Pith. sign in

Paper Citation Record · LEDGER

Machine learning of log-likelihood functions in global analysis of parton distributions

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2201.06586.

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

pith.paper-citation-record.v1
2201.06586 v3

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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:24:15.224243Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T21:11:57.299043Z

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 0f1cc011-fc70-446d-bb0f-cd1be44b07af · inbound

Fingerprinting New Physics with Effective Field Theories cites this paper.

Fingerprinting New Physics with Effective Field Theories Machine learning of log-likelihood functions in global analysis of parton distributions

Reference 255

Resolution
unresolved
no resolver link, observed 2026-08-10T20:24:15.224243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:24:15.224243Z digest=sha256:770217fcea14f213d415e1d7c8b05b5aa11d90e8bad26d89a658c08eb07ce53b

Observation 4a73065a-ca98-489e-a232-f5f999248216 · inbound

Explainable AI-assisted Optimization for Feynman Integral Reduction cites this paper.

Explainable AI-assisted Optimization for Feynman Integral Reduction Machine learning of log-likelihood functions in global analysis of parton distributions

Reference 65

Resolution
verified exact
local_arxiv, observed 2026-08-07T21:11:57.305044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T21:11:56.543941Z digest=sha256:3ef8b70a470db83c9371b40fe244c46802d660a5b13b539d953f6099eb3869d5