Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP | Paper Citation Record

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This paper cites an unresolved cited work.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Unresolved cited work

Reference 1

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Observation c8585b62-2b8c-443f-9a07-4a4809c36f13 · outbound

This paper cites PLOT: Prompt Learning with Optimal Transport for Vision-Language Models.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP PLOT: Prompt Learning with Optimal Transport for Vision-Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T15:05:07.893789Z

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Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:05:09.519457Z

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Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:05:09.502097Z

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Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:05:09.477866Z

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Observation 2827b441-7787-42a9-9f0b-29681a37397d · outbound

This paper cites an unresolved cited work.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:05:09.462530Z

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This paper cites an unresolved cited work.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:05:09.449712Z

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Observation b242c3eb-dfb5-4343-879b-ae3d24d87e66 · outbound

This paper cites CLIP-Adapter: Better Vision-Language Models with Feature Adapters.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP CLIP-Adapter: Better Vision-Language Models with Feature Adapters

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T15:05:07.932695Z

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Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:05:09.437910Z

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Observation c0a6cb3d-d7f4-4e69-bc6e-df5fba908fcd · outbound

This paper cites an unresolved cited work.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:05:09.425536Z

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This paper cites an unresolved cited work.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:05:09.409365Z

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This paper cites an unresolved cited work.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:05:09.394070Z

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Observation bd974234-4454-416d-ba34-91f7f6e643b8 · outbound

This paper cites an unresolved cited work.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:05:09.378013Z

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Observation 7fd72482-4d04-4f79-9ff9-97a5d7bdbd2d · outbound

This paper cites an unresolved cited work.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:05:09.209130Z

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Observation adb0f7b4-2b6b-43d1-be30-1c08646a5bce · outbound

This paper cites Unsupervised Prompt Learning for Vision-Language Models.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Unsupervised Prompt Learning for Vision-Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T15:05:07.964634Z

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This paper cites LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-11T15:05:08.543237Z

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Observation 9e6e4460-f8ae-4d79-b166-11e6a27f273e · outbound

This paper cites an unresolved cited work.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Unresolved cited work

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Resolution: unresolved; raw_fallback, observed 2026-08-11T15:05:09.189445Z

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This paper cites an unresolved cited work.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:05:09.168843Z

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This paper cites an unresolved cited work.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:05:09.146272Z

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Observation 25fac29f-6fb1-4485-a8cc-463e412bbd5b · outbound

This paper cites an unresolved cited work.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Unresolved cited work

Reference 20

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Observation bcaeb7db-0657-400e-b807-d95d3554bbd9 · outbound

This paper cites Prompt Distribution Learning.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Prompt Distribution Learning

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-11T15:05:08.523161Z

Source-reported events for the cited work

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Observation e322309a-501f-4712-bc8e-c54ac3901792 · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Fine-Grained Visual Classification of Aircraft

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T15:05:08.003183Z

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This paper cites an unresolved cited work.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:05:09.116370Z

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Observation 754a9dd9-9b81-4a44-9707-b89ef1b36d49 · outbound

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

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Visual Classification via Description from Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T15:05:08.013636Z

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This paper cites an unresolved cited work.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:05:09.097595Z

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Observation b473d8a7-7992-4700-b181-dd6e92a646fe · outbound

This paper cites F.; Xian, Y.; Gool, L.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP F.; Xian, Y.; Gool, L

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:05:09.080403Z

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Observation 9fdc6f0c-29d4-41ae-9d12-3ac3c57a1edb · outbound

This paper cites an unresolved cited work.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T15:05:08.027734Z

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Observation 8e004a22-0c3d-409b-b984-e66090b3923d · outbound

This paper cites M.; Vedaldi, A.; Zisserman, A.; and Jawahar, C.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP M.; Vedaldi, A.; Zisserman, A.; and Jawahar, C

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:05:09.053562Z

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Observation 1fb0b94d-b035-458a-8eb3-e4a71d69eb6b · outbound

This paper cites an unresolved cited work.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:05:09.040722Z

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Observation 774d55e9-f0f1-4ee0-8769-c1fef269058c · outbound

This paper cites ZEST: Zero-shot Learning from Text Descriptions using Textual Similarity and Visual Summarization.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP ZEST: Zero-shot Learning from Text Descriptions using Textual Similarity and Visual Summarization

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-11T15:05:08.469004Z

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Observation c8fa3542-1a3b-4e4c-8baf-a8c721b1cc71 · outbound

This paper cites an unresolved cited work.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:05:09.028386Z

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Observation 448d610f-2da8-4cbb-9437-a32976bbdf97 · outbound

This paper cites VT-CLIP: Enhancing Vision-Language Models with Visual-guided Texts.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP VT-CLIP: Enhancing Vision-Language Models with Visual-guided Texts

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-11T15:05:08.446152Z

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Observation bc921647-ba0d-4083-bdc1-df27a2895ea8 · outbound

This paper cites W.; Hallacy, C.; Ramesh, A.; Goh, G.; Agarwal, S.; Sastry, G.; Askell, A.; Mishkin, P.; Clark, J.; Krueger, G.; and Sutskever, I.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP W.; Hallacy, C.; Ramesh, A.; Goh, G.; Agarwal, S.; Sastry, G.; Askell, A.; Mishkin, P.; Clark, J.; Krueger, G.; and Sutskever, I

