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Paper Citation Record · LEDGER

Label-wise Aleatoric and Epistemic Uncertainty Quantification

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.02354.

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

pith.paper-citation-record.v1
2406.02354 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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:24:20.436517Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T22:55:28.817690Z

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 366e58e1-3482-4a02-8d09-2a148bae483d · inbound

An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression cites this paper.

An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression Label-wise Aleatoric and Epistemic Uncertainty Quantification

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-16T10:24:20.436517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:24:20.436517Z digest=sha256:b5126b28e101b6632aa53ab1d4b3d463259aa139d65c8ac0c37b1218643213c6

Observation 6d150ddc-182b-4a05-aead-7b28c00c3dd0 · inbound

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

Safe and Certifiable AI Systems: Concepts, Challenges, and Lessons Learned Label-wise Aleatoric and Epistemic Uncertainty Quantification

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-08-04T22:55:28.822918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T22:55:28.566659Z digest=sha256:cad2627670ffb8ef635b544b1dc7a70f322bb367b73a9086468ae1d69bdcb898