2007

Reference 18

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Observation aa0867be-5301-4ea6-9526-6a22d5d3ff55 · outbound

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

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Exploring the Reasoning Abilities of Multimodal Large Language Models (MLLMs): A Comprehensive Survey on Emerging Trends in Multimodal Reasoning

Reference 19

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Observation 4b5d843b-68ae-4bba-8048-27346506a819 · outbound

This paper cites R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization

Reference 20

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Observation 126ca753-9ff0-4f06-8aab-cf7da700f9e2 · outbound

This paper cites R1-v: Reinforcing super generalization ability in vision-language models with less than $3.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans R1-v: Reinforcing super generalization ability in vision-language models with less than $3

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:59.224784Z

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Observation 0c668467-9f5f-4a06-8aad-64b234a0a74d · outbound

This paper cites Visual-RFT: Visual Reinforcement Fine-Tuning.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Visual-RFT: Visual Reinforcement Fine-Tuning

Reference 22

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Observation 946cd72b-23ce-41bc-8664-4c5aff50a98f · outbound

This paper cites VisualPRM: An Effective Process Reward Model for Multimodal Reasoning.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans VisualPRM: An Effective Process Reward Model for Multimodal Reasoning

Reference 23

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Observation 45b70ba3-813b-405d-ab7d-7248588f551b · outbound

This paper cites OThink-MR1: Stimulating multimodal generalized reasoning capabilities via dynamic reinforcement learning.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans OThink-MR1: Stimulating multimodal generalized reasoning capabilities via dynamic reinforcement learning

Reference 24

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Observation 87dcb263-bd00-413b-823f-3fb3bab311c9 · outbound

This paper cites Vlm-r1: A stable and generalizable r1-style large vision-language model.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Vlm-r1: A stable and generalizable r1-style large vision-language model

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:59.240685Z

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Observation 6fcabbe8-6ade-4025-b8db-731faac2ffe0 · outbound

This paper cites Open-r1-video.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Open-r1-video

Reference 26

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Observation 3e1fca7e-9e72-4ef5-bbf0-8dbbbf594ba0 · outbound

This paper cites VisualPuzzles: Decoupling Multimodal Reasoning Evaluation from Domain Knowledge.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans VisualPuzzles: Decoupling Multimodal Reasoning Evaluation from Domain Knowledge

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:59.247883Z

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Observation 23aa7b98-9633-401e-b355-e834fa88e42e · outbound

This paper cites MM-IQ: Benchmarking Human-Like Abstraction and Reasoning in Multimodal Models.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans MM-IQ: Benchmarking Human-Like Abstraction and Reasoning in Multimodal Models

Reference 28

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Observation b82014cd-bf82-458d-87fb-1ca793ecf2d1 · outbound

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

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans VisuLogic: A Benchmark for Evaluating Visual Reasoning in Multi-modal Large Language Models

Reference 29

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Observation 96dc97c7-5308-4420-86ed-34a2111bd7c1 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 30

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Observation 266301ef-630b-4fc3-bd6a-df4c2a398974 · outbound

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

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 31

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Observation e3c30b03-3d84-4f58-87d4-78358e7ebfa7 · outbound

This paper cites Flamingo: a visual language model for few-shot learning.Advances in neural information processing systems, 35:23716–23736, 2022.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Flamingo: a visual language model for few-shot learning.Advances in neural information processing systems, 35:23716–23736, 2022

Reference 32

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Observation 0da66503-5c32-4921-a30e-1d2a527a2a1e · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 33

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Observation 5aa9be15-7c32-4625-8aee-827af55d7df4 · outbound

This paper cites Visual instruction tuning.Advances in neural information processing systems, 36, 2024.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Visual instruction tuning.Advances in neural information processing systems, 36, 2024

Reference 34

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Observation 06c8bf22-2dbc-4557-9cc3-559ab2af888d · outbound

This paper cites Minigpt-4: Enhancing vision- language understanding with advanced large language models.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Minigpt-4: Enhancing vision- language understanding with advanced large language models

