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Paper Citation Record · LEDGER

The Dilemma of Uncertainty Estimation for General Purpose AI in the EU AI Act

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.11249.

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

pith.paper-citation-record.v1
2408.11249 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:38:27.057398Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 089171da-e274-4b6e-b388-563faab853ed · inbound

From Calibration to Collaboration: LLM Uncertainty Quantification Should Be More Human-Centered cites this paper.

From Calibration to Collaboration: LLM Uncertainty Quantification Should Be More Human-Centered The Dilemma of Uncertainty Estimation for General Purpose AI in the EU AI Act

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T05:38:27.057398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:27.057398Z digest=sha256:bac42bfceb4b5492f54ad8b629488c66bef50fab7bb695110c77b3ee250cb199

Observation 5526f514-d2c4-4783-9f0c-d776b21f7414 · inbound

Sampling Parallelism for Fast and Efficient Bayesian Learning cites this paper.

Sampling Parallelism for Fast and Efficient Bayesian Learning The Dilemma of Uncertainty Estimation for General Purpose AI in the EU AI Act

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-10T18:50:44.391976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T18:48:24.778806Z digest=sha256:b46f74ee141982adf71972584b6ad188b0eccbc33ca37b9cd81dae03705ac3be