FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models | Paper Citation Record

Observation eec34f30-a876-4e47-981b-71d813511874 · outbound

This paper cites Minimization of functions having lipschitz continuous first partial derivatives.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Minimization of functions having lipschitz continuous first partial derivatives

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T23:50:56.107461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90549962-9f02-4f82-a1e6-9afe532ae226 · outbound

This paper cites D., and Li, Y.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models D., and Li, Y

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T23:50:56.192325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94a0f58f-9535-42a7-94a2-b938fa8b8dbb · outbound

This paper cites Diprompt: Disentangled prompt tuning for multiple latent domain generalization in federated learning.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Diprompt: Disentangled prompt tuning for multiple latent domain generalization in federated learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T23:50:56.258150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f40d945-fbf5-451c-967d-7f6bb0553f38 · outbound

This paper cites Id-like prompt learning for few-shot out-of-distribution detection.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Id-like prompt learning for few-shot out-of-distribution detection

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T23:50:56.339871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62bb57f2-886f-4bd8-8eb3-3071d08a200b · outbound

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

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Food-101--mining discriminative components with random forests

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T23:50:56.376911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a94287b-4cd9-405a-80ae-bb93a59599a0 · outbound

This paper cites A Unified Wasserstein Distributional Robustness Framework for Adversarial Training.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models A Unified Wasserstein Distributional Robustness Framework for Adversarial Training

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T23:51:03.690253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5cc17701-8c2e-4bf1-a559-4b0a93d587b7 · outbound

This paper cites and Chao, W.-L.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models and Chao, W.-L

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T23:50:56.528135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4efc8c2-09a0-453a-a422-d69744f461fb · outbound

This paper cites Describing textures in the wild.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Describing textures in the wild

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:06.151494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 402b159f-ee90-41fa-9626-01ae95f50c2d · outbound

This paper cites Describing textures in the wild.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Describing textures in the wild

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:06.136036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 51a2e55e-1725-4642-add0-cd6e6ec61508 · outbound

This paper cites an unresolved cited work.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:51:06.120033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ebfb0898-0fb6-41ad-8156-394f69bdadf6 · outbound

This paper cites Harmonizing generalization and personalization in federated prompt learning.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Harmonizing generalization and personalization in federated prompt learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:06.105422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5bdc2bed-72bd-409a-8b17-cf8c36db4c79 · outbound

This paper cites Q., Li, A., and Kung, H.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Q., Li, A., and Kung, H

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:06.090368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b440f8e2-0d41-49b6-b5ed-afd12339405b · outbound

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

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T23:50:56.892883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9915f014-507f-40f2-a92a-46259bf3a479 · outbound

This paper cites Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:06.075572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ca5dc7cf-555c-4aa6-8a1e-c2974260a8be · outbound

This paper cites Wordnet: An electronic lexical database.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Wordnet: An electronic lexical database

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:06.059882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ddc35d3c-cde8-410f-9251-65c0a5be4fda · outbound

This paper cites Learning federated visual prompt in null space for mri reconstruction.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Learning federated visual prompt in null space for mri reconstruction

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:06.041934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2d1b9970-b6a4-402f-9f33-846bd0cf7611 · outbound

This paper cites Geodesic flow kernel for unsupervised domain adaptation.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Geodesic flow kernel for unsupervised domain adaptation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:06.024956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 42a2ccc1-90e1-465c-a71f-a03ea7bde502 · outbound

This paper cites Pfedprompt: Learning personalized prompt for vision-language models in federated learning.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Pfedprompt: Learning personalized prompt for vision-language models in federated learning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:06.008754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8de57374-800d-425a-918f-db4c4f442dd5 · outbound

This paper cites Promptfl: Let federated participants cooperatively learn prompts instead of models-federated learning in age of foundation model.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Promptfl: Let federated participants cooperatively learn prompts instead of models-federated learning in age of foundation model

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.993321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 471ceffe-5b6f-4576-b6ae-d441bf1e7530 · outbound

This paper cites Out-of-distribution generalization of federated learning via implicit invariant relationships.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Out-of-distribution generalization of federated learning via implicit invariant relationships

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.977668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e5d81372-7fd4-4f4f-8d5b-cea056021635 · outbound

This paper cites Deep residual learning for image recognition.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Deep residual learning for image recognition

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T23:50:57.436809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4661ce5-2dae-4e30-9a93-982f3776d0a9 · outbound

This paper cites Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T23:50:57.491541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20400e69-dcb5-4330-9e51-a30586a43cd3 · outbound

