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Paper Citation Record · LEDGER

Explainable AI for High Energy Physics

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2206.06632.

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

pith.paper-citation-record.v1
2206.06632 v1

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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:23:48.606454Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T12:16:17.039197Z

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 52dc2bbb-8089-4194-9956-5f3673abfe2d · inbound

Applicability Evaluation of Selected xAI Methods for Machine Learning Algorithms for Signal Parameters Extraction cites this paper.

Applicability Evaluation of Selected xAI Methods for Machine Learning Algorithms for Signal Parameters Extraction Explainable AI for High Energy Physics

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-16T11:23:48.597583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:23:48.597583Z digest=sha256:dac6fa275e6d818b093be8312af0069c2e9f7fcbd6261ad1329b51babc093b1e

Observation 3bf798f3-9e06-492a-9878-6646955706c3 · inbound

Applicability Evaluation of Selected xAI Methods for Machine Learning Algorithms for Signal Parameters Extraction cites this paper.

Applicability Evaluation of Selected xAI Methods for Machine Learning Algorithms for Signal Parameters Extraction Explainable AI for High Energy Physics

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-16T11:23:48.879520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:23:48.606454Z digest=sha256:47720820a9f55724d4784915358e8b76a186dba7b5c5e2d54d61952a566ea958