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Paper Citation Record · LEDGER

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning

As of 8 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 2 inbound Pith citation observations for arXiv:2505.23271.

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

pith.paper-citation-record.v1
2505.23271 v1

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:53:55.824244Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T18:07:07.563662Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:49:44.365635Z

Reference resolution

61 of 61 outbound references displayed

  • verified exact0
  • verified fuzzy45
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a0c437a0-7975-4f35-9bdf-ba795ed8895c · outbound

This paper cites Uncertainty-based continual learning with adaptive regularization.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning Uncertainty-based continual learning with adaptive regularization

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:54:08.675774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:47.693447Z digest=sha256:71a3e6a11b2ce2ece606d31b62b2f19ee9f676691bb92b42d69a9b86b6b11657

Observation 65f35e93-c42c-4438-880c-c33b52a5ea02 · outbound

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

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning Food-101--mining discriminative components with random forests

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:54:08.431689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:47.759877Z digest=sha256:2ff9945efd37e47a9f63814b5f52a9d39acf89369eaacea6a00871e171af72e6

Observation 1003a5a8-d79d-4621-be39-119e4b6993a4 · outbound

This paper cites Adaptformer: Adapting vision transformers for scalable visual recognition.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning Adaptformer: Adapting vision transformers for scalable visual recognition

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:54:08.118881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:47.905822Z digest=sha256:0e7434b0b0c1ea29f1a89fdecd535004b094a06a60354157dc7e7ab7e074b51c

Observation e9856921-2f7d-424e-b6bc-573652c3fbeb · outbound

This paper cites Describing textures in the wild.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning Describing textures in the wild

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:54:07.795649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:48.035948Z digest=sha256:e13f46fa602356549d7b0d19eeb5fae85f3790177468a9e074216bbf93375e50

Observation 0907ab48-9eda-4363-82e5-7de21384819e · outbound

This paper cites A continual learning survey: Defying forgetting in classification tasks.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning A continual learning survey: Defying forgetting in classification tasks

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:54:07.598575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:48.190280Z digest=sha256:472daad64e4dc02fc171c802a70ec9e603498f510605d962bf1be549a645c154

Observation 1304eff6-8f34-4584-8447-f464ae97db08 · outbound

This paper cites The mnist database of handwritten digit images for machine learning research [best of the web].

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning The mnist database of handwritten digit images for machine learning research [best of the web]

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:54:07.342702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:48.384049Z digest=sha256:a8ca2395fe153712eeeeed14f9f144494a8cfc5e8f91d036203403a57c2f3560

Observation 93d76179-665d-4bd7-b1c1-762fc9925163 · outbound

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

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning An image is worth 16x16 words: Transformers for image recognition at scale

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:48.528356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:53:48.528356Z digest=sha256:6737481c8b38e9faf49b92e55fc1a6be73315748d891996298b0824d66c4bd20

Observation 8912cfb8-d9b2-4d3e-b801-7bebdabd1e69 · outbound

This paper cites Dytox: Transformers for continual learning with dynamic token expansion.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning Dytox: Transformers for continual learning with dynamic token expansion

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:54:07.038104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:48.693753Z digest=sha256:3ac91fdf5ecadedd2d07a8d081279420174ed302cf4d242e38634243b79fde61

Observation b2b2ee9a-0635-47f8-88cc-cd43475352a7 · outbound

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

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:54:06.788982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:48.859291Z digest=sha256:b4bd96e705bed629ffbbfd04ec3ae5caedb77147edadf9a6d9e9565c22ee84c8

Observation fdfe9e13-d46f-415a-bb2b-d2191121d545 · outbound

This paper cites an unresolved cited work.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:54:06.492053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:49.056464Z digest=sha256:b255edfe5c51122d927e14a9bc07fecc86adb2679bdf61821c4a614c9bb1450c

Observation c2968bdf-2ada-4b34-8da9-e0cceb3929e8 · outbound

This paper cites and Wei, T.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning and Wei, T

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:54:06.174526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:49.255389Z digest=sha256:d8bcd2e8d5b465e8d948a39112d11edaa6e010817e720170e495deadc00e081e

Observation 2397b995-b468-4b06-8d17-7dfec6a99236 · outbound

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

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning Clip-adapter: Better vision-language models with feature adapters

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:54:05.954825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:49.453785Z digest=sha256:b7a37a2ea3a31e1bbacfc191b72054dd65bfbc9ecf9274c6c60a015b12b3a5cc

Observation 98327576-dcd6-43c0-8fba-97e628b1329e · outbound

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

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:54:05.897513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:49.592556Z digest=sha256:3d6fb82a90df81793dba264515c0c3a21e5fcf43e1a780ff69c6d3dc7c774308

Observation e9473e8c-57fa-4177-813c-1b7f4a4305e5 · outbound

This paper cites Parameter-efficient transfer learning for nlp.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning Parameter-efficient transfer learning for nlp

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:54:05.744438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:49.700208Z digest=sha256:f60476f3283c46bcbf6eb4531b09a798364c8f35b58873e67b2deaa20f39b5fa

Observation eba0af6a-81bc-4832-9ab1-d1d1ce9cd936 · outbound

This paper cites Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:49.848693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:53:49.848693Z digest=sha256:ceffd0c972020c6e6a8ad2a94ecfb9db3924e5e1a9268332ae5fcfa0ece8a64d

Observation a63fb49d-8d59-4bd5-9eac-6d0b25007417 · outbound

This paper cites Class-incremental learning with clip: Adaptive representation adjustment and parameter fusion.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning Class-incremental learning with clip: Adaptive representation adjustment and parameter fusion

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:54:05.550732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:49.993736Z digest=sha256:2abff1151dedb0d8672609b6dbfb3fa7b63ae9b5bda450296e96d4e2c1a76f48

Observation e5b45920-8a60-4f2b-bd86-6b08a022cb61 · outbound

This paper cites and Cosgun, A.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning and Cosgun, A

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:54:05.237625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:50.146241Z digest=sha256:9c64f2a6b98473f4a72a3bed52e42397f3efda7b8d46910b337670ddefcb5b08

Observation 03437400-e538-4f81-b3ff-58f999d10ed9 · outbound

This paper cites Npcl: Neural processes for uncertainty-aware continual learning.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning Npcl: Neural processes for uncertainty-aware continual learning

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:54:04.899593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:50.283770Z digest=sha256:50a6f9991cf5eb5f487c6134276cecd4d8e41854bb027077e9c281aba9ed9a4d

Observation abcf3b29-9915-4b2c-a735-881ed0bb4a71 · outbound

This paper cites A., Milan, K., Quan, J., Ramalho, T., Grabska-Barwinska, A., et al.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning A., Milan, K., Quan, J., Ramalho, T., Grabska-Barwinska, A., et al

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:50.473784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:53:50.473784Z digest=sha256:a42045dc4fccdc8503e558c9335563cf6726284dc374380e3975123ad5ab90b3

Observation c4eb860a-eb38-4292-84cc-246521f0aef2 · outbound

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

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning 3d object representations for fine-grained categorization

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:50.611672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:53:50.611672Z digest=sha256:94ea5d17f9fd2f8388195bf2b7372da21515be2eafc5b6aa2d4bcc333d93f819

Observation 669c87e2-8c91-4e0f-a143-a78fa2999e35 · outbound

This paper cites R., Song, X., Ma, Z., He, Y., Gong, Y., Qi, Y., and Wei, X.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning R., Song, X., Ma, Z., He, Y., Gong, Y., Qi, Y., and Wei, X

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:54:04.564544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:50.748150Z digest=sha256:e8c5a2e5eb0b785aa465aa7cb0a22b4c2dc0f3d75e284eebd55dbeb2546686c5