This paper cites and Gimpel, K.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models and Gimpel, K

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.952258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 15629a96-271a-45fa-8550-e5355b20392b · outbound

This paper cites Federated learning for generalization, robustness, fairness: A survey and benchmark.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Federated learning for generalization, robustness, fairness: A survey and benchmark

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.936203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cd98b943-fe40-4395-9013-ce585cf6f796 · outbound

This paper cites Revisiting frank-wolfe: Projection-free sparse convex optimization.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Revisiting frank-wolfe: Projection-free sparse convex optimization

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.919935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 08027ac1-37bf-4d5e-b5e3-557e0555e83a · outbound

This paper cites Scaling up visual and vision-language representation learning with noisy text supervision.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Scaling up visual and vision-language representation learning with noisy text supervision

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T23:50:57.715625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa637323-a304-4cee-a164-4b9b1f4945c3 · outbound

This paper cites and Lin, T.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models and Lin, T

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.895488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 05deb418-b323-45ec-9eeb-6f6373c93b88 · outbound

This paper cites Negative label guided ood detection with pretrained vision-language models.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Negative label guided ood detection with pretrained vision-language models

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.876532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2d835f3c-0f94-43f6-8116-dd6edb43edac · outbound

This paper cites P., Kale, S., Mohri, M., Reddi, S., Stich, S., and Suresh, A.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models P., Kale, S., Mohri, M., Reddi, S., Stich, S., and Suresh, A

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T23:50:57.895151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82db776b-1b8f-44e3-8c59-39e32004e84f · outbound

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

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Learning multiple layers of features from tiny images

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T23:50:57.943235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00d80fb8-f504-4c66-9b0e-ed285fc83e90 · outbound

This paper cites Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T23:50:57.997361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2969375-9625-4b5e-8692-a97823599c89 · outbound

This paper cites Gallop: Learning global and local prompts for vision-language models.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Gallop: Learning global and local prompts for vision-language models

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.840191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a45d50cf-1e00-442f-88c5-202f8181d780 · outbound

This paper cites and Yang, X.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models and Yang, X

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T23:50:58.099556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b025a8c0-e55b-4ec2-aeb5-86928d0df2eb · outbound

This paper cites an unresolved cited work.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Unresolved cited work

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T23:50:58.148929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6f045d8-69d9-454d-a3e6-9000f64ca251 · outbound

This paper cites Global and local prompts cooperation via optimal transport for federated learning.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Global and local prompts cooperation via optimal transport for federated learning

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.803671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4336746e-0f14-43e4-9191-9ccd1a90dd93 · outbound

This paper cites Model-contrastive federated learning.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Model-contrastive federated learning

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.787949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f652536a-4020-429b-aeaa-a8b2729e7473 · outbound

This paper cites K., Zaheer, M., Sanjabi, M., Talwalkar, A., and Smith, V.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models K., Zaheer, M., Sanjabi, M., Talwalkar, A., and Smith, V

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T23:50:58.296377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6a6729a-99d0-4e21-82be-50a4333dbe4f · outbound

This paper cites and Wang, J.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models and Wang, J

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T23:50:58.361090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b2db1fb-4d8a-42e7-849b-333bc2380757 · outbound

This paper cites Hyperfed: hyperbolic prototypes exploration with consistent aggregation for non-iid data in federated learning.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Hyperfed: hyperbolic prototypes exploration with consistent aggregation for non-iid data in federated learning

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.760027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5d1bac92-6dfd-4f28-aaa3-bc0270f79ef3 · outbound

This paper cites Rethinking the representation in federated unsupervised learning with non-iid data.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Rethinking the representation in federated unsupervised learning with non-iid data

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.744055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 564f2be8-dca3-42df-a092-ad71cb0e3e8c · outbound

This paper cites FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:51:03.342468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a8f7bfce-97bf-4d4f-acda-a8811cdea9d1 · outbound

This paper cites Feddg: Federated domain generalization on medical image segmentation via episodic learning in continuous frequency space.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Feddg: Federated domain generalization on medical image segmentation via episodic learning in continuous frequency space

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.727850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 36400aff-32e2-4d7d-9f49-79416ac9ec27 · outbound

This paper cites Reducing item discrepancy via differentially private robust embedding alignment for privacy-preserving cross domain recommendation.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Reducing item discrepancy via differentially private robust embedding alignment for privacy-preserving cross domain recommendation

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.711075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7fedc6f4-4d41-4680-8d9f-f21709fca7a9 · outbound

This paper cites Hyperbolic variational graph auto-encoder for next poi recommendation.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Hyperbolic variational graph auto-encoder for next poi recommendation

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.693689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c410194b-5efe-44fa-be0b-30da1f4a9e0f · outbound

This paper cites GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T23:50:58.778782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ab94d23-151a-49a9-b34e-470c668a9f38 · outbound

This paper cites Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity?.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity?

