Language Model as Visual Explainer | Paper Citation Record

Observation d287122b-39f3-4d6e-a10b-b317f101a046 · outbound

This paper cites Quantifying attention flow in transformers.

Language Model as Visual Explainer Quantifying attention flow in transformers

Reference 1

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Observation 39d05a9e-8ba5-4f39-b5cf-b779a25fefd2 · outbound

This paper cites Flamingo: a visual language model for few-shot learning.

Language Model as Visual Explainer Flamingo: a visual language model for few-shot learning

Reference 2

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Observation 95726ec4-976d-423a-9fb5-70ad5a1eba6d · outbound

This paper cites Flamingo: a visual language model for few-shot learning.

Language Model as Visual Explainer Flamingo: a visual language model for few-shot learning

Reference 3

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Observation 3cfbc6dc-c9dd-4010-8d77-2815001a1e52 · outbound

This paper cites Learning to Compose Neural Networks for Question Answering.

Language Model as Visual Explainer Learning to Compose Neural Networks for Question Answering

Reference 4

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Observation 8799e7bb-ec1d-4fee-b375-ed5f7e4fdd54 · outbound

This paper cites Neural module networks.

Language Model as Visual Explainer Neural module networks

Reference 5

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Observation 8b3f5dae-c2c0-492c-b403-16a6aae8ca91 · outbound

This paper cites A survey on tree edit distance and related problems.

Language Model as Visual Explainer A survey on tree edit distance and related problems

Reference 6

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Observation b455b4df-91ec-465a-b011-28148c6c7fc6 · outbound

This paper cites e-snli: Natural language inference with natural language explanations.

Language Model as Visual Explainer e-snli: Natural language inference with natural language explanations

Reference 7

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Observation 96fda153-dd83-4efd-9e5d-1afc153ea96a · outbound

This paper cites Unsuper- vised learning of visual features by contrasting cluster assignments.

Language Model as Visual Explainer Unsuper- vised learning of visual features by contrasting cluster assignments

Reference 8

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Observation 7911599c-7388-42df-82a7-220beac16e7d · outbound

This paper cites Emerging properties in self-supervised vision transformers.

Language Model as Visual Explainer Emerging properties in self-supervised vision transformers

Reference 9

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Observation 5eb792cf-97ab-4db0-8586-2e91e8859ada · outbound

This paper cites This looks like that: deep learning for interpretable image recognition.

Language Model as Visual Explainer This looks like that: deep learning for interpretable image recognition

Reference 10

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Observation 59f2b850-1e45-405a-97e8-4fb377fd551a · outbound

This paper cites A simple framework for contrastive learning of visual representations.

Language Model as Visual Explainer A simple framework for contrastive learning of visual representations

Reference 11

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Observation 55f551ae-40ae-4e7a-815a-05f229841883 · outbound

This paper cites Improved Baselines with Momentum Contrastive Learning.

Language Model as Visual Explainer Improved Baselines with Momentum Contrastive Learning

Reference 12

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Observation 15fc1976-a297-4000-94ef-8463dbc12913 · outbound

This paper cites An Empirical Study of Training Self-Supervised Vision Transformers.

Language Model as Visual Explainer An Empirical Study of Training Self-Supervised Vision Transformers

Reference 13

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Observation b6b286e1-989a-46ef-915f-63137bbc7115 · outbound

This paper cites Self-born wiring for neural trees.

Language Model as Visual Explainer Self-born wiring for neural trees

Reference 14

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Observation a701826f-1b2c-4863-ab54-7c1ac9c81648 · outbound

This paper cites Whatever next? predictive brains, situated agents, and the future of cognitive science.

Language Model as Visual Explainer Whatever next? predictive brains, situated agents, and the future of cognitive science

Reference 15

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Observation 94f491c4-af0e-42f5-b9c0-fab256aa3d4d · outbound

This paper cites Nearest neighbor pattern classification.

Language Model as Visual Explainer Nearest neighbor pattern classification

Reference 16

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Observation d19211e6-aed5-496c-8bdc-3b39e9bff659 · outbound

This paper cites Extracting tree-structured representations of trained networks.

Language Model as Visual Explainer Extracting tree-structured representations of trained networks

Reference 17

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Observation 254d7648-fe50-4343-8479-08f52bbff4b8 · outbound

This paper cites Improved Regularization of Convolutional Neural Networks with Cutout.

