Paper Citation Record · LEDGER

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation

As of 18 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 2 inbound Pith citation observations for arXiv:2506.17307.

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

pith.paper-citation-record.v1
2506.17307 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:52:27.051910Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:18:43.364366Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T16:36:09.418444Z

Reference resolution

28 of 28 outbound references displayed

verified exact4
verified fuzzy12
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d61c2e25-e119-4949-8f76-3ea8e0dbc175 · outbound

This paper cites 8b, this step only involved CPNet, CLIP image encoder and proposed DAF.

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation 8b, this step only involved CPNet, CLIP image encoder and proposed DAF

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:27.291579Z

Source-reported events for the cited work

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

Observation 49429007-5936-4e88-a1e6-1b97330ee611 · outbound

This paper cites Vision Transformer Adapter for Dense Predictions.

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation Vision Transformer Adapter for Dense Predictions

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T19:52:26.956283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61ea798f-5748-4277-973f-80070022d4a1 · outbound

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

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation Imagenet: A large-scale hierarchical image database

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:27.382487Z

Source-reported events for the cited work

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

Observation be67431d-1b36-4761-9c29-5c84c0b14b93 · outbound

This paper cites In Search of Lost Domain Generalization.

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation In Search of Lost Domain Generalization

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T19:52:26.971904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 583cd4d4-a83d-4a5f-9dcb-a898bbf56e1e · outbound

This paper cites E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning.

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T19:52:26.979052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 274fe088-8f4c-4269-8fbb-28e3029c22c3 · outbound

This paper cites Deep domain generalization via conditional invariant adversarial networks.

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation Deep domain generalization via conditional invariant adversarial networks

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:27.361962Z

Source-reported events for the cited work

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

Observation d8622a1c-b535-467a-a80f-5c498b036d68 · outbound

This paper cites Introducing Intermediate Domains for Effective Self-Training during Test-Time.

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation Introducing Intermediate Domains for Effective Self-Training during Test-Time

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-15T19:52:27.183142Z

Source-reported events for the cited work

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

Observation ce2435e0-b95d-40b5-8f53-cb9fab4dcf52 · outbound

This paper cites Universal Test-time Adaptation through Weight Ensembling, Diversity Weighting, and Prior Correction.

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation Universal Test-time Adaptation through Weight Ensembling, Diversity Weighting, and Prior Correction

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-15T19:52:27.166824Z

Source-reported events for the cited work

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

Observation 404ca311-2e7f-424c-adc4-b8363bfbd63c · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation DINOv2: Learning Robust Visual Features without Supervision

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T19:52:26.995412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 688410b5-55d9-47d2-abe0-5a75f4ee6440 · outbound

This paper cites On the adversarial risk of test time adaptation: An investigation into realistic test-time data poisoning, 2024a.

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation On the adversarial risk of test time adaptation: An investigation into realistic test-time data poisoning, 2024a

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:27.350229Z

Source-reported events for the cited work

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

Observation b30897cd-b146-42f9-b378-8218ff217f34 · outbound

This paper cites Cross-Domain Few-Shot Classification via Adversarial Task Augmentation.

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation Cross-Domain Few-Shot Classification via Adversarial Task Augmentation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T19:52:27.002736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1552d33f-7bf5-4cff-842f-3d66cb0e6d67 · outbound

This paper cites Conditional Mutual Information Constrained Deep Learning for Classification.

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation Conditional Mutual Information Constrained Deep Learning for Classification

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T19:52:27.009776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53306b9f-0f71-4a09-b26c-2574af767b8b · outbound

This paper cites Conditional mutual information constrained deep learning: Framework and preliminary results.

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation Conditional mutual information constrained deep learning: Framework and preliminary results

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:27.326458Z

Source-reported events for the cited work

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

Observation 0b417c46-adaa-41b6-8ba1-f79b5af0cd90 · outbound

This paper cites Parameter-efficient is not sufficient: Exploring Parameter, Memory, and Time Efficient Adapter Tuning for Dense Predictions.

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation Parameter-efficient is not sufficient: Exploring Parameter, Memory, and Time Efficient Adapter Tuning for Dense Predictions

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T19:52:27.017100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6364d07a-63ad-48a3-8596-9ac4a95a4e7e · outbound

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

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T19:52:27.021095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de19135a-7f19-4ab8-909d-25f554de14bb · outbound

This paper cites Domain Prompt Learning for Efficiently Adapting CLIP to Unseen Domains.

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation Domain Prompt Learning for Efficiently Adapting CLIP to Unseen Domains

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T19:52:27.024652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8107183c-14b3-4757-b485-a4d31aec5c6f · outbound

This paper cites A Survey of Unsupervised Domain Adaptation for Visual Recognition.

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation A Survey of Unsupervised Domain Adaptation for Visual Recognition

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-15T19:52:27.086691Z

Source-reported events for the cited work

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

Observation 66299e98-178c-445f-a732-2511179d4025 · outbound

This paper cites Delta: Degradation-free fully test-time adaptation.

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation Delta: Degradation-free fully test-time adaptation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:27.314570Z

Source-reported events for the cited work

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

Observation c320f8f0-2b5b-4299-b237-74b864dda080 · outbound

This paper cites However, when the downstream dataset significantly diverges from the pre-training, the load on our CPNet increases, necessitating a larger network.

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation However, when the downstream dataset significantly diverges from the pre-training, the load on our CPNet increases, necessitating a larger network

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:27.303362Z

Source-reported events for the cited work

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

Observation be21917b-fcd7-49c6-9d3c-31d65845c9a2 · outbound

This paper cites an unresolved cited work.

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:52:27.280528Z

Source-reported events for the cited work

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

Observation 6d3abd4f-a24f-456f-a578-cf310ab9c23d · outbound

This paper cites We set the batch size as 64 (12 images for support and 52 images for query set).

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation We set the batch size as 64 (12 images for support and 52 images for query set)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:27.269248Z

Source-reported events for the cited work

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

Observation a34dd771-5fdd-4787-b39c-969eca7019e0 · outbound

This paper cites FMoW: We use 14 text prompt templates from FLYP (Goyal et al., 2023).

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation FMoW: We use 14 text prompt templates from FLYP (Goyal et al., 2023)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:27.257907Z

Source-reported events for the cited work

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

Observation a609a5c6-13f8-4bf5-b4d8-53d4da5fc7a0 · outbound

This paper cites The iWildCam 2021 Competition Dataset.

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation The iWildCam 2021 Competition Dataset

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-15T19:52:26.951605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5d71ded-0735-4c89-bedc-c2cfdce769b0 · outbound

This paper cites A broader study of cross-domain few-shot learning.

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation A broader study of cross-domain few-shot learning

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:27.372139Z

Source-reported events for the cited work

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

Observation 8ab57e04-f7b5-4647-8011-5f5525b02a4f · outbound

This paper cites A Privacy-Preserving Unsupervised Domain Adaptation Framework for Clinical Text Analysis.

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation A Privacy-Preserving Unsupervised Domain Adaptation Framework for Clinical Text Analysis

Reference 2021

Resolution: verified exact; local_arxiv, observed 2026-08-15T19:52:27.246966Z

Source-reported events for the cited work

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

Observation c0f1c88d-e292-4003-88b3-6170cf62701c · outbound

This paper cites Improving ProtoNet for Few-Shot Video Object Recognition: Winner of ORBIT Challenge 2022.

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation Improving ProtoNet for Few-Shot Video Object Recognition: Winner of ORBIT Challenge 2022

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-15T19:52:26.968089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4a36523-f074-4828-88d0-8e8469211616 · outbound

This paper cites Test-time domain adaptation by learning domain-aware batch normalization.

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation Test-time domain adaptation by learning domain-aware batch normalization

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:27.338473Z

Source-reported events for the cited work

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

Observation 3336f1b0-18e1-4aa2-aaf0-95dd4884d194 · outbound

This paper cites Distribution-aware prompt tuning for vision- language models.

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation Distribution-aware prompt tuning for vision- language models

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:27.393660Z

Source-reported events for the cited work

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

Pith citing papers

Observation 919d2c6c-5556-4503-af56-b14b3b72d9b1 · inbound

Plug-in Feedback Self-adaptive Attention in CLIP for Training-free Open-Vocabulary Segmentation cites this paper.

Plug-in Feedback Self-adaptive Attention in CLIP for Training-free Open-Vocabulary Segmentation Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T15:18:43.364366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba38c3da-57c4-4619-8e40-178def629e9e · inbound

Plug-and-play Class-aware Knowledge Injection for Prompt Learning with Visual-Language Model cites this paper.

Plug-and-play Class-aware Knowledge Injection for Prompt Learning with Visual-Language Model Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:36:09.421182Z

Source-reported events for the cited work

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