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Paper Citation Record · LEDGER

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification

As of 11 August 2026, this Paper Citation Record lists 80 of 80 outbound references and 0 inbound Pith citation observations for arXiv:2501.15040.

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

pith.paper-citation-record.v1
2501.15040 v1

Coverage vector

measured 80 of 80 reference resolution

Typed states for the displayed outbound observations.

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measured 80 of 80 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

80 of 80 outbound references displayed

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External citation measurements

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Outbound references

Observation 47f130fa-206f-4f0e-9b30-cb3211eab187 · outbound

This paper cites In- trinsic dimensionality explains the effectiveness of language model fine-tuning.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification In- trinsic dimensionality explains the effectiveness of language model fine-tuning

Reference 1

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Observation 3a342b95-3c45-45b3-a9b1-083425223538 · outbound

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

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Flamingo: a visual language model for few-shot learning

Reference 2

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Observation 84120b6f-6c81-4710-850c-a9e4bdc17bc9 · outbound

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

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Food-101–mining discriminative components with random forests

Reference 3

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Observation 86821058-c9fd-4d6f-8d29-9109b89b2907 · outbound

This paper cites Convex Optimiza- tion.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Convex Optimiza- tion

Reference 4

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Observation 6fe97e3b-77a1-4e57-bc28-2a61d8f766df · outbound

This paper cites Olora: Orthonormal low-rank adapta- tion of large language models, 2024.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Olora: Orthonormal low-rank adapta- tion of large language models, 2024

Reference 5

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Observation 105bdf11-c6a9-450e-877d-7088c31ad8f4 · outbound

This paper cites Domain prompt learning with quaternion networks.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Domain prompt learning with quaternion networks

Reference 6

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Observation e41adc14-73c7-4750-8d44-e3703255ce2a · outbound

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

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Plot: Prompt learning with optimal transport for vision-language models

Reference 7

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Observation 957d5fad-420f-486d-96cd-0f3554594093 · outbound

This paper cites Unleashing the power of meta-tuning for few-shot generalization through sparse interpolated experts.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Unleashing the power of meta-tuning for few-shot generalization through sparse interpolated experts

Reference 8

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Observation d184e49c-d519-4ba0-9965-335de03c747e · outbound

This paper cites Describing textures in the wild.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Describing textures in the wild

Reference 9

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Observation a80b9340-2fc2-49c0-bbb6-7e2bcd0bffb0 · outbound

This paper cites Har- monizing generalization and personalization in federated prompt learning.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Har- monizing generalization and personalization in federated prompt learning

Reference 10

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Observation c053197e-cfb4-439d-bbdc-d89d08086d24 · outbound

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

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Imagenet: A large-scale hierarchical image database

Reference 11

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Observation 3f2cc6b6-ad61-4046-8a88-04388e7d264d · outbound

This paper cites QLoRA: Efficient Finetuning of Quantized LLMs.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification QLoRA: Efficient Finetuning of Quantized LLMs

Reference 12

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Observation 53c2e2b7-2e0c-4743-a7f6-323a99a6a594 · outbound

This paper cites A baseline for few-shot image clas- sification.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification A baseline for few-shot image clas- sification

Reference 13

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Observation 4b22896a-d55a-4b25-8019-e8715dd801c8 · outbound

This paper cites Domain-agnostic mutual prompting for unsuper- vised domain adaptation.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Domain-agnostic mutual prompting for unsuper- vised domain adaptation

Reference 14

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Observation 25f7da50-dce5-48bc-84e5-b1d9e14ffcce · outbound

This paper cites Learning gener- ative visual models from few training examples: An incre- mental bayesian approach tested on 101 object categories.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Learning gener- ative visual models from few training examples: An incre- mental bayesian approach tested on 101 object categories

Reference 15

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Observation a3ddc7a1-7e8b-40a7-ba5e-cbe0c53e4421 · outbound

This paper cites Instance-based max-margin for practical few-shot recognition.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Instance-based max-margin for practical few-shot recognition

Reference 16

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Observation c7b64bd2-6947-4594-a1e1-c28ce0474d74 · outbound

This paper cites ROSA: Random orthogonal subspace adaptation.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification ROSA: Random orthogonal subspace adaptation

Reference 17

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Observation 204c2b4f-d1b9-4777-b58f-5f0c42760376 · outbound

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

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Clip-adapter: Better vision-language models with feature adapters

Reference 18

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Observation 2e144c7b-465e-4deb-a633-c415321b8018 · outbound

This paper cites Parameter-efficient fine-tuning with discrete fourier transform.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Parameter-efficient fine-tuning with discrete fourier transform

Reference 19

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Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Unresolved cited work

Reference 20

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Observation 904bdd7d-35bb-4e8d-975b-d41d8c923961 · outbound

This paper cites Exploring the frontier of vision- language models: A survey of current methodologies and future directions, 2024.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Exploring the frontier of vision- language models: A survey of current methodologies and future directions, 2024

Reference 21

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Observation 92f96b73-2f54-40bf-9309-21f07791c1c9 · outbound

This paper cites Anchor- based robust finetuning of vision-language models.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Anchor- based robust finetuning of vision-language models

Reference 22

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Observation bae47e86-7c61-459e-a64d-bdf73eb60ab0 · outbound

This paper cites LoRA+: Effi- cient low rank adaptation of large models.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification LoRA+: Effi- cient low rank adaptation of large models

Reference 23

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Observation 90d8efb1-3dff-4db1-bf72-eb9235165801 · outbound

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

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification

Reference 24

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Observation 5d7aa6ab-240c-404a-b956-373794b43226 · outbound

This paper cites LoRA: Low-rank adaptation of large language models.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification LoRA: Low-rank adaptation of large language models

Reference 25

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Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification van Rijn

Reference 26

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Observation 0b9c02fd-c1bb-4596-81b2-e939e1f374bd · outbound

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

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Scaling up visual and vision-language representa- tion learning with noisy text supervision

Reference 27

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This paper cites Singular Value Decomposition , pages 1174–1177.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Singular Value Decomposition , pages 1174–1177

Reference 28

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Observation ac77f369-9cfe-42e2-a74e-ad526af3c465 · outbound

This paper cites Combining weakly and webly supervised learning for classifying food images, 2017.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Combining weakly and webly supervised learning for classifying food images, 2017

Reference 29

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Observation 8bfe1be8-ef4f-4894-868a-9e604b29bb78 · outbound

This paper cites Maple: Multi-modal prompt learning.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Maple: Multi-modal prompt learning

Reference 30

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Observation 93fa8279-e5f1-4f46-9912-248f54a9a260 · outbound

This paper cites Self-regulating prompts: Foundational model adaptation without forgetting.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Self-regulating prompts: Foundational model adaptation without forgetting

Reference 31

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Observation 259882d9-2fe1-40a4-8fc3-d1853d95a2b5 · outbound

This paper cites Memory-efficient fine-tuning of compressed large language models via sub-4-bit integer quantization, 2023.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Memory-efficient fine-tuning of compressed large language models via sub-4-bit integer quantization, 2023

Reference 32

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Observation 4e328761-d1ba-40b6-acbc-b5b434727ca3 · outbound

This paper cites NOLA: Compressing lora using linear combination of random ba- sis.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification NOLA: Compressing lora using linear combination of random ba- sis

Reference 33

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Source-reported events for the cited work

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Observation 89009ac0-10d5-498e-8ff3-ac6f5c41490a · outbound

This paper cites VeRA: Vector-based random matrix adaptation.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification VeRA: Vector-based random matrix adaptation

Reference 34

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verified fuzzy
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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.

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Observation c83956ab-dd7d-481b-86dc-c1cb358ce5a5 · outbound

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

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification 3d object representations for fine-grained categorization

Reference 35

Resolution
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no resolver link, observed 2026-08-10T14:45:16.452940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bdb5947c-c44f-461d-b258-813ac27b556c · outbound

This paper cites Beyond max-margin: Class margin equi- librium for few-shot object detection.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Beyond max-margin: Class margin equi- librium for few-shot object detection

Reference 36

Resolution
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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.

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Observation e6e293c2-e9ca-4c93-b0f8-f39e10102d4a · outbound

This paper cites Measuring the intrinsic dimension of objective landscapes.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Measuring the intrinsic dimension of objective landscapes

Reference 37

Resolution
verified fuzzy
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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.

source=pdf_text observed=2026-08-10T14:45:16.460976Z digest=sha256:bbeff6e9c51595367cc90a0e0088c08e29afd54cf829e18bda0cc53d18dc9088

Observation aebec4aa-5e7a-48f7-a283-ccbc974ace94 · outbound

This paper cites Inflora: Interference-free low-rank adaptation for continual learning.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Inflora: Interference-free low-rank adaptation for continual learning

Reference 38

Resolution
verified fuzzy
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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.

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Observation a879229b-0125-48c9-b503-ee04768566dc · outbound

This paper cites Svft: Parameter-efficient fine-tuning with singular vectors,.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Svft: Parameter-efficient fine-tuning with singular vectors,

Reference 39

Resolution
verified fuzzy
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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.

source=pdf_text observed=2026-08-10T14:45:16.468347Z digest=sha256:ecbabd91588a186faa7582c3b4cb1e2fd06b54a77582e43b125666a9c5506ba4

Observation 710d605d-e70a-4752-bc02-255a7aa131f6 · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Fine-Grained Visual Classification of Aircraft

Reference 40

Resolution
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no resolver link, observed 2026-08-10T14:45:16.472256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8f274c4e-cf6b-4567-b36b-157b77ab5674 · outbound

This paper cites Transductive zero-shot and few-shot clip.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Transductive zero-shot and few-shot clip

Reference 41

Resolution
verified fuzzy
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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.

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Observation da8a0ddc-c3f5-49eb-9fff-8cb464f1f720 · outbound

This paper cites PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models

Reference 42

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:45:16.480438Z digest=sha256:a170d9976866444d4a3c7e37be697f61cf99bc80d3b69ad12bbfbae0c9107f5a

Observation 989bd6ae-919c-491f-82f9-cc2bc803163b · outbound

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

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Automated flower classification over a large number of classes

Reference 43

Resolution
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no resolver link, observed 2026-08-10T14:45:16.484512Z

Source-reported events for the cited work

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Observation d9ebf439-e76c-42b5-8292-abc9f1e5ccf4 · outbound

This paper cites Black box few-shot adaptation for vision- language models.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Black box few-shot adaptation for vision- language models

Reference 44

Resolution
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no resolver link, observed 2026-08-10T14:45:16.488237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 25ccee9d-09e5-4813-ad19-e43e9110c07d · outbound

This paper cites an unresolved cited work.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Unresolved cited work

Reference 45

Resolution
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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.

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Observation d5817a7e-bc45-41ba-ae8a-aee8d7c14d7e · outbound

This paper cites Cats and dogs.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Cats and dogs

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:45:17.158375Z

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.

source=pdf_text observed=2026-08-10T14:45:16.496206Z digest=sha256:d85a71e318f1778f85e5dcb5f90e60ac7ce0c5ac3290e057e7103c507e861f70

Observation 9f78c6ee-5748-4134-b644-440497d288cb · outbound

This paper cites an unresolved cited work.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-10T14:45:17.147188Z

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.

source=pdf_text observed=2026-08-10T14:45:16.500030Z digest=sha256:cfbcebcf828054ac27d3a7f4e1d7b41dc9e15eaa470d277005333f55ed76124a

Observation c4562522-bebc-4171-ad7b-5dba0a083ce0 · outbound

This paper cites Semi- orthogonal low-rank matrix factorization for deep neural net- works.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Semi- orthogonal low-rank matrix factorization for deep neural net- works

Reference 48

Resolution
verified fuzzy
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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.

source=pdf_text observed=2026-08-10T14:45:16.503668Z digest=sha256:864179cc27f6a9b7f3d488b820137d64bdf8ea792e4b6f31073cb13d279e3b16

Observation 180408b1-526e-49ba-8588-a734448bf900 · outbound

This paper cites Learning transferable visual models from natural language supervision, 2021.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Learning transferable visual models from natural language supervision, 2021

Reference 49

Resolution
verified fuzzy
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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.

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Observation b9cff031-89b6-4e38-8a7a-fdb4c491f279 · outbound

This paper cites Low-rank matrix factorization for deep neural network training with high- dimensional output targets.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Low-rank matrix factorization for deep neural network training with high- dimensional output targets

Reference 50

Resolution
verified fuzzy
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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.

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Observation 6bd6cbd6-52bc-42f3-930c-4013f91aa9a7 · outbound

This paper cites Model-agnostic graph regularization for few-shot learning, 2021.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Model-agnostic graph regularization for few-shot learning, 2021

Reference 51

Resolution
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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.

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Observation 575c10ae-f87e-4643-9e58-64d8ec42dd52 · outbound

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

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 52

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bb01bedf-15d9-49a4-8ce5-dcc6b7c6e53e · outbound

This paper cites Block- mix: Meta regularization and self-calibrated inference for metric-based meta-learning.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Block- mix: Meta regularization and self-calibrated inference for metric-based meta-learning

Reference 53

Resolution
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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.

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Observation d3abf26c-6490-4c54-bf3e-406b2b380244 · outbound

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

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Argue: Attribute-guided prompt tuning for vision-language models

Reference 54

Resolution
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raw_fallback, observed 2026-08-10T14:45:17.078801Z

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.

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Observation 2fb8abb7-41d1-4721-86fe-00997f956e9c · outbound

This paper cites Attention is all you need.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Attention is all you need

Reference 55

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no resolver link, observed 2026-08-10T14:45:16.531312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 669211de-460e-4bd9-87b5-0a3bbb6295a5 · outbound

This paper cites Lora-ga: Low-rank adaptation with gradient approximation, 2024.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Lora-ga: Low-rank adaptation with gradient approximation, 2024

Reference 56

Resolution
verified fuzzy
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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.

source=pdf_text observed=2026-08-10T14:45:16.535665Z digest=sha256:d72dad6cf1f59fd9a5042de60234720996a24a4d6ee91d065717cd31279aae55

Observation d89b4dfb-79a1-4256-9720-492f75637767 · outbound

This paper cites Orthogonal Subspace Learning for Language Model Continual Learning.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Orthogonal Subspace Learning for Language Model Continual Learning

Reference 57

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:45:16.539449Z digest=sha256:5eccdef8e67d462a521848a81e6d7d71a2eac46fc5ff8970d9dd167095e9cd30

Observation 68433156-3cbe-4ed4-aba4-4727390bb7c1 · outbound

This paper cites LoRA-Pro: Are Low-Rank Adapters Properly Optimized?.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification LoRA-Pro: Are Low-Rank Adapters Properly Optimized?

Reference 58

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 40cbddb7-1ee9-4506-ba17-0bc4e6ed7836 · outbound

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

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Sun database: Large-scale scene recognition from abbey to zoo

Reference 59

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:45:16.547697Z digest=sha256:9c717314f840de3818cdc08136e8ce53a7ea6987317111d211718cc3d616ad2b

Observation a6e7b566-d479-4469-8c3f-713a64af0c25 · outbound

This paper cites an unresolved cited work.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-10T14:45:17.041557Z

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.

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Observation fd857069-08a9-4841-ad3d-113a2480dc13 · outbound

This paper cites Mma: Multi-modal adapter for vision-language models.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Mma: Multi-modal adapter for vision-language models

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:45:17.030359Z

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.

source=pdf_text observed=2026-08-10T14:45:16.555338Z digest=sha256:96f825807bd4477bf388c1fa62e1230cbc3c106b605c416a9f9df872ba268217

Observation 5db40480-3482-43b3-b381-4150b4bb2aa8 · outbound

This paper cites Visual- language prompt tuning with knowledge-guided context op- timization.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Visual- language prompt tuning with knowledge-guided context op- timization

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:45:17.018899Z

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.

source=pdf_text observed=2026-08-10T14:45:16.559116Z digest=sha256:e081612991f6026f4c8ec3087af79493a1b6f17116e3d5f824a0b07a6286653b

Observation 6e52d44d-3d68-486b-b6a3-a21bf002e1b2 · outbound

This paper cites Tcp:textual- based class-aware prompt tuning for visual-language model.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Tcp:textual- based class-aware prompt tuning for visual-language model

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:45:17.004982Z

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.

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Observation 89df4e24-385c-47dc-a75d-d962839bc3c2 · outbound

This paper cites Lever- aging cross-modal neighbor representation for improved clip classification.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Lever- aging cross-modal neighbor representation for improved clip classification

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:45:16.993626Z

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.

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Observation 21f4ca9a-62af-4b40-97f9-b3bc13efe64b · outbound

This paper cites Task residual for tuning vision-language models.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Task residual for tuning vision-language models

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:45:16.982555Z

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.

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Observation 04c97d73-7f85-49fc-8b51-a91f0531bc7e · outbound

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

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Low-rank few-shot adaptation of vision-language models

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:45:16.970506Z

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.

source=pdf_text observed=2026-08-10T14:45:16.576520Z digest=sha256:a0f418a8288f490cca99c398a2302ecc50a02b92addf91aab29523d35ccd2291

Observation 298704d4-d220-4af6-a948-1c0b1c105764 · outbound

This paper cites Sim- ple semantic-aided few-shot learning.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Sim- ple semantic-aided few-shot learning

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:45:16.959116Z

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.

source=pdf_text observed=2026-08-10T14:45:16.580522Z digest=sha256:c4a5646184e2d73552c6d3408811c611c7609183001092563ea20d952244b588

Observation 852c16d9-b17b-4569-8634-b756d3c3cb76 · outbound

This paper cites Dept: Decoupled prompt tuning.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Dept: Decoupled prompt tuning

Reference 68

Resolution
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no resolver link, observed 2026-08-10T14:45:16.584225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:45:16.584225Z digest=sha256:0f3c154073625f83ce81534019cd62d178f63bdb91dc803ebd8dfa80b59c2c44

Observation ad63875f-12da-4c9a-ace8-308dc4f31efd · outbound

This paper cites Adaptive budget allocation for parameter-efficient fine- tuning.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Adaptive budget allocation for parameter-efficient fine- tuning

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:45:16.941788Z

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.

source=pdf_text observed=2026-08-10T14:45:16.587957Z digest=sha256:ebe3ae9ec7f9389a8b43c63b6ccc7829f67ac6f1d4a783889fc80b133908de59

Observation 1a35c2c8-e093-4547-abc7-5617ea6b5dea · outbound

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

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Tip- adapter: Training-free adaption of clip for few-shot classifi- cation

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:45:16.931854Z

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.

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Observation b4525f10-aad3-415b-b316-f556b48fb375 · outbound

This paper cites Ex- tracting deep neural network bottleneck features using low- rank matrix factorization.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Ex- tracting deep neural network bottleneck features using low- rank matrix factorization

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:45:16.921406Z

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.

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Observation d72cd8b5-6488-4e09-b130-08ebc8604cdc · outbound

This paper cites Large language models are good prompt learners for low-shot image classification.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Large language models are good prompt learners for low-shot image classification

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:45:16.910812Z

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.

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Observation b013430f-6171-433f-8e28-0e0d1f332e67 · outbound

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

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Conditional prompt learning for vision-language models

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:45:16.899434Z

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.

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Observation 85688f36-2f8d-4d70-8de2-4584305be64c · outbound

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

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Learning to prompt for vision-language models

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:45:16.888345Z

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.

source=pdf_text observed=2026-08-10T14:45:16.606962Z digest=sha256:70cbaa1196df8d4961e85ced81ebc8d19a016b2e197cf03c902223c1b319f543

Observation 6932b712-6041-4660-8d9a-e2112eb4d5d9 · outbound

This paper cites Prompt-aligned gradient for prompt tuning.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Prompt-aligned gradient for prompt tuning

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:45:16.875906Z

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.

source=pdf_text observed=2026-08-10T14:45:16.610654Z digest=sha256:818915c91b054339b50b72c8f40baec94a4891d96874a7dd396810a2b8caba0d

Observation 90e5a0c7-bcc0-4c1b-a225-2d1c7bc21706 · outbound

This paper cites Not all features mat- ter: Enhancing few-shot clip with adaptive prior refinement.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Not all features mat- ter: Enhancing few-shot clip with adaptive prior refinement

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:45:16.863408Z

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.

source=pdf_text observed=2026-08-10T14:45:16.614245Z digest=sha256:dab7007e4bc8b49fcb32a0f8757322db14b6210be001c6b1d244e2b3f3a7edf6

Observation ed9de738-88b5-49ff-abf3-0c7108e281b6 · outbound

This paper cites Laplacian regularized few-shot learning, 2021.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Laplacian regularized few-shot learning, 2021

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:45:16.852633Z

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.

source=pdf_text observed=2026-08-10T14:45:16.618234Z digest=sha256:1372b21c99e72f7ffa8efb8aef6a927f0b8ac3b17a075a3c8e0f5965d2eaa6a2

Observation ae60a9b6-f617-4f0c-ac04-a03fbad12282 · outbound

This paper cites an unresolved cited work.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Unresolved cited work

Reference 78

Resolution
unresolved
raw_fallback, observed 2026-08-10T14:45:16.842111Z

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.

source=pdf_text observed=2026-08-10T14:45:16.621855Z digest=sha256:ca58c686b1a1dc26bac7036e8d445340ae6c3cf74645e48c03024940da2f40ba

Observation 7865c22f-eb83-45c3-9952-6a59056d6460 · outbound

This paper cites an unresolved cited work.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Unresolved cited work

Reference 79

Resolution
unresolved
raw_fallback, observed 2026-08-10T14:45:16.831536Z

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.

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Observation 8c0d9668-ec0a-4747-afc1-4a8c8bf335ff · outbound

This paper cites 7 to 16, the univariate experiment on other experiments presents similar trend to that of ImageNet in Fig.

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification 7 to 16, the univariate experiment on other experiments presents similar trend to that of ImageNet in Fig

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:45:16.820341Z

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.

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Pith citing papers

No inbound Pith citation observations are available.