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T23:50:58.869165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2153518-6abb-406b-a3cb-d5b63afd47f8 · outbound

This paper cites an unresolved cited work.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Unresolved cited work

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T23:50:58.980894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20cd255c-8f2f-4d56-a430-bff3544310b1 · outbound

This paper cites Delving into out-of-distribution detection with vision-language representations.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Delving into out-of-distribution detection with vision-language representations

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.667019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7c0407e2-de8c-4fdd-8fd6-0e7d6600a135 · outbound

This paper cites Locoop: Few-shot out-of-distribution detection via prompt learning.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Locoop: Few-shot out-of-distribution detection via prompt learning

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.649105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d2a70a90-0264-48ba-b9ac-004f80102d08 · outbound

This paper cites T., Torr, P., and Lim, S.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models T., Torr, P., and Lim, S

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.631444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 94da1746-c78e-48ec-bd6f-12394da2eb25 · outbound

This paper cites T., Torr, P., and Lim, S.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models T., Torr, P., and Lim, S

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.614001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7c46d9f1-5ba7-4793-96dc-c6ffbee9f394 · outbound

This paper cites and Zisserman, A.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models and Zisserman, A

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.597315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 153e0915-4552-4722-be4a-41093f183af3 · outbound

This paper cites Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:51:03.045958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c53066ee-cc70-4d1f-a9bd-cbecf1608126 · outbound

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

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models M., Vedaldi, A., Zisserman, A., and Jawahar, C

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.580620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5b6f1111-7041-48b0-9754-d12bde906ea4 · outbound

This paper cites Moment matching for multi-source domain adaptation.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Moment matching for multi-source domain adaptation

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T23:50:59.555609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4eb8bb89-1013-4ac9-893a-ab4e17126512 · outbound

This paper cites Counterfactual user sequence synthesis augmented with continuous time dynamic preference modeling for sequential poi recommendation.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Counterfactual user sequence synthesis augmented with continuous time dynamic preference modeling for sequential poi recommendation

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.554885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dcb18ad4-3eb9-4627-b7d0-de77cc79b829 · outbound

This paper cites K., Ganesh, M.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models K., Ganesh, M

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.538659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 663354db-1747-4db8-a7c7-3f5f14e36e1d · outbound

This paper cites Generalized federated learning via sharpness aware minimization.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Generalized federated learning via sharpness aware minimization

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.522034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 22cb6fd0-1cab-48d0-b0ed-924ee769b24c · outbound

This paper cites W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T23:50:59.934507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0afdd6ff-10fa-4fdb-b799-1d9dc4404c1e · outbound

This paper cites Clip-guided federated learning on heterogeneity and long-tailed data.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Clip-guided federated learning on heterogeneity and long-tailed data

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.494432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f9bcc6af-2503-480e-8c5e-bd694b3c8213 · outbound

This paper cites Clipood: Generalizing clip to out-of-distributions.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Clipood: Generalizing clip to out-of-distributions

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.476796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 872eb3c9-cdd6-46f7-824d-762c067ef757 · outbound

This paper cites Certifying Some Distributional Robustness with Principled Adversarial Training.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Certifying Some Distributional Robustness with Principled Adversarial Training

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T23:51:00.164072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05a4c352-cbe2-4a6e-a2e6-21af2699ef5f · outbound

This paper cites Is heterogeneity notorious? taming heterogeneity to handle test-time shift in federated learning.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Is heterogeneity notorious? taming heterogeneity to handle test-time shift in federated learning

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.459460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 46119f15-c77d-4a18-97e4-a5d95122949a · outbound

This paper cites Exploiting Personalized Invariance for Better Out-of-distribution Generalization in Federated Learning.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Exploiting Personalized Invariance for Better Out-of-distribution Generalization in Federated Learning

Reference 64

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:51:02.768886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a61a198e-8306-45a8-8133-3dc2c494b691 · outbound

This paper cites The inaturalist species classification and detection dataset.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models The inaturalist species classification and detection dataset

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T23:51:00.409863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5de8ccc-7195-44ef-85d2-96da07ab0b3e · outbound

This paper cites Ce-rcfr: Robust counterfactual regression for consensus-enabled treatment effect estimation.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Ce-rcfr: Robust counterfactual regression for consensus-enabled treatment effect estimation

