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Paper Citation Record · LEDGER

Large-dimensional Factor Analysis without Moment Constraints

As of 16 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:1908.04957.

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

pith.paper-citation-record.v1
1908.04957 v3

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:37:49.522214Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

24 of 24 outbound references displayed

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  • unresolved3
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 22f55ff2-77cd-429a-ba11-5b207a0b01f3 · outbound

This paper cites Eigenvalue ratio test for the number of factors.

Large-dimensional Factor Analysis without Moment Constraints Eigenvalue ratio test for the number of factors

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c7e0f40e-048b-44e5-ba21-ea8f0c2cb9c6 · outbound

This paper cites Inferential theory for factor models of large dimensions.

Large-dimensional Factor Analysis without Moment Constraints Inferential theory for factor models of large dimensions

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 8211c326-9b6b-42af-ba6b-32d816e2accb · outbound

This paper cites Statistical analysis of factor models of high dimension.

Large-dimensional Factor Analysis without Moment Constraints Statistical analysis of factor models of high dimension

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a0aef8aa-d5e7-4c95-ba29-a17fca7524fd · outbound

This paper cites Theory and methods of panel data models with interactive effects.

Large-dimensional Factor Analysis without Moment Constraints Theory and methods of panel data models with interactive effects

Reference 4

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Source-reported events for the cited work

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Observation 22c22e63-2c5b-4122-a203-a42618008022 · outbound

This paper cites Maximum likelihood estimation and inference for approximate factor models of high dimension.

Large-dimensional Factor Analysis without Moment Constraints Maximum likelihood estimation and inference for approximate factor models of high dimension

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c482e075-b558-41f3-ac24-6eba57b7923d · outbound

This paper cites Determining the number of factors in approximate factor models.

Large-dimensional Factor Analysis without Moment Constraints Determining the number of factors in approximate factor models

Reference 6

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Source-reported events for the cited work

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Observation 3b6444dd-7d42-47d6-be6a-3412575f48e4 · outbound

This paper cites Arbitrage, factor structure, and mean-variance analysis on large asset markets.

Large-dimensional Factor Analysis without Moment Constraints Arbitrage, factor structure, and mean-variance analysis on large asset markets

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 987fe4f8-74cc-40fd-9620-34922a6d6136 · outbound

This paper cites A multivariate version of kendall’s τ.

Large-dimensional Factor Analysis without Moment Constraints A multivariate version of kendall’s τ

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6b7d1dc7-dfdd-430b-9295-531d12c39e68 · outbound

This paper cites Empirical properties of asset returns: stylized facts and statistical issues.

Large-dimensional Factor Analysis without Moment Constraints Empirical properties of asset returns: stylized facts and statistical issues

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 65210d20-8b2e-4a3f-b28c-9dc9dd392e2f · outbound

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Large-dimensional Factor Analysis without Moment Constraints Unresolved cited work

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 4b09393b-8033-44b6-ab28-6fe24d9591ce · outbound

This paper cites Mandelbrot and the stable paretian hypothesis.

Large-dimensional Factor Analysis without Moment Constraints Mandelbrot and the stable paretian hypothesis

Reference 11

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Source-reported events for the cited work

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Observation 76d9cc11-da28-4e48-8a8a-7df3abe5722f · outbound

This paper cites Large covariance estimation by thresholding principal orthogonal complements.

Large-dimensional Factor Analysis without Moment Constraints Large covariance estimation by thresholding principal orthogonal complements

Reference 12

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Source-reported events for the cited work

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Observation 88913e5e-b3d4-4c00-b54b-2e50013deda1 · outbound

This paper cites Large covariance estimation through elliptical factor models.

Large-dimensional Factor Analysis without Moment Constraints Large covariance estimation through elliptical factor models

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation bd3d4d19-7ed8-4e49-99d9-f084ad704468 · outbound

This paper cites Semiparametric principal component analysis, in: Advances in Neural Information Processing Systems, pp.

Large-dimensional Factor Analysis without Moment Constraints Semiparametric principal component analysis, in: Advances in Neural Information Processing Systems, pp

Reference 14

Resolution
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Observation fab4be49-ed83-45b9-ad10-3fecd74993ee · outbound

This paper cites Scale-invariant sparse PCA on high-dimensional meta-elliptical data.

Large-dimensional Factor Analysis without Moment Constraints Scale-invariant sparse PCA on high-dimensional meta-elliptical data

Reference 15

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Observation 09c6d59c-9fdf-4626-852c-ef407adfaf24 · outbound

This paper cites ECA: High-dimensional elliptical component analysis in non-gaussian distributions.

Large-dimensional Factor Analysis without Moment Constraints ECA: High-dimensional elliptical component analysis in non-gaussian distributions

Reference 16

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Source-reported events for the cited work

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Observation 2d994d9a-c579-4e35-893b-a0e9a5767d31 · outbound

This paper cites Modeling high-frequency financial data by pure jump processes.

Large-dimensional Factor Analysis without Moment Constraints Modeling high-frequency financial data by pure jump processes

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 8d078065-4073-4823-be86-386bdbec5510 · outbound

This paper cites Testing for pure-jump processes for high-frequency data.

Large-dimensional Factor Analysis without Moment Constraints Testing for pure-jump processes for high-frequency data

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Large-dimensional Factor Analysis without Moment Constraints Some robust estimates of principal components

Reference 19

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Observation 7056ce8e-3b2e-4ee0-b1b6-b9f354c24895 · outbound

This paper cites Testing hypotheses about the number of factors in large factor models.

Large-dimensional Factor Analysis without Moment Constraints Testing hypotheses about the number of factors in large factor models

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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This paper cites A randomised sequential procedure to determine the number of factors.

Large-dimensional Factor Analysis without Moment Constraints A randomised sequential procedure to determine the number of factors

Reference 21

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1c05b81d-00f4-45c4-ab14-732f91fc29be · outbound

This paper cites Sign and rank covariance matrices.

Large-dimensional Factor Analysis without Moment Constraints Sign and rank covariance matrices

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b3491a5b-20a2-4097-bb13-df3730b53e3d · outbound

This paper cites Transformed contribution ratio test for the number of factors in static approximate factor models.

Large-dimensional Factor Analysis without Moment Constraints Transformed contribution ratio test for the number of factors in static approximate factor models

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 27ee5c21-0dfa-4819-9582-e429606a89ae · outbound

This paper cites Large-dimensional Factor Analysis without Moment Constraints.

Large-dimensional Factor Analysis without Moment Constraints Large-dimensional Factor Analysis without Moment Constraints

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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