Language Model as Visual Explainer Improved Regularization of Convolutional Neural Networks with Cutout

Reference 18

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Observation e55fb3a2-fa2a-43a9-92c0-f58f3b33f9ce · outbound

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

Language Model as Visual Explainer An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 19

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Observation d183024a-fbb9-4b87-bc80-c8d6712adc51 · outbound

This paper cites wordnet: WordNet Interface, 2023.

Language Model as Visual Explainer wordnet: WordNet Interface, 2023

Reference 20

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Observation 012822fd-03b4-4dd3-a51a-23ead1a45097 · outbound

This paper cites Distilling a Neural Network Into a Soft Decision Tree.

Language Model as Visual Explainer Distilling a Neural Network Into a Soft Decision Tree

Reference 21

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Observation b454b4d0-4f0d-4ba8-a340-5607468f3aa5 · outbound

This paper cites Interpreting CLIP’s image representation via text-based decomposition.

Language Model as Visual Explainer Interpreting CLIP’s image representation via text-based decomposition

Reference 22

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Observation 38a8b640-f69e-416d-bd00-8b8fbc7202c3 · outbound

This paper cites Wichmann, and Wieland Brendel.

Language Model as Visual Explainer Wichmann, and Wieland Brendel

Reference 23

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Observation c05fffe8-217d-4bb1-ae20-a7539849dfd8 · outbound

This paper cites Bootstrap your own latent-a new approach to self-supervised learning.

Language Model as Visual Explainer Bootstrap your own latent-a new approach to self-supervised learning

Reference 24

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Observation a467ee9f-2e36-41dd-b523-95bcc042a8fd · outbound

This paper cites Visual Programming: Compositional visual reasoning without training.

Language Model as Visual Explainer Visual Programming: Compositional visual reasoning without training

Reference 25

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Observation 34d9927d-d889-4699-ab40-68a0690e5450 · outbound

This paper cites Deep residual learning for image recognition.

Language Model as Visual Explainer Deep residual learning for image recognition

Reference 26

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Observation 1ec714f3-b8f4-4f4d-9a5f-2fc5a24b5949 · outbound

This paper cites Generating visual explanations.

Language Model as Visual Explainer Generating visual explanations

Reference 27

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Observation d4bd6ceb-9a4a-4779-be0e-2d603b189fa2 · outbound

This paper cites Learning to reason: End-to-end module networks for visual question answering.

Language Model as Visual Explainer Learning to reason: End-to-end module networks for visual question answering

Reference 28

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Observation 2dc95556-449f-4d10-b2bc-77c303b2b2a1 · outbound

This paper cites Densely connected convolutional networks.

Language Model as Visual Explainer Densely connected convolutional networks

Reference 29

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Observation 7ccf9fff-0da3-489c-a83d-de2b9d98a65b · outbound

This paper cites Prototype optimization for nearest-neighbor classification.

Language Model as Visual Explainer Prototype optimization for nearest-neighbor classification

Reference 30

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Observation d21f87c6-4756-40f4-90ea-1d51f7de122b · outbound

This paper cites Discovering states and transformations in image collections.

Language Model as Visual Explainer Discovering states and transformations in image collections

Reference 31

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Observation 3ded331e-ef42-4fac-86a6-d99907bf4846 · outbound

This paper cites Hierarchical mixtures of experts and the em algorithm.

Language Model as Visual Explainer Hierarchical mixtures of experts and the em algorithm

Reference 32

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Observation 765281fe-6245-4c87-9969-b1c189fdd3bc · outbound

This paper cites On the approximability of the maximum common subgraph problem.

Language Model as Visual Explainer On the approximability of the maximum common subgraph problem

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:07:36.427322Z

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Observation e1cc92bf-e41a-4799-bc28-a39dd6ba99bb · outbound

This paper cites Proto2proto: Can you recognize the car, the way i do? In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 10233–10243, 2022.

Language Model as Visual Explainer Proto2proto: Can you recognize the car, the way i do? In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 10233–10243, 2022

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:07:36.413594Z

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Observation a9717e46-6a52-4db7-95df-01a4b0de8f11 · outbound

This paper cites Textual explanations for self-driving vehicles.

