Paper Citation Record · LEDGER

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective

As of 7 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2505.20970.

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

pith.paper-citation-record.v1
2505.20970 v3

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:55:28.053881Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T23:42:04.074362Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

48 of 48 outbound references displayed

verified exact4
verified fuzzy23
unresolved20
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 080a9b54-8205-4913-92c1-833fa4ae5a02 · outbound

This paper cites write newline.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective write newline

Reference 1

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Observation 758dc1c3-4246-48a2-9292-9186309c4fcc · outbound

This paper cites and Yasaei Sekeh, S.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective and Yasaei Sekeh, S

Reference 2

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Observation 0dc0ef1a-5419-4f44-9904-54dfc19e354e · outbound

This paper cites Stronger generalization bounds for deep nets via a compression approach.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective Stronger generalization bounds for deep nets via a compression approach

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:55:32.840945Z

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Observation ec803fb8-a487-4c88-ba86-1693e97e7883 · outbound

This paper cites Statistical mechanical analysis of catastrophic forgetting in continual learning with teacher and student networks.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective Statistical mechanical analysis of catastrophic forgetting in continual learning with teacher and student networks

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:55:32.617379Z

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Observation 05023432-cea4-4e14-a7ca-e841b9597476 · outbound

This paper cites Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent

Reference 5

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Observation be5210eb-0c83-4644-bcb8-6e5a8b97b779 · outbound

This paper cites New Insights on Reducing Abrupt Representation Change in Online Continual Learning.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective New Insights on Reducing Abrupt Representation Change in Online Continual Learning

Reference 6

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Observation d03a7fb1-9d8e-4b6a-a09e-fc981e3821a5 · outbound

This paper cites Provable lifelong learning of representations.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective Provable lifelong learning of representations

Reference 7

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Observation 9c2a4776-c20a-4b47-bc89-dd76dc1c1f5c · outbound

This paper cites Memory bounds for continual learning.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective Memory bounds for continual learning

Reference 8

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Observation a230214d-eefd-4ed5-82da-d0308a795221 · outbound

This paper cites and Liu, B.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective and Liu, B

Reference 9

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Observation 1ab84a24-4e68-4db7-8335-118e508e8034 · outbound

This paper cites A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets

Reference 10

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Observation 1e3077d7-f76e-49e2-9b60-bf7288c23a90 · outbound

This paper cites Probing representation forgetting in supervised and unsupervised continual learning.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective Probing representation forgetting in supervised and unsupervised continual learning

Reference 11

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Observation 1fe805f9-a4ac-4b73-a665-0ff2028ded9a · outbound

This paper cites Understanding Forgetting in Continual Learning with Linear Regression.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective Understanding Forgetting in Continual Learning with Linear Regression

Reference 12

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Observation c7965bb6-2a67-49d9-a92f-691d5c56819a · outbound

This paper cites A., Mazoure, B., Rabusseau, G., and Alquier, P.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective A., Mazoure, B., Rabusseau, G., and Alquier, P

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:55:31.425624Z

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Observation 2a55f701-273f-4e69-8bfd-333a292c666b · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 14

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Observation 45560674-c384-4b43-a7bd-43ad62f177ec · outbound

This paper cites How catastrophic can catastrophic forgetting be in linear regression? In Conference on Learning Theory, pp.\ 4028--4079.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective How catastrophic can catastrophic forgetting be in linear regression? In Conference on Learning Theory, pp.\ 4028--4079

Reference 15

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Observation 2043b1d2-0ac4-410c-95d4-8d104370bcd1 · outbound

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Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective Unresolved cited work

Reference 16

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Observation 03a39808-fe8c-4140-b871-3c4ecc6c9d02 · outbound

This paper cites M., Krzakala, F., and Zdeborov \'a , L.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective M., Krzakala, F., and Zdeborov \'a , L

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:55:30.718604Z

Source-reported events for the cited work

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Observation d995c672-9e0e-4bdc-a527-16774946a816 · outbound

This paper cites On the Diminishing Returns of Width for Continual Learning.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective On the Diminishing Returns of Width for Continual Learning

Reference 18

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Observation d0da6729-d53e-488e-9f1d-ba6fecc26746 · outbound

This paper cites A., and Pascanu, R.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective A., and Pascanu, R

Reference 19

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This paper cites Deep residual learning for image recognition.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective Deep residual learning for image recognition

Reference 20

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Observation 0abfd7a5-361f-4409-b641-de0103f7177f · outbound

This paper cites Provable continual learning via sketched jacobian approximations.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective Provable continual learning via sketched jacobian approximations

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:55:30.465598Z

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Observation 4464d216-8c6f-45ae-8ebe-87f49330ab5f · outbound

This paper cites Knowledge Accumulation in Continually Learned Representations and the Issue of Feature Forgetting.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective Knowledge Accumulation in Continually Learned Representations and the Issue of Feature Forgetting

Reference 22

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Observation e5540138-e0f1-4e0f-b0ea-7d60dd36bf6c · outbound

This paper cites Learning Curves for Continual Learning in Neural Networks: Self-Knowledge Transfer and Forgetting.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective Learning Curves for Continual Learning in Neural Networks: Self-Knowledge Transfer and Forgetting

Reference 23

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Observation 05b4004d-1813-41ad-a6cf-0e3095abb333 · outbound

This paper cites A theoretical study on solving continual learning.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective A theoretical study on solving continual learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:55:30.281613Z

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Observation 472acd55-048d-41b3-bb87-f914b4f33f29 · outbound

This paper cites Similarity of neural network representations revisited.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective Similarity of neural network representations revisited

Reference 25

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This paper cites P., Chakravarthi Raja, S., Cheney, N., Clune, J., et al.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective P., Chakravarthi Raja, S., Cheney, N., Clune, J., et al

Reference 26

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Observation cfa62a59-f23e-408c-8b00-9a44b7c7f900 · outbound

This paper cites Continual learning in the teacher-student setup: Impact of task similarity.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective Continual learning in the teacher-student setup: Impact of task similarity

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:55:30.031291Z

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Observation 831ed90d-bcf4-40c3-ad41-11412b1b61c7 · outbound

This paper cites Fixed design analysis of regularization-based continual learning.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective Fixed design analysis of regularization-based continual learning

Reference 28

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Observation 27c44124-cc45-431d-a5c9-c17435f9c137 · outbound

This paper cites Provable and Efficient Continual Representation Learning.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective Provable and Efficient Continual Representation Learning

Reference 29

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This paper cites Theory on forgetting and generalization of continual learning.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective Theory on forgetting and generalization of continual learning

Reference 30

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Observation ade0fdf9-3982-465e-ba09-76d49a61ad9c · outbound

This paper cites Investigating Forgetting in Pre-Trained Representations Through Continual Learning.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective Investigating Forgetting in Pre-Trained Representations Through Continual Learning

Reference 31

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Observation d5ee8f53-8ef7-493a-a06e-f6b87a8640a0 · outbound

This paper cites Domain Adaptation: Learning Bounds and Algorithms.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective Domain Adaptation: Learning Bounds and Algorithms

Reference 32

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This paper cites L., McNaughton, B.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective L., McNaughton, B

Reference 33

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Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective and Cohen, N

Reference 34

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Observation 011e78e6-2646-493b-a609-e2b38b65ef3f · outbound

This paper cites What is happening inside a continual learning model? a representation-based evaluation of representational forgetting.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective What is happening inside a continual learning model? a representation-based evaluation of representational forgetting

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:55:29.723767Z

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Observation 92371c20-3bf7-4139-a8a1-c68fc3012464 · outbound

This paper cites The ideal continual learner: An agent that never forgets.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective The ideal continual learner: An agent that never forgets

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:55:29.643839Z

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Observation 2a2d2744-cf3a-481f-accc-c70ad9ee7697 · outbound

This paper cites and Lampert, C.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective and Lampert, C

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:55:29.551882Z

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Observation d22b2616-fe9f-454c-b01f-3ca9e8d0e137 · outbound

This paper cites Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics

Reference 38

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This paper cites W., and Hadsell, R.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective W., and Hadsell, R

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:55:29.478737Z

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Observation a0e1c1d8-8a5e-4e1e-8b67-e041c57c193a · outbound

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Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective and Solla, S

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:55:29.435853Z

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Observation 825b1822-c632-416f-82f5-2fd968f222f4 · outbound

This paper cites and Solla, S.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective and Solla, S

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:55:29.360720Z

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Observation 36db6ba9-c671-4014-b900-e6d11d4151d5 · outbound

This paper cites Supervised learning in the presence of concept drift: a modelling framework.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective Supervised learning in the presence of concept drift: a modelling framework

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:55:29.295566Z

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Observation acc44084-6a21-4be8-a64b-8b6b919d4006 · outbound

This paper cites Provable Contrastive Continual Learning.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective Provable Contrastive Continual Learning

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:55:28.345938Z

Source-reported events for the cited work

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Observation 87dabbfb-a024-4066-a6a9-b17adb069e7e · outbound

This paper cites Optimization and Generalization of Regularization-Based Continual Learning: a Loss Approximation Viewpoint.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective Optimization and Generalization of Regularization-Based Continual Learning: a Loss Approximation Viewpoint

Reference 44

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This paper cites and Okada, M.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective and Okada, M

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:55:29.111593Z

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Observation e80fd766-1040-42ae-a7fc-57f933ce11b1 · outbound

This paper cites Feature Forgetting in Continual Representation Learning.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective Feature Forgetting in Continual Representation Learning

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:55:28.247995Z

Source-reported events for the cited work

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Observation 7758cded-f724-4bf6-ad23-d4ffa070d100 · outbound

This paper cites Integrating Present and Past in Unsupervised Continual Learning.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective Integrating Present and Past in Unsupervised Continual Learning

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T13:55:27.989875Z

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Observation 841e4b44-970f-4f18-937d-a5272f92d427 · outbound

This paper cites A Statistical Theory of Regularization-Based Continual Learning.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective A Statistical Theory of Regularization-Based Continual Learning

Reference 48

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Pith citing papers

Observation d6baebfe-0891-4727-97a3-55badac82840 · inbound

Forgetting is Everywhere cites this paper.

Forgetting is Everywhere Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective

Reference 6

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Source-reported events for the cited work

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