Reference 35

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This paper cites Gpt-4o: A multimodal language model, 2024.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Gpt-4o: A multimodal language model, 2024

Reference 36

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Observation af6bb968-af5e-45ad-8ac9-70924b9cce31 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Gemini: A Family of Highly Capable Multimodal Models

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Observation b7141138-c70c-4db1-8660-cbebf4c6f3a9 · outbound

This paper cites Claude: A conversational ai assistant, 2024.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Claude: A conversational ai assistant, 2024

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Observation 2d0f7752-44c5-4f92-b603-c9c2f81f0e40 · outbound

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

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 39

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Observation 2694a045-83cc-4cd6-939d-ac4a826f4422 · outbound

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

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 40

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Observation f8274c36-01d8-4b3e-a817-b0f3cbc43459 · outbound

This paper cites Qwen2.5-VL Technical Report.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Qwen2.5-VL Technical Report

Reference 41

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Observation 93733ea4-3ca0-455a-85c4-6f1abd24f5b3 · outbound

This paper cites How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites

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Observation 2c1a9576-a1dc-4ac7-80c5-7252db5066c8 · outbound

This paper cites Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks

Reference 43

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Observation 2d672641-e81d-4906-ac7d-46a8c4d7f37e · outbound

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

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 44

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Observation fe0b1d75-14b5-4aae-af7a-f5ae797f4393 · outbound

This paper cites Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization

Reference 45

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Observation da2870a5-ca2b-4d6d-9c79-30c6cb2ad0d3 · outbound

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

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 46

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Observation 2c4efc12-8a41-4da1-abbc-af479be850e7 · outbound

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

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans LLaVA-OneVision: Easy Visual Task Transfer

Reference 47

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Observation 0f548ba1-bc33-40ad-b000-52b6df849d2a · outbound

This paper cites Pangea: A fully open multilingual multimodal LLM for 39 languages.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Pangea: A fully open multilingual multimodal LLM for 39 languages

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Observation 51f20111-f6b5-49f0-9ace-c65bd5bc8055 · outbound

This paper cites Harnessing Webpage UIs for Text-Rich Visual Understanding.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Harnessing Webpage UIs for Text-Rich Visual Understanding

Reference 49

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Observation ffe5cd88-b90e-43c6-9847-ac75d913a313 · outbound

This paper cites Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs

Reference 50

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Observation c3000e9c-444e-44fe-a609-934d48f0fe48 · outbound

This paper cites The Llama 3 Herd of Models.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans The Llama 3 Herd of Models

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Observation f486d850-d21c-4f7f-b595-9f2197a97a44 · outbound

This paper cites Math-llava: Bootstrapping mathematical reasoning for multimodal large language models.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Math-llava: Bootstrapping mathematical reasoning for multimodal large language models

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Observation be250d21-e842-49a3-8f98-6d9065a73682 · outbound

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

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans MultiMath: Bridging Visual and Mathematical Reasoning for Large Language Models

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Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:59.361895Z

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Observation 183a1482-dbf6-4aba-99b6-5aeba392488f · outbound

This paper cites Med-flamingo: a multimodal medical few-shot learner.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Med-flamingo: a multimodal medical few-shot learner

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:59.365921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fade284-7987-467d-91d4-02c561ee2ba6 · outbound

This paper cites Med-moe: Mixture of domain-specific experts for lightweight medical vision-language models.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Med-moe: Mixture of domain-specific experts for lightweight medical vision-language models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:59.369418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 027bb3a7-7c97-4254-b7bf-2601e24db763 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837, 2022.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837, 2022

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:59.373609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52b3d24c-7bcc-479b-a14d-a47501771163 · outbound

This paper cites DPO Meets PPO: Reinforced Token Optimization for RLHF.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans DPO Meets PPO: Reinforced Token Optimization for RLHF

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:59.377307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9462d6c9-bf94-4a4f-b89c-11a99540f6a6 · outbound

