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Paper Citation Record · LEDGER

Trusted Artificial Intelligence: Towards Certification of Machine Learning Applications

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2103.16910.

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

pith.paper-citation-record.v1
2103.16910 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:09:20.798033Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T22:55:28.709609Z

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 5cb64a38-490d-40ba-9da0-98be6e04f528 · inbound

Establishing and Evaluating Trustworthy AI: Overview and Research Challenges cites this paper.

Establishing and Evaluating Trustworthy AI: Overview and Research Challenges Trusted Artificial Intelligence: Towards Certification of Machine Learning Applications

Reference 197

Resolution
unresolved
no resolver link, observed 2026-08-12T20:09:20.798033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:09:20.798033Z digest=sha256:8fffed579e2457ec76c7fa50afb2ce66d387487efd942103a26adff1b481dccc

Observation 12f21512-010d-45ce-8772-95f82b1ddd19 · inbound

Practical Application and Limitations of AI Certification Catalogues in the Light of the AI Act cites this paper.

Practical Application and Limitations of AI Certification Catalogues in the Light of the AI Act Trusted Artificial Intelligence: Towards Certification of Machine Learning Applications

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T18:10:22.581709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:10:22.581709Z digest=sha256:3d1a4b193c7fc0254477d61b16cfff84b84c99cb10683c966aef45a832f2db65

Observation 231dcc8f-ab26-47d5-aafc-e4e62ccbb555 · inbound

Safe and Certifiable AI Systems: Concepts, Challenges, and Lessons Learned cites this paper.

Safe and Certifiable AI Systems: Concepts, Challenges, and Lessons Learned Trusted Artificial Intelligence: Towards Certification of Machine Learning Applications

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-08-04T22:55:28.716283Z

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=2026-08-04T22:55:28.605432Z digest=sha256:37e3e7741054b0d0831791af83f8f39936e23e5ec7608317705bb40d0bb94041

Observation 1d00a94d-ed3b-47d4-af58-72ffe3c379af · inbound

From Skill Extraction to Multistakeholder Recommendation: A Two-Stage Framework for Bias Governance in Skills-Based Job Matching cites this paper.

From Skill Extraction to Multistakeholder Recommendation: A Two-Stage Framework for Bias Governance in Skills-Based Job Matching Trusted Artificial Intelligence: Towards Certification of Machine Learning Applications

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-01T22:34:51.602909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:34:51.602909Z digest=sha256:bcbdb0eff44df024c984912815809b8fa06db4695763996e3209cb11e3425fef