Paper Citation Record · LEDGER

Learning and Generalization with Mixture Data

As of 22 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2504.20651.

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

pith.paper-citation-record.v1
2504.20651 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:32:52.374517Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

26 of 26 outbound references displayed

verified exact1
verified fuzzy18
unresolved7
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7abc2e50-afbe-4e8c-925d-d3203fb45002 · outbound

This paper cites an unresolved cited work.

Learning and Generalization with Mixture Data Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:32:52.682509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ad55aec6-8adb-4833-89ee-96aafca01449 · outbound

This paper cites an unresolved cited work.

Learning and Generalization with Mixture Data Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:32:52.671635Z

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Observation b4761951-7c1e-4f13-8dfa-d6f8b86a0709 · outbound

This paper cites Communication-Efficient Learning of Deep Networks from Decentralized Data.

Learning and Generalization with Mixture Data Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T05:32:52.291491Z

Source-reported events for the cited work

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Observation 4e052488-6d45-4554-afae-628b7f4ea21f · outbound

This paper cites Fed- erated learning: Collaborative machine learning without centralized training data,.

Learning and Generalization with Mixture Data Fed- erated learning: Collaborative machine learning without centralized training data,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:32:52.661681Z

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Observation 3d347091-d5bc-4c8c-9f78-77129ce810a6 · outbound

This paper cites Deep neural netwo rks for youtube recommendations,.

Learning and Generalization with Mixture Data Deep neural netwo rks for youtube recommendations,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:32:52.648765Z

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Observation 1b62b06c-080a-4d03-a89a-bbb9d6fc98af · outbound

This paper cites Learning mixtures of gaussians,.

Learning and Generalization with Mixture Data Learning mixtures of gaussians,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:32:52.637514Z

Source-reported events for the cited work

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Observation 31d7fa45-13e5-48b3-9358-e11a32a05f2c · outbound

This paper cites Mixtures of linear regressions,.

Learning and Generalization with Mixture Data Mixtures of linear regressions,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:32:52.625835Z

Source-reported events for the cited work

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Observation 3f46bebf-f7fc-40e4-82e1-c1efc4d7c43c · outbound

This paper cites Alternating minim ization for mixed linear regression,.

Learning and Generalization with Mixture Data Alternating minim ization for mixed linear regression,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:32:52.614416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 19fe02e8-f906-4211-a327-63b274fbdcba · outbound

This paper cites Solving a Mixture of Many Random Linear Equations by Tensor Decomposition and Alternating Minimization.

Learning and Generalization with Mixture Data Solving a Mixture of Many Random Linear Equations by Tensor Decomposition and Alternating Minimization

Reference 9

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Source-reported events for the cited work

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Observation 48a41855-5e07-4d91-90cb-08d597f4b98d · outbound

This paper cites Statisti cal guarantees for the em algorithm: From population to sample-based analy sis,.

Learning and Generalization with Mixture Data Statisti cal guarantees for the em algorithm: From population to sample-based analy sis,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:32:52.603231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9d63afa8-7ccc-47f7-a3e1-26142c78b0bd · outbound

This paper cites Estimating the coefﬁcients of a mixture of two linear regressions by expectation maximiza tion,.

Learning and Generalization with Mixture Data Estimating the coefﬁcients of a mixture of two linear regressions by expectation maximiza tion,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:32:52.593132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 02a60e5d-4cd6-421d-8f9e-41be21935463 · outbound

This paper cites Sample complexity of learning mixture of sparse linear regression s,.

Learning and Generalization with Mixture Data Sample complexity of learning mixture of sparse linear regression s,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:32:52.580742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a81d3232-253a-4fab-a04e-23cc13a61698 · outbound

This paper cites Recovery of sparse signals from a mixture of linear samples,.

Learning and Generalization with Mixture Data Recovery of sparse signals from a mixture of linear samples,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:32:52.569648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9b6047fe-a48a-4f35-b837-7ef91659a02b · outbound

This paper cites Recovery of spar se linear classiﬁers from mixture of responses,.

Learning and Generalization with Mixture Data Recovery of spar se linear classiﬁers from mixture of responses,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:32:52.558026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5090a089-858b-488d-9932-093524f5c774 · outbound

This paper cites On learning mi xture of linear regressions in the non-realizable setting,.

Learning and Generalization with Mixture Data On learning mi xture of linear regressions in the non-realizable setting,

Reference 15

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d55177fc-745d-4c6b-a434-f27da44291ff · outbound

This paper cites Spectral experts for estim ating mixtures of linear regressions,.

Learning and Generalization with Mixture Data Spectral experts for estim ating mixtures of linear regressions,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:32:52.536952Z

Source-reported events for the cited work

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Observation db38d989-ce7d-43b7-abf7-1e4e6558d262 · outbound

This paper cites Learning Mixtures of Linear Regressions with Nearly Optimal Complexity.

Learning and Generalization with Mixture Data Learning Mixtures of Linear Regressions with Nearly Optimal Complexity

Reference 17

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Observation 9b47b17f-d0d8-402f-ad88-0f9db72d4fc8 · outbound

This paper cites Max- afﬁne regression with universal parameter estimation for s mall-ball designs,.

Learning and Generalization with Mixture Data Max- afﬁne regression with universal parameter estimation for s mall-ball designs,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:32:52.526755Z

Source-reported events for the cited work

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Observation f6f38bca-eab4-4f72-be01-39c787b880d0 · outbound

This paper cites Alternating minimization conv erges super- linearly for mixed linear regression,.

Learning and Generalization with Mixture Data Alternating minimization conv erges super- linearly for mixed linear regression,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:32:52.516485Z

Source-reported events for the cited work

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Observation 1d31c3b6-92bf-4d26-bd4d-d6cb6bff9725 · outbound

This paper cites Mohri, A.

Learning and Generalization with Mixture Data Mohri, A

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:32:52.504238Z

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Observation 0f1fa73a-7ab4-4dfa-a0e0-aac61d575fd9 · outbound

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Learning and Generalization with Mixture Data Unresolved cited work

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7e20b01a-5984-4595-9bf7-0769b6b924d1 · outbound

This paper cites Lecture notes, Uni- versity of California Berkeley, STA T 210b,.

Learning and Generalization with Mixture Data Lecture notes, Uni- versity of California Berkeley, STA T 210b,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:32:52.481092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3b2e6531-b07e-4ff1-91b4-9c265454a82e · outbound

This paper cites Random design analys is of ridge regression,.

Learning and Generalization with Mixture Data Random design analys is of ridge regression,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:32:52.469117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dcd1bfe8-0cca-4429-8ec2-9b024107b4be · outbound

This paper cites an unresolved cited work.

Learning and Generalization with Mixture Data Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:32:52.458673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1950991f-cbbe-44fd-848e-2439436930aa · outbound

This paper cites Lecture notes, rademacher complexity a nd massart’s lemma,.

Learning and Generalization with Mixture Data Lecture notes, rademacher complexity a nd massart’s lemma,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:32:52.448517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3e7ddf06-c22f-4b2d-848b-e8e6bbd7db50 · outbound

This paper cites A Short Note on Concentration Inequalities for Random Vectors with SubGaussian Norm.

Learning and Generalization with Mixture Data A Short Note on Concentration Inequalities for Random Vectors with SubGaussian Norm

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T05:32:52.374517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.