This paper cites Star: Self-taught reasoner bootstrapping reasoning with reasoning.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Star: Self-taught reasoner bootstrapping reasoning with reasoning

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:59.381458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3b024cb-163f-4f28-b6c9-6fb4b0c3c7c4 · outbound

This paper cites Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:59.385419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c5b7f1a-73be-4a5b-aaa6-ab32ee6562e6 · outbound

This paper cites Qvq: To see the world with wisdom, December 2024.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Qvq: To see the world with wisdom, December 2024

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:59.390247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7214e0e-bc38-4712-b2b5-b9eb1e42e5e6 · outbound

This paper cites Ocrbench: on the hidden mystery of ocr in large multimodal models.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Ocrbench: on the hidden mystery of ocr in large multimodal models

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:59.394676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b353542f-2d19-417b-902e-718beac5dd0a · outbound

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

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:59.398663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f22818f8-29b5-4380-ae4d-e55d70ec3e73 · outbound

This paper cites Docvqa: A dataset for vqa on document images.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Docvqa: A dataset for vqa on document images

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:59.402696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fb5dd0d-43da-4279-8def-12dcf65cfdeb · outbound

This paper cites AgentBench: Evaluating LLMs as Agents.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans AgentBench: Evaluating LLMs as Agents

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:59.406856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a358f92-c552-45e3-b3fc-e11d25d47c04 · outbound

This paper cites ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:59.411738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f58b9c21-638b-419b-ac58-047211f86d55 · outbound

This paper cites Egoschema: A diagnostic benchmark for very long-form video language understanding.Advances in Neural Information Processing Systems, 36:46212–46244, 2023.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Egoschema: A diagnostic benchmark for very long-form video language understanding.Advances in Neural Information Processing Systems, 36:46212–46244, 2023

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:59.415729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d96fa136-b120-4857-bad7-20002bed72bc · outbound

This paper cites Egothink: Evaluating first-person perspective thinking capability of vision-language models.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Egothink: Evaluating first-person perspective thinking capability of vision-language models

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:59.419749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e346f55-3341-4de5-ac5d-a1398baa9cb5 · outbound

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

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:59.423494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80f72f2f-d8d7-412b-9d1c-02ee2aff2602 · outbound

This paper cites Ok-vqa: A visual question answering benchmark requiring external knowledge.2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 3190–3199, 2019.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Ok-vqa: A visual question answering benchmark requiring external knowledge.2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 3190–3199, 2019

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:59.427615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c1320a2-db16-4cbb-8926-6e2a3acea4cd · outbound

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

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Mmbench: Is your multi-modal model an all-around player? In European conference on computer vision, pages 216–233

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:59.431764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b293c01-c3a9-43d5-bdff-79e2cb2ae5a1 · outbound

This paper cites MMMU: A massive multi-discipline multimodal understanding and reasoning benchmark for expert AGI.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans MMMU: A massive multi-discipline multimodal understanding and reasoning benchmark for expert AGI

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:59.435780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f461b015-adbb-412c-b320-b48ef8260221 · outbound

This paper cites Humanity's Last Exam.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Humanity's Last Exam

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:59.440333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a1a2842-322c-4fec-b604-b4b16cc20081 · outbound

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

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Mathverse: Does your multi-modal llm truly see the diagrams in visual math problems? InEuropean Conference on Computer Vision, pages 169–186

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:59.445137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2b90fb1-d75a-44d1-b90a-cd0412ccae4e · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Training Verifiers to Solve Math Word Problems

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:59.448758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86c09a99-d31d-471a-b009-cbacb4f554da · outbound

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

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans EXAMS-V: A Multi-Discipline Multilingual Multimodal Exam Benchmark for Evaluating Vision Language Models

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:59.455724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 644e8399-f47e-4bb0-bd86-dc018eccb77a · outbound

This paper cites Scienceqa: A novel resource for question answering on scholarly articles.International Journal on Digital Libraries, 23 (3):289–301, 2022.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Scienceqa: A novel resource for question answering on scholarly articles.International Journal on Digital Libraries, 23 (3):289–301, 2022

