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Paper Citation Record · LEDGER

FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference

As of 14 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2502.02363.

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

pith.paper-citation-record.v1
2502.02363 v2

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T12:33:07.469819Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

14 of 14 outbound references displayed

  • verified exact0
  • verified fuzzy10
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 57ac0100-a3a9-4806-b345-4276debecc6d · outbound

This paper cites The marginal likelihood is given by π(y) = Z ∞ −∞ N (y | β, σ2)πHS(β)dβ = 1√ 2πσ 2 Z ∞ 0 1√ 1 + ν2 e − y2 2σ2 (1+ν2 ) p(ν)dν = 2 π √ 2πσ 2 Z ∞ 0 e − y2 2σ2 (1+ν2 ) 1 (1 + ν2)3/2 dν.

FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference The marginal likelihood is given by π(y) = Z ∞ −∞ N (y | β, σ2)πHS(β)dβ = 1√ 2πσ 2 Z ∞ 0 1√ 1 + ν2 e − y2 2σ2 (1+ν2 ) p(ν)dν = 2 π √ 2πσ 2 Z ∞ 0 e − y2 2σ2 (1+ν2 ) 1 (1 + ν2)3/2 dν

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:33:07.629004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T12:33:07.436938Z digest=sha256:dfbe9fee01cb59a8d75288d19a4e9bfaf4e2a14165dc181e8c1572de1f65fe59

Observation 360e4bf9-e729-4d27-b9f2-c8c496cd0962 · outbound

This paper cites an unresolved cited work.

FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-09T12:33:07.553702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T12:33:07.462943Z digest=sha256:7507904086b4e51b57487ed43a876f80efafe9e4087f5c0586718149ccec4cca

Observation ba04e0dc-8cd9-419f-a0a3-dea0575107bb · outbound

This paper cites Using the asymptotic expansion (Slater, 1960, Chapter 4, Eq.

FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference Using the asymptotic expansion (Slater, 1960, Chapter 4, Eq

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:33:07.618818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T12:33:07.440578Z digest=sha256:c749895204b66bb2f2f513aec77278029f8a589adce9b5f39ca4517267ebd128

Observation 2ae35f6e-fd3f-4857-a44c-0ff2074fe641 · outbound

This paper cites While Kummer’s 1F1 function is implemented in many standard scientific libraries, such as SciPy, Φ1 is not.

FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference While Kummer’s 1F1 function is implemented in many standard scientific libraries, such as SciPy, Φ1 is not

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:33:07.607176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T12:33:07.444415Z digest=sha256:273a7bda93230eb02cc5c64085e46bf4343a2fc210cad2b9c495527ab475c66b

Observation d5f2430e-0f81-46f1-99f7-01df96c49aca · outbound

This paper cites Additionally, if the prior π0(β) := π0(β; σ) admits σ as a scale parameter, writing wα(β; σ) for the corresponding tail function, we have wα(β; σ) = wα β σ ; 1.

FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference Additionally, if the prior π0(β) := π0(β; σ) admits σ as a scale parameter, writing wα(β; σ) for the corresponding tail function, we have wα(β; σ) = wα β σ ; 1

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:33:07.596786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T12:33:07.448232Z digest=sha256:a71c78d719a8c27a2d69f99ec7a1ee78a23d0760f4e868225078881fdc4d5377

Observation 75115d64-7c71-40f1-9c91-6ae73f52a6b1 · outbound

This paper cites Let π0(β; σ) be a symmetric prior on β such that the marginal density π(y) has power-law tails, i.e.

FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference Let π0(β; σ) be a symmetric prior on β such that the marginal density π(y) has power-law tails, i.e

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:33:07.585692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T12:33:07.451984Z digest=sha256:96f6e1aa06cb9b99dac951f4cfb25a4a8bd58a09e0efaee61ecbfe56c982ccaa

Observation 16911417-1f13-47c5-a672-a3983b54d93e · outbound

This paper cites With the above two lemmas, we can now prove Theorem 4.1, which we restate here in extended form.

FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference With the above two lemmas, we can now prove Theorem 4.1, which we restate here in extended form

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:33:07.574319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T12:33:07.455900Z digest=sha256:d55db241949caa68b2578825f7f823acfcb396887e967576d8365e7bd48069df

Observation 9a2ecc6b-539c-4ff4-8147-c6bbe601ac64 · outbound

This paper cites Therefore, (S41) and (S42) hold almost surely by sandwiching.

FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference Therefore, (S41) and (S42) hold almost surely by sandwiching

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:33:07.563877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T12:33:07.459476Z digest=sha256:114688ecb90e9c9352dc4946796f2eae4441850412119193fd3d089801dda559

Observation 5aa716c4-5c4a-4d9f-b448-eff3c2938bd0 · outbound

This paper cites The goal is to estimate the fraction of galaxies with spiral arms, i.e.

FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference The goal is to estimate the fraction of galaxies with spiral arms, i.e

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:33:07.543521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T12:33:07.466375Z digest=sha256:8fe2fd71af1844d6fe1cf74015b260e5c18f56eb5ed274a917e893bddea243f1

Observation 963f2bbc-d5d3-4fb0-8c24-679eb14d8d95 · outbound

This paper cites Mean estimation experiment on the FOREST dataset with varying horseshoe prior scale.

FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference Mean estimation experiment on the FOREST dataset with varying horseshoe prior scale

Reference 1596

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:33:07.532571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T12:33:07.469819Z digest=sha256:b0a2d7d3f5b693dd4d2170ea142e4f2cf839123eb79d0f53e945aa58347f6170

Observation 91fc120d-c367-48af-8255-5878f8eaf626 · outbound

This paper cites PPI++: Efficient Prediction-Powered Inference.

FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference PPI++: Efficient Prediction-Powered Inference

Reference 1974

Resolution
unresolved
no resolver link, observed 2026-08-09T12:33:07.419947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:33:07.419947Z digest=sha256:d5ecfebe60aa4a6a4745fda43ce830df3306cb097191af688f954805297d8218

Observation 5acbeb15-5b4c-4eb3-86a1-548d44a1c663 · outbound

This paper cites A., Dhingra, B., Globerson, A., and Cohen, W.

FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference A., Dhingra, B., Globerson, A., and Cohen, W

Reference 2008

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:33:07.639474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T12:33:07.429036Z digest=sha256:f3399002c7fafc73b514fa34256795f53bef71ccde8429d2784e803caf66769a

Observation e84f6fd5-5e7b-4fad-a221-3798b4a76c50 · outbound

This paper cites Bayes-assisted Confidence Regions: Focal Point Estimator and Bounded-influence Priors.

FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference Bayes-assisted Confidence Regions: Focal Point Estimator and Bounded-influence Priors

Reference 2010

Resolution
unresolved
no resolver link, observed 2026-08-09T12:33:07.424695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:33:07.424695Z digest=sha256:cef3b41a41c6a45505e45e27359913516d94c733defe6f15bfc9e8c2e2e272eb

Observation d5c743d3-5c52-4667-b1e9-e51dd34c7af2 · outbound

This paper cites Bayesian Prediction-Powered Inference.

FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference Bayesian Prediction-Powered Inference

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-09T12:33:07.432808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:33:07.432808Z digest=sha256:de843c9053e10f7ff551693297cbeef5ad43df33d1aa086fd76514e2fd3e1240

Pith citing papers

No inbound Pith citation observations are available.