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Paper Citation Record · LEDGER

Consistent estimation of high-dimensional factor models when the factor number is over-estimated

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1811.00306.

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

pith.paper-citation-record.v1
1811.00306 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:24:41.547076Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T15:24:41.737233Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d1ba780f-63a9-49dc-9bdd-8653a4cb763c · inbound

Learning Latent Factors from Diversified Projections and its Applications to Over-Estimated and Weak Factors cites this paper.

Learning Latent Factors from Diversified Projections and its Applications to Over-Estimated and Weak Factors Consistent estimation of high-dimensional factor models when the factor number is over-estimated

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-14T15:24:41.744121Z

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.

source=arxiv_source observed=2026-08-14T15:24:41.547076Z digest=sha256:99a022e1affa7af6aa31d4213e65b45e3880534faf841c1300ea28d2f18f4ec3