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:05:09.015504Z

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Observation 5a524aae-7c8a-4bcf-9fd3-4c3c87f04922 · outbound

This paper cites an unresolved cited work.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:05:09.001921Z

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Observation de0e5273-abe1-4d29-8402-44ad32d73c33 · outbound

This paper cites M.; Koepke, A.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP M.; Koepke, A

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:05:08.982734Z

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Observation 0467f3a2-ac30-4acf-9e6d-2f471c08b663 · outbound

This paper cites an unresolved cited work.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:05:08.965637Z

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Observation c45de492-20f1-4d39-b1ef-a9361fc35c0c · outbound

This paper cites G.; Wang, Y.; Cheng, C.-Y.; Fumero, M.; and Malekshan, K.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP G.; Wang, Y.; Cheng, C.-Y.; Fumero, M.; and Malekshan, K

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:05:08.951446Z

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Observation bf04735d-ccea-46b1-83cc-87c81839af9b · outbound

This paper cites an unresolved cited work.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:05:08.937876Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation aa15ec73-c638-4073-8cc7-7e57b9a082ed · outbound

This paper cites an unresolved cited work.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:05:08.924825Z

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This paper cites A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models

Reference 40

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This paper cites an unresolved cited work.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:05:08.910420Z

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Observation 6e8916ba-3288-4685-8217-84889a539c1d · outbound

This paper cites an unresolved cited work.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:05:08.892733Z

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Observation edacb1b6-9af9-4fed-837f-6090f93f25c3 · outbound

This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 43

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Observation c7c9fba8-04dd-4e8b-acc3-ecf030b86cb8 · outbound

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Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:05:08.876850Z

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Observation ace76f04-fec2-47de-a523-6dd21ef8f24b · outbound

This paper cites an unresolved cited work.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:05:08.860386Z

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Observation 952e65c2-93cc-4f61-b305-32e967d62cb9 · outbound

This paper cites an unresolved cited work.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:05:08.845602Z

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Observation c17a8c6e-c076-442f-a6ef-d55b730f3c60 · outbound

This paper cites an unresolved cited work.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:05:08.832132Z

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Observation 35224b3b-4642-4f83-81d1-3dbce7f030ce · outbound

This paper cites an unresolved cited work.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:05:08.810222Z

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Observation fdc6dd5d-285a-4cf5-8895-87267524fd01 · outbound

This paper cites Generalizing from a Few Examples: A Survey on Few-Shot Learning.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Generalizing from a Few Examples: A Survey on Few-Shot Learning

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-11T15:05:08.165759Z

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Unavailable: canonical work link unavailable.

Observation 8b4f60d5-a3d4-459e-b69a-e302f83f4ce2 · outbound

This paper cites Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-08-11T15:05:08.363287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f1609dbb-8b44-46ea-9ecf-c3b963e2f473 · outbound

This paper cites A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-11T15:05:08.179560Z

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Unavailable: canonical work link unavailable.

Observation f924f6c4-6cdb-4307-9cce-41f494bd7aed · outbound

This paper cites an unresolved cited work.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:05:08.790154Z

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Observation 8e7661dc-0c1e-4050-ab93-094ad2a22333 · outbound

This paper cites A.; Oliva, A.; and Torralba, A.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP A.; Oliva, A.; and Torralba, A

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:05:08.774506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2dddea13-4503-4a52-b7c3-ae64d7b698b4 · outbound

This paper cites an unresolved cited work.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:05:08.756470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0686062f-196d-4cb9-8856-09f7b6a5b407 · outbound

This paper cites an unresolved cited work.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:05:08.741425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 58d46e1b-b777-4058-a75c-45eefc2e71dd · outbound

This paper cites an unresolved cited work.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:05:08.728264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d7ec15df-b535-4b36-a8b4-461cc64f0c3e · outbound

This paper cites an unresolved cited work.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:05:08.712893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 149ccda9-ba4c-4bdb-a47b-735cde55cbc5 · outbound

This paper cites Concept-Guided Prompt Learning for Generalization in Vision-Language Models.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Concept-Guided Prompt Learning for Generalization in Vision-Language Models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-11T15:05:08.222986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14c7b885-4521-4f93-a216-d30ac0f143e6 · outbound

This paper cites CLIP in Medical Imaging: A Survey.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP CLIP in Medical Imaging: A Survey

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-11T15:05:08.229637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c05361b-b0f7-43bb-8049-d18e7e013508 · outbound

This paper cites C.; and Liu, Z.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP C.; and Liu, Z

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:05:08.695453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9988c0d2-66f1-4829-a1ae-35e1047e878d · outbound

This paper cites C.; and Liu, Z.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP C.; and Liu, Z

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:05:08.675741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c8d3d375-33de-4ee2-9f0d-029462d23982 · outbound

This paper cites an unresolved cited work.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:05:08.654592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3f795ccf-7f56-40ee-8b73-595bdac5ff6a · outbound

This paper cites an unresolved cited work.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:05:08.638338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6a6bd834-0dbf-4056-860d-c7e14b23560b · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP , " * write output.state after.block = add.period write newline

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-11T15:05:08.255255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b2e9577-c0c6-4501-bdee-4a8fc35b8472 · outbound

This paper cites write newline.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP write newline

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-11T15:05:08.260452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers