Paper Citation Record · LEDGER

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning

As of 21 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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.

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.

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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.

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.

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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.

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.

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.

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 2026-08-20T06:33:59.587034+00:00.

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.

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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.

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.

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.

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.

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.

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.

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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.

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.

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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.

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.

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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.

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.

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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.