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Paper Citation Record · LEDGER

Computationally Efficient Estimation of Large Probit Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.09371.

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

pith.paper-citation-record.v1
2407.09371 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:26:35.697061Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 2c7f4e6f-4813-4b4a-a52b-9a7ecf976ab4 · inbound

Learning Correlated Reward Models: Statistical Barriers and Opportunities cites this paper.

Learning Correlated Reward Models: Statistical Barriers and Opportunities Computationally Efficient Estimation of Large Probit Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-04T09:26:35.697061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:26:35.697061Z digest=sha256:1d044a8980c2d2321c88f7bafb15d36b8380081f2548664462b3ac19b1ee608c

Observation 09a14097-5a7b-40b0-a9a3-7182461e9174 · inbound

The Role of Confounders and Linearity in Ecological Inference: A Reassessment cites this paper.

The Role of Confounders and Linearity in Ecological Inference: A Reassessment Computationally Efficient Estimation of Large Probit Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-03T11:08:49.194611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T11:08:49.194611Z digest=sha256:0263a08c583b9e00adbbb5ccc69a14b6c345291373491347f4be4b528f6d2af5