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Paper Citation Record · LEDGER

CorrGAN: Sampling Realistic Financial Correlation Matrices Using Generative Adversarial Networks

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1910.09504.

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

pith.paper-citation-record.v1
1910.09504 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:49:59.110710Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T00:49:59.399819Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9f9dd017-03e2-4733-bed5-b68ca98204e6 · inbound

A Note on Statistically Accurate Tabular Data Generation Using Large Language Models cites this paper.

A Note on Statistically Accurate Tabular Data Generation Using Large Language Models CorrGAN: Sampling Realistic Financial Correlation Matrices Using Generative Adversarial Networks

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-16T00:49:59.408593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:49:59.110710Z digest=sha256:4a248ac2a5596799b327e66256fd2cd194e6887cc488d62c30ad224f371a74cc

Observation 0c7e7a65-1227-4db7-af31-7f4ad8b916a2 · inbound

String theory mathematics and matrix data analysis cites this paper.

String theory mathematics and matrix data analysis CorrGAN: Sampling Realistic Financial Correlation Matrices Using Generative Adversarial Networks

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-01T02:19:54.534593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:19:54.534593Z digest=sha256:0f4ca971d5b6b0cf3b195b50e57a70a149316d3466c09f81350379d934413d5f