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Paper Citation Record · LEDGER

Interpretable Uncertainty Quantification in AI for HEP

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2208.03284.

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

pith.paper-citation-record.v1
2208.03284 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:28:03.741075Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T06:41:32.802513Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
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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 8c3cfdfa-01b3-46b0-b5a4-0023330e09bd · inbound

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

Higgs Signal Strength Estimation with Machine Learning under Systematic Uncertainties Interpretable Uncertainty Quantification in AI for HEP

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-05T13:28:03.741075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:28:03.741075Z digest=sha256:d5f940bc1ca751efc6bed1ddc4f81731eaecb661d6969a051d45bd747a04f866

Observation 78e6fa72-c713-40cf-a996-164845d263ec · inbound

Uncertainty in Physics and AI: Taxonomy, Quantification, and Validation cites this paper.

Uncertainty in Physics and AI: Taxonomy, Quantification, and Validation Interpretable Uncertainty Quantification in AI for HEP

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:41:32.808993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T04:04:30.271351Z digest=sha256:3e408d7e175273f9ad1e4f664aa07c351075169a75d6efe8d417020585be27d7

Observation 72475968-d676-43b2-aef0-7d63447d51df · inbound

Uncertainty in Physics and AI: Taxonomy, Quantification, and Validation cites this paper.

Uncertainty in Physics and AI: Taxonomy, Quantification, and Validation Interpretable Uncertainty Quantification in AI for HEP

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-02T14:26:27.020959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:26:27.020959Z digest=sha256:4b26a635a1d6eb0193e03b00a90e8dbe1c4e2bde37059e23d0074617bc647f85