Paper Citation Record · LEDGER

A Cautionary Tale of Decorrelating Theory Uncertainties

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2109.08159.

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

pith.paper-citation-record.v1
2109.08159 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:39:57.413212Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T19:58:54.560779Z

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 98247bfc-4dfb-4dac-be52-0eaf58d640cd · inbound

Beyond Scale Variations: Perturbative Theory Uncertainties from Nuisance Parameters cites this paper.

Beyond Scale Variations: Perturbative Theory Uncertainties from Nuisance Parameters A Cautionary Tale of Decorrelating Theory Uncertainties

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T11:06:05.153636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6aafa58b-2edc-44b8-8a31-78166a4f6aec · inbound

Higgs Signal Strength Estimation with Machine Learning under Systematic Uncertainties cites this paper.

Higgs Signal Strength Estimation with Machine Learning under Systematic Uncertainties A Cautionary Tale of Decorrelating Theory Uncertainties

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-05T13:28:03.791979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 584d96e3-f163-47ac-8095-0abbc9e358b7 · inbound

Local Conformal Predictions for Calibrated Surrogates cites this paper.

Local Conformal Predictions for Calibrated Surrogates A Cautionary Tale of Decorrelating Theory Uncertainties

Reference 230

Resolution: verified exact; arxiv_id, observed 2026-07-03T19:58:54.562213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1bdb9439-721e-44bf-9e19-c250725b8888 · inbound

Are We Ready for AI-Driven Discovery? AI Verification Before the Next Fundamental Physics Breakthrough cites this paper.

Are We Ready for AI-Driven Discovery? AI Verification Before the Next Fundamental Physics Breakthrough A Cautionary Tale of Decorrelating Theory Uncertainties

Reference 48

Resolution: unresolved; no resolver link, observed 2026-07-14T00:50:24.285797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e302623-9725-440a-90dd-d668fb2a5929 · inbound

Generative Amplification with Surrogate Monte Carlo cites this paper.

Generative Amplification with Surrogate Monte Carlo A Cautionary Tale of Decorrelating Theory Uncertainties

Reference 218

Resolution: unresolved; no resolver link, observed 2026-08-15T14:39:57.413212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.