Zero-Shot Textual Explanations via Translating Decision-Critical Features | Paper Citation Record

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This paper cites GPT-4 Technical Report.

Zero-Shot Textual Explanations via Translating Decision-Critical Features GPT-4 Technical Report

Reference 1

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

Zero-Shot Textual Explanations via Translating Decision-Critical Features Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 2

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This paper cites Network Dissection: Quantifying Inter- pretability of Deep Visual Representations.

Zero-Shot Textual Explanations via Translating Decision-Critical Features Network Dissection: Quantifying Inter- pretability of Deep Visual Representations

Reference 3

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This paper cites Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE).

Zero-Shot Textual Explanations via Translating Decision-Critical Features Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE)

Reference 4

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This paper cites Emerg- ing properties in self-supervised vision transformers.

Zero-Shot Textual Explanations via Translating Decision-Critical Features Emerg- ing properties in self-supervised vision transformers

Reference 5

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This paper cites Devil: Decoding vision features into language.

Zero-Shot Textual Explanations via Translating Decision-Critical Features Devil: Decoding vision features into language

Reference 6

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This paper cites Imagenet: A large-scale hierarchical im- age database.

Zero-Shot Textual Explanations via Translating Decision-Critical Features Imagenet: A large-scale hierarchical im- age database

Reference 7

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Observation abed1ef0-0fbd-411f-b212-8a4fb4f87bd2 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Zero-Shot Textual Explanations via Translating Decision-Critical Features An image is worth 16x16 words: Transformers for image recognition at scale

Reference 8

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Zero-Shot Textual Explanations via Translating Decision-Critical Features Unresolved cited work

Reference 9

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Observation 35f5fa54-9fef-4854-bf3e-f69cae7bbf4b · outbound

This paper cites Unlocking feature visualiza- tion for deep network with MAgnitude constrained optimiza- tion.

Zero-Shot Textual Explanations via Translating Decision-Critical Features Unlocking feature visualiza- tion for deep network with MAgnitude constrained optimiza- tion

Reference 10

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This paper cites A holistic approach to unifying automatic concept extraction and concept importance estimation.

Zero-Shot Textual Explanations via Translating Decision-Critical Features A holistic approach to unifying automatic concept extraction and concept importance estimation

Reference 11

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Observation ab909cb9-ac63-4445-a1a5-8878a040cb01 · outbound

This paper cites Craft: Concept recursive activation factori za- tion for explainability.

Zero-Shot Textual Explanations via Translating Decision-Critical Features Craft: Concept recursive activation factori za- tion for explainability

Reference 12

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Observation c1145d9e-2732-4945-b503-3d59583b6adb · outbound

This paper cites Scaling and evaluating sparse autoencoders.

Zero-Shot Textual Explanations via Translating Decision-Critical Features Scaling and evaluating sparse autoencoders

Reference 13

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This paper cites Vital: More understandable feature visualization through distri bu- tion alignment and relevant information ﬂow.

Zero-Shot Textual Explanations via Translating Decision-Critical Features Vital: More understandable feature visualization through distri bu- tion alignment and relevant information ﬂow

Reference 14

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Observation bd10744c-a12a-4228-866b-cf24d57ec56c · outbound

This paper cites Deep Residual Learning for Image Recognition.

Zero-Shot Textual Explanations via Translating Decision-Critical Features Deep Residual Learning for Image Recognition

Reference 15

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Observation b8611c71-0b31-4968-be1a-88ec8761143e · outbound

This paper cites Generating vi- sual explanations.

Zero-Shot Textual Explanations via Translating Decision-Critical Features Generating vi- sual explanations

Reference 16

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Observation e18c0e9c-d877-4e59-8ddd-4b174956d836 · outbound

This paper cites Natural language descriptions of deep visual features.

Zero-Shot Textual Explanations via Translating Decision-Critical Features Natural language descriptions of deep visual features

Reference 17

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Observation 49b2a44d-3161-48c4-ba9e-a4d83234ce59 · outbound

This paper cites CLIPScore: A reference-free evaluation metric for image captioning.

