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Paper Citation Record · LEDGER

Analysis of Overparameterization in Continual Learning under a Linear Model

As of 17 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 2 inbound Pith citation observations for arXiv:2502.10442.

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

pith.paper-citation-record.v1
2502.10442 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:46:33.806839Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:58:32.034399Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

22 of 22 outbound references displayed

  • verified exact0
  • verified fuzzy11
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation d21d0136-7194-46ae-8a97-ad173fd38bbe · outbound

This paper cites Understanding double descent requires a fine-grained bias-variance decomposition.

Analysis of Overparameterization in Continual Learning under a Linear Model Understanding double descent requires a fine-grained bias-variance decomposition

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:46:34.059713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-08T13:46:33.730638Z digest=sha256:f901c2351cad5724e11bb7e2b876639490e2a3956d3d731d4aca98f670bed635

Observation 8ee18784-b459-4a79-9d54-738084ab5a47 · outbound

This paper cites Benign overfitting in linear regression.

Analysis of Overparameterization in Continual Learning under a Linear Model Benign overfitting in linear regression

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-08T13:46:33.734751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:46:33.734751Z digest=sha256:08c70112b9b4275c80315b5b383da1d82474939b49e4cb28756be9b73e2288fc

Observation 855fc994-1b9a-4976-8d6b-75b91129e047 · outbound

This paper cites Two models of double descent for weak features.

Analysis of Overparameterization in Continual Learning under a Linear Model Two models of double descent for weak features

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:46:34.039219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-08T13:46:33.737908Z digest=sha256:bf397251a818c89f592bda732fa7ff08a62adef7d08ecf4dc7e3c3f79fb4b897

Observation ede3829c-acd5-43e7-8d0d-e6d25c171506 · outbound

This paper cites Implicit regularization for deep neural networks driven by an ornstein-uhlenbeck like process.

Analysis of Overparameterization in Continual Learning under a Linear Model Implicit regularization for deep neural networks driven by an ornstein-uhlenbeck like process

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:46:34.023232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-08T13:46:33.741008Z digest=sha256:729a849a6b81375d0fbeb5976de62239b0225b25b7862c97256a2647c7023f16

Observation 5916dba3-4822-466f-a737-abcfeb098df2 · outbound

This paper cites Lifelong machine learning.

Analysis of Overparameterization in Continual Learning under a Linear Model Lifelong machine learning

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:46:34.009632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-08T13:46:33.744651Z digest=sha256:8ad79728b9e6ce2f73bfb6b93e398aa6783f1a4b28727fac8cb36d7b0c7ae53b

Observation 1d1469ae-d0b1-4ee9-9677-f7c050f680f3 · outbound

This paper cites A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning.

Analysis of Overparameterization in Continual Learning under a Linear Model A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-08T13:46:33.747859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:46:33.747859Z digest=sha256:b5f72972deb785a56c6a64a41a050060d8ffaeb2dd944d246804d855eec4bee3

Observation ea957cb6-5635-44b6-a981-2cda0843672e · outbound

This paper cites A continual learning survey: Defying forgetting in classification tasks.

Analysis of Overparameterization in Continual Learning under a Linear Model A continual learning survey: Defying forgetting in classification tasks

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:46:33.998326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-08T13:46:33.751894Z digest=sha256:12f4a040c6015838ba8dd394449fdedff60166c48f1d7ea9e744815bb0c58d95

Observation db7f9221-5d3a-4114-8ea6-7a58f00fd103 · outbound

This paper cites Continual learning in linear classification on separable data.

Analysis of Overparameterization in Continual Learning under a Linear Model Continual learning in linear classification on separable data

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:46:33.987562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-08T13:46:33.754936Z digest=sha256:8ee4c7a0cf811dbb73099287b940409d87fe2e640f5dcac57b710ad42b4237e6

Observation 8bfcc1f4-1c50-4c75-9631-d2e52701e868 · outbound

This paper cites Orthogonal gradient descent for continual learning.

Analysis of Overparameterization in Continual Learning under a Linear Model Orthogonal gradient descent for continual learning

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:46:33.976271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-08T13:46:33.757956Z digest=sha256:38572aa5182b599e62fc7661be21985da47f6c4748b7ad07abfef1e97f53e957

Observation aceb7259-93f2-4125-b9c9-2a97f00431c6 · outbound

This paper cites Catastrophic forgetting in connectionist networks.

Analysis of Overparameterization in Continual Learning under a Linear Model Catastrophic forgetting in connectionist networks

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-08T13:46:33.761712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:46:33.761712Z digest=sha256:710f3784b16f4f311e8595aa0b11770142062ba8d5470ae443e85d243a45516a

Observation 8f3fede7-2e5e-41a5-be87-fa3c87cc63b7 · outbound

This paper cites an unresolved cited work.

Analysis of Overparameterization in Continual Learning under a Linear Model Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-08T13:46:33.958635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-08T13:46:33.765493Z digest=sha256:8ff91f06190a04bca5004efa978275fb2fe4d628510c3b6d9313628c2182eaa0

Observation 516bac2e-2d14-48f1-8020-dffc99480c2f · outbound

This paper cites Surprises in high-dimensional ridgeless least squares interpolation.

Analysis of Overparameterization in Continual Learning under a Linear Model Surprises in high-dimensional ridgeless least squares interpolation

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-08T13:46:33.769388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:46:33.769388Z digest=sha256:1132307f51a41536b79bc7c087cbdf87b2e627372a92aee268004a40b503403f

Observation 80ad41a5-2132-4c35-ade3-39e70b846390 · outbound

This paper cites Overcoming catastrophic forgetting in neural networks.

Analysis of Overparameterization in Continual Learning under a Linear Model Overcoming catastrophic forgetting in neural networks

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-08T13:46:33.773236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:46:33.773236Z digest=sha256:d00a1658d00c881f291a84d753bf205f5cccd264636f599f3a7b616e94c152e9

Observation f5192a70-09ee-4500-9c11-10487535199b · outbound

This paper cites Learning without forgetting.

Analysis of Overparameterization in Continual Learning under a Linear Model Learning without forgetting

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-08T13:46:33.776941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:46:33.776941Z digest=sha256:574e87fdf7da93c6265d842887a1b96a8eb02faf3f4917659aa652173d3474c0

Observation 27266fa6-f041-4eb8-8850-2a2fcbbf14f0 · outbound

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

Analysis of Overparameterization in Continual Learning under a Linear Model Theory on forgetting and generalization of continual learning

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:46:33.922805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-08T13:46:33.780447Z digest=sha256:b9d513852f20761106334cab18bbb96296c14d1c4c961b2fedda917f5c7a9f31

Observation 44e78803-9752-4925-9288-cf967e4f39e1 · outbound

This paper cites Wide neural networks forget less catastrophically.

Analysis of Overparameterization in Continual Learning under a Linear Model Wide neural networks forget less catastrophically

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:46:33.911257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-08T13:46:33.784129Z digest=sha256:909166cd2f293707163c2a010c3acf1c8710f8ec42c1a6c8c881da52f4b24075

Observation 8864ec50-e368-449f-aa62-c5fc228f3a55 · outbound

This paper cites Harmless interpolation of noisy data in regression.

Analysis of Overparameterization in Continual Learning under a Linear Model Harmless interpolation of noisy data in regression

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:46:33.898010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-08T13:46:33.787811Z digest=sha256:112a9331e6be30661d943d248710f514b8f81f97942e7fd4074cb259fd7e70b8

Observation f768ad5f-bdc2-4d7c-b3d6-5cbbad6462f9 · outbound

This paper cites Deep double descent: Where bigger models and more data hurt.

Analysis of Overparameterization in Continual Learning under a Linear Model Deep double descent: Where bigger models and more data hurt

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-08T13:46:33.791317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:46:33.791317Z digest=sha256:db3b483e7ff12d0e172bffb50483b44210ab792dd7a24f4acb0c5737732fb391

Observation 6c6063b0-ec92-4620-8735-7e51601e5f52 · outbound

This paper cites Continual learning with deep generative replay.

Analysis of Overparameterization in Continual Learning under a Linear Model Continual learning with deep generative replay

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-08T13:46:33.795096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:46:33.795096Z digest=sha256:28679d4a78d5a72c11fde6ec0a0a547695365973138cda5b99d4809e487d73a1

Observation aca7f32f-b29d-462b-a5a8-94150c8df2b5 · outbound

This paper cites Introduction to the non-asymptotic analysis of random matrices.

Analysis of Overparameterization in Continual Learning under a Linear Model Introduction to the non-asymptotic analysis of random matrices

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-08T13:46:33.798745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:46:33.798745Z digest=sha256:fdb3961ea02091ef7daffe79c34381046b0f077ddf0f293831b15d859d1a2a21

Observation 967ef4ce-6a97-4ff5-988f-b5d925d1a1e8 · outbound

This paper cites Continual learning through synaptic intelligence.

Analysis of Overparameterization in Continual Learning under a Linear Model Continual learning through synaptic intelligence

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:46:33.869761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-08T13:46:33.802975Z digest=sha256:653b2b88dc4ca98aedc1abbe0df0f669738c089804fb17496a8339384695aa3a

Observation 83464c3f-dcd3-4658-91c5-59a4624f1768 · outbound

This paper cites Understanding deep learning (still) requires rethinking generalization.

Analysis of Overparameterization in Continual Learning under a Linear Model Understanding deep learning (still) requires rethinking generalization

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-08T13:46:33.806839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:46:33.806839Z digest=sha256:468d8c184ebee85a53ae3577dcc78fc65a245b6b851377290e2fc5280d18c220

Pith citing papers

Observation d87c2d17-d13c-4f72-b2ec-3379d59d4039 · inbound

High-dimensional Asymptotics of Generalization Performance in Continual Ridge Regression cites this paper.

High-dimensional Asymptotics of Generalization Performance in Continual Ridge Regression Analysis of Overparameterization in Continual Learning under a Linear Model

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-05T17:58:32.034399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:58:32.034399Z digest=sha256:8ff3e75bfbffa149dc2803f52e54c2f599f157b5fa903cae1c8ca93b0b9c01d2

Observation 82a81f8f-98e4-4844-ae45-7fec406c8d51 · inbound

From Order to Distribution: A Spectral Characterization of Forgetting in Continual Learning cites this paper.

From Order to Distribution: A Spectral Characterization of Forgetting in Continual Learning Analysis of Overparameterization in Continual Learning under a Linear Model

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-10T14:00:27.582828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T13:58:43.158932Z digest=sha256:e61ddc2ad9a98c1b0820c4cd4bd7e14143b33df54a24d5c7f9fde6170182b77c