Paper Citation Record · LEDGER

Empirical Bayes estimation: When does $g$-modeling beat $f$-modeling in theory (and in practice)?

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2211.12692.

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

pith.paper-citation-record.v1
2211.12692 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:44:33.956445Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T07:29:39.506173Z

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 490bd051-388e-463c-9a28-f8400b21a226 · inbound

Optimizing Returns from Experimentation Programs cites this paper.

Optimizing Returns from Experimentation Programs Empirical Bayes estimation: When does $g$-modeling beat $f$-modeling in theory (and in practice)?

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-11T20:44:33.956445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3be2fbb9-8b35-4c6b-a5f8-746654d36b40 · inbound

Besting Good--Turing: Optimality of Non-Parametric Maximum Likelihood for Distribution Estimation cites this paper.

Besting Good--Turing: Optimality of Non-Parametric Maximum Likelihood for Distribution Estimation Empirical Bayes estimation: When does $g$-modeling beat $f$-modeling in theory (and in practice)?

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T22:31:24.923420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a597387-113c-4d05-9e05-c8a2d645c337 · inbound

Universal priors: solving empirical Bayes via Bayesian inference and pretraining cites this paper.

Universal priors: solving empirical Bayes via Bayesian inference and pretraining Empirical Bayes estimation: When does $g$-modeling beat $f$-modeling in theory (and in practice)?

Reference 1956

Resolution: unresolved; no resolver link, observed 2026-08-02T23:03:08.164630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25beefee-e05b-4978-a0ed-b4cf6a27bbea · inbound

Adaptivity of the NPMLE to finitely discrete mixing distributions in Gaussian/Poisson mixtures cites this paper.

Adaptivity of the NPMLE to finitely discrete mixing distributions in Gaussian/Poisson mixtures Empirical Bayes estimation: When does $g$-modeling beat $f$-modeling in theory (and in practice)?

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:31:01.160200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2b2b2ba2-ac13-433e-9bd9-c77d5d6a1fdb · inbound

Fast computation and theoretical guarantees for the NPMLE in exponential family mixtures cites this paper.

Fast computation and theoretical guarantees for the NPMLE in exponential family mixtures Empirical Bayes estimation: When does $g$-modeling beat $f$-modeling in theory (and in practice)?

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:46:04.609197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1502bcb0-8172-4407-bce7-fd0f2bee3295 · inbound

Quasi-Bayes empirical Bayes estimation of sums of random variables cites this paper.

Quasi-Bayes empirical Bayes estimation of sums of random variables Empirical Bayes estimation: When does $g$-modeling beat $f$-modeling in theory (and in practice)?

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-07-04T07:29:39.507471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.