Observation 171ef1e0-7b50-4661-b3fa-a8e75caaeb21 · outbound

This paper cites Continual Classification Learning Using Generative Models.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning Continual Classification Learning Using Generative Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:50.921131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:53:50.921131Z digest=sha256:a85e6384c5e2d5f9064011be77e293a1a606a4be8ad6bcbe1658ac9b704d4f44

Observation 0d3de6e9-eef3-46c4-87e0-577b915b3dbc · outbound

This paper cites Learn to grow: A continual structure learning framework for overcoming catastrophic forgetting.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning Learn to grow: A continual structure learning framework for overcoming catastrophic forgetting

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:54:04.210559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:51.055323Z digest=sha256:cab287bf747f7acc640bce7036319b06cbbc7ff1f0e3bc540c0807e04b4ca0c0

Observation bf86f7f6-c50f-4068-b79b-2b13b889a396 · outbound

This paper cites and Hoiem, D.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning and Hoiem, D

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:54:03.884852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:51.217525Z digest=sha256:d613ba8e39895b4400ecc75494395f082fc1cc36486e4dd1b09c65aff35c62ee

Observation 6c7cc703-f963-49c3-856b-c8cf2eafc1c7 · outbound

This paper cites and Ranzato, M.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning and Ranzato, M

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:51.391833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:53:51.391833Z digest=sha256:60215649f9e649c3768f7ca543bfe073af0aa2a6f17708a9a4c78fe11585ce1b

Observation 68499574-3ebb-465d-b175-df603ae80cfe · outbound

This paper cites and Hutter, F.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning and Hutter, F

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:51.554992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:53:51.554992Z digest=sha256:db3201158b46ab740f7641565b1c435151dfeeaf290120c96b53f301fd4fc977

Observation c211da1c-e91a-48dc-9789-d0a5352eefb4 · outbound

This paper cites Take Only What You Need: Rank Minimization as an Implicit Forgetting Regularizer in Continual Learning.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning Take Only What You Need: Rank Minimization as an Implicit Forgetting Regularizer in Continual Learning

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:51.678032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:53:51.678032Z digest=sha256:31936e0260e9f33c9f767e85064f9dfc6b7949542f8a590634e320312554d029

Observation 5c34f50a-b924-4e38-b281-4ec80d5f46eb · outbound

This paper cites An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:51.868975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:53:51.868975Z digest=sha256:bf5082617aa5e330a5213d434698bdc381b30735073d1c7f3bdff2f92d689668

Observation 0996f319-7ab3-459c-b52d-c877f2776e62 · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning Fine-Grained Visual Classification of Aircraft

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:51.951576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:53:51.951576Z digest=sha256:520a178ddf1a9bd5b5dbe08439d9aba7e9a3de115a2464f2252ce1c5ba34ae26

Observation 0ca80f3f-0e7a-4cfa-ad02-88f24e5b55c4 · outbound

This paper cites and Cohen, N.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning and Cohen, N

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:54:03.588110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:52.054357Z digest=sha256:d799a4fe492fede91b12ed667e10ea17846d69012db54dabedb1406d6d5b35d6

Observation 8ab4a1be-118e-4a5f-934e-5fcb3f50a1ef · outbound

This paper cites D., Gong, D., Parvaneh, A., Abbasnejad, E., and Van den Hengel, A.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning D., Gong, D., Parvaneh, A., Abbasnejad, E., and Van den Hengel, A

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:54:03.336815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:52.115627Z digest=sha256:ee63f79881a14e48c88c4514c970f8ae2cf9451ab2598df392a980532cf2423f

Observation f9c896f4-f8ce-4e73-bf93-2b00523f7b03 · outbound

This paper cites and Zisserman, A.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning and Zisserman, A

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:52.215402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:53:52.215402Z digest=sha256:7aa86e0a83db01e31fea67b71f6053ff2dbcae70a9a15cd33e8a6a3137065142

Observation 1f6a76f5-3398-4777-9adb-ee466d83aeab · outbound

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

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning M., Vedaldi, A., Zisserman, A., and Jawahar, C

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:54:02.978541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:52.318685Z digest=sha256:76ea86e3f382c438f0684247e18d27da15a2bc274e061dcb0efc3c7580c7c065

Observation 3f241163-41f6-4b88-9e2d-72dc3d804592 · outbound

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

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:54:02.674484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:52.424237Z digest=sha256:0505dcf18991d8a53c52619a7f249c72a2a3a934c5be879e97ece6cb9cb5351d

Observation 07e85d7d-f2a8-4c0c-8c69-a19f96b03da5 · outbound

This paper cites an unresolved cited work.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:54:02.329409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:52.501317Z digest=sha256:d2cf09ce2744b0a653dba2a40373d2476196134b6e3df3941bfeaf4449f46068

Observation a8fa5120-17e1-4083-85da-b11dfe8a15de · outbound

This paper cites Experience replay for continual learning.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning Experience replay for continual learning

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:54:02.000488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:52.631130Z digest=sha256:e51929049e3c8c7d539fc9edbecb5751eb8a0e939a9580883a52c4d76ecb0aa5

Observation 12bfe676-3a58-4504-9577-cdf111d12204 · outbound

This paper cites A Practitioner's Guide to Continual Multimodal Pretraining.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning A Practitioner's Guide to Continual Multimodal Pretraining

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:52.794251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:53:52.794251Z digest=sha256:f020b86a53bac40d008f8d9139765b527c71abc32f586fc32abed07701369a57

Observation f46d9765-0880-404e-a2c2-fc702456729e · outbound

This paper cites Long-tail learning with foundation model: heavy fine-tuning hurts.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning Long-tail learning with foundation model: heavy fine-tuning hurts

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:54:01.674855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:52.898905Z digest=sha256:cbeae12a0e2316094869cf1bf2e389798ddec5609664be380f67b422609beb48

Observation c2df29a1-ae15-4058-a633-9825ec4f3fa2 · outbound

This paper cites K., Kim, J., and Kim, J.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning K., Kim, J., and Kim, J

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:54:01.405539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:53.021626Z digest=sha256:c293fcf4d77d677bd89db52fb69f287abda8591bdf6f20b8ea34243247a120d9

Observation 7c2b1867-eed8-480e-b192-438f9ab24e5a · outbound

This paper cites S., Karlinsky, L., Gutta, V., Cascante-Bonilla, P., Kim, D., Arbelle, A., Panda, R., Feris, R., and Kira, Z.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning S., Karlinsky, L., Gutta, V., Cascante-Bonilla, P., Kim, D., Arbelle, A., Panda, R., Feris, R., and Kira, Z

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:54:01.092013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:53.156907Z digest=sha256:e1e1dee8b6761dade7a33181e4b1c79102d8c600b7858adfa5d22c0e4a7d1677

Observation 4fcf99d5-a9a5-4e54-bbc5-27d2f4701515 · outbound

This paper cites Mind the interference: Retaining pre-trained knowledge in parameter efficient continual learning of vision-language models.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning Mind the interference: Retaining pre-trained knowledge in parameter efficient continual learning of vision-language models

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:54:00.722971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:53.285017Z digest=sha256:6f6db83b7f15f276d9f2b2021194fa0c5c8bd13f51ad9bb4b2f6ae9cdd6f4880

Observation 986d4c82-59e4-4d52-beef-d6643553f443 · outbound

This paper cites When prompt-based incremental learning does not meet strong pretraining.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning When prompt-based incremental learning does not meet strong pretraining

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:54:00.376091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:53.405851Z digest=sha256:7fca6b440bae1b28b6911435c2aa2056e3eea6acc47386c30dc6f6f3a6d9f72d

Observation 76fc78a3-a474-4b5d-b152-0176f4d6f98e · outbound

This paper cites Hierarchical decomposition of prompt-based continual learning: Rethinking obscured sub-optimality.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning Hierarchical decomposition of prompt-based continual learning: Rethinking obscured sub-optimality

