Pith. sign in

Paper Citation Record · LEDGER

Bayesian Inference with Gaussian Processes for the Determination of Parton Distribution Functions

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2404.07573.

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

pith.paper-citation-record.v1
2404.07573 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 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 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:56:15.219918Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:19:31.045038Z

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 7fd81db8-5ee4-4f65-98de-49f441914ee6 · inbound

A simple non-parametric reconstruction of parton distributions from limited Fourier information cites this paper.

A simple non-parametric reconstruction of parton distributions from limited Fourier information Bayesian Inference with Gaussian Processes for the Determination of Parton Distribution Functions

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-11T20:56:15.219918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:56:15.219918Z digest=sha256:b5921c6fb6bf2d819007d7be6d546a688f1d06f58145946e44a30da3ed4a0408

Observation c1059e7d-c76d-411f-a444-d05bf00fbc7f · inbound

Inverse problem in the LaMET framework cites this paper.

Inverse problem in the LaMET framework Bayesian Inference with Gaussian Processes for the Determination of Parton Distribution Functions

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-22T19:01:57.935548Z

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=2026-05-22T19:01:17.925386Z digest=sha256:796eaa6f5db4eadfd7bd5b3b60fff534a20ae5b021a74591e523e4b540bf7663

Observation f4a9a6eb-e4f3-402a-9e70-54da83a765de · inbound

Comment on "LaMET's Asymptotic Extrapolation vs. Inverse Problem" cites this paper.

Comment on "LaMET's Asymptotic Extrapolation vs. Inverse Problem" Bayesian Inference with Gaussian Processes for the Determination of Parton Distribution Functions

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T21:32:31.214466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:32:31.214466Z digest=sha256:b71363fc2bbfde8528c82121adc01e4ccc987c3bbe49bb0035a372c5199e8df2

Observation 05310511-dcb3-4d11-b97d-e908b7f2d254 · inbound

A linear PDF model for Bayesian inference cites this paper.

A linear PDF model for Bayesian inference Bayesian Inference with Gaussian Processes for the Determination of Parton Distribution Functions

Reference 30

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T03:17:01.036336Z

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=2026-05-19T03:14:03.683895Z digest=sha256:714678fdbd8e919d47c5cf87581dc971e5624454ea618caf64f5761f27ffef04

Observation 2da3036a-087b-4d4c-92b2-480e65408877 · inbound

Gradient flow for parton distribution functions: first application to the pion cites this paper.

Gradient flow for parton distribution functions: first application to the pion Bayesian Inference with Gaussian Processes for the Determination of Parton Distribution Functions

Reference 104

Resolution
unresolved
no resolver link, observed 2026-08-05T11:44:03.371174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:44:03.371174Z digest=sha256:cb3a4be972be91043c8ce9ffbbe2eb4209e9fd85e896748a97ba609d654781a0

Observation 6cfaf7a4-7f2e-428c-acaf-4ef17851a4d2 · inbound

Quantitative Understanding of PDF Fits and their Uncertainties cites this paper.

Quantitative Understanding of PDF Fits and their Uncertainties Bayesian Inference with Gaussian Processes for the Determination of Parton Distribution Functions

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-03T13:34:53.551658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:34:53.551658Z digest=sha256:a660ae0779226ea146cb73bb4e63d79e24a13c4198e3143f6cfdcf18d2f25e64

Observation 94276ce7-f993-4b5c-b748-9dc74894c9cd · inbound

AI-assisted modeling and Bayesian inference of unpolarized quark transverse momentum distributions from Drell-Yan data cites this paper.

AI-assisted modeling and Bayesian inference of unpolarized quark transverse momentum distributions from Drell-Yan data Bayesian Inference with Gaussian Processes for the Determination of Parton Distribution Functions

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:00:24.587874Z

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=2026-05-10T12:58:30.503754Z digest=sha256:3503febfe846798fde6000948896407f19a90a81e84c17c49c4b47717fc37917

Observation 4b460738-f01d-4829-adcf-cff4af8c1177 · inbound

Reconstructing the full kinematic dependence of GPDs from pseudo-distributions cites this paper.

Reconstructing the full kinematic dependence of GPDs from pseudo-distributions Bayesian Inference with Gaussian Processes for the Determination of Parton Distribution Functions

Reference 91

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:01:14.852084Z

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=2026-05-08T13:04:39.943147Z digest=sha256:5b00f064fdf574d4df010f88954682b9ac799277b3eba9c2e1aa15561fe852e1

Observation 6445cbc8-4864-467f-8ea5-433bc578f8ac · inbound

The Causal Bootstrap: Bounding Smeared Spectral Functions from Non-Perturbative Euclidean Data cites this paper.

The Causal Bootstrap: Bounding Smeared Spectral Functions from Non-Perturbative Euclidean Data Bayesian Inference with Gaussian Processes for the Determination of Parton Distribution Functions

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-21T05:59:41.233798Z

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=2026-05-21T05:55:21.327076Z digest=sha256:3e01e4dd5c76f92a836ce89191dbc4c329a87a7d2a20ee836a57ad408309c56d

Observation 15b2c302-3332-41fe-95fd-3ba4e2317c74 · inbound

Hyperoptimisation algorithm for the next generation of PDF determinations: ensemble regression with an unbiased selection model cites this paper.

Hyperoptimisation algorithm for the next generation of PDF determinations: ensemble regression with an unbiased selection model Bayesian Inference with Gaussian Processes for the Determination of Parton Distribution Functions

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-01T20:06:11.756165Z

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=2026-06-28T21:42:33.450340Z digest=sha256:9f5fb9535ceed3912637673d755691af12b08d130766c9b351f792221e929eed

Observation 71eb6c7e-a914-4b36-ad52-77387c9bd5b7 · inbound

Kernel transformations and bounds for smeared spectral functions cites this paper.

Kernel transformations and bounds for smeared spectral functions Bayesian Inference with Gaussian Processes for the Determination of Parton Distribution Functions

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:19:31.047088Z

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=2026-06-26T18:12:19.108056Z digest=sha256:23845a76214260c77c75f3c1ea36936925410b44690f9ff26e86b3918fab0aa1

Observation 75f330db-f58a-4113-b1a3-ffff18273631 · inbound

Propagating data noise through the fit: the Monte Carlo replica distribution cites this paper.

Propagating data noise through the fit: the Monte Carlo replica distribution Bayesian Inference with Gaussian Processes for the Determination of Parton Distribution Functions

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-01T15:45:47.926494Z

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=2026-06-30T01:13:30.440787Z digest=sha256:eb87720355c7e54a30263e8311d61246634d9c596d7651311c7388123b4d5a3d

Observation 01c7376d-df01-4e64-a942-3b7a6e3284b2 · inbound

Normalizing Flows to Reconstruct Pseudo-PDFs cites this paper.

Normalizing Flows to Reconstruct Pseudo-PDFs Bayesian Inference with Gaussian Processes for the Determination of Parton Distribution Functions

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-01T02:57:40.260112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T02:57:40.260112Z digest=sha256:ae0c2a292ddabd16134213fe42a3438acfd22a9fef56674e9de0b7a7044c0d12