Paper Citation Record · LEDGER

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model

As of 23 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 1 inbound Pith citation observation for arXiv:2506.23822.

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

pith.paper-citation-record.v1
2506.23822 v1

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Reference resolution

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External citation measurements

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Outbound references

Observation 40b413b2-a1a8-4381-a53c-ad456714f883 · outbound

This paper cites Label-embedding for image classification.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Label-embedding for image classification

Reference 1

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This paper cites Wasserstein generative adversarial networks.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Wasserstein generative adversarial networks

Reference 2

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This paper cites Food-101 - mining discriminative components with random forests.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Food-101 - mining discriminative components with random forests

Reference 3

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This paper cites PLOT: prompt learning with optimal transport for vision-language models.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model PLOT: prompt learning with optimal transport for vision-language models

Reference 4

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This paper cites Hsva: Hi- erarchical semantic-visual adaptation for zero-shot learning.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Hsva: Hi- erarchical semantic-visual adaptation for zero-shot learning

Reference 5

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Observation 29e7a758-0192-40e3-939b-71eb25c0a6f1 · outbound

This paper cites MSDN: mutually semantic distillation network for zero-shot learn- ing.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model MSDN: mutually semantic distillation network for zero-shot learn- ing

Reference 6

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This paper cites Transzero++: Cross attribute-guided transformer for zero-shot learning.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Transzero++: Cross attribute-guided transformer for zero-shot learning

Reference 7

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This paper cites Evolving semantic prototype improves generative zero-shot learning.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Evolving semantic prototype improves generative zero-shot learning

Reference 8

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This paper cites Khan, and Fa- had Shahbaz Khan.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Khan, and Fa- had Shahbaz Khan

Reference 9

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This paper cites Khan, and Fa- had Shahbaz Khan.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Khan, and Fa- had Shahbaz Khan

Reference 10

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This paper cites Semantics-conditioned generative zero-shot learning via fea- ture refinement.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Semantics-conditioned generative zero-shot learning via fea- ture refinement

Reference 11

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This paper cites Evolving interpretable visual classifiers with large language models.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Evolving interpretable visual classifiers with large language models

Reference 12

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This paper cites Sinkhorn distances: Lightspeed computation of optimal transport.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Sinkhorn distances: Lightspeed computation of optimal transport

Reference 13

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

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Imagenet: A large-scale hierarchical image database

Reference 14

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This paper cites Image2sentence based asymmetrical zero-shot composed image retrieval.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Image2sentence based asymmetrical zero-shot composed image retrieval

Reference 15

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This paper cites Improving clip training with language rewrites.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Improving clip training with language rewrites

Reference 16

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This paper cites Diverse data augmentation with diffusions for effective test-time prompt tuning.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Diverse data augmentation with diffusions for effective test-time prompt tuning

Reference 17

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This paper cites Clip-adapter: Better vision-language models with feature adapters.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Clip-adapter: Better vision-language models with feature adapters

Reference 18

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This paper cites The many faces of robustness: A criti- cal analysis of out-of-distribution generalization.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model The many faces of robustness: A criti- cal analysis of out-of-distribution generalization

Reference 19

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This paper cites Natural adversarial examples.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Natural adversarial examples

Reference 20

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This paper cites Fine-grained generalized zero-shot learning via dense attribute-based attention.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Fine-grained generalized zero-shot learning via dense attribute-based attention

Reference 21

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This paper cites Le, Yun-Hsuan Sung, Zhen Li, and Tom Duerig.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Le, Yun-Hsuan Sung, Zhen Li, and Tom Duerig

Reference 22

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This paper cites Multi- modal classifiers for open-vocabulary object detection.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Multi- modal classifiers for open-vocabulary object detection

Reference 23

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Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Khan, and Fahad Shahbaz Khan

Reference 24

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This paper cites Kolkin, Jason Salavon, and Gregory Shakhnarovich.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Kolkin, Jason Salavon, and Gregory Shakhnarovich

Reference 25

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This paper cites Co-clustering through optimal transport.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Co-clustering through optimal transport

Reference 26

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This paper cites Visual-text cross alignment: Refining the similarity score in vision-language models.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Visual-text cross alignment: Refining the similarity score in vision-language models

Reference 27

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This paper cites Patchct: Align- ing patch set and label set with conditional transport for multi-label image classification.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Patchct: Align- ing patch set and label set with conditional transport for multi-label image classification

Reference 28

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This paper cites Progressive semantic-visual mutual adaption for generalized zero-shot learning.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Progressive semantic-visual mutual adaption for generalized zero-shot learning

Reference 29

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Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Visual classification via description from large language models

Reference 30

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This paper cites Robust calibration of large vision- language adapters.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Robust calibration of large vision- language adapters