Zero-Shot Textual Explanations via Translating Decision-Critical Features CLIPScore: A reference-free evaluation metric for image captioning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:10:28.366237Z

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Observation 338ab40c-b0b5-4bfc-9239-fff7a4aa9b74 · outbound

This paper cites Iandola, Song Han, Matthew W.

Zero-Shot Textual Explanations via Translating Decision-Critical Features Iandola, Song Han, Matthew W

Reference 19

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Observation 1796430a-7636-4b9d-8f52-bb5db81be45f · outbound

This paper cites Comparing th e decision-making mechanisms by transformers and cnns via explanation methods.

Zero-Shot Textual Explanations via Translating Decision-Critical Features Comparing th e decision-making mechanisms by transformers and cnns via explanation methods

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:10:28.334500Z

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This paper cites C ai, James Wexler, Fernanda B.

Zero-Shot Textual Explanations via Translating Decision-Critical Features C ai, James Wexler, Fernanda B

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:10:28.310491Z

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Observation 88451f0f-c001-45ca-b845-949b7529495d · outbound

This paper cites Concept bottleneck models.

Zero-Shot Textual Explanations via Translating Decision-Critical Features Concept bottleneck models

Reference 22

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Observation 62b0fb03-625c-4d00-9d1c-cbd5bf777122 · outbound

This paper cites Imagenet classiﬁcation with deep convolutional neural net - works.

Zero-Shot Textual Explanations via Translating Decision-Critical Features Imagenet classiﬁcation with deep convolutional neural net - works

Reference 23

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This paper cites BLIP: Bootstrapping language-image pre-training for uniﬁ ed vision-language understanding and generation.

Zero-Shot Textual Explanations via Translating Decision-Critical Features BLIP: Bootstrapping language-image pre-training for uniﬁ ed vision-language understanding and generation

Reference 24

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This paper cites Visual instruction tuning.

Zero-Shot Textual Explanations via Translating Decision-Critical Features Visual instruction tuning

Reference 25

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This paper cites Hybrid concept bot- tleneck models.

Zero-Shot Textual Explanations via Translating Decision-Critical Features Hybrid concept bot- tleneck models

Reference 26

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Observation c3648d86-f94d-4ae7-83d6-0da0c904d923 · outbound

This paper cites Lundberg and Su-In Lee.

Zero-Shot Textual Explanations via Translating Decision-Critical Features Lundberg and Su-In Lee

Reference 27

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Observation 729eb29a-5391-4130-9942-aa27f481da2a · outbound

This paper cites Visual classiﬁcation v ia description from large language models.

Zero-Shot Textual Explanations via Translating Decision-Critical Features Visual classiﬁcation v ia description from large language models

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:10:28.259888Z

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Observation 970c258e-7cb0-4266-8703-c211dc181f1f · outbound

This paper cites Text-to-concept (and back) via cross-model alignment.

Zero-Shot Textual Explanations via Translating Decision-Critical Features Text-to-concept (and back) via cross-model alignment

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:10:28.250183Z

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Observation 11c370b8-15b7-4839-be18-1b19db6e96ba · outbound

This paper cites Synthesizing the preferred inputs for neurons in neural networks via deep generator net- works.

Zero-Shot Textual Explanations via Translating Decision-Critical Features Synthesizing the preferred inputs for neurons in neural networks via deep generator net- works

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:10:28.252281Z

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Observation cdf7ce62-fe26-4a18-90ff-3d903975b9ea · outbound

This paper cites Bengio, Alexey Dosovitskiy,and Jason Y osinski.

Zero-Shot Textual Explanations via Translating Decision-Critical Features Bengio, Alexey Dosovitskiy,and Jason Y osinski

Reference 31

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This paper cites Nguyen, and Tsui- Wei Weng.

Zero-Shot Textual Explanations via Translating Decision-Critical Features Nguyen, and Tsui- Wei Weng

Reference 32

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This paper cites Oikarinen and Tsui-Wei Weng.

Zero-Shot Textual Explanations via Translating Decision-Critical Features Oikarinen and Tsui-Wei Weng

Reference 33

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This paper cites Feature visualization.

