VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models | Paper Citation Record

Observation 4a468c54-123d-4828-99e2-10775c17f026 · outbound

This paper cites an unresolved cited work.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:52:59.737845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 722aab40-8951-49e2-ad7b-18bfaea632dd · outbound

This paper cites Princeton University Press, Princeton, NJ, January 2015.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Princeton University Press, Princeton, NJ, January 2015

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:52:59.710921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c939dcf6-4b6f-4df7-9c48-0d6a7f11f832 · outbound

This paper cites The aesthetics of graph visualization.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models The aesthetics of graph visualization

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:52:59.681191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e4ba91d3-cfef-4a72-afb8-8d5b94cc52e8 · outbound

This paper cites Camilus and Govindan V K.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Camilus and Govindan V K

Reference 4

Resolution: verified exact; doi, observed 2026-08-12T14:52:57.506065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 10973ab0-99a8-44e4-807c-935110a17353 · outbound

This paper cites Graph matching based on similarities in structure and attributes.arXiv [cs.DS], September 2024.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Graph matching based on similarities in structure and attributes.arXiv [cs.DS], September 2024

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:52:59.648193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4be20677-c389-430d-8e2b-f8636638d26c · outbound

This paper cites A First Course in Graph Theory.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models A First Course in Graph Theory

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:52:59.625129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 71a9a95e-e4f7-4e87-b910-6ba83faf1db8 · outbound

This paper cites Vision-Language Models Can Self-Improve Reasoning via Reflection.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Vision-Language Models Can Self-Improve Reasoning via Reflection

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:56.943111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9acafd4-66a0-4262-8a77-013ed3b41ac7 · outbound

This paper cites Fast approximate isorank for scalable global alignment of biological networks.bioRxiv, 2023.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Fast approximate isorank for scalable global alignment of biological networks.bioRxiv, 2023

Reference 8

Resolution: verified exact; doi, observed 2026-08-12T14:52:57.486036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fbccbd7e-d82d-4df2-bec4-02ce6269c1f7 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:56.955514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ee2c82f-74bb-420b-84df-78ec80af716d · outbound

This paper cites Benchmarking and Improving Detail Image Caption.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Benchmarking and Improving Detail Image Caption

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:56.962204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73380a05-4855-408a-9ff7-4ed8f26abd07 · outbound

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

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:56.967918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c1134bc-9ed6-48ac-9e24-e0cc475cea8b · outbound

This paper cites The llama 3 herd of models, 2024.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models The llama 3 herd of models, 2024

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:52:59.600412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6de6b3c1-fc23-4001-bfe9-036e6b60835c · outbound

This paper cites An introduction to graph theory.arXiv [math.HO], August 2023.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models An introduction to graph theory.arXiv [math.HO], August 2023

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:52:59.568834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4583a74a-7316-45c5-988a-ba2df3201575 · outbound

This paper cites The False Promise of Imitating Proprietary LLMs.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models The False Promise of Imitating Proprietary LLMs

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:56.987115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31762653-8807-46f3-a7d6-f062d43af003 · outbound

This paper cites Survey of Graph Analysis Applications.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Survey of Graph Analysis Applications

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:52:58.835890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a18a04d7-29ad-40e8-aa9b-7d0dc0a802a0 · outbound

This paper cites OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:56.998954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd9e71c2-de5e-4644-a337-75fba9637b07 · outbound

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

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Towards Reasoning in Large Language Models: A Survey

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:57.004212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c372eb6-5631-4371-84e4-9271502b7e6d · outbound

This paper cites Are Large Vision Language Models up to the Challenge of Chart Comprehension and Reasoning? An Extensive Investigation into the Capabilities and Limitations of LVLMs.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Are Large Vision Language Models up to the Challenge of Chart Comprehension and Reasoning? An Extensive Investigation into the Capabilities and Limitations of LVLMs

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:57.011589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c1ba15e-724c-42c6-ab5f-d9fc14028da3 · outbound

This paper cites Llms meet vlms: Boost open vocabulary object detection with fine-grained descriptors, 2024.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Llms meet vlms: Boost open vocabulary object detection with fine-grained descriptors, 2024