Language Model as Visual Explainer Textual explanations for self-driving vehicles

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:07:36.389746Z

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Observation 3990665d-1a60-4a5d-a354-77c68c343551 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Language Model as Visual Explainer Adam: A Method for Stochastic Optimization

Reference 36

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Observation 3ea3b2fc-549e-4109-a1b8-0b5f0728473c · outbound

This paper cites Learning vector quantization.

Language Model as Visual Explainer Learning vector quantization

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:07:36.376657Z

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Observation 456c27d8-7660-46a8-b40b-dee51f2cf49e · outbound

This paper cites Deep neural decision forests.

Language Model as Visual Explainer Deep neural decision forests

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:07:36.363106Z

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Observation dc620ac5-fbfc-4293-9d18-ca252cb039fb · outbound

This paper cites Learning multiple layers of features from tiny images.

Language Model as Visual Explainer Learning multiple layers of features from tiny images

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T20:07:35.095714Z

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Observation 24a6a57f-607b-423b-84e4-5c516f71967d · outbound

This paper cites Deep learning for case-based reasoning through prototypes: A neural network that explains its predictions.

Language Model as Visual Explainer Deep learning for case-based reasoning through prototypes: A neural network that explains its predictions

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:07:36.343178Z

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Observation 1613ff92-fa76-4d97-8d20-87ad7328ddc3 · outbound

This paper cites Vqa-e: Explaining, elaborating, and enhancing your answers for visual questions.

Language Model as Visual Explainer Vqa-e: Explaining, elaborating, and enhancing your answers for visual questions

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:07:36.330172Z

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Observation 482986b5-fc79-47aa-9a3b-f5ea1886c9ef · outbound

This paper cites A systematic investigation of commonsense knowledge in large language models.

Language Model as Visual Explainer A systematic investigation of commonsense knowledge in large language models

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:07:36.316551Z

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Observation d30e0b5d-2d1d-474a-8fa8-f127ab2ca0a4 · outbound

This paper cites TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs.

Language Model as Visual Explainer TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T20:07:35.112532Z

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Observation 7aac7962-0107-4667-97c2-dc3c0ddbdc42 · outbound

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

Language Model as Visual Explainer Visual instruction tuning.Advances in neural information processing systems, 36, 2024

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T20:07:35.116877Z

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Observation 45362e95-15fb-4c89-8693-8ec203febe44 · outbound

This paper cites What Makes Good In-Context Examples for GPT-$3$?.

Language Model as Visual Explainer What Makes Good In-Context Examples for GPT-$3$?

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T20:07:35.121142Z

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Observation 2f8bbb6b-aecb-4b68-82e5-60a2859a1b70 · outbound

This paper cites A unified approach to interpreting model predictions.

Language Model as Visual Explainer A unified approach to interpreting model predictions

Reference 46

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Observation 2ebb5d5d-09f0-449e-9592-09ef74a9d582 · outbound

This paper cites Doubly Right Object Recognition: A Why Prompt for Visual Rationales.

Language Model as Visual Explainer Doubly Right Object Recognition: A Why Prompt for Visual Rationales

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T20:07:35.129760Z

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Observation ee22d62d-df0f-4d87-aa44-982c70adb750 · outbound

This paper cites Visual Classification via Description from Large Language Models.

Language Model as Visual Explainer Visual Classification via Description from Large Language Models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-11T20:07:35.133678Z

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Observation a0795a4b-191d-4a6d-b6cd-e956b2da3e05 · outbound

This paper cites Neural prototype trees for interpretable fine-grained im- age recognition.

Language Model as Visual Explainer Neural prototype trees for interpretable fine-grained im- age recognition

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:07:36.287197Z

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Observation 9eec07fe-0fe0-466c-9fb3-754417b9198a · outbound

This paper cites Coco attributes: Attributes for people, animals, and objects.

Language Model as Visual Explainer Coco attributes: Attributes for people, animals, and objects

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:07:36.274560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1b7d59e7-9bb8-4097-b7cd-e17e2d047650 · outbound

This paper cites Xplainer: From X-Ray Observations to Explainable Zero-Shot Diagnosis.

