Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning | Paper Citation Record

Observation 4ced6e68-44d3-4dc9-b2e4-e4138127fe9c · outbound

This paper cites Few-shot class-incremental learning,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Few-shot class-incremental learning,

Reference 1

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Observation 43a65183-2c04-4862-bdce-703c5c77f870 · outbound

This paper cites Jarvis-1: Open-world multi-task agents with memory- augmented multimodal language models,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Jarvis-1: Open-world multi-task agents with memory- augmented multimodal language models,

Reference 2

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Observation fad7a9bd-c895-4cf7-8c35-3c410cf929c6 · outbound

This paper cites Optimus-1: Hybrid multimodal memory empowered agents excel in long-horizon tasks,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Optimus-1: Hybrid multimodal memory empowered agents excel in long-horizon tasks,

Reference 3

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Observation 4562db25-00ce-41bc-a84b-cfdedbf1ffbb · outbound

This paper cites Lifelong learning of large language model based agents: A roadmap,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Lifelong learning of large language model based agents: A roadmap,

Reference 4

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Observation 1589b039-f221-4276-9c59-aa08daee4931 · outbound

This paper cites Vision-Language Navigation with Continual Learning.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Vision-Language Navigation with Continual Learning

Reference 5

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Observation 8502f076-6269-4bad-9c48-8b16f7a22d3a · outbound

This paper cites McCloskey and N.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning McCloskey and N

Reference 6

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Observation 1a021275-dd38-42e8-95eb-75d3e24e4f12 · outbound

This paper cites An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks

Reference 7

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Observation f45fc45a-8105-46c5-8f62-108f8257ba04 · outbound

This paper cites Prototypical networks for few-shot learning,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Prototypical networks for few-shot learning,

Reference 8

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Observation 51b3a108-80f3-4260-ad62-ba758653dc5d · outbound

This paper cites Learning to compare: Relation network for few-shot learning,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Learning to compare: Relation network for few-shot learning,

Reference 9

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Observation acea7225-359b-4bdc-98b6-8c4d31223172 · outbound

This paper cites The stability-plasticity dilemma: Investigating the continuum from catastrophic forgetting to age- limited learning effects,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning The stability-plasticity dilemma: Investigating the continuum from catastrophic forgetting to age- limited learning effects,

Reference 10

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Observation c5dcb318-7af6-4d35-8790-e6f315313aca · outbound

This paper cites icarl: Incremental classifier and representation learning,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning icarl: Incremental classifier and representation learning,

Reference 11

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Observation 140d4eed-aa4a-47bc-9661-3e8b9e0ca425 · outbound

This paper cites Learning a unified classifier incrementally via rebalancing,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Learning a unified classifier incrementally via rebalancing,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.876251Z

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Observation 7c22bb51-d4f0-467f-bef8-380013b59c8b · outbound

This paper cites Overcoming catastrophic forgetting in neural networks,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Overcoming catastrophic forgetting in neural networks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.865540Z

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Observation 85f1106d-5da9-42f9-b4fa-55adeedf6cb0 · outbound

This paper cites Continual learning with deep generative replay,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Continual learning with deep generative replay,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.854494Z

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Observation 71abcdbb-660c-4081-905d-ffb1d249e9fd · outbound

This paper cites Few-shot incremental learning with continually evolved classifiers,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Few-shot incremental learning with continually evolved classifiers,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.842424Z

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Observation 743576be-bc56-4ccc-b04e-488241f96516 · outbound

This paper cites Neural collapse inspired feature-classifier alignment for few-shot class-incremental learn- ing,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Neural collapse inspired feature-classifier alignment for few-shot class-incremental learn- ing,

Reference 16

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Observation 272355ec-867d-499c-b953-edb3b21463bd · outbound

This paper cites Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning

Reference 17

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Observation bf0e90e2-9a08-4f00-984e-4e1a3062655e · outbound

This paper cites Pre-trained vision and language transformers are few-shot incremental learners,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Pre-trained vision and language transformers are few-shot incremental learners,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.817580Z

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Observation 37956ba9-78bc-4da5-bbb4-5620ee4851e3 · outbound

This paper cites Brain-inspired fast-and slow-update prompt tuning for few-shot class- incremental learning,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Brain-inspired fast-and slow-update prompt tuning for few-shot class- incremental learning,

Reference 19

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Observation f3d72630-3c88-4510-91ee-1f55ca70db67 · outbound

This paper cites Calibrating higher- order statistics for few-shot class-incremental learning with pre-trained vision transformers,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Calibrating higher- order statistics for few-shot class-incremental learning with pre-trained vision transformers,

Reference 20

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Observation 9bc862dc-29e3-46a3-91af-0a611c73eda0 · outbound

This paper cites Multimodal parameter-efficient few-shot class incremental learning,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Multimodal parameter-efficient few-shot class incremental learning,

Reference 21

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Observation 281eefc0-54f9-4e41-9877-3a9fbed50a7a · outbound

This paper cites Knowledge Adaptation Network for Few-Shot Class-Incremental Learning.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Knowledge Adaptation Network for Few-Shot Class-Incremental Learning

Reference 22

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Observation f307ac1a-c86d-41b5-88b3-3a830faaebc1 · outbound

This paper cites Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:25:21.014114Z

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Observation d3fc9f15-1756-4b77-99a3-1a8f50db6089 · outbound

This paper cites PL-FSCIL: Harnessing the Power of Prompts for Few-Shot Class-Incremental Learning.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning PL-FSCIL: Harnessing the Power of Prompts for Few-Shot Class-Incremental Learning

Reference 24

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Observation 085d67fa-0d4c-43b9-a9af-260726b62171 · outbound

This paper cites Learning without forgetting,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Learning without forgetting,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.763867Z

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Observation 77e0a2b0-a083-4a72-bb10-a449089795a2 · outbound

This paper cites Few-shot Class-incremental Learning for Classification and Object Detection: A Survey.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Few-shot Class-incremental Learning for Classification and Object Detection: A Survey

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:25:20.984165Z

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Observation fc7646be-f120-4f3b-ba85-a3ebadcfe3ff · outbound

This paper cites A survey on few-shot class-incremental learning,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning A survey on few-shot class-incremental learning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.749189Z

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Observation 9718d300-be8d-4088-847a-2e393781c0de · outbound

This paper cites Matching networks for one shot learning,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Matching networks for one shot learning,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.735592Z

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Observation 57fb9cf1-3079-4c44-8230-988e05ee94fb · outbound

This paper cites Optimization as a model for few-shot learning,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Optimization as a model for few-shot learning,

Reference 29

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Observation 96f97cb4-343e-440f-b684-011d8579c73b · outbound

This paper cites CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning

Reference 30

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Observation 366fdcbd-6caa-47c9-ab2c-70cd535fc2a9 · outbound

This paper cites Few-shot class-incremental learning via entropy-regularized data-free replay,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Few-shot class-incremental learning via entropy-regularized data-free replay,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.716975Z

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Observation 38eddc10-410c-4ad2-8f0f-04cacebb427b · outbound

This paper cites Semantics- driven generative replay for few-shot class incremental learning,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Semantics- driven generative replay for few-shot class incremental learning,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.705156Z

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Observation 54f91045-958c-446b-a25a-ada3ea6c92d5 · outbound

This paper cites Few-shot class- incremental learning from an open-set perspective,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Few-shot class- incremental learning from an open-set perspective,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.692804Z

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Observation c75ecb4e-1960-473a-8334-bc76569c1e49 · outbound

This paper cites Xtarnet: Learning to extract task-adaptive representation for incremental few-shot learning,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Xtarnet: Learning to extract task-adaptive representation for incremental few-shot learning,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.680976Z

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Observation 6b4c4d0c-f923-4ebc-9918-e0585623f2e9 · outbound

This paper cites Metafscil: A meta- learning approach for few-shot class incremental learning,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Metafscil: A meta- learning approach for few-shot class incremental learning,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.671410Z

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Observation c84bb848-f502-400e-8008-66c2fc59e3fc · outbound

This paper cites Few-shot class-incremental learning by sampling multi-phase tasks,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Few-shot class-incremental learning by sampling multi-phase tasks,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.662049Z

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Observation e2741787-90c3-409a-861e-a6544feff265 · outbound

This paper cites Synthesized feature based few-shot class- incremental learning on a mixture of subspaces,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Synthesized feature based few-shot class- incremental learning on a mixture of subspaces,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.651739Z

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Observation d6496ae7-e45f-43e8-8907-421ed045278c · outbound

This paper cites Forward compatible few-shot class-incremental learning,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Forward compatible few-shot class-incremental learning,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.640345Z

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Observation dfaa2909-951a-43e3-8104-75cf5fb1d9ec · outbound

This paper cites Topology-preserving class-incremental learning,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Topology-preserving class-incremental learning,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.629836Z

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Observation a82ab8e8-3379-43cc-a26c-df2044aff0e0 · outbound

This paper cites Energy-based latent aligner for incremental learning,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Energy-based latent aligner for incremental learning,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.618666Z

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Observation e8f8e08f-5971-4ff7-bc6f-59bb1ebf9cdb · outbound

This paper cites Geometer: Graph few-shot class-incremental learning via prototype representation,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Geometer: Graph few-shot class-incremental learning via prototype representation,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.607013Z

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Observation ff1985c5-2a6e-4781-b0b9-f6f67964adf0 · outbound

This paper cites Incremental few-shot learning via vector quantization in deep embedded space,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Incremental few-shot learning via vector quantization in deep embedded space,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.595432Z

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Observation 8c8354b5-0d5a-4c5e-a86e-130198ea931e · outbound

This paper cites Subspace regularizers for few-shot class incremental learning,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Subspace regularizers for few-shot class incremental learning,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.584757Z

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Observation 0a839b7a-eb0f-4ef9-ad35-6307efffc456 · outbound

This paper cites Learning with fantasy: Semantic-aware virtual contrastive constraint for few-shot class- incremental learning,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Learning with fantasy: Semantic-aware virtual contrastive constraint for few-shot class- incremental learning,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.574477Z

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Observation ce0eef43-6ea3-4cb9-afc3-80cfa0fd44d8 · outbound

This paper cites Orco: Towards better gener- alization via orthogonality and contrast for few-shot class-incremental learning,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Orco: Towards better gener- alization via orthogonality and contrast for few-shot class-incremental learning,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.563586Z

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Observation 3b938073-0b24-4387-a0de-aae1decbadad · outbound

This paper cites Compositional few-shot class- incremental learning,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Compositional few-shot class- incremental learning,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.552570Z

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Observation e94ea478-12bd-498c-80c6-47286ffdbefe · outbound

This paper cites Delve into base-novel confu- sion: redundancy exploration for few-shot class-incremental learning,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Delve into base-novel confu- sion: redundancy exploration for few-shot class-incremental learning,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.541299Z

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Observation a77cd387-9e2d-468c-a626-bc743c31ee14 · outbound

This paper cites Closer: Towards better representation learning for few-shot class-incremental learning,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Closer: Towards better representation learning for few-shot class-incremental learning,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.529416Z

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Observation 00eb9fd3-7c5b-48c3-9489-c64226f7b16a · outbound

This paper cites Constrained few-shot class-incremental learning,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Constrained few-shot class-incremental learning,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.517986Z

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Observation 05e00560-2e71-4124-b937-54e45408ab8f · outbound

This paper cites Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-10T21:25:20.736952Z

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Observation 30fc58c8-9423-43aa-97bf-d878502e4134 · outbound

This paper cites Self-promoted prototype refinement for few-shot class-incremental learning,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Self-promoted prototype refinement for few-shot class-incremental learning,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.506464Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7bd9deaa-62a2-400d-baa7-3c6b7c85e82e · outbound

This paper cites Few- shot class-incremental learning via training-free prototype calibration,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Few- shot class-incremental learning via training-free prototype calibration,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.494956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 69a7d120-8b90-4000-8232-924236dfb897 · outbound

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

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Few-shot class-incremental learning via relation knowledge distillation,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.483186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 828dd4f9-6acd-4810-923c-c7da6c70f271 · outbound

This paper cites Semantic-aware knowledge distillation for few-shot class- incremental learning,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Semantic-aware knowledge distillation for few-shot class- incremental learning,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.473664Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f6dbcfb1-4fb6-4845-9d77-344d83524493 · outbound

This paper cites Few-shot class-incremental learning via class-aware bilateral distillation,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Few-shot class-incremental learning via class-aware bilateral distillation,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.464178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0a87de7e-d2b8-474e-bf04-df10a403aa42 · outbound

This paper cites The power of scale for parameter- efficient prompt tuning,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning The power of scale for parameter- efficient prompt tuning,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.453600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ac053311-e2eb-4307-83be-442b5b00477c · outbound

This paper cites Prefix-tuning: Optimizing continuous prompts for generation,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Prefix-tuning: Optimizing continuous prompts for generation,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.442280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a78987ff-52c7-4571-a37a-9df31dae12bb · outbound

This paper cites Visual prompt tuning,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Visual prompt tuning,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.430805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 551db703-6ed3-49b1-acf6-32da8557a37b · outbound

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

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Dualprompt: Complementary prompting for rehearsal-free continual learning,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.419396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 326c4b87-8dee-483f-ab28-4a4bd18386d9 · outbound

This paper cites Parameter-efficient transfer learning for nlp,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Parameter-efficient transfer learning for nlp,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.406941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 259bc1b0-f8e8-4e07-8922-811fe9fe3ada · outbound

This paper cites Towards a unified view of parameter-efficient transfer learning,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Towards a unified view of parameter-efficient transfer learning,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.394368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 26cdd75d-7f30-49e3-b0a8-6e6ba8ac4b3f · outbound

This paper cites Conditional adapters: Parameter-efficient transfer learning with fast inference,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Conditional adapters: Parameter-efficient transfer learning with fast inference,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.381856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 749f67fb-31c0-4f5e-8d42-e9e1da812af2 · outbound

This paper cites LoRA: Low-rank adaptation of large language models,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning LoRA: Low-rank adaptation of large language models,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.371112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fb602c84-2346-42c7-b0f5-69b09a133e21 · outbound

This paper cites PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-10T21:25:20.790566Z

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Observation 19cba926-b45d-4203-b16f-14cbc51fcdb2 · outbound

This paper cites ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-10T21:25:20.794372Z

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Observation d05a6015-e1b7-4583-b01f-8e474edd6df0 · outbound

This paper cites Dora: Weight-decomposed low-rank adaptation,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Dora: Weight-decomposed low-rank adaptation,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.360458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c66b3199-a36e-46bc-9443-435ec82748c0 · outbound

This paper cites The use of multiple measurements in taxonomic problems,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning The use of multiple measurements in taxonomic problems,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.348779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b012fb4b-8c3a-4f32-ac58-36f0b47430b9 · outbound

This paper cites an unresolved cited work.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Unresolved cited work

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-10T21:25:20.805510Z

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Observation d0e9937d-fd32-4d79-9c73-cc944a6c21a9 · outbound

This paper cites A law of data separation in deep learning,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning A law of data separation in deep learning,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.330566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d983d14c-6a0d-43c4-ae9a-e54da4cc54d6 · outbound

This paper cites Imagenet large scale visual recognition challenge,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Imagenet large scale visual recognition challenge,

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-10T21:25:20.812471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db13ce0a-1a2e-4b69-bf5d-ee9b2bbf0d25 · outbound

This paper cites The caltech- ucsd birds-200-2011 dataset,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning The caltech- ucsd birds-200-2011 dataset,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.310457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6ddae750-05fb-469c-9c46-218a47ce6b9c · outbound

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

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Learning multiple layers of features from tiny images,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.298099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f7349f65-6155-4a91-ac44-c89e289a1759 · outbound

This paper cites mixup: Beyond empirical risk management,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning mixup: Beyond empirical risk management,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.286296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 55f426b1-f205-4d4d-84f7-5cebd6e5a5bd · outbound

This paper cites Improved Regularization of Convolutional Neural Networks with Cutout.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Improved Regularization of Convolutional Neural Networks with Cutout

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-10T21:25:20.826129Z

Source-reported events for the cited work

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Observation 37692328-b3af-46fe-baf4-7518d548c290 · outbound

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

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-10T21:25:20.829780Z

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Observation a85914cc-92c1-4472-8eb7-e833e5353b18 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-10T21:25:20.833555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8c9a0dd-eb08-4368-91b9-2843f1cfa937 · outbound

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

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Learning transferable visual models from natural language supervision,

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-10T21:25:20.837495Z

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Unavailable: canonical work link unavailable.

Observation 9ed5e5a8-e1de-4222-8b63-0247186ef2ce · outbound

This paper cites Improved continually evolved classifiers for few-shot class-incremental learning,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Improved continually evolved classifiers for few-shot class-incremental learning,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.260205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4cfc9c32-c168-42db-ae6e-a3b206d43939 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-10T21:25:20.844807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bd69418-8151-4ea8-a4de-c310ba9dce54 · outbound

This paper cites Few-shot class incremental learning leveraging self- supervised features,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Few-shot class incremental learning leveraging self- supervised features,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.242671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 248aa74e-a76e-4d51-8fc3-0dc40248b630 · outbound

This paper cites Dynamic support network for few-shot class incremental learning,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Dynamic support network for few-shot class incremental learning,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.231445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 657001c2-6e75-4e0e-971f-ee7bc8797746 · outbound

This paper cites Margin-based few-shot class- incremental learning with class-level overfitting mitigation,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Margin-based few-shot class- incremental learning with class-level overfitting mitigation,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.219979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3c335e7d-db0d-4558-ba9a-4486459e3e8f · outbound

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

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Imagenet: A large-scale hierarchical image database,

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-10T21:25:20.860125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f93c8cc-fcb9-4d43-929b-94410fa3f323 · outbound

This paper cites Coda-prompt: Continual decom- posed attention-based prompting for rehearsal-free continual learning,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Coda-prompt: Continual decom- posed attention-based prompting for rehearsal-free continual learning,

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.200775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 72a19eb0-cbf8-4526-aa8e-e2cfb0fc3f2c · outbound

This paper cites Expandable subspace ensemble for pre-trained model-based class-incremental learning,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Expandable subspace ensemble for pre-trained model-based class-incremental learning,

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.186626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4ea00698-7206-40c8-be24-9a8d682841fe · outbound

This paper cites Large scale incremental learning,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Large scale incremental learning,

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.173591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9f9ea79b-357a-4c23-b7d6-5ea0672f6536 · outbound

This paper cites Generalized and incremental few-shot learning by explicit learning and calibration without forgetting,.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Generalized and incremental few-shot learning by explicit learning and calibration without forgetting,

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:21.162555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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