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Paper Citation Record · LEDGER

Analysis of Overparameterization in Continual Learning under a Linear Model

As of 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T13:46:33.730638Z digest=sha256:541aaddbea1a93c412e6e5867c59b1a6e11fca8000f5091d96337452084df5ee

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:d0f35b4ab4040c91db14e2eb25b28cb0dccf65e64b192a905e536148c112ec25

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T13:46:33.737908Z digest=sha256:c67d896f5b6ee089afb2c0a9718c76dd03abe08cdef61ce0a3b0221706f0658e

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T13:46:33.741008Z digest=sha256:4538c2073854dbc0cfea0dd22244c129214d8cc35b7709f956993514dbc78d5d

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T13:46:33.744651Z digest=sha256:c057f8178af690268c90bd069733012d6aa783a8b0c493eab2b5e9b9a1f63dda

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:ea4c06a0f51a2c6871054f6e28b89f3235331417e56299b717e594bbcc634e19

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T13:46:33.751894Z digest=sha256:af1e86440d1114e00bbf796629335ebda04b504527d9fd69296d51339427f988

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T13:46:33.754936Z digest=sha256:137edba65756a4752c0a8576443ddb1adfa01cd1b8d983e4e145046d0e28cedc

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T13:46:33.757956Z digest=sha256:acd200ab003f8f94d5c3fd1e3098bde38d1a829e8afea209f5b212de68ee0734

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=sha256:12cfe83df4ede189bf58575330d6c0c0d8017876e4bddc8586c37b877b085ae8

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T13:46:33.765493Z digest=sha256:8402ffeb92598ccb234b6ed5088939bfc0206fa35ba96bef67b8422ddd2f951f

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:cf6a0e287febf13a9c6ef5959111f6a7df7f9303a2e0ee54d92a44cb77a4d190

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:d16e7e0d1c662c41abc55af727f1a1e28887e9e6bd56a4fc2f601c40588a59e4

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:c5b5733238fab1bf393111fc0a0aa4419fb8a12561c8261af47fb38de172e8fb

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T13:46:33.780447Z digest=sha256:481ebb423e1373c0cd244d75d981a95c6809ba5c9e2074fb491e33385edc42be

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T13:46:33.784129Z digest=sha256:7b9711c15d800e21b7f9615d99326f250027954ad51aacf8cff6c5b4c9e60444

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T13:46:33.787811Z digest=sha256:da9153a43635c777c2f7bc6d5245d90416d348afec5256909c425819d90b65ea

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=sha256:7227d7b5216c9bb3ffb698ac71d00494b131ee750432fc3e9a332236dedd17a9

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=sha256:9506d991733d222b9a1529bf16af3aa3c44434131e47fab5c1005ff1ff13c0a4

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=sha256:3f71eb47c40422642b7b9e60e1c8cb3d55bc66f2ef31933bf9ea75f582143d95

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T13:46:33.802975Z digest=sha256:2da8e73b49459bc5906eeafae3fa524fd37f1bb20f963c23492f9d6cad976de9

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:abdc8a698192cceea0372e22f3c9b05e9c2d05185d2692f6a35bc8170b4b6582

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:ad69ddc7da167d03f24e438a4edaf1bc2a56d612e0fda2989ce6dca53ae432ca

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T13:58:43.158932Z digest=sha256:d241fdaebe4a820f8e846ab4a1e413183229e4c9be36df7b7cb81f7865c2ef71