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:54:00.130892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:53.569336Z digest=sha256:9e139d71709086d926840aad76590f52fcb3146bf1e5ef5dd880f9ef7f1944fe

Observation 027d709b-fec7-45d4-b031-45bbb6a01bab · outbound

This paper cites A comprehensive survey of continual learning: theory, method and application.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning A comprehensive survey of continual learning: theory, method and application

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:53:59.873355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:53.712828Z digest=sha256:5ac5e2c8f3340dd8ab5a141588ee70e04896e65c6fe8859d477a44238ece4703

Observation 90181b06-86a7-48db-a56a-d6328ac1ce1d · outbound

This paper cites S-prompts learning with pre-trained transformers: An occam’s razor for domain incremental learning.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning S-prompts learning with pre-trained transformers: An occam’s razor for domain incremental learning

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:53:59.670088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:53.794079Z digest=sha256:89fdc4d6678edb4d4b1b4b0c42ce9ac4fc6cd9b5964336a8bd94d7fbb0ebcd35

Observation 871efa0f-a8c7-4bbd-b6f7-420ea9ef281b · outbound

This paper cites Dualprompt: Complementary prompting for rehearsal-free continual learning.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning Dualprompt: Complementary prompting for rehearsal-free continual learning

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:53:59.339860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:53.872349Z digest=sha256:bde3c3259492cb9c42d8ec06c03b5432db85804683846573a4ba8ac70ee5d404

Observation 10c665ed-5e93-4d3a-9c9d-242fd60cd6d5 · outbound

This paper cites Learning to prompt for continual learning.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning Learning to prompt for continual learning

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:53:59.046331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:53.988154Z digest=sha256:3372e0b238299e3cdc4c10e34592fb98d5f7f44975c04472bd1f5e5082f17ef2

Observation 39e1c5c0-c958-4829-abde-4976bff626bd · outbound

This paper cites Vision-language models are strong noisy label detectors.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning Vision-language models are strong noisy label detectors

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:53:58.869324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:54.090190Z digest=sha256:c4df8f8bbb0aa68a5d4a91242a61d04e5a04cff97af2267e11a089219c942cf9

Observation 7554a6ce-7ebe-4989-9d54-11b6574842f5 · outbound

This paper cites Y., Roelofs, R., Gontijo-Lopes, R., Morcos, A.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning Y., Roelofs, R., Gontijo-Lopes, R., Morcos, A

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:53:58.650042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:54.195472Z digest=sha256:635cca98a6ff6ec9822e4fbce6fce4087a6705c2a5de8ec48f1bf743318bdf21

Observation 07348fe3-cc5e-49fb-bdbc-341398fb098f · outbound

This paper cites W., Li, M., Kornblith, S., Roelofs, R., Lopes, R.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning W., Li, M., Kornblith, S., Roelofs, R., Lopes, R

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:53:58.326469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:54.329482Z digest=sha256:aee8adf9e32538f65802db1c31a4058dd18a53cbf3a38b2fc201e4a08787366b

Observation 029f38de-81de-4e9e-aace-90d20d590ed9 · outbound

This paper cites A., Oliva, A., and Torralba, A.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning A., Oliva, A., and Torralba, A

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:53:58.036326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:54.444961Z digest=sha256:66b254bed85b2d3d06714108681d2b8d83b87b01dd727c24f5e64662df7e0131

Observation 3c964334-088c-45f8-9d9e-3a0ab52a5cb6 · outbound

This paper cites Advancing cross-domain discriminability in continual learning of vision-language models.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning Advancing cross-domain discriminability in continual learning of vision-language models

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:53:57.848090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:54.548099Z digest=sha256:06f4de25021b9fa5a72752964bb5ff170abb3a41918f38474c7483adec1dce57

Observation c863593c-f026-4b28-9300-1e876ea6a531 · outbound

This paper cites Der: Dynamically expandable representation for class incremental learning.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning Der: Dynamically expandable representation for class incremental learning