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.433425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 25180944-d4ba-4713-88da-7aad3616d9b2 · outbound

This paper cites Inter- and intra- similarity preserved counterfactual incentive effect estimation for recommendation systems.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Inter- and intra- similarity preserved counterfactual incentive effect estimation for recommendation systems

Reference 67

Resolution: verified exact; doi, observed 2026-08-06T23:51:02.558361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d4f596d5-bb6f-4574-b22a-68182409cc35 · outbound

This paper cites Clipn for zero-shot ood detection: Teaching clip to say no.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Clipn for zero-shot ood detection: Teaching clip to say no

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.417613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e44d9660-25b5-4255-a8dd-716b6900a4fd · outbound

This paper cites Outlier-robust distributionally robust optimization via unbalanced optimal transport.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Outlier-robust distributionally robust optimization via unbalanced optimal transport

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.403224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 24bb3fb1-7282-4f2c-a026-808458687c55 · outbound

This paper cites Flora: Federated fine-tuning large language models with heterogeneous low-rank adaptations.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Flora: Federated fine-tuning large language models with heterogeneous low-rank adaptations

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.389233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c1779131-5287-433b-861d-c679af725e04 · outbound

This paper cites M., and Johansson, K.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models M., and Johansson, K

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.376362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 996b2fd2-45b9-4c03-8d7e-f06ef1b45a93 · outbound

This paper cites T., Weng, L., and Hoang, N.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models T., Weng, L., and Hoang, N

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.362512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 52db1717-a8af-4eff-ab1e-ca06de7c3e8c · outbound

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

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models A., Oliva, A., and Torralba, A

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.349060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e6ca2677-266a-4bbe-9c41-d3b97945e9aa · outbound

This paper cites TurkerGaze: Crowdsourcing Saliency with Webcam based Eye Tracking.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models TurkerGaze: Crowdsourcing Saliency with Webcam based Eye Tracking

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-06T23:51:01.286253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57100172-6ae3-49e5-b8f6-a58bdc880e18 · outbound

This paper cites an unresolved cited work.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Unresolved cited work

Reference 75

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:51:05.334947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bcf695bf-bd53-43d2-99a6-984ad731c735 · outbound

This paper cites Generalized out-of-distribution detection: A survey.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Generalized out-of-distribution detection: A survey

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.320610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 10722bf6-da3e-464c-8915-5fb603f9bd12 · outbound

This paper cites LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-06T23:51:01.575628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26a74b9b-4a53-4ecb-a243-193d019fe40d · outbound

This paper cites Turning the curse of heterogeneity in federated learning into a blessing for out-of-distribution detection.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Turning the curse of heterogeneity in federated learning into a blessing for out-of-distribution detection

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.305083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6f13315e-6220-42da-8c9a-1fe09ce46cc6 · outbound

This paper cites R., Ning, L., and Singhal, K.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models R., Ning, L., and Singhal, K

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.148685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4476d16e-48e6-4b6c-a6de-d4e8a715fd8b · outbound

This paper cites Rethinking misalignment in vision-language model adaptation from a causal perspective.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Rethinking misalignment in vision-language model adaptation from a causal perspective

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:04.877223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 82f7351e-3e90-45ff-8db2-09ee2a519e87 · outbound

This paper cites Lapt: Label-driven automated prompt tuning for ood detection with vision-language models.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Lapt: Label-driven automated prompt tuning for ood detection with vision-language models

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:04.682241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 441c22f1-1ee1-4b93-9f0e-c20d2c602e72 · outbound

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

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Places: A 10 million image database for scene recognition

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:04.481413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 45be89c3-f153-4f52-9086-ff7a2d14c013 · outbound

This paper cites C., and Liu, Z.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models C., and Liu, Z

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:04.303313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5b429523-f8bd-4dde-9999-05ae9b1c86d0 · outbound

This paper cites Fedgog: Federated graph out-of-distribution generalization with diffusion data exploration and latent embedding decorrelation.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Fedgog: Federated graph out-of-distribution generalization with diffusion data exploration and latent embedding decorrelation

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:04.118934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1d583dac-bd1d-4bc4-a1b2-8729f57f4b4f · outbound

This paper cites Fedgf: Enhancing structural knowledge via graph factorization for federated graph learning.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Fedgf: Enhancing structural knowledge via graph factorization for federated graph learning

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:03.900568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d6b37b5a-4371-48f7-90b5-b3d3d07db450 · outbound

This paper cites write newline.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models write newline

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-06T23:51:02.376943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers