Paper Citation Record · LEDGER

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models

As of 15 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 1 inbound Pith citation observation for arXiv:2507.11969.

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

pith.paper-citation-record.v1
2507.11969 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:04:50.279425Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:32:20.812711Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T10:32:24.110313Z

Reference resolution

46 of 46 outbound references displayed

verified exact0
verified fuzzy39
unresolved7
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f0bde4c9-04ef-4b09-9f12-1f19985618a8 · outbound

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

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models Flamingo: a visual language model for few-shot learning

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:56.055881Z

Source-reported events for the cited work

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

Observation cfd9c6cc-7b2c-4828-904b-5f50d391d38b · outbound

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

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models Food-101--mining discriminative components with random forests

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:55.893870Z

Source-reported events for the cited work

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

Observation 4c95f12c-78a5-4af3-bc04-0a9c591bac23 · outbound

This paper cites Plot: Prompt learning with optimal transport for vision-language models.

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models Plot: Prompt learning with optimal transport for vision-language models

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:55.728815Z

Source-reported events for the cited work

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

Observation 48e1ba0f-5dcb-4dbf-9bb0-5e5b45d782b6 · outbound

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

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models A simple framework for contrastive learning of visual representations

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:55.579696Z

Source-reported events for the cited work

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

Observation 29a20950-a1e3-4f6c-9e47-ad1193387252 · outbound

This paper cites Each test image deserves a specific prompt: Continual test-time adaptation for 2d medical image segmentation.

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models Each test image deserves a specific prompt: Continual test-time adaptation for 2d medical image segmentation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:55.454042Z

Source-reported events for the cited work

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

Observation 4759aa16-1b73-4499-a0f0-45c7aa9b0b48 · outbound

This paper cites Describing textures in the wild.

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models Describing textures in the wild

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:55.288640Z

Source-reported events for the cited work

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

Observation 7bc507f0-0b5f-4c5c-96c0-62cd76a7025a · outbound

This paper cites and Meer, P.

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models and Meer, P

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:55.162865Z

Source-reported events for the cited work

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

Observation 0866f2bd-4179-4f27-92d7-e9683602a30e · outbound

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

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models Imagenet: A large-scale hierarchical image database

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T17:04:47.063481Z

Source-reported events for the cited work

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Observation 6262b48c-85f2-4273-aa03-86981241ac22 · outbound

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

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T17:04:47.161099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bae85dfa-e38f-46c4-bd78-4c71dae3c44d · outbound

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

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:55.029161Z

Source-reported events for the cited work

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

Observation 186a0862-40e0-460a-a7ca-ccbca20d7082 · outbound

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

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models Diverse data augmentation with diffusions for effective test-time prompt tuning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:54.857691Z

Source-reported events for the cited work

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

Observation 1552abfe-8120-433c-be86-2bf13bc8912c · outbound

This paper cites Nemesis: Normalizing the soft-prompt vectors of vision-language models.

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models Nemesis: Normalizing the soft-prompt vectors of vision-language models

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:54.721202Z

Source-reported events for the cited work

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

Observation 5c67abd9-2a9f-4967-bfd6-e4202994e3f8 · outbound

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

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models Clip-adapter: Better vision-language models with feature adapters

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:54.576450Z

Source-reported events for the cited work

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

Observation 758216b2-2cba-4b3e-97b4-af2b54b6fc4b · outbound

This paper cites Deep residual learning for image recognition.

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models Deep residual learning for image recognition

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T17:04:47.614372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbedf8c2-e00b-40a4-991a-2af8fc032fd4 · outbound

This paper cites Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification.

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:54.427958Z

Source-reported events for the cited work

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

Observation e8d8cdae-da18-496a-aebf-f30a2e3bd737 · outbound

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

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models The many faces of robustness: A critical analysis of out-of-distribution generalization

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:54.288550Z

Source-reported events for the cited work

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

Observation 9de081e4-6cd7-4b7d-936c-4b69a87b5f29 · outbound

This paper cites Natural adversarial examples.

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models Natural adversarial examples

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:54.180790Z

Source-reported events for the cited work

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

Observation 6467f5aa-cd74-48e7-901d-a1be9257960b · outbound

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

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models Scaling up visual and vision-language representation learning with noisy text supervision

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:54.007425Z

Source-reported events for the cited work

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

Observation 5cc554e5-3143-47d6-986d-bf1f21e2ff6d · outbound

This paper cites Efficient test-time adaptation of vision-language models.

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models Efficient test-time adaptation of vision-language models

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:53.895032Z

Source-reported events for the cited work

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

Observation 4556eb4f-e6a7-4356-9fa9-6d0f57c8905b · outbound

This paper cites 3d object representations for fine-grained categorization.

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models 3d object representations for fine-grained categorization

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:53.784727Z

Source-reported events for the cited work

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

Observation a3a15f38-6f21-4b35-9365-0e361f20fca0 · outbound

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

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models Gallop: Learning global and local prompts for vision-language models

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:53.643102Z

Source-reported events for the cited work

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

Observation 0192b9f8-05e5-4bdd-a3a7-9c53bdfe1d60 · outbound

This paper cites Monotta: Fully test-time adaptation for monocular 3d object detection.

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models Monotta: Fully test-time adaptation for monocular 3d object detection

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:53.512584Z

Source-reported events for the cited work

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

Observation 547ebd0a-e9dc-4c42-9673-8c8b76796b0d · outbound

This paper cites Dart: Dual-modal adaptive online prompting and knowledge retention for test-time adaptation.

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models Dart: Dual-modal adaptive online prompting and knowledge retention for test-time adaptation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:53.415479Z

Source-reported events for the cited work

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

Observation 37101f13-ec79-458d-a36b-279ef85ee66e · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models Fine-Grained Visual Classification of Aircraft

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T17:04:48.530627Z

Source-reported events for the cited work

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Observation a0305f02-1300-4032-947c-7354fb7af281 · outbound

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

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models Locoop: Few-shot out-of-distribution detection via prompt learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:53.265552Z

Source-reported events for the cited work

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

Observation b91ac95e-a09c-4dce-87a7-fb6d7b759597 · outbound

This paper cites and Zisserman, A.

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models and Zisserman, A

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:53.102461Z

Source-reported events for the cited work

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

Observation cf01f00c-918f-4061-b66f-232ac145d7df · outbound

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

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models M., Vedaldi, A., Zisserman, A., and Jawahar, C

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:52.947573Z

Source-reported events for the cited work

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

Observation 583e1490-10f1-4e65-ae35-c526ac03915b · outbound

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

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:52.763564Z

Source-reported events for the cited work

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

Observation d68ee404-37ae-4e77-945a-5c0db9f91360 · outbound

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

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:52.638395Z

Source-reported events for the cited work

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

Observation cabb9e4c-3b17-46ea-b9b8-f93958dd464b · outbound

This paper cites Do imagenet classifiers generalize to imagenet? In Int.

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models Do imagenet classifiers generalize to imagenet? In Int

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:52.335745Z

Source-reported events for the cited work

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

Observation 6e45ef82-a984-4200-9a10-809498c30d48 · outbound

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

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models Test-time prompt tuning for zero-shot generalization in vision-language models

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:52.062025Z

Source-reported events for the cited work

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

Observation fa27564e-ec24-468c-b201-1e226ff4d4d5 · outbound

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

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 32

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Source-reported events for the cited work

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Observation 1e35d068-8377-4505-882f-000a7263d7d8 · outbound

This paper cites Test-time training with self-supervision for generalization under distribution shifts.

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models Test-time training with self-supervision for generalization under distribution shifts

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:52.015541Z

Source-reported events for the cited work

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

Observation 4233975e-838c-4db1-acbd-5bd6ab0a4643 · outbound

This paper cites Sus-x: Training-free name-only transfer of vision-language models.

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models Sus-x: Training-free name-only transfer of vision-language models

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:51.921444Z

Source-reported events for the cited work

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

Observation fa4ee48a-2f5b-4560-b47f-6eb59849a75e · outbound

This paper cites Attention is all you need.

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models Attention is all you need

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:51.783078Z

Source-reported events for the cited work

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

Observation 7fe135bd-270c-4918-8191-c8f712adb44e · outbound

This paper cites Tent: Fully test-time adaptation by entropy minimization.

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models Tent: Fully test-time adaptation by entropy minimization

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:51.696769Z

Source-reported events for the cited work

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

Observation eae554a8-cc67-4f92-8a93-d985e4ec3e3c · outbound

This paper cites an unresolved cited work.

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:04:51.573481Z

Source-reported events for the cited work

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Observation f7e9d75f-8bd2-43c8-b5ef-38bb4dea943f · outbound

This paper cites S., Yoon, E., Tee, J.

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models S., Yoon, E., Tee, J

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:51.464019Z

Source-reported events for the cited work

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

Observation c796a287-a4f2-4250-9e33-1130a36d3a91 · outbound

This paper cites and Ben Ayed, I.

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models and Ben Ayed, I

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:51.336001Z

Source-reported events for the cited work

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

Observation 763af834-96bf-458d-90ba-90dcb4ad6bd2 · outbound

This paper cites Dual prototype evolving for test-time generalization of vision-language models.

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models Dual prototype evolving for test-time generalization of vision-language models

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:51.235789Z

Source-reported events for the cited work

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

Observation 044a18b3-ff06-4ef2-b3e7-cab2fa75a755 · outbound

This paper cites Historical test-time prompt tuning for vision foundation models.

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models Historical test-time prompt tuning for vision foundation models

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:51.093337Z

Source-reported events for the cited work

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

Observation 35216b16-fcb2-4dc6-b26f-0d2eb8949759 · outbound

This paper cites Memo: Test time robustness via adaptation and augmentation.

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models Memo: Test time robustness via adaptation and augmentation

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:50.926118Z

Source-reported events for the cited work

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

Observation 2cd1c3f5-f7ce-4dbd-9d1d-24bc6e1167b9 · outbound

This paper cites Tip-adapter: Training-free adaption of clip for few-shot classification.

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models Tip-adapter: Training-free adaption of clip for few-shot classification

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:50.783816Z

Source-reported events for the cited work

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

Observation 1bd81aab-3934-4d0b-b7fb-12916b7357ed · outbound

This paper cites C., and Liu, Z.

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models C., and Liu, Z

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:50.663058Z

Source-reported events for the cited work

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

Observation 9e097514-4376-40c7-b2d2-86b47a6d4984 · outbound

This paper cites C., and Liu, Z.

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models C., and Liu, Z

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:50.494465Z

Source-reported events for the cited work

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

Observation bd9778d4-b097-460a-b106-8a2ab3174ca4 · outbound

This paper cites write newline.

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models write newline

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T17:04:50.279425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 2ad816b1-618b-4b1d-bade-0313d7f46c0c · inbound

MuRA: Multi-Rank Adaptation for Efficient and Effective Test-Time Vision-Language Generalization cites this paper.

MuRA: Multi-Rank Adaptation for Efficient and Effective Test-Time Vision-Language Generalization GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-05T10:32:24.187505Z

Source-reported events for the cited work

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