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:53:57.713995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:54.671514Z digest=sha256:31a5dc47ec71517c43d745e8ab7ea735a933fcb42f14b7785dad32a14a190a68

Observation 55935dbd-9d27-4960-a540-b002b1fd39f7 · outbound

This paper cites an unresolved cited work.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:53:57.516700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:54.872939Z digest=sha256:537911d98e1eb28c6f6f6bb537c3f9e6f58e634200a1bf45e56d4ef3fa791177

Observation 9025c937-de8a-4b0a-b044-0607954e0362 · outbound

This paper cites Boosting continual learning of vision-language models via mixture-of-experts adapters.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning Boosting continual learning of vision-language models via mixture-of-experts adapters

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:53:57.159144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:54.984892Z digest=sha256:41a096d59b4a6e92ce990bd84ab0f6bfe90a06042d0b290eedcebac3f5349b74

Observation 833477ff-3653-41cb-96cf-11d6eca18096 · outbound

This paper cites Continual learning through synaptic intelligence.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning Continual learning through synaptic intelligence

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:53:56.893148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:55.193116Z digest=sha256:39781e601f6b29d373b866c280789f1709d7f588a5ba209de71aa1f111ccfbb7

Observation 8c8437b6-a421-40d0-8dcb-8b05a682e05b · outbound

This paper cites Slca: Slow learner with classifier alignment for continual learning on a pre-trained model.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning Slca: Slow learner with classifier alignment for continual learning on a pre-trained model

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:53:56.650316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:55.328441Z digest=sha256:ec0872a929ccb4f45328f4ab376298d46fc4103007c83178672791f393662a5d

Observation c5ea6f92-b7ea-468f-8470-d4ce654c8397 · outbound

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

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning Tip-adapter: Training-free adaption of clip for few-shot classification

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:53:56.484308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:55.450623Z digest=sha256:684f5c33c82a5929ff9656da053aa7fe70fb4e9cfb66405f399c8f6c7792cb36

Observation 7abfb296-f89d-4121-8309-53360a17d686 · outbound

This paper cites Preventing zero-shot transfer degradation in continual learning of vision-language models.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning Preventing zero-shot transfer degradation in continual learning of vision-language models

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:53:56.283606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:55.591688Z digest=sha256:37d6b17947c576eb1f6e4e56f159889bfe3e43bee666765c59bbd40e7e5f724b

Observation c2c87772-babc-4636-903e-96b9a0ee7feb · outbound

This paper cites Prototype augmentation and self-supervision for incremental learning.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning Prototype augmentation and self-supervision for incremental learning

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:53:56.102282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:53:55.656287Z digest=sha256:b5a3661940625ae1c4567df9d251e8de9853286655c984f2170233124104c5e3

Observation fa6b6ca9-d6ba-444b-a332-35ff29bbe6b4 · outbound

This paper cites write newline.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning write newline

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:55.824244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:53:55.824244Z digest=sha256:a1d9c6767ae253acaf015f9e031e476b7d14b52031121bbf49496e6e3a8207ca

Pith citing papers

Observation d9d643a5-cbe2-44a1-91e3-ec6c93ff4943 · inbound

COVD: Continual Open-Vocabulary Object Detection with Novel Concept Injection cites this paper.

COVD: Continual Open-Vocabulary Object Detection with Novel Concept Injection LADA: Scalable Label-Specific CLIP Adapter for Continual Learning

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:13:48.886900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T18:07:07.563662Z digest=sha256:c2f7c602c6ca7ec5524faa156b35080190619bc848cf3626b69ae5d0c2137803

Observation 9f09e69b-d185-43aa-bf67-dd0d21d770c8 · inbound

Black-Box Continual Learning for Vision-Language Models cites this paper.

Black-Box Continual Learning for Vision-Language Models LADA: Scalable Label-Specific CLIP Adapter for Continual Learning

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-04T09:49:44.367145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T09:30:19.252153Z digest=sha256:a5b75586f8bc4e96245a4a5b0129cd803636f29a6c5d1d8b3f486ed755efae6d