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:52:59.533577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ffaedb98-2ba9-407b-a9fa-eee651965a6e · outbound

This paper cites Networkfailuredetectionandgraphconnectivity.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Networkfailuredetectionandgraphconnectivity

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:52:59.493118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fad45d8e-e482-4a42-82b9-f689fb6693ca · outbound

This paper cites Large Language Models are Zero-Shot Reasoners.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Large Language Models are Zero-Shot Reasoners

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:57.029383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39321c20-95b1-412a-8f58-5959e6181aac · outbound

This paper cites Evaluating graph neural networks for link prediction: Current pitfalls and new benchmarking,.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Evaluating graph neural networks for link prediction: Current pitfalls and new benchmarking,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:52:59.453954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7f4ebab1-12e7-43f1-b7ab-17947b7f31d3 · outbound

This paper cites BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:57.048692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 146eb561-1fb3-4ab6-8625-1c83b8c79c27 · outbound

This paper cites VisualBERT: A Simple and Performant Baseline for Vision and Language.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models VisualBERT: A Simple and Performant Baseline for Vision and Language

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:57.054555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b35c6c13-608f-4ce5-9e68-abb6ae206bed · outbound

This paper cites Evaluating Object Hallucination in Large Vision-Language Models.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Evaluating Object Hallucination in Large Vision-Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:57.061523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b7f85c3-c101-4e7e-932f-cb96a4a8bde0 · outbound

This paper cites Graph Matching Networks for Learning the Similarity of Graph Structured Objects.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Graph Matching Networks for Learning the Similarity of Graph Structured Objects

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:57.067633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16018c85-0a5b-4a00-b27b-ba81a3c6af7f · outbound

This paper cites VisionGraph: Leveraging Large Multimodal Models for Graph Theory Problems in Visual Context.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models VisionGraph: Leveraging Large Multimodal Models for Graph Theory Problems in Visual Context

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:57.073882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a7153db-d6c6-4edb-8f32-aac34c42882c · outbound

This paper cites A Survey on Hallucination in Large Vision-Language Models.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models A Survey on Hallucination in Large Vision-Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:57.081858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33a53c64-c86b-403a-a2be-a5762bb1a7d3 · outbound

This paper cites ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:57.089001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d11e137-ae38-46c7-b4f2-fb9531b639fd · outbound

This paper cites Self-Refine: Iterative Refinement with Self-Feedback.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Self-Refine: Iterative Refinement with Self-Feedback

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:57.096625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ae2dfca-ee8a-4e99-a81c-569ca4fdea45 · outbound

This paper cites Revisiting link prediction: A data perspective, 2024.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Revisiting link prediction: A data perspective, 2024

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:52:59.424889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 34ce7520-ccf2-4c6a-992f-89c8ef5dc403 · outbound

This paper cites Unichart: A univer- sal vision-language pretrained model for chart comprehension and reasoning.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Unichart: A univer- sal vision-language pretrained model for chart comprehension and reasoning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:52:59.394720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0a21b861-ac3d-4a8d-a38e-015a56c4c33d · outbound

This paper cites Inverse Scaling: When Bigger Isn't Better.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Inverse Scaling: When Bigger Isn't Better

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:57.115001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50a618d3-eb31-4929-8cb2-4fca1f2470bc · outbound

This paper cites Brain network similarity: methods and applications.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Brain network similarity: methods and applications

Reference 34

Resolution: malformed identifier; doi_truncated, observed 2026-08-12T14:52:57.464304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3fb354c0-6e14-4dbb-bcfb-007df1f04a7c · outbound

This paper cites Attacking shortest paths by cutting edges.arXiv [cs.SI], November 2022.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Attacking shortest paths by cutting edges.arXiv [cs.SI], November 2022

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:52:59.370264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c762103f-acd3-449d-a98f-e4a1d39f7f26 · outbound

This paper cites GPT-4 Technical Report.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models GPT-4 Technical Report

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:57.135094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3159e4e-74cc-4a6c-afb8-b5d2755ddd3b · outbound

This paper cites Automatically correcting large language models: Surveying the landscape of diverse self-correction strategies.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Automatically correcting large language models: Surveying the landscape of diverse self-correction strategies

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:52:59.345637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4c2d7ab7-ddab-4a6f-b59b-7bc2b69de1fc · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Learning Transferable Visual Models From Natural Language Supervision

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:57.148239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4ebe0e5-5384-4dd0-90f7-86052c3866e6 · outbound

This paper cites Self-reflection in llm agents: Effects on problem-solving performance,.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Self-reflection in llm agents: Effects on problem-solving performance,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:52:59.318323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ab648006-8c91-4524-abc4-2a524dec9c19 · outbound

This paper cites A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:57.169469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73b9b9fc-c16e-4bc3-876c-26e6533b2630 · outbound

This paper cites GraphPi: High performance graph pattern matching through effective redundancy elimination.arXiv [cs.DC], September 2020.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models GraphPi: High performance graph pattern matching through effective redundancy elimination.arXiv [cs.DC], September 2020

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:52:59.282222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cccc089d-ee42-4cad-8c78-b9b6845d6536 · outbound

This paper cites A survey on graph matching in computer vision.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models A survey on graph matching in computer vision

Reference 42

Resolution: verified exact; raw_fallback, observed 2026-08-12T14:52:58.309972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fbd9b04f-f980-4fb1-bcd0-48f595b4ba69 · outbound

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

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models LXMERT: Learning Cross-Modality Encoder Representations from Transformers

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:57.190279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e9e6fd3-0956-4811-bf0d-f4f8c9956d12 · outbound

This paper cites Introducing Claude 3.5 Sonnet — anthropic.com.https://www.anthropic.com/news/ claude-3-5-sonnet, 2024.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Introducing Claude 3.5 Sonnet — anthropic.com.https://www.anthropic.com/news/ claude-3-5-sonnet, 2024

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:52:59.257163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a756f6ef-3ece-4595-bbc6-c4cf9a46cc13 · outbound

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

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:57.202784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e806c3ba-8100-4ca0-8d4e-c3f0224c953c · outbound

This paper cites Kistowski, Jeremy A.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Kistowski, Jeremy A

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:57.208463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a87c4342-f21e-4433-af35-81e5e8be2b86 · outbound

This paper cites Attention Is All You Need.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Attention Is All You Need

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:57.214873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c1d7798-b6b0-427b-ab7f-2740648a5b12 · outbound

This paper cites A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:57.221893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43502e7f-a2aa-40fe-9b53-fa98124ea8a9 · outbound

This paper cites Graph cut based image segmentation with connectivity priors.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Graph cut based image segmentation with connectivity priors

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:52:59.237762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 461cdbee-943c-4eed-b947-1f9ac30178d7 · outbound

This paper cites Surgical-lvlm: Learning to adapt large vision-language model for grounded visual question answering in robotic surgery, 2024.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Surgical-lvlm: Learning to adapt large vision-language model for grounded visual question answering in robotic surgery, 2024

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:52:59.219369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 79ffc5e1-09b2-4edd-bb64-bf443e0597b8 · outbound

This paper cites Llm-seg: Bridging image segmentation and large language model reasoning,.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Llm-seg: Bridging image segmentation and large language model reasoning,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:52:59.192971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 90b38d52-7006-4296-ba6e-f6460e2dbef8 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:57.267086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00a246c3-6ebd-4316-9f69-e4964da1ed8e · outbound

This paper cites GITA: Graph to Visual and Textual Integration for Vision-Language Graph Reasoning.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models GITA: Graph to Visual and Textual Integration for Vision-Language Graph Reasoning

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:57.274157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d10269e-e38e-457a-9fc7-c0afbb7b6a04 · outbound

This paper cites Multimodal LLMs struggle with basic visual network analysis: A VNA benchmark.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Multimodal LLMs struggle with basic visual network analysis: A VNA benchmark

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:52:59.165631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e4cf4322-eb21-4810-bfea-1b5d150ed34a · outbound

This paper cites LLM-Seg: Bridging Image Segmentation and Large Language Model Reasoning.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models LLM-Seg: Bridging Image Segmentation and Large Language Model Reasoning

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:57.259310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d82075b-bcd7-41c2-8612-52866056bf8d · outbound

This paper cites Qwen2 Technical Report.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Qwen2 Technical Report

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:57.303977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00597e96-5cad-4259-bb8c-bad50e87d1d1 · outbound

This paper cites A Survey on Multimodal Large Language Models.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models A Survey on Multimodal Large Language Models

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:57.314162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a4d48f2-5dd1-490e-81ab-0a7fb8dc4b69 · outbound

This paper cites Florence: A New Foundation Model for Computer Vision.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Florence: A New Foundation Model for Computer Vision

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:57.320860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6393b5fd-af2c-483f-bb4e-852502383b96 · outbound

This paper cites GPT-4o: Visual perception performance of multimodal large language models in piglet activity understanding.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models GPT-4o: Visual perception performance of multimodal large language models in piglet activity understanding

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:57.291073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1b3795c-8220-4ab1-85f2-91740f068ac2 · outbound

This paper cites Vision-Language Models for Vision Tasks: A Survey.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Vision-Language Models for Vision Tasks: A Survey

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:57.333418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 993bc039-f3f8-4724-9d70-c8c8fc43ace0 · outbound

This paper cites Link Prediction Based on Graph Neural Networks.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Link Prediction Based on Graph Neural Networks

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:57.338769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fb2b9bb-2758-4d91-bdc8-85307ab7a811 · outbound

This paper cites Why are Visually-Grounded Language Models Bad at Image Classification?.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Why are Visually-Grounded Language Models Bad at Image Classification?

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:57.345045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 685f869f-e7bc-4de9-9059-9fbdf4b8a96e · outbound

This paper cites Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:57.327620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 329d2f69-bb79-4b6a-913e-2bc282d57a48 · outbound

This paper cites DynaMath: A dynamic visual benchmark for evaluating mathematical reasoning robustness of vision language models.arXiv [cs.CV], October 2024.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models DynaMath: A dynamic visual benchmark for evaluating mathematical reasoning robustness of vision language models.arXiv [cs.CV], October 2024

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:52:59.139893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ba719b03-d1d1-4b97-812a-16b2a7b00899 · outbound

This paper cites A Survey on the Memory Mechanism of Large Language Model based Agents.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models A Survey on the Memory Mechanism of Large Language Model based Agents

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:57.350538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44b43596-1568-4c1a-84f5-61edf5eaa651 · outbound

This paper cites The goal is to answer the question: How many nodes and edges are in the image?↪→.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models The goal is to answer the question: How many nodes and edges are in the image?↪→

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:52:59.117234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5757b3c8-e9ba-44e0-b1de-3dadd0e2c314 · outbound

This paper cites total_nodes.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models total_nodes

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:52:59.097833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 17cb1f26-a80e-4888-b62c-4052540af32f · outbound

This paper cites - Count each unique node you see.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models - Count each unique node you see

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:52:59.076054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5cc73319-0e81-443d-970f-ab9dec0e62b6 · outbound

This paper cites - Count each unique edge you see.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models - Count each unique edge you see

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:52:59.057144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1b264ca9-3a2f-492d-bedb-e3b09427f016 · outbound

This paper cites - Report the total number of edges.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models - Report the total number of edges

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:52:59.031051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9ec624b2-4b0d-4b4a-bf81-ebb276150abc · outbound

This paper cites total_nodes.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models total_nodes

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:52:59.005023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 89a42431-d45b-4d96-beb3-3cfec4197648 · outbound

This paper cites shortest_path.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models shortest_path

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:52:58.982970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1f597332-b73e-4daf-aaa1-21cbad76937b · outbound

This paper cites an unresolved cited work.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Unresolved cited work

Reference 2008

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:57.234236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e618a56-0347-42f7-aeec-bbbd87a2317c · outbound

This paper cites Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking

Reference 2023

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:52:58.699023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0e8c0c39-0080-43a6-ba10-0c582ecd4dd2 · outbound

This paper cites Self-Reflection in LLM Agents: Effects on Problem-Solving Performance.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Self-Reflection in LLM Agents: Effects on Problem-Solving Performance

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:57.161584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers