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Paper Citation Record · LEDGER

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection

As of 8 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2604.21728.

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

pith.paper-citation-record.v1
2604.21728 v2

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-09T21:43:39.755614Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

56 of 56 outbound references displayed

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  • unresolved3
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cf6632dc-9dde-4409-a10d-7dff25e544db · outbound

This paper cites Layer Normalization.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Layer Normalization

Reference 1

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Observation abcac74c-fbd5-468a-a0a5-cfbd953e4df5 · outbound

This paper cites Adaptive test-time personalization for federated learning.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Adaptive test-time personalization for federated learning

Reference 2

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Observation 771a1d31-5502-4a0d-a6f4-6323dfa73067 · outbound

This paper cites Mint: A sim- ple test-time adaptation of vision-language models against common corruptions.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Mint: A sim- ple test-time adaptation of vision-language models against common corruptions

Reference 3

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Observation 490d4095-6778-461c-a156-7fa3d9f8f3ec · outbound

This paper cites Latte: Collaborative test-time adaptation of vision-language models in federated learning.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Latte: Collaborative test-time adaptation of vision-language models in federated learning

Reference 4

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Source-reported events for the cited work

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Observation 9b1d0eff-bc86-4261-8fb4-868e6efe2a14 · outbound

This paper cites Matcha: Mitigating graph structure shifts with test-time adaptation.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Matcha: Mitigating graph structure shifts with test-time adaptation

Reference 5

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Source-reported events for the cited work

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Observation acb48af8-d51f-445e-aa1d-d04eb0493c97 · outbound

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

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Food-101 - mining discriminative components with random forests

Reference 6

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Source-reported events for the cited work

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Observation bc0e72cc-1111-4f7e-aae8-37496f641d13 · outbound

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

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Imagenet: A large-scale hierarchical image database

Reference 7

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Source-reported events for the cited work

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Observation 20275ff6-5497-4c8e-90bb-39d580c76cf3 · outbound

This paper cites Panda: Test-time adaptation with negative data augmenta- tion.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Panda: Test-time adaptation with negative data augmenta- tion

Reference 8

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Source-reported events for the cited work

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Observation 0869bea3-10f6-47e3-bb6b-1600ae30b81c · outbound

This paper cites Marsden, Tobias Raichle, and Bin Yang.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Marsden, Tobias Raichle, and Bin Yang

Reference 9

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Source-reported events for the cited work

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Observation fb1dcfad-7b19-404b-b705-383fd74b0e32 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection An image is worth 16x16 words: Transformers for image recognition at scale

Reference 10

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Observation e086e043-64e7-482a-8743-312a0ce72992 · outbound

This paper cites an unresolved cited work.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Unresolved cited work

Reference 11

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Source-reported events for the cited work

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Observation 6baf8196-0ca0-4d08-9697-ab672282191a · outbound

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

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Frustratingly easy test-time adaptation of vision-language models

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 9ef429f4-4512-45d7-82b1-82d40f0d74cd · outbound

This paper cites NOTE: robust continual test-time adaptation against temporal correlation.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection NOTE: robust continual test-time adaptation against temporal correlation

Reference 13

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Source-reported events for the cited work

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Observation 0de28f34-272a-4eda-bc6e-5ee67bf08b21 · outbound

This paper cites Sotta: Robust test-time adaptation on noisy data streams.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Sotta: Robust test-time adaptation on noisy data streams

Reference 14

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Source-reported events for the cited work

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Observation f65da5f7-2bfb-4310-994e-1085ebf5e942 · outbound

This paper cites In search of lost domain generalization.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection In search of lost domain generalization

Reference 15

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Source-reported events for the cited work

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Observation 6dd65607-0b1a-4247-96ec-4afa7b7f94d9 · outbound

This paper cites Cli- partt: Adaptation of CLIP to new domains at test time.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Cli- partt: Adaptation of CLIP to new domains at test time

Reference 16

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Source-reported events for the cited work

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Observation fb29dabb-b18b-4e66-9f87-18c08a8eaf27 · outbound

This paper cites Deep residual learning for image recognition.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Deep residual learning for image recognition

Reference 17

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Source-reported events for the cited work

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Observation d0b879b0-d958-43a8-9edf-dbb21bc5777f · outbound

This paper cites Dietterich.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Dietterich

Reference 18

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Source-reported events for the cited work

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Observation a9605095-faf8-46ec-b9d8-872f5fe5ae7c · outbound

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

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection The many faces of robustness: A crit- ical analysis of out-of-distribution generalization

Reference 19

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Source-reported events for the cited work

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Observation 7f4c5d7e-8483-45f1-aef3-f571749b6a93 · outbound

This paper cites Natural adversarial examples.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Natural adversarial examples

Reference 20

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Source-reported events for the cited work

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Observation d065dd6c-9e4d-4ade-bc1a-d5210bd08913 · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal co- variate shift.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Batch normalization: Accelerating deep network training by reducing internal co- variate shift

Reference 21

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Observation 0522b435-83b1-4983-89f0-788a796ec4f0 · outbound

This paper cites an unresolved cited work.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Unresolved cited work

Reference 22

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Source-reported events for the cited work

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Observation 2bdd0f97-1d93-4bc2-a92c-8a8c79b3d415 · outbound

This paper cites an unresolved cited work.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Unresolved cited work

Reference 23

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Source-reported events for the cited work

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Observation 4e76a6cd-2de1-4771-9281-723c3f961c08 · outbound

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

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Learning multiple layers of features from tiny images

Reference 24

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Source-reported events for the cited work

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Observation ff461ffc-e686-4a32-83f5-48161b6390c5 · outbound

This paper cites Entropy is not enough for test-time adaptation: From the perspective of disentangled factors.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Entropy is not enough for test-time adaptation: From the perspective of disentangled factors

Reference 25

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Source-reported events for the cited work

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Observation 9b6b9fac-101e-4d51-bb2e-f5a03145e0a6 · outbound

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

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection A comprehensive sur- vey on test-time adaptation under distribution shifts.Int

Reference 26

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Source-reported events for the cited work

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Observation 8b3169ca-f5ff-4c0e-95eb-3637c559ccfa · outbound

This paper cites Marsden, Mario D ¨obler, and Bin Yang.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Marsden, Mario D ¨obler, and Bin Yang

Reference 27

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation e3dd11f7-1801-4749-9951-704c10b726f4 · outbound

This paper cites Bag of tricks for fully test-time adaptation.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Bag of tricks for fully test-time adaptation

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a2397524-ecf8-4f0d-8132-1e6c2940b869 · outbound

This paper cites Efficient test-time model adaptation without forgetting.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Efficient test-time model adaptation without forgetting

Reference 29

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Source-reported events for the cited work

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Observation 283d402d-e940-4358-b95f-31f5a93d1b95 · outbound

This paper cites Towards sta- ble test-time adaptation in dynamic wild world.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Towards sta- ble test-time adaptation in dynamic wild world

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d95dea00-ba89-49ea-b43f-42c8580d5407 · outbound

This paper cites Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 08763b91-6071-4280-b319-b5bcb8d5bfe4 · outbound

This paper cites W ATT: weight average test time adaptation of CLIP.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection W ATT: weight average test time adaptation of CLIP

Reference 32

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation dec6da73-dfdd-4a9d-81f3-19e8f84c2c88 · outbound

This paper cites Styleclip: Text-driven manipu- lation of stylegan imagery.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Styleclip: Text-driven manipu- lation of stylegan imagery

Reference 33

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b328307b-ca07-407f-90ee-ba7311396177 · outbound

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

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Moment matching for multi-source domain adaptation

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T15:38:08.630260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T21:43:39.755614Z digest=sha256:05acf78517598f3c1f18974ecdcdf3007bdd683ab75833489ae95c6ebf0b4e5e

Observation 965dcbe5-20e0-497a-bf8a-6ca382f27079 · outbound

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

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Learning transferable visual models from natural language supervision

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T15:38:08.483794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T21:43:39.755614Z digest=sha256:8761dbe54db6681a3f78b45e3cdc5e350f4750cb6c0b7e59be305cd0ebed70f4

Observation a799b41b-6684-4b06-a545-c590f003e6a4 · outbound

This paper cites 1, 2, 6, 7, 17, 18, 24.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection 1, 2, 6, 7, 17, 18, 24

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T15:38:08.523982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T21:43:39.755614Z digest=sha256:6df2a4de7ca665c4f01e36d6f243a293d96ad47583454714e20f4494e35b31f1

Observation 9101ad63-543c-4f36-8a25-92d3bec708e5 · outbound

This paper cites Denseclip: Language-guided dense prediction with context- aware prompting.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Denseclip: Language-guided dense prediction with context- aware prompting

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T15:38:08.545799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T21:43:39.755614Z digest=sha256:e1c672e7ac0cfe6b7397231f7f0bb2a1c14031f79fb382343ffd4d19dd202ffd

Observation c41143d5-ee71-4af2-b371-83bb26075165 · outbound

This paper cites an unresolved cited work.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-05-23T15:38:08.573853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T21:43:39.755614Z digest=sha256:325cebd8ef0be40706bd2d586e1bb849228aac625fa43f34ac2e74a8cd6c93ad

Observation 45b0d437-37fb-4b57-bf81-8e53f254e219 · outbound

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

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Test- time prompt tuning for zero-shot generalization in vision- language models

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T15:38:08.683024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T21:43:39.755614Z digest=sha256:a4bdaf22a764355f093a862f4e5d7d2289c41df4e6863006a6bb8317858ff433

Observation f7a74a2f-e0cf-4d35-bd35-fb6a111402af · outbound

This paper cites Just shift it: Test-time prototype shifting for zero-shot general- ization with vision-language models.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Just shift it: Test-time prototype shifting for zero-shot general- ization with vision-language models

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T15:38:08.674495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T21:43:39.755614Z digest=sha256:281fcea6430c331178d5bfba3361cf1f5e8e962592679e2f6832cb314e646d60

Observation d08296f7-bd0e-4bdb-a783-c272fd9dc64d · outbound

This paper cites Un-mixing test-time normalization statistics: Combatting label temporal correlation.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Un-mixing test-time normalization statistics: Combatting label temporal correlation

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T15:38:08.602117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T21:43:39.755614Z digest=sha256:ba5d14b53a1619c728c133566d730a97ba2139a82b93b1955e1096c1b19f71cc

Observation 501e25da-0796-4e8e-b695-50bec0161fcd · outbound

This paper cites Ol- shausen, and Trevor Darrell.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Ol- shausen, and Trevor Darrell

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T15:38:08.626486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T21:43:39.755614Z digest=sha256:cb2dbbe3b0b3cce7b61b22a43c06ee7b731ba7f1c0e81776ce204f67676dbbc0

Observation 5a9f18d6-8972-494e-bea5-6159b5d3a955 · outbound

This paper cites Lipton, and Eric P.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Lipton, and Eric P

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T15:38:08.582091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T21:43:39.755614Z digest=sha256:1e5b089e2b8eff1362e9a3b1357b5e673305b7fecdff45360ed658c7a354b65c

Observation e87bc796-ee1c-4970-a5db-8ada3edaebfc · outbound

This paper cites Con- tinual test-time domain adaptation.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Con- tinual test-time domain adaptation

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T15:38:08.622687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T21:43:39.755614Z digest=sha256:0205f03d3dfaa9bd6485a4000bf6b2c98ada7eb2d7b8c42bc634b1fa80af7fc3

Observation 91e3f7c8-3ef2-4667-a3ec-e3fd4705b229 · outbound

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

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection In search of lost online test-time adap- tation: A survey.Int

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T15:38:08.606391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T21:43:39.755614Z digest=sha256:a2a64d830c9d787d593c41f9fd41e4fd1dc1d368fe427d2dcb5badab469c19f1

Observation 9e5f34c5-03b7-401f-8ea3-8dfecec83713 · outbound

This paper cites Group normalization.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Group normalization

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T15:38:08.614472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T21:43:39.755614Z digest=sha256:185b3ed41e8fb13edc8b998457e13beb6527f325c0e24341c6e15301050dd8d2

Observation dace3c06-8e66-40d1-94d0-aa7784f4937a · outbound

This paper cites Beyond Model Adaptation at Test Time: A Survey.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Beyond Model Adaptation at Test Time: A Survey

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:31:05.427677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T21:43:39.755614Z digest=sha256:effde11b34abb43e9af8d82514d02652953c4b283b9096a5efcbafbc69caa4e7

Observation 0daaa68d-518d-40fa-8873-65ca4a560c22 · outbound

This paper cites Robust test-time adaptation in dynamic scenarios.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Robust test-time adaptation in dynamic scenarios

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T15:38:08.578284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T21:43:39.755614Z digest=sha256:e6992d7cc7343a216dfd5b51686f93f2c192506a8f5e68fcb1e04323e4a4e4f4

Observation d537d59a-f067-4820-a3d2-ccb516c6c344 · outbound

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

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Realistic test- time adaptation of vision-language models

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T15:38:08.618611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T21:43:39.755614Z digest=sha256:5ca81bde747b7cae44267d374faee58f6dab520eb8b4309d08ef4028a7088a1f

Observation 7dc7a5e2-d0f9-4a54-ae52-7d54f0afbd8f · outbound

This paper cites Subspace alignment for vision-language model test-time adaptation.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Subspace alignment for vision-language model test-time adaptation

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:31:05.434041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T21:43:39.755614Z digest=sha256:c07184cc68771f78f2e1d378396e1c20979e8108bf5ee723257f58318fa5c722

Observation 17eeb514-3900-4598-a904-6b01b9bff9f6 · outbound

This paper cites Root mean square layer nor- malization.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Root mean square layer nor- malization

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T15:38:08.594008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T21:43:39.755614Z digest=sha256:5e545c884909c4e85558803defb0ed5f0507cfb086a430f14c5cbb6a8c478772

Observation ea25b6fa-c3d9-47ed-927f-8b497e52a864 · outbound

This paper cites Tip- adapter: Training-free adaption of CLIP for few-shot classi- fication.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Tip- adapter: Training-free adaption of CLIP for few-shot classi- fication

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T15:38:08.586001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T21:43:39.755614Z digest=sha256:d3b032ffab6430f056c250c56bc4435aa880254f3869e54415f619024608448d

Observation 0797ae89-b561-4267-af93-210f81452834 · outbound

This paper cites Adanpc: Ex- ploring non-parametric classifier for test-time adaptation.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Adanpc: Ex- ploring non-parametric classifier for test-time adaptation

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T15:38:08.598161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T21:43:39.755614Z digest=sha256:77568af8d0db810ee2b409dcc3b0ad115e5a83a779a5c508b86ba70d7186cca0

Observation c49191d4-17c3-4e3d-91b8-2df16a3fa6e8 · outbound

This paper cites Dual memory networks: A ver- satile adaptation approach for vision-language models.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Dual memory networks: A ver- satile adaptation approach for vision-language models

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T15:38:08.590163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T21:43:39.755614Z digest=sha256:43b27a372cf89c4ccd997319dabd79cd64f6ef351a6a38e515503bdc1874e255

Observation 22f7eca3-8b3f-45f9-b346-81c8434362c8 · outbound

This paper cites Regionclip: Region-based language-image pretraining.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Regionclip: Region-based language-image pretraining

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T15:38:08.678717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T21:43:39.755614Z digest=sha256:d3ca3ae352394048b7a0b49934cc8de9d100bb354571949d61fdf3e575ec7b6f

Observation 18dc7806-af47-462e-946c-b124816d2a0f · outbound

This paper cites itap of a{class}.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection itap of a{class}

Reference 56

Resolution
malformed identifier
raw_fallback, observed 2026-05-23T15:38:08.687160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T21:43:39.755614Z digest=sha256:0d9ab1e9107e26d50c69d2ca617f532aaf1f61fd9a67c5961a73643b3bbc237c

Pith citing papers

No inbound Pith citation observations are available.