Language Model as Visual Explainer Xplainer: From X-Ray Observations to Explainable Zero-Shot Diagnosis

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-08-11T20:07:35.547233Z

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Observation 5871c619-2400-4e97-b4cb-bed5fdccaf16 · outbound

This paper cites Learning to predict visual attributes in the wild.

Language Model as Visual Explainer Learning to predict visual attributes in the wild

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:07:36.261771Z

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Observation fed01b56-a9b5-41bd-b631-c15969f2efa3 · outbound

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

Language Model as Visual Explainer Learning transferable visual models from natural language supervision

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-11T20:07:35.153673Z

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Observation 87a05ac6-7a06-4738-9e24-10d78c3542b7 · outbound

This paper cites Maximum common subgraph isomorphism algorithms for the matching of chemical structures.

Language Model as Visual Explainer Maximum common subgraph isomorphism algorithms for the matching of chemical structures

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:07:36.239504Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7f07c63c-e633-467a-86ff-2c4ce46c6727 · outbound

This paper cites why should I trust you?.

Language Model as Visual Explainer why should I trust you?

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:07:36.227167Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ab3ff483-422b-4ab0-ae01-c0c90f4be7d7 · outbound

This paper cites High-resolution image synthesis with latent diffusion models, 2021.

Language Model as Visual Explainer High-resolution image synthesis with latent diffusion models, 2021

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-11T20:07:35.165699Z

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Observation 1367e644-4475-43c6-8553-4cb2f0d55192 · outbound

This paper cites Imagenet large scale visual recognition challenge.

Language Model as Visual Explainer Imagenet large scale visual recognition challenge

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:07:36.205510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0c1c8e91-b93b-4b96-aba5-6f268e79efd6 · outbound

This paper cites Protopshare: Prototypical parts sharing for similarity discovery in interpretable image classification.

Language Model as Visual Explainer Protopshare: Prototypical parts sharing for similarity discovery in interpretable image classification

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-11T20:07:35.173384Z

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Observation ee74399c-0b27-40fa-8266-52c954aedcdd · outbound

This paper cites Mobilenetv2: Inverted residuals and linear bottlenecks.

Language Model as Visual Explainer Mobilenetv2: Inverted residuals and linear bottlenecks

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-11T20:07:35.178023Z

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Observation 000088e9-98c3-4e6d-8457-398c45b882f8 · outbound

This paper cites Rule extraction from neural networks via decision tree induction.

Language Model as Visual Explainer Rule extraction from neural networks via decision tree induction

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:07:36.175606Z

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Observation ab04397f-8eec-458d-99a3-371d72371518 · outbound

This paper cites Toolformer: Language Models Can Teach Themselves to Use Tools.

Language Model as Visual Explainer Toolformer: Language Models Can Teach Themselves to Use Tools

Reference 61

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Observation 0dfa9e74-b922-4476-92ce-91eda4cefb69 · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization.

Language Model as Visual Explainer Grad-cam: Visual explanations from deep networks via gradient-based localization

Reference 62

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Observation 408783c6-f5d1-429b-89b4-e392b4dc34c6 · outbound

This paper cites HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face.

Language Model as Visual Explainer HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-11T20:07:35.195048Z

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Observation c8c8a90e-a304-461c-82b0-1225f4334e74 · outbound

This paper cites Learning important features through propagat- ing activation differences.

Language Model as Visual Explainer Learning important features through propagat- ing activation differences

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:07:36.154542Z

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Observation 4f432585-f6bb-495c-8a8a-cc68b2dd27e9 · outbound

This paper cites Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps.

Language Model as Visual Explainer Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-11T20:07:35.204022Z

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Observation fc6285cf-3876-41d7-b0ad-8bc420027a4e · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Language Model as Visual Explainer Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-11T20:07:35.208656Z

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Unavailable: canonical work link unavailable.

Observation c1fa96b2-3b1d-47ee-95ce-b36cd698130d · outbound

This paper cites James Murdoch, and Bin Yu.

Language Model as Visual Explainer James Murdoch, and Bin Yu

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:07:36.142062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d5415e60-4b4e-43a4-820d-72ab50358e66 · outbound

This paper cites SmoothGrad: removing noise by adding noise.

Language Model as Visual Explainer SmoothGrad: removing noise by adding noise

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-11T20:07:35.216835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32855f1d-5339-4a54-8be9-015b75b3c3eb · outbound

This paper cites Prototypical networks for few-shot learning.