Reference 31

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Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Robust calibration of large vision- language adapters

Reference 32

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This paper cites I2dformer+: Learning image to document summary attention for zero-shot image classifi- cation.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model I2dformer+: Learning image to document summary attention for zero-shot image classifi- cation

Reference 33

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This paper cites Pomerleau, Geoffrey E.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Pomerleau, Geoffrey E

Reference 34

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This paper cites Parkhi, Andrea Vedaldi, Andrew Zisserman, and C.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Parkhi, Andrea Vedaldi, Andrew Zisserman, and C

Reference 35

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Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Computational optimal transport

Reference 36

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This paper cites What does a platypus look like? generating customized prompts for zero- shot image classification.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model What does a platypus look like? generating customized prompts for zero- shot image classification

Reference 37

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This paper cites Pratt, Ian Covert, Rosanne Liu, and Ali Farhadi.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Pratt, Ian Covert, Rosanne Liu, and Ali Farhadi

Reference 38

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This paper cites Proapo: Pro- gressively automatic prompt optimization for visual classifi- cation.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Proapo: Pro- gressively automatic prompt optimization for visual classifi- cation

Reference 39

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

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Learning transferable visual models from natural language supervision

Reference 40

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This paper cites Do imagenet classifiers generalize to im- agenet? In ICML, pages 5389–5400, 2019.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Do imagenet classifiers generalize to im- agenet? In ICML, pages 5389–5400, 2019

Reference 41

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This paper cites Sophia Koepke, Oriol Vinyals, Cordelia Schmid, and Zeynep Akata.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Sophia Koepke, Oriol Vinyals, Cordelia Schmid, and Zeynep Akata

Reference 42

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This paper cites Generalized zero- and few- shot learning via aligned variational autoencoders.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Generalized zero- and few- shot learning via aligned variational autoencoders

Reference 43

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This paper cites Test- time prompt tuning for zero-shot generalization in vision- language models.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Test- time prompt tuning for zero-shot generalization in vision- language models

Reference 44

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This paper cites Hunting attributes: Con- text prototype-aware learning for weakly supervised seman- tic segmentation.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Hunting attributes: Con- text prototype-aware learning for weakly supervised seman- tic segmentation

Reference 45

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This paper cites Argue: Attribute-guided prompt tuning for vision-language models.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Argue: Attribute-guided prompt tuning for vision-language models

Reference 46

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Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Tuning multi-mode token- level prompt alignment across modalities

Reference 47

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This paper cites Lipton, and Eric P.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Lipton, and Eric P

Reference 48

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Observation 65327196-1cb1-458f-922b-861af002a7c9 · outbound

This paper cites Zero-shot visual recognition via bidirectional latent embedding.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Zero-shot visual recognition via bidirectional latent embedding

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:34:43.858773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f8ff87f1-fec1-4ec5-a183-362e6082e662 · outbound

This paper cites Welinder, S.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Welinder, S

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:34:43.640489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 028b4ce2-dfe8-41a6-929b-f19f062ff9da · outbound

This paper cites Schiele, and Zeynep Akata.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Schiele, and Zeynep Akata

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:34:43.462090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5128ea2a-be29-476c-b3ac-1f4fd8f29558 · outbound

This paper cites Lorenz, B.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Lorenz, B

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:34:43.236837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation de7ada3a-90ad-4bf3-9832-02e5e8230e77 · outbound

This paper cites Khan, Zhiqiang Shen, Muzammal Naseer, Guangyi Chen, and Fahad Shahbaz Khan.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Khan, Zhiqiang Shen, Muzammal Naseer, Guangyi Chen, and Fahad Shahbaz Khan

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:34:43.015907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7c075e03-1d4c-4391-a993-57253318aabe · outbound

This paper cites Places: A 10 million image database for scene recognition.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Places: A 10 million image database for scene recognition

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:34:42.831883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 55fef51c-db4c-490a-907b-361581c2074d · outbound

This paper cites Conditional prompt learning for vision-language models.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Conditional prompt learning for vision-language models

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:34:42.697098Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 30a63017-5af8-4e64-ac96-eb058b7cc3cb · outbound

This paper cites Learning to prompt for vision-language models.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Learning to prompt for vision-language models

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:34:42.577356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3530d133-5caa-4089-924a-4d0abafedcb5 · outbound

This paper cites Prompt-aligned gradient for prompt tuning.

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model Prompt-aligned gradient for prompt tuning

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:34:42.478926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation 603626a4-5abb-4478-a7a8-f87782c6921b · inbound

FedMPT: Federated Multi-label Prompt Tuning of Vision-Language Models cites this paper.

FedMPT: Federated Multi-label Prompt Tuning of Vision-Language Models Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-29T12:43:25.938440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.