Paper Citation Record · LEDGER

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models

As of 18 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 1 inbound Pith citation observation for arXiv:2505.07690.

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

pith.paper-citation-record.v1
2505.07690 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:20:25.942543Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:12:13.878970Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T17:12:14.920302Z

Reference resolution

60 of 60 outbound references displayed

verified exact0
verified fuzzy48
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ba760d28-ec31-4960-9b7c-25f12f5a0c7c · outbound

This paper cites Memory aware synapses: Learning what (not) to forget.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Memory aware synapses: Learning what (not) to forget

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.983190Z

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Observation 2c704c4b-97cb-4d0c-a842-c7b6f125c626 · outbound

This paper cites Dark experience for general continual learning: a strong, simple baseline.NIPS, 33:15920–15930, 2020.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Dark experience for general continual learning: a strong, simple baseline.NIPS, 33:15920–15930, 2020

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.967842Z

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Observation 6ab66e51-b3cc-4d91-b631-8c80b0badb37 · outbound

This paper cites Tem- adapter: Adapting image-text pretraining for video question answer.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Tem- adapter: Adapting image-text pretraining for video question answer

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.952892Z

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Observation e7bf72ef-b092-46a4-9c0e-67da78e730f5 · outbound

This paper cites A simple framework for contrastive learning of visual representations.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models A simple framework for contrastive learning of visual representations

Reference 4

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Observation 87f002a1-851a-4b68-9574-fbf612e6ab70 · outbound

This paper cites Adamv-moe: Adaptive multi-task vision mixture-of- experts.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Adamv-moe: Adaptive multi-task vision mixture-of- experts

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.930196Z

Source-reported events for the cited work

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Observation 47780656-ebb1-412c-a94f-e9491b01473e · outbound

This paper cites A continual learning survey: Defying for- getting in classification tasks.IEEE transactions on pattern analysis and machine intelligence, 44(7):3366–3385, 2021.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models A continual learning survey: Defying for- getting in classification tasks.IEEE transactions on pattern analysis and machine intelligence, 44(7):3366–3385, 2021

Reference 6

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Source-reported events for the cited work

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Observation cbd7392b-7534-43cd-a35a-3624152b367e · outbound

This paper cites Learning without mem- orizing.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Learning without mem- orizing

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.905114Z

Source-reported events for the cited work

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Observation ee02e702-a4fc-454e-80c3-bf7b15e8a39b · outbound

This paper cites Few-shot class- incremental learning via relation knowledge distillation.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Few-shot class- incremental learning via relation knowledge distillation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.886754Z

Source-reported events for the cited work

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Observation d2ce7d35-55bc-40bd-b881-d84eff118624 · outbound

This paper cites Dosovitskiy, L.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Dosovitskiy, L

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.871314Z

Source-reported events for the cited work

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Observation 25b6ac42-38b9-477b-8ed3-be6d17fd5c1f · outbound

This paper cites Dytox: Transformers for continual learn- ing with dynamic token expansion.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Dytox: Transformers for continual learn- ing with dynamic token expansion

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.856575Z

Source-reported events for the cited work

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Observation a9cae421-b408-4eb1-9f1e-799206d63836 · outbound

This paper cites Clip-adapter: Better vision-language models with feature adapters.International Journal of Computer Vision, 132(2): 581–595, 2024.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Clip-adapter: Better vision-language models with feature adapters.International Journal of Computer Vision, 132(2): 581–595, 2024

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.835212Z

Source-reported events for the cited work

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Observation 3b1065b2-896c-4ec9-99c5-7f104d20e386 · outbound

This paper cites Dkt: Diverse knowledge transfer transformer for class incremental learning.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Dkt: Diverse knowledge transfer transformer for class incremental learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.819293Z

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Observation e9dec8e1-bc2f-4735-8d6c-79c996ef34e4 · outbound

This paper cites Beyond prompt learning: Continual adapter for efficient rehearsal-free continual learning.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Beyond prompt learning: Continual adapter for efficient rehearsal-free continual learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.805623Z