Language Model as Visual Explainer Prototypical networks for few-shot learning

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-11T20:07:35.220974Z

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Observation 2b294a20-ba62-4f81-9cba-0fcb49a3bab9 · outbound

This paper cites Neural trees-using neural nets in a tree classifier structure.

Language Model as Visual Explainer Neural trees-using neural nets in a tree classifier structure

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:07:36.119510Z

Source-reported events for the cited work

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Observation d7653afb-1897-4bf0-a6cc-bb2398cf34b6 · outbound

This paper cites Tree sequence kernel for natural language.

Language Model as Visual Explainer Tree sequence kernel for natural language

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:07:36.106327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bd7b5a49-b624-4520-b810-c33b085fca85 · outbound

This paper cites Going deeper with convolutions.

Language Model as Visual Explainer Going deeper with convolutions

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-11T20:07:35.232239Z

Source-reported events for the cited work

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Observation 223dc767-76cf-4ada-868d-df7a0ca15087 · outbound

This paper cites Rethinking the inception architecture for computer vision.

Language Model as Visual Explainer Rethinking the inception architecture for computer vision

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-11T20:07:35.236073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0e2e079-4e5b-4db8-b637-e095d8f0c257 · outbound

This paper cites Visual correspondence-based explanations improve ai robustness and human-ai team accuracy.

Language Model as Visual Explainer Visual correspondence-based explanations improve ai robustness and human-ai team accuracy

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:07:36.075258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 121342dc-954d-4434-ae29-90744e4c7f44 · outbound

This paper cites Adaptive neural trees.

Language Model as Visual Explainer Adaptive neural trees

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:07:36.060849Z

Source-reported events for the cited work

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Observation 52ea45d8-eea2-4a02-93b6-1a4eaaf3138a · outbound

This paper cites an unresolved cited work.

Language Model as Visual Explainer Unresolved cited work

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-11T20:07:35.247420Z

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Unavailable: canonical work link unavailable.

Observation b9446a37-73e3-4187-a810-1ef73f073e60 · outbound

This paper cites NBDT: Neural-Backed Decision Trees.

Language Model as Visual Explainer NBDT: Neural-Backed Decision Trees

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-11T20:07:35.251283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9f7b7d7-cc84-4119-baed-714e8e1753ba · outbound

This paper cites Chestx-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases.

Language Model as Visual Explainer Chestx-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-11T20:07:35.255610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba2397b0-19e5-4056-ba89-d2f04f01093a · outbound

This paper cites A tree-based decoder for neural machine translation.

Language Model as Visual Explainer A tree-based decoder for neural machine translation

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:07:36.025760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dde06ef2-8311-47b9-98ff-33916e4441a2 · outbound

This paper cites MedCLIP: Contrastive Learning from Unpaired Medical Images and Text.

Language Model as Visual Explainer MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-11T20:07:35.264243Z

Source-reported events for the cited work

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Observation 3ad0d013-b7ac-47e1-b349-929c8d6a8f22 · outbound

This paper cites Zero-shot learning—a compre- hensive evaluation of the good, the bad and the ugly.

Language Model as Visual Explainer Zero-shot learning—a compre- hensive evaluation of the good, the bad and the ugly

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-11T20:07:35.269179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bad459e-d433-470b-bb02-a03e20c937f6 · outbound

This paper cites Attribute prototype network for zero-shot learning.

Language Model as Visual Explainer Attribute prototype network for zero-shot learning

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:07:35.997304Z

Source-reported events for the cited work

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Observation 238cfb74-64f7-467d-b679-71025aad6e47 · outbound

This paper cites Factorizing knowledge in neural networks.

Language Model as Visual Explainer Factorizing knowledge in neural networks

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:07:35.981894Z

Source-reported events for the cited work

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Observation 019fd634-aa22-4e7d-86d5-d88f70d79f1f · outbound

This paper cites Deep model reassembly.

Language Model as Visual Explainer Deep model reassembly

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-11T20:07:35.282678Z

Source-reported events for the cited work

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Observation 9c9a57d8-6ce2-43f1-b2d4-e73d6d6d3f38 · outbound

This paper cites Deep Neural Decision Trees.