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:59.460568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cb4f7d5-cc86-485c-9451-bee23e149ba5 · outbound

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

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:59.465245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e611daba-748b-438a-bfc9-a85845645edc · outbound

This paper cites MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:59.469347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 310d25b8-954a-49e2-b126-04bf88a79a6b · outbound

This paper cites Introducing openai o3 and o4-mini, 2025.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Introducing openai o3 and o4-mini, 2025

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:59.473292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11e372b3-f8ff-40fb-a60c-0b6369ad6da2 · outbound

This paper cites Gemini 2.5: Our most intelligent ai model, 2025.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Gemini 2.5: Our most intelligent ai model, 2025

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:59.477768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97a17e25-d4a2-46e6-b471-675d3e17dc6c · outbound

This paper cites black + white = black.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans black + white = black

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:59.481666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94aed1f4-904d-4adb-bb14-b01d495ddbba · outbound

This paper cites an unresolved cited work.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Unresolved cited work

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:59.486202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a459a31a-7b38-460e-b1ec-232ef6e82ec0 · outbound

This paper cites an unresolved cited work.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Unresolved cited work

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:59.489974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b2db3b0-2f37-453c-af85-afe20722b713 · outbound

This paper cites an unresolved cited work.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Unresolved cited work

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:59.493984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20fa0037-5474-491d-9ef6-93cbd1a252fd · outbound

This paper cites during working hours,.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans during working hours,

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:59.497957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eab776ae-9e6f-4d7b-ae9d-85ffb12cc433 · outbound

This paper cites for profit,.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans for profit,

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:00.815190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 683eea3b-4027-4f69-9e98-e25e7e30638c · outbound

This paper cites must," "main,.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans must," "main,

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:00.802838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation eb89377d-292e-4eb6-950b-35520842aeba · outbound

This paper cites deconstruct.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans deconstruct

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:00.788369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 86a5383b-d01a-4a37-8db7-7935bd02cb1b · outbound

This paper cites - Step 5: Strictly and systematically compare the option’s information with the defini- tion’s core elements.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans - Step 5: Strictly and systematically compare the option’s information with the defini- tion’s core elements

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:00.775910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f6a62f66-96b9-4614-a9ba-16adf5cfe426 · outbound

This paper cites belongs to.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans belongs to

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:00.761912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e373f18c-daec-4418-9e31-9ba2bd6ef162 · outbound

This paper cites Choose the one that best matches or mismatches the definition.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Choose the one that best matches or mismatches the definition

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:00.749396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bc9867c2-1799-4ee0-b4a2-88ba3af3ddbe · outbound

This paper cites Always take the definition as the sole criterion.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Always take the definition as the sole criterion

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:00.731799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8b4285e3-d13e-48cb-be54-65feff1d63f6 · outbound

This paper cites must," "main,.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans must," "main,

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:00.719458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 76020b2c-8134-4877-9893-e22fcaff5be9 · outbound

This paper cites justifiable defense.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans justifiable defense

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:00.706600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2243a021-4918-4245-9872-16c964de8b97 · outbound

This paper cites Or" vs.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Or" vs

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:00.693791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a7c078ef-b16d-4833-8f29-b69fdf4fd7c2 · outbound

This paper cites belongs to.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans belongs to

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:00.680001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 18f4c6f3-10d2-442a-a5a1-6f967807db32 · outbound

This paper cites Word-Picking.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans Word-Picking

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:00.661637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 906585cc-ec6b-4475-aeb8-b101b60e459e · outbound

This paper cites one-sentence summary.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans one-sentence summary

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:00.646462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 24447a73-3b72-4239-b906-795e206198f7 · outbound

This paper cites 在工作时间”、“未经许可.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans 在工作时间”、“未经许可

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:00.632714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6ad78094-1698-4cab-a37c-7a55d69c3d76 · outbound

This paper cites 必须”、“主要”、“故意.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans 必须”、“主要”、“故意

Reference 101

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:00.617875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers