Paper Citation Record · LEDGER

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models

As of 10 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 4 inbound Pith citation observations for arXiv:2502.02069.

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

pith.paper-citation-record.v1
2502.02069 v1

Coverage vector

measured 77 of 77 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:31:23.667869Z

measured 81 of 81 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T06:38:20.839188Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:39:57.439115Z

Reference resolution

77 of 77 outbound references displayed

verified exact0
verified fuzzy27
unresolved50
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c656a7c6-1b45-4e4e-b8e9-2ed8b62022ce · outbound

This paper cites Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:23.310765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8e54099-8a2c-438a-bcd4-ceb08cf2e4a8 · outbound

This paper cites Self-supervised 8 test-time adaptation on video data.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Self-supervised 8 test-time adaptation on video data

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:26.139636Z

Source-reported events for the cited work

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Observation 860e31d2-e41e-4837-8057-711a8650b091 · outbound

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

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Food-101–mining discriminative components with random forests

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:23.321671Z

Source-reported events for the cited work

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Observation b92889bd-83c8-4c3c-826d-d057639f7d54 · outbound

This paper cites Parameter-free online test-time adaptation.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Parameter-free online test-time adaptation

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:26.114383Z

Source-reported events for the cited work

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Observation 46beb291-28ea-4ae0-940a-a4345f666d51 · outbound

This paper cites Lasp: Text-to- text optimization for language-aware soft prompting of vi- sion & language models.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Lasp: Text-to- text optimization for language-aware soft prompting of vi- sion & language models

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:26.098925Z

Source-reported events for the cited work

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Observation 7f2f480c-b678-4bf3-b27c-d7bf8031d400 · outbound

This paper cites Tinytl: Reduce memory, not parameters for efficient on-device learning.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Tinytl: Reduce memory, not parameters for efficient on-device learning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:26.083702Z

Source-reported events for the cited work

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Observation 98bc1fd4-d2ac-4622-beb8-93f164b8e6eb · outbound

This paper cites Conceptual 12m: Pushing web-scale image-text pre- training to recognize long-tail visual concepts.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Conceptual 12m: Pushing web-scale image-text pre- training to recognize long-tail visual concepts

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:23.341304Z

Source-reported events for the cited work

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Observation 28236931-2c46-494e-a513-7e41b5ec76b5 · outbound

This paper cites Contrastive test-time adaptation.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Contrastive test-time adaptation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:26.058121Z

Source-reported events for the cited work

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Observation cfbece47-d3b5-42aa-bb9c-f2909174e7c2 · outbound

This paper cites Describing textures in the wild.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Describing textures in the wild

Reference 9

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Source-reported events for the cited work

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Observation 76b15297-28df-4103-a553-db588425e185 · outbound

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

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Imagenet: A large-scale hierarchical image database

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:23.354880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b5c3e8e-ea8d-42b0-ae2b-e478ebea8fd8 · outbound

This paper cites Parameter-efficient fine-tuning of large-scale pre-trained language models.Nature Machine In- telligence, 5(3):220–235, 2023.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Parameter-efficient fine-tuning of large-scale pre-trained language models.Nature Machine In- telligence, 5(3):220–235, 2023

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:23.359533Z

Source-reported events for the cited work

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Observation d12c190c-8d2f-45ff-83d0-4fc9f528a92b · outbound

This paper cites CLIP-Nav: Using CLIP for Zero-Shot Vision-and-Language Navigation.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models CLIP-Nav: Using CLIP for Zero-Shot Vision-and-Language Navigation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:23.364399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6b6f7e6-122c-492c-a41f-f93c060fece0 · outbound

This paper cites Frustratingly Easy Test-Time Adaptation of Vision-Language Models.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Frustratingly Easy Test-Time Adaptation of Vision-Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:23.369456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5d9b971-dcaf-4233-bf41-57796e4d708b · outbound

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

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Diverse data augmentation with diffusions for effective test-time prompt tuning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:26.013315Z

Source-reported events for the cited work

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Observation 88770759-776c-4c47-8e2a-bf2efc3ea6f1 · outbound

This paper cites Test-time training with masked autoencoders.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Test-time training with masked autoencoders

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:23.378981Z

Source-reported events for the cited work

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Observation 87d1a547-d796-41b5-87dd-5bfb05240a45 · outbound

This paper cites Mimic before reconstruct: Enhancing masked autoencoders with feature mimicking.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Mimic before reconstruct: Enhancing masked autoencoders with feature mimicking

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:25.988333Z

Source-reported events for the cited work

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Observation bbb966cf-fbbb-4db4-b73e-930bc7e284ea · outbound

This paper cites A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:23.388282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0a00d8f-3c9d-4011-8d20-ac07a770d371 · outbound

This paper cites On calibration of modern neural networks.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models On calibration of modern neural networks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:23.393013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 007aa7bc-0c92-4002-908d-03c73b5a23e2 · outbound

This paper cites Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:23.397936Z

Source-reported events for the cited work

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Observation f06441c7-e56a-43dc-a4b6-486a28850bf0 · outbound

This paper cites Delving deep into rectifiers: Surpassing human-level perfor- mance on imagenet classification.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Delving deep into rectifiers: Surpassing human-level perfor- mance on imagenet classification

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:25.962817Z

Source-reported events for the cited work

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Observation aaa09c02-887c-47dc-a2ec-164f076b98ed · outbound

This paper cites Masked autoencoders are scalable vision learners.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Masked autoencoders are scalable vision learners

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:25.947408Z

Source-reported events for the cited work

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Observation 7c43f245-3848-4653-a1ed-c929f937952b · outbound

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

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:23.412012Z

Source-reported events for the cited work

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Observation c0d9f5cb-2f8b-4a76-b1de-3f342be27731 · outbound

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

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models The many faces of robust- ness: A critical analysis of out-of-distribution generalization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:23.416619Z

Source-reported events for the cited work

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Observation b760ff6e-c273-4acd-8385-0063a4d513fb · outbound

This paper cites Natural adversarial examples.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Natural adversarial examples

Reference 24

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Source-reported events for the cited work

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Observation 30961f47-0370-45df-a454-56ff63c0dbe4 · outbound

This paper cites Masked Image Modeling: A Survey.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Masked Image Modeling: A Survey

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:23.425900Z

Source-reported events for the cited work

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Observation 9c415931-9854-47bf-8e43-ab0af669c45c · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models LoRA: Low-Rank Adaptation of Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:23.430647Z

Source-reported events for the cited work

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Observation fe06d9f6-0278-4dcb-9fca-124e4f52ec25 · outbound

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

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Scaling up visual and vision-language representa- tion learning with noisy text supervision

Reference 27

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Source-reported events for the cited work

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Observation eb3921de-a18f-419a-9624-a111f2a6e9f3 · outbound

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

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Efficient test-time adaptation of vision-language models

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:25.893263Z

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Observation b7278d43-f5a9-4b8d-9c19-714f7b9315cd · outbound

This paper cites Simple but effective: Clip embed- dings for embodied ai.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Simple but effective: Clip embed- dings for embodied ai

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:25.878073Z

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Observation ecdfd95d-02c5-4f2b-9655-760041d931a9 · outbound

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

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models 3d object representations for fine-grained categorization

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:23.449082Z

Source-reported events for the cited work

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Observation 6e827065-bb58-4fee-a4a4-14729789f218 · outbound

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

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution

Reference 31

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Source-reported events for the cited work

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Observation be483f91-22c0-4d5b-a84e-f49f87d6a764 · outbound

This paper cites Language-driven Semantic Segmentation.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Language-driven Semantic Segmentation

Reference 32

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Source-reported events for the cited work

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Observation 755c508f-ad3b-4a93-842f-002e8ffdd236 · outbound

This paper cites Caltech 101.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Caltech 101

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:25.853269Z

Source-reported events for the cited work

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Observation 393dad61-98a6-41c3-96a5-873582e20ffe · outbound

This paper cites A comprehensive sur- vey on test-time adaptation under distribution shifts.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models A comprehensive sur- vey on test-time adaptation under distribution shifts

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:23.468087Z

Source-reported events for the cited work

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Observation 672f3c22-3404-49de-9d00-dc8fba4ad92c · outbound

This paper cites Clip-driven universal model for organ segmentation and tumor detection.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Clip-driven universal model for organ segmentation and tumor detection

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:25.828681Z

Source-reported events for the cited work

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Observation 63d6d2ee-67bc-4226-89f1-61a3422e8aa2 · outbound

This paper cites Continual-mae: Adaptive distribution masked autoencoders for continual test-time adaptation.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Continual-mae: Adaptive distribution masked autoencoders for continual test-time adaptation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:25.813511Z

Source-reported events for the cited work

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Observation 1e55c825-6e8e-475b-b68d-21f11ceb5186 · outbound

This paper cites Decoupled Weight Decay Regularization.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Decoupled Weight Decay Regularization

Reference 37

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Source-reported events for the cited work

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Observation a95d306f-5134-48cf-95e6-ea55f999043c · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Fine-Grained Visual Classification of Aircraft

Reference 38

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Source-reported events for the cited work

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Observation c3eec347-81e5-44ea-814f-583adfed3db0 · outbound

This paper cites AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:23.490901Z

Source-reported events for the cited work

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Observation 9fbb8b84-1242-4ba1-a85e-27800ea13618 · outbound

This paper cites Simple open-vocabulary object detection.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Simple open-vocabulary object detection

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:25.798059Z

Source-reported events for the cited work

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Observation 13437e99-65fe-4069-bf7a-23a4dfd2be1b · outbound

This paper cites Obtaining well calibrated probabilities using bayesian binning.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Obtaining well calibrated probabilities using bayesian binning

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:25.781664Z

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Observation 5109e299-041d-43c9-bf7a-8bcb8f7cc053 · outbound

This paper cites Automated flower classification over a large number of classes.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Automated flower classification over a large number of classes

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:23.504324Z

Source-reported events for the cited work

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Observation a28e0834-83e4-4b16-868a-9d075f920165 · outbound

This paper cites Cats and dogs.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Cats and dogs

Reference 43

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Source-reported events for the cited work

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Observation 1fb056e9-c8d7-42a4-9eba-7b3a4bf00e90 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Learning transferable visual models from natural language supervi- sion

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:25.746749Z

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Observation 89aac38d-e8a5-411a-bb04-8c712ba12aa4 · outbound

This paper cites Do imagenet classifiers generalize to im- agenet? In International conference on machine learning , pages 5389–5400.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Do imagenet classifiers generalize to im- agenet? In International conference on machine learning , pages 5389–5400

Reference 45

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Source-reported events for the cited work

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Observation 8d5bb606-bcd7-45e5-9889-0dd93dd9637b · outbound

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

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Conceptual captions: A cleaned, hypernymed, im- age alt-text dataset for automatic image captioning

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:25.721189Z

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Observation 0cfebf43-7e8c-48b0-b8df-93f3e91e5d9d · outbound

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

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Test- time prompt tuning for zero-shot generalization in vision- language models

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:25.703619Z

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Observation c4c6eaf0-f951-4000-b8c4-d507ab3be666 · outbound

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

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Clipood: Generalizing clip to out-of-distributions

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:25.686235Z

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Observation a3e886b7-e48a-410d-a822-6b50a10f1350 · outbound

This paper cites Ecotta: Memory-efficient continual test-time adaptation via self-distilled regularization.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Ecotta: Memory-efficient continual test-time adaptation via self-distilled regularization

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:25.669296Z

Source-reported events for the cited work

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Observation 68459d43-404f-4a13-880a-a00086a0c7f5 · outbound

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

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 50

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Source-reported events for the cited work

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Observation 39f008b4-0302-443e-b9e0-d12b95eabed2 · outbound

This paper cites Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization with Vision-Language Models.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization with Vision-Language Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:23.546339Z

Source-reported events for the cited work

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Observation 1af64f87-9b7d-4afa-a80f-0dfc2ea041cc · outbound

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

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Test-time training with self- supervision for generalization under distribution shifts

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:23.551269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06246263-b1c5-4709-8bd2-084821a274cc · outbound

This paper cites Yfcc100m: The new data in multimedia research.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Yfcc100m: The new data in multimedia research

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:25.636600Z

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

Observation 5edfcb04-232e-4527-bfaa-607a81dc0abb · outbound

This paper cites Tent: Fully Test-time Adaptation by Entropy Minimization.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Tent: Fully Test-time Adaptation by Entropy Minimization

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:23.560399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 962df42a-7354-4867-91e5-5c1697872170 · outbound

This paper cites Learning robust global representations by penalizing local predictive power.Advances in Neural Information Pro- cessing Systems, 32, 2019.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Learning robust global representations by penalizing local predictive power.Advances in Neural Information Pro- cessing Systems, 32, 2019

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:23.565338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a11ae7e-743f-4e0d-b04e-64b1d6bc76f4 · outbound

This paper cites ActionCLIP: A New Paradigm for Video Action Recognition.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models ActionCLIP: A New Paradigm for Video Action Recognition

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:23.569839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9faa5c6c-e48c-4cc3-b845-b8774ae69f1a · outbound

This paper cites Test-Time Training on Video Streams.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Test-Time Training on Video Streams

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:23.574506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc515134-2ef0-4c9d-a8cb-eff19e78c61a · outbound

This paper cites MedCLIP: Contrastive Learning from Unpaired Medical Images and Text.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:23.579124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c30e09b1-1a0d-47ec-b43c-f4a85259063e · outbound

This paper cites In search of lost online test-time adap- tation: A survey.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models In search of lost online test-time adap- tation: A survey

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:25.606844Z

Source-reported events for the cited work

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

Observation 8c14c420-dd8c-4c71-97e6-c4ac4d7b787b · outbound

This paper cites Robust fine-tuning of zero-shot models.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Robust fine-tuning of zero-shot models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:23.588574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b9a9117-6b87-43ed-ab30-1408949e6775 · outbound

This paper cites Sun database: Large-scale scene recognition from abbey to zoo.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Sun database: Large-scale scene recognition from abbey to zoo

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:23.593103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09f324a2-fe86-49f1-bd34-5533d07fe978 · outbound

This paper cites Any-shift prompt- ing for generalization over distributions.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Any-shift prompt- ing for generalization over distributions

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:23.597604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44e6c927-3b13-4f01-a81e-37e88b5d672b · outbound

This paper cites Parameter-efficient fine-tuning for pre-trained vision models: A survey.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Parameter-efficient fine-tuning for pre-trained vision models: A survey

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:23.601904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4bb937e-9f79-4d3f-a555-88da28b9a294 · outbound

This paper cites Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:23.606295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3581977-98a9-40e7-8023-8914219f26dc · outbound

This paper cites FILIP: Fine-grained Interactive Language-Image Pre-Training.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:23.611194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75a2b736-9166-4320-a545-def1890bf03d · outbound

This paper cites C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:23.615948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab204502-80a2-4b8c-9568-70939bdf1b86 · outbound

This paper cites CoCa: Contrastive Captioners are Image-Text Foundation Models.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models CoCa: Contrastive Captioners are Image-Text Foundation Models

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:23.621180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57785fe0-aff6-4a0a-91c5-ed92ae0a1ff9 · outbound

This paper cites Low-rank few-shot adaptation of vision-language models.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Low-rank few-shot adaptation of vision-language models

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:25.552755Z

Source-reported events for the cited work

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

Observation 6526d233-98a4-426d-b051-e3606ec44d1e · outbound

This paper cites an unresolved cited work.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Unresolved cited work

Reference 69

Resolution: unresolved; raw_fallback, observed 2026-08-09T13:31:25.533683Z

Source-reported events for the cited work

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

Observation 47d589d3-91d1-4f9a-9ad0-423df96a0507 · outbound

This paper cites Vision-language models for vision tasks: A survey.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Vision-language models for vision tasks: A survey

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:23.634553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3063c1a-b051-4f7a-b092-ee698dc11b00 · outbound

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

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Memo: Test time robustness via adaptation and augmentation

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:25.503298Z

Source-reported events for the cited work

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

Observation dffebce4-ebda-46e0-8315-c3b62f374b2a · outbound

This paper cites AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:23.643560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef377054-74ec-4d64-bdbb-319de9ee1ab2 · outbound

This paper cites Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:23.648287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a612bfc-0771-4770-9b93-b492d7b8f1de · outbound

This paper cites Conditional prompt learning for vision-language mod- els.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Conditional prompt learning for vision-language mod- els

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:23.653116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff66fd31-2d6a-474a-97f1-c619bdfab319 · outbound

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

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Learning to prompt for vision-language models

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:23.658585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6872e3d6-2329-47f7-be40-58a96437ed28 · outbound

This paper cites Prompt-aligned gradient for prompt tuning.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Prompt-aligned gradient for prompt tuning

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:25.458349Z

Source-reported events for the cited work

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

Observation 8e793c76-69ca-4379-b817-214482b3dd3b · outbound

This paper cites Melo: Low-rank adaptation is better than fine-tuning for medical image diagnosis.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Melo: Low-rank adaptation is better than fine-tuning for medical image diagnosis

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:25.442615Z

Source-reported events for the cited work

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

Pith citing papers

Observation 513629b7-bc58-4a92-af9a-8d3b1be8e9c1 · inbound

Concordia: JIT-Compiled Persistent-Kernel Checkpointing for Fault-Tolerant LLM Inference cites this paper.

Concordia: JIT-Compiled Persistent-Kernel Checkpointing for Fault-Tolerant LLM Inference LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T11:59:51.626278Z

Source-reported events for the cited work

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

Observation 29055660-129f-4ab6-9e1c-fa8e33b74c50 · inbound

A probabilistic framework for online test-time adaptation cites this paper.

A probabilistic framework for online test-time adaptation LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:39:57.440765Z

Source-reported events for the cited work

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

Observation efe58a44-9f64-4e3c-b805-5f9cd61108d4 · inbound

MixTTA: Low-Rank Cross-Channel Mixing for Reliable Test-Time Adaptation cites this paper.

MixTTA: Low-Rank Cross-Channel Mixing for Reliable Test-Time Adaptation LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T19:13:52.848424Z

Source-reported events for the cited work

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

Observation 79fd9eb2-89f9-45a6-881c-b20462b91680 · inbound

MixTTA: Low-Rank Cross-Channel Mixing for Reliable Test-Time Adaptation cites this paper.

MixTTA: Low-Rank Cross-Channel Mixing for Reliable Test-Time Adaptation LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T06:45:29.799839Z

Source-reported events for the cited work

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