Source-reported events for the cited work

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Observation 4bbd65c6-5f72-4faf-80bc-a0cf82f70196 · outbound

This paper cites Knowit vqa: Answering knowledge-based ques- tions about videos.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Knowit vqa: Answering knowledge-based ques- tions about videos

Reference 14

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Observation 7dfb7ac6-a940-410a-b062-02dc222cd448 · outbound

This paper cites Learning a unified classifier incrementally via rebalancing.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Learning a unified classifier incrementally via rebalancing

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.776404Z

Source-reported events for the cited work

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Observation be2d1b6a-c56d-432a-8a60-58a656913eea · outbound

This paper cites Lora: Low-rank adaptation of large language models.ICLR, 1(2):3, 2022.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Lora: Low-rank adaptation of large language models.ICLR, 1(2):3, 2022

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.757636Z

Source-reported events for the cited work

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Observation 346509c2-087b-4362-ab12-41ca1e67a293 · outbound

This paper cites Scaling up visual and vision-language representation learning with noisy text su- pervision.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Scaling up visual and vision-language representation learning with noisy text su- pervision

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.740181Z

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Observation 9a72a1d5-3cf6-44e1-8faf-795a0e7a0355 · outbound

This paper cites Overcoming catastrophic forgetting in neu- ral networks.National Academy of Sciences, 114(13):3521– 3526, 2017.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Overcoming catastrophic forgetting in neu- ral networks.National Academy of Sciences, 114(13):3521– 3526, 2017

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.722797Z

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Observation b09dfbd0-2a98-46c7-81d0-ac16c550340d · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 19

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Observation cde37ef2-5300-459a-8a55-34bac5d52e3a · outbound

This paper cites Enhancing visual document understanding with con- trastive learning in large visual-language models.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Enhancing visual document understanding with con- trastive learning in large visual-language models

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.707063Z

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Observation 3d680538-4fb9-4a44-9bc8-258896a875c1 · outbound

This paper cites Learning without forgetting.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Learning without forgetting

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.669634Z

Source-reported events for the cited work

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Observation 1a8720cb-73b0-46e4-9320-e83b26675dba · outbound

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

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Inflora: Interference-free low-rank adaptation for continual learning

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.653122Z

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Observation 00752dfc-bbad-4530-ae1d-81950ef6594e · outbound

This paper cites Rotate your networks: Better weight consolidation and less catastrophic forgetting.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Rotate your networks: Better weight consolidation and less catastrophic forgetting

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.637432Z

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Observation 4df4730f-fe7c-4804-9359-4950ef757ea6 · outbound

This paper cites Model behavior preserving for class-incremental learning.IEEE Transactions on Neural Networks and Learning Systems, 2022.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Model behavior preserving for class-incremental learning.IEEE Transactions on Neural Networks and Learning Systems, 2022

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.621142Z

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Observation 76488f59-4c51-4acc-88de-f42a1b949900 · outbound

This paper cites Core50: a new dataset and benchmark for continuous object recognition.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Core50: a new dataset and benchmark for continuous object recognition

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.606084Z

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Observation 0963e757-cc5f-4f34-b011-d4293ad505f4 · outbound

This paper cites Packnet: Adding mul- tiple tasks to a single network by iterative pruning.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Packnet: Adding mul- tiple tasks to a single network by iterative pruning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.585306Z

Source-reported events for the cited work

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Observation c73cbb47-42ed-4ea3-b01d-1a973230c5dc · outbound

This paper cites Piggy- back: Adapting a single network to multiple tasks by learn- ing to mask weights.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Piggy- back: Adapting a single network to multiple tasks by learn- ing to mask weights

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.569179Z

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Observation 3851346f-f3a2-45e1-99fb-fe259f5eb989 · outbound

This paper cites Class-incremental learning: survey and performance evalu- ation on image classification.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(5):5513–5533, 2022.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Class-incremental learning: survey and performance evalu- ation on image classification.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(5):5513–5533, 2022

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.552496Z

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Observation 6d0bacb5-dc35-42b4-bffe-073b813300cb · outbound

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

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Moment matching for multi-source domain adaptation

Reference 29

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Observation 63c24013-ec28-4a09-8b43-83fa45a2b3e3 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Learning transferable visual models from natural language supervi- sion

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.519217Z

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Observation 09dd1d36-e9d8-444a-b496-fc303dca2fb6 · outbound

This paper cites Learning multiple visual domains with residual adapters.Ad- vances in neural information processing systems, 30, 2017.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Learning multiple visual domains with residual adapters.Ad- vances in neural information processing systems, 30, 2017

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.503107Z

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Observation 42da3696-99c7-43ef-9f28-fa80a72c12c1 · outbound

This paper cites icarl: Incremental classi- fier and representation learning.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models icarl: Incremental classi- fier and representation learning

Reference 32

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Observation 895f1481-9dec-48fb-89ad-8fc914ae2d09 · outbound

This paper cites Experience replay for continual learning.NIPS, 32, 2019.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Experience replay for continual learning.NIPS, 32, 2019

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.471655Z

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Observation 2c50a2e5-6edd-4266-a24d-ee679495cc1c · outbound

This paper cites Progress & compress: A scalable framework for continual learning.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Progress & compress: A scalable framework for continual learning

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.453248Z

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Observation a6dcc8f8-f5cd-4b92-b1c2-9529e6ccc678 · outbound

This paper cites Overcom- ing catastrophic forgetting with hard attention to the task.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Overcom- ing catastrophic forgetting with hard attention to the task

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.437054Z

Source-reported events for the cited work

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Observation baddd0d7-2a0d-42e2-b4d5-1b853203fd48 · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T22:20:25.817181Z

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Observation 98a04902-f82c-458b-8801-375bf327356a · outbound

This paper cites Coda-prompt: Contin- ual decomposed attention-based prompting for rehearsal-free continual learning.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Coda-prompt: Contin- ual decomposed attention-based prompting for rehearsal-free continual learning

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.419253Z

Source-reported events for the cited work

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Observation 291b6145-8603-4303-a85a-1575793dbbea · outbound

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

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Mind the interference: Retaining pre-trained knowledge in parameter efficient continual learning of vision-language models

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.400124Z

Source-reported events for the cited work

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Observation 2175b40c-f456-4da0-bb40-6d6383d6d2f2 · outbound

This paper cites Few-shot class- incremental learning.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Few-shot class- incremental learning

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.376891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation faeb90ed-6859-4d19-a3a5-ec4a1013e13a · outbound

This paper cites Hydralora: An asymmetric lora architecture for efficient fine-tuning.Advances in Neural Information Pro- cessing Systems, 37:9565–9584, 2025.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Hydralora: An asymmetric lora architecture for efficient fine-tuning.Advances in Neural Information Pro- cessing Systems, 37:9565–9584, 2025

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.355448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 80b2382c-dd43-49ae-b6e1-c38e63b2d3a2 · outbound

This paper cites Three types of incremental learning.Nature Machine Intelligence, 4(12):1185–1197, 2022.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Three types of incremental learning.Nature Machine Intelligence, 4(12):1185–1197, 2022

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.334498Z

Source-reported events for the cited work

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Observation 37e55de2-2d41-43a9-b836-854c116cae8e · outbound

This paper cites Foster: Feature boosting and compression for class- incremental learning.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Foster: Feature boosting and compression for class- incremental learning

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.317066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 20477096-7623-477f-887e-821d602d4587 · outbound

This paper cites Non-exemplar domain incremental learning via cross-domain concept integration.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Non-exemplar domain incremental learning via cross-domain concept integration

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.296615Z

Source-reported events for the cited work

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Observation b3aa6d17-fb27-4c55-83cd-179f216896e6 · outbound

This paper cites Vlmixer: Unpaired vision-language pre-training via cross-modal cutmix.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Vlmixer: Unpaired vision-language pre-training via cross-modal cutmix

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.246461Z

Source-reported events for the cited work

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Observation 84aeedbc-0ae6-4bb4-b288-efa33502e4bb · outbound

This paper cites S-prompts learning with pre-trained transformers: An occam’s razor for domain incremental learning.Advances in Neural Informa- tion Processing Systems, 35:5682–5695, 2022.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models S-prompts learning with pre-trained transformers: An occam’s razor for domain incremental learning.Advances in Neural Informa- tion Processing Systems, 35:5682–5695, 2022

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.231977Z

Source-reported events for the cited work

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Observation b2c01a9b-41e3-4f85-9f64-c39772a4f540 · outbound

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

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Dualprompt: Complementary prompting for rehearsal-free continual learning

Reference 46

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Observation 99adee4b-1d81-41de-9def-ad08bc10d422 · outbound

This paper cites Learning to prompt for continual learning.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Learning to prompt for continual learning

Reference 47

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Observation bec62a67-b06d-4cec-bc98-41f53d9b7306 · outbound

This paper cites Robust fine-tuning of zero-shot models.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Robust fine-tuning of zero-shot models

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.178050Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f8dc9f49-55fa-49b8-a02e-57b9a7d5b607 · outbound

This paper cites Large scale in- cremental learning.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Large scale in- cremental learning

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.164735Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1e6041b7-f97b-4a66-8217-ef71505e8f35 · outbound

This paper cites Der: Dynam- ically expandable representation for class incremental learn- ing.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Der: Dynam- ically expandable representation for class incremental learn- ing

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.152893Z

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Observation 2e433844-7c11-43a8-a996-1642382b70a0 · outbound

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

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Boosting continual learning of vision-language models via mixture-of-experts adapters

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.141801Z

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Observation edd06883-ce43-4532-b5f7-71cf65852b26 · outbound

This paper cites Maintaining discrimination and fairness in class incremental learning.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Maintaining discrimination and fairness in class incremental learning

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.127705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 45e8f6b3-0f48-425b-b2e6-d236e74f01d8 · outbound

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

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Preventing zero-shot transfer degradation in continual learning of vision-language models

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.115879Z

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Observation 922abd79-bc70-43c5-8016-8e0733d70cd3 · outbound

This paper cites Learning to prompt for vision-language models.In- ternational Journal of Computer Vision, 130(9):2337–2348,.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Learning to prompt for vision-language models.In- ternational Journal of Computer Vision, 130(9):2337–2348,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-15T22:20:25.917318Z

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Observation 8a4c1944-dbb0-4d1c-a8c0-3fbaa77a2cb6 · outbound

This paper cites To further validate its robustness, we also evaluate its performance on ORDER-II.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models To further validate its robustness, we also evaluate its performance on ORDER-II

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.073049Z

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Observation 6c4b8418-fb2e-4cd8-9acb-13670417c935 · outbound

This paper cites For structural details, we set the rank of both matrixAand matrixBto 16 for the experts in ABFA, and similarly, the adapter in AFFA is configured with a rank of 16 (Table 13).

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models For structural details, we set the rank of both matrixAand matrixBto 16 for the experts in ABFA, and similarly, the adapter in AFFA is configured with a rank of 16 (Table 13)

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.056992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5e2e9d9f-6ec7-4ec8-81df-b08a933c0e79 · outbound

This paper cites an unresolved cited work.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:20:26.040254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2beb8197-c1c4-47b0-8c5a-1c10fc0e4fee · outbound

This paper cites transfer.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models transfer

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:26.024130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 717e1c7a-382f-4d6c-ab0d-3d7959d5ddfb · outbound

This paper cites an unresolved cited work.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Unresolved cited work

Reference 162

Resolution: parse uncertain; raw_fallback, observed 2026-08-15T22:20:26.276914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5096f640-bbee-4efd-b443-3c32dd4ff377 · outbound

This paper cites an unresolved cited work.

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Unresolved cited work

Reference 2022

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:20:26.088112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

Observation 5fb5ebfa-565d-4482-b39c-27629f27339b · inbound

BPG: Balancing Plasticity and Generalization for Domain Incremental Learning cites this paper.

BPG: Balancing Plasticity and Generalization for Domain Incremental Learning Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-12T17:12:14.932329Z

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