Zero-Shot Textual Explanations via Translating Decision-Critical Features Feature visualization

Reference 34

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Observation 7cfcc1be-f553-4ccc-9dfc-875d14d62166 · outbound

This paper cites Gpt-3.5 turbo models.

Zero-Shot Textual Explanations via Translating Decision-Critical Features Gpt-3.5 turbo models

Reference 35

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Zero-Shot Textual Explanations via Translating Decision-Critical Features Unresolved cited work

Reference 36

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Observation b424e9e1-07d9-4b29-9c62-ffb9f94e168b · outbound

This paper cites Multimodal explanations: Justifying deci- sions and pointing to the evidence.

Zero-Shot Textual Explanations via Translating Decision-Critical Features Multimodal explanations: Justifying deci- sions and pointing to the evidence

Reference 37

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Observation 7b1c746d-dc8d-4a9e-9103-55396b12fa81 · outbound

This paper cites Language models are unsuper- vised multitask learners.

Zero-Shot Textual Explanations via Translating Decision-Critical Features Language models are unsuper- vised multitask learners

Reference 38

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Observation f279d46a-1f9e-4ef6-a770-694aca5927ab · outbound

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

Zero-Shot Textual Explanations via Translating Decision-Critical Features Learning transferable visual models from natural language supervision

Reference 39

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Observation 026a5e56-7fd8-4396-b27a-20e8fbaa9be0 · outbound

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

Zero-Shot Textual Explanations via Translating Decision-Critical Features Learning transferable visual models from natural language supervision

Reference 40

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Observation 96576e62-74e2-41c1-86c3-4a6cbd65eac1 · outbound

This paper cites Do vision trans- formers see like convolutional neural networks? In Advances in Neural Information Processing Systems (NeurIPS) , pages 12116–12128.

Zero-Shot Textual Explanations via Translating Decision-Critical Features Do vision trans- formers see like convolutional neural networks? In Advances in Neural Information Processing Systems (NeurIPS) , pages 12116–12128

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:10:28.287654Z

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Observation 2e7fc5bd-0e95-4d04-820e-3324c4ac3fde · outbound

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

Zero-Shot Textual Explanations via Translating Decision-Critical Features High-resolution image synthesis with latent diffusion models

Reference 42

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Observation 73aa0729-e85e-42ad-833c-8c9d955db5cd · outbound

This paper cites Sophia Koepke, Hendrik P.

Zero-Shot Textual Explanations via Translating Decision-Critical Features Sophia Koepke, Hendrik P

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:10:28.293548Z

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Observation e860c07a-736c-4698-be47-c9ae3e1e2a3b · outbound

This paper cites Uni-nlx: Unify- ing textual explanations for vision and vision-language tasks.

Zero-Shot Textual Explanations via Translating Decision-Critical Features Uni-nlx: Unify- ing textual explanations for vision and vision-language tasks

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:10:28.299404Z

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Observation 6fcb81cb-04b6-4820-b485-70a66279c2d2 · outbound

This paper cites Zero-shot natura l language explanations.

Zero-Shot Textual Explanations via Translating Decision-Critical Features Zero-shot natura l language explanations

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:10:28.295442Z

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Observation 1ca4ec6f-27b0-4a39-b5ef-6e7cc3cd428f · outbound

This paper cites Nlx-gpt: A model for natural language explanations in vision and vision-language tasks.

Zero-Shot Textual Explanations via Translating Decision-Critical Features Nlx-gpt: A model for natural language explanations in vision and vision-language tasks

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:10:28.297485Z

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This paper cites Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna V edantam, Devi Parikh, and Dhruv Ba- tra.

Zero-Shot Textual Explanations via Translating Decision-Critical Features Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna V edantam, Devi Parikh, and Dhruv Ba- tra

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:10:28.340513Z

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Observation 70f082cc-973b-45c4-a1f3-37f802cd2d3e · outbound

This paper cites Incremental residual con- cept bottleneck models.

Zero-Shot Textual Explanations via Translating Decision-Critical Features Incremental residual con- cept bottleneck models

Reference 48

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Observation ed30a937-bc8b-4022-8c7d-3936d2cb0c7b · outbound

This paper cites Conceptual captions: A cleaned, hypernymed, im- age alt-text dataset for automatic image captioning.

Zero-Shot Textual Explanations via Translating Decision-Critical Features Conceptual captions: A cleaned, hypernymed, im- age alt-text dataset for automatic image captioning

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:10:28.373582Z

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Observation f4fe8d55-d194-4612-bb73-1ead6dae3cab · outbound

This paper cites Rupprecht, and Andrea V eda ldi.

Zero-Shot Textual Explanations via Translating Decision-Critical Features Rupprecht, and Andrea V eda ldi

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:10:28.307006Z

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Observation e6722c12-4f89-4847-8625-cb9e1caaf57e · outbound

This paper cites Axiomat ic attribution for deep networks.

Zero-Shot Textual Explanations via Translating Decision-Critical Features Axiomat ic attribution for deep networks

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:10:28.305151Z

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Zero-Shot Textual Explanations via Translating Decision-Critical Features Qwen2.5-vl

Reference 52

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Zero-Shot Textual Explanations via Translating Decision-Critical Features Derpanis

Reference 53

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This paper cites Are Convolutional Neural Networks or Transformers more like human vision?.

Zero-Shot Textual Explanations via Translating Decision-Critical Features Are Convolutional Neural Networks or Transformers more like human vision?

Reference 54

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This paper cites Learning bottleneck concepts in image classiﬁca- tion.

Zero-Shot Textual Explanations via Translating Decision-Critical Features Learning bottleneck concepts in image classiﬁca- tion

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:10:28.273140Z

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This paper cites Score-cam: Score-weighted visual explanations for convolutional neu ral networks.

Zero-Shot Textual Explanations via Translating Decision-Critical Features Score-cam: Score-weighted visual explanations for convolutional neu ral networks

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:10:28.279389Z

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Zero-Shot Textual Explanations via Translating Decision-Critical Features Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 57

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

Zero-Shot Textual Explanations via Translating Decision-Critical Features Language in a bottle: Language model guided concept bottlenecks for interpretable image classiﬁcation

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:10:28.281415Z

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Observation 0174d7a8-f76f-49a8-8126-8ae70c0b0a89 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

Zero-Shot Textual Explanations via Translating Decision-Critical Features The unreasonable effectiveness of deep features as a perceptual metric

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:10:28.283489Z

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This paper cites Ehinger, and Benjamin I.

Zero-Shot Textual Explanations via Translating Decision-Critical Features Ehinger, and Benjamin I

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:10:28.369945Z

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Zero-Shot Textual Explanations via Translating Decision-Critical Features Unresolved cited work

Reference 61

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Zero-Shot Textual Explanations via Translating Decision-Critical Features Unresolved cited work

Reference 62

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Observation a57496b2-34b8-41fc-8367-654dfcd9dba0 · outbound

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Zero-Shot Textual Explanations via Translating Decision-Critical Features Unresolved cited work

Reference 65

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Observation b1153d30-645c-45c3-9503-5fc4f9f9f4c5 · outbound

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Zero-Shot Textual Explanations via Translating Decision-Critical Features Unresolved cited work

Reference 66

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Observation 2abd0789-2097-4a8a-9b41-85dd40984b85 · outbound

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Zero-Shot Textual Explanations via Translating Decision-Critical Features Unresolved cited work

Reference 67

Resolution: unresolved; raw_fallback, observed 2026-05-21T18:10:28.277329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1f12b52a-d2a2-4d49-a860-403c5ad72e98 · outbound

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Zero-Shot Textual Explanations via Translating Decision-Critical Features Unresolved cited work

Reference 68

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Observation 14212642-644d-45a3-b7b9-9f5c1a8d7bb9 · outbound

This paper cites a photo of {class name} show- ing T.

Zero-Shot Textual Explanations via Translating Decision-Critical Features a photo of {class name} show- ing T

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:10:28.265615Z

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Observation b07e4c09-a19a-40d5-aaa7-3b6a692c9793 · outbound

This paper cites bright orange coloration.

Zero-Shot Textual Explanations via Translating Decision-Critical Features bright orange coloration

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:10:28.267552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Reference resolution

Outbound references

Pith citing papers