Language Model as Visual Explainer Deep Neural Decision Trees

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-11T20:07:35.288080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab3045e6-3680-4036-bae6-a84d8bb34101 · outbound

This paper cites Language in a bottle: Language model guided concept bottlenecks for interpretable image classification.

Language Model as Visual Explainer Language in a bottle: Language model guided concept bottlenecks for interpretable image classification

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:07:35.949256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7b9ca1a5-f80f-417e-b28e-f073de009633 · outbound

This paper cites MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action.

Language Model as Visual Explainer MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-11T20:07:35.297119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ecfed26-821e-43ee-858d-9eff72c03f60 · outbound

This paper cites Representer point selection for explaining deep neural networks.

Language Model as Visual Explainer Representer point selection for explaining deep neural networks

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:07:35.935637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 23a6f7d5-9969-42e5-9246-297f4428407e · outbound

This paper cites Neural- symbolic vqa: Disentangling reasoning from vision and language understanding.

Language Model as Visual Explainer Neural- symbolic vqa: Disentangling reasoning from vision and language understanding

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:07:35.921677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 62beda2f-1292-4c70-8aed-56a1a4065caa · outbound

This paper cites Visualizing and understanding convolutional networks.

Language Model as Visual Explainer Visualizing and understanding convolutional networks

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-11T20:07:35.309562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73d66753-5129-464a-bb72-60d2d4e26ff7 · outbound

This paper cites Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language.

Language Model as Visual Explainer Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-11T20:07:35.313817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9db7e0eb-7e5b-4419-be83-dcdc2797d95e · outbound

This paper cites Use all the labels: A hierarchical multi-label contrastive learning framework.

Language Model as Visual Explainer Use all the labels: A hierarchical multi-label contrastive learning framework

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:07:35.898108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 55f368ce-dd45-4271-b6ef-3433280562ce · outbound

This paper cites Diagnosing and rectifying vision models using language.

Language Model as Visual Explainer Diagnosing and rectifying vision models using language

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:07:35.882378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 04b7c9f0-dc56-4db6-9cd3-2e96ebbe2408 · outbound

This paper cites Evolutionary design of neural network tree-integration of decision tree, neural network and ga.

Language Model as Visual Explainer Evolutionary design of neural network tree-integration of decision tree, neural network and ga

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:07:35.867501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9d66f4cc-8b04-48ad-9120-5bd7c8c4f8c1 · outbound

This paper cites Evaluating commonsense in pre-trained language models.

Language Model as Visual Explainer Evaluating commonsense in pre-trained language models

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:07:35.854722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f0d54ef9-b2c5-4724-b7ea-c3a8cc0e0af4 · outbound

This paper cites Deepred–rule extraction from deep neural networks.

Language Model as Visual Explainer Deepred–rule extraction from deep neural networks

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:07:35.841264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d0e55e4c-82d2-4c0c-93a1-8e4bbd0531b2 · outbound

This paper cites In this first step, we utilized ChatGPT 4 to generate initial attribute trees for each class with the category name, detailed Section 3.1.

Language Model as Visual Explainer In this first step, we utilized ChatGPT 4 to generate initial attribute trees for each class with the category name, detailed Section 3.1

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:07:35.829073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 14b0e640-0850-44a6-b0e3-002798340b66 · outbound

This paper cites To determine whether an attribute was present or absent in an image, we employed an ensemble of predictions from multiple CLIP [53] models 5.

Language Model as Visual Explainer To determine whether an attribute was present or absent in an image, we employed an ensemble of predictions from multiple CLIP [53] models 5

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:07:35.815519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9af1c2fe-9c1d-4526-8a32-275d0c750f35 · outbound

This paper cites crane” could represent either a construction machine or a bird, leading to ambiguity. Furthermore, an image described as “a dog with a long tail.

Language Model as Visual Explainer crane” could represent either a construction machine or a bird, leading to ambiguity. Furthermore, an image described as “a dog with a long tail

Reference 99

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T20:07:35.801610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation de991cee-695d-4af1-bf63-91fbf7ed9df8 · outbound

This paper cites an unresolved cited work.

Language Model as Visual Explainer Unresolved cited work

Reference 100

Resolution: unresolved; raw_fallback, observed 2026-08-11T20:07:35.786802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Reference resolution

Outbound references

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