Paper Citation Record · LEDGER

Unlocking the Black Box: Analysing the EU Artificial Intelligence Act's Framework for Explainability in AI

As of 10 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 0 inbound Pith citation observations for arXiv:2502.14868.

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

pith.paper-citation-record.v1
2502.14868 v1

Coverage vector

measured 6 of 6 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:02:00.997915Z

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

6 of 6 outbound references displayed

verified exact1
verified fuzzy0
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6f3a75a4-32f2-44cd-84e0-852cfc0cc4ed · outbound

This paper cites AI has already started to streamline mundane tasks, advance critical domains of scientific research and disrupt professions and in dustries.

Unlocking the Black Box: Analysing the EU Artificial Intelligence Act's Framework for Explainability in AI AI has already started to streamline mundane tasks, advance critical domains of scientific research and disrupt professions and in dustries

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T15:02:00.975435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 653ec2e6-ee6e-4ba6-9990-edad48682da6 · outbound

This paper cites an unresolved cited work.

Unlocking the Black Box: Analysing the EU Artificial Intelligence Act's Framework for Explainability in AI Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T15:02:00.979926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f08c70ed-25ab-4bd5-9901-6fee59f1e353 · outbound

This paper cites On quantitative aspects of model interpretability.

Unlocking the Black Box: Analysing the EU Artificial Intelligence Act's Framework for Explainability in AI On quantitative aspects of model interpretability

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T15:02:00.983770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b1ac4c7-a59d-4204-9d06-24ed177828ec · outbound

This paper cites Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey.

Unlocking the Black Box: Analysing the EU Artificial Intelligence Act's Framework for Explainability in AI Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T15:02:00.988035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13bec5f1-1458-41b5-8dd9-048f27d79044 · outbound

This paper cites Feature Importance Measure for Non-linear Learning Algorithms.

Unlocking the Black Box: Analysing the EU Artificial Intelligence Act's Framework for Explainability in AI Feature Importance Measure for Non-linear Learning Algorithms

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T15:02:01.032842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a27cacf7-33ad-4acb-8c47-254688e1def7 · outbound

This paper cites It is a principle with far -reaching societal implications, as it can foster trust and empower the public to engage with AI technologies more actively.

Unlocking the Black Box: Analysing the EU Artificial Intelligence Act's Framework for Explainability in AI It is a principle with far -reaching societal implications, as it can foster trust and empower the public to engage with AI technologies more actively

Reference 6

Resolution: verified exact; doi, observed 2026-08-10T15:02:01.157438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.