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Paper Citation Record · LEDGER

Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions

As of 10 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2607.22931.

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

pith.paper-citation-record.v1
2607.22931 v1

Coverage vector

measured 39 of 39 reference resolution

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measured 39 of 39 standing notices

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measured 0 of 0 inbound itemization

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measured 0 of 1 external citation measurements

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Reference resolution

39 of 39 outbound references displayed

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Outbound references

Observation ebae2270-a3c1-400c-ac2c-d3784eb6bd01 · outbound

This paper cites Neural Comput.7(1), 108–116 (Jan 1995).https://doi.org/10.1162/neco.1995.7.1.

Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions Neural Comput.7(1), 108–116 (Jan 1995).https://doi.org/10.1162/neco.1995.7.1

Reference 1

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This paper cites In: Advances in Neural Information Pro- cessing Systems (2019).

Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions In: Advances in Neural Information Pro- cessing Systems (2019)

Reference 2

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This paper cites In: Leen, T., Dietterich, T., Tresp, V.

Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions In: Leen, T., Dietterich, T., Tresp, V

Reference 3

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Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions Unresolved cited work

Reference 4

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This paper cites In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019.

Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019

Reference 5

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This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (June 2019).

Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (June 2019)

Reference 6

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This paper cites AIR: Analytic Imbalance Rectifier for Continual Learning.

Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions AIR: Analytic Imbalance Rectifier for Continual Learning

Reference 7

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This paper cites In: Thirty- seventh Conference on Neural Information Processing Systems (2023),https:// openreview.net/forum?id=Asx5eDqFZl.

Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions In: Thirty- seventh Conference on Neural Information Processing Systems (2023),https:// openreview.net/forum?id=Asx5eDqFZl

Reference 8

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This paper cites In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (June 2020).

Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (June 2020)

Reference 9

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This paper cites In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (June 2019).

Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (June 2019)

Reference 10

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This paper cites A Simple Baseline that Questions the Use of Pretrained-Models in Continual Learning.

Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions A Simple Baseline that Questions the Use of Pretrained-Models in Continual Learning

Reference 11

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This paper cites Understanding Dimensional Collapse in Contrastive Self-supervised Learning.

Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions Understanding Dimensional Collapse in Contrastive Self-supervised Learning

Reference 12

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This paper cites In: 8th In- ternational Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26-30, 2020.

Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions In: 8th In- ternational Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26-30, 2020

Reference 13

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This paper cites In: International Conference on Learning Representations (2018),https://openreview.net/forum?id=Hk99zCeAb.

Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions In: International Conference on Learning Representations (2018),https://openreview.net/forum?id=Hk99zCeAb

Reference 14

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This paper cites In: European Conference on Computer Vision.

Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions In: European Conference on Computer Vision

Reference 15

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Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions In: European Conference on Computer Vision

Reference 16

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Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions In: Thirty-seventh Conference on Neural Information Processing Systems (2023), https://openreview.net/forum?id=aec58UfBzA

Reference 17

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This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence (2025).

Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions In: Proceedings of the AAAI Conference on Artificial Intelligence (2025)

Reference 18

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Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions CoRRabs/2511.13880(2025).https: //doi.org/10.48550/ARXIV.2511.13880,https://doi.org/10.48550/arXiv

Reference 19

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Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions In: 2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP)

Reference 20

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Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions In: 9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021

Reference 21

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Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions In: Proceedings of the 12th Annual Conference on Computer Graphics and Interactive Techniques

Reference 22

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This paper cites In: Walsh, T., Shah, J., Kolter, Z.

Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions In: Walsh, T., Shah, J., Kolter, Z

Reference 23

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Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions An Optimal Transport-driven Approach for Cultivating Latent Space in Online Incremental Learning

Reference 24

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Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions Leveraging Hierarchical Taxonomies in Prompt-based Continual Learning

Reference 25

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Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions In: Al-Onaizan, Y., Bansal, M., Chen, Y.N

Reference 26

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Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions In: The Thirteenth Inter- national Conference on Learning Representations (2025),https://openreview

Reference 27

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Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions In: Chaudhuri, K., Salakhutdinov, R

Reference 28

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Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions In: Advances in Neural Information Processing Systems (NeurIPS)

Reference 29

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Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions In: IEEE/CVF Confer- ence on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022

Reference 30

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Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition

Reference 31

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Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions International Conference on Learning Representations (2018), https://openreview.net/forum?id=r1Ddp1-Rb

Reference 32

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Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions In: Advances in Neu- ral Information Processing Systems

Reference 33

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Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 34

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Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions

Reference 35

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no resolver link, observed 2026-08-01T04:13:22.055344Z

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Observation ad144119-fa3d-4b8a-913d-ada11078e90e · outbound

This paper cites an unresolved cited work.

Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions Unresolved cited work

Reference 36

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source=pdf_text observed=2026-08-01T04:13:22.132509Z digest=sha256:2e1e84511acb5639728f156e3cb1d9ece8c19dafcc81367a49f6b4df15a2dc3a

Observation f818b830-8786-4e0b-a4ad-40dd5d351381 · outbound

This paper cites This decomposition scales cubically:C2 ≈O(D 3).

Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions This decomposition scales cubically:C2 ≈O(D 3)

Reference 37

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source=pdf_text observed=2026-08-01T04:13:22.203606Z digest=sha256:5ce206ab065ca16933c7a79d98423e423c7c18deef73585cde7372bed296645c

Observation a41fc625-7ee5-4f96-8cdd-1d53c400184a · outbound

This paper cites Blind Noise.

Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions Blind Noise

Reference 38

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no resolver link, observed 2026-08-01T04:13:22.390145Z

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source=pdf_text observed=2026-08-01T04:13:22.390145Z digest=sha256:b1a9de8c5a1042a6cbc34ade617a33ef05ad6d2c51699590048689a6ed95d77d

Observation 7d466dfe-ee1a-4391-9662-d1698bc9ba40 · outbound

This paper cites 8 Tran et al.

Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions 8 Tran et al

Reference 39

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no resolver link, observed 2026-08-01T04:13:22.465024Z

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source=pdf_text observed=2026-08-01T04:13:22.465024Z digest=sha256:00acc79bbdbac0110118e6cabddcff680ca0d016187dd3c49a682730e78a9ef7

Pith citing papers

No inbound Pith citation observations are available.