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Paper Citation Record · LEDGER

An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2504.18433.

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

pith.paper-citation-record.v1
2504.18433 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:33:37.760163Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:59:19.948343Z

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 c87b6c2a-04bd-4712-a3df-14470c84fc04 · inbound

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? cites this paper.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:37.760163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:37.760163Z digest=sha256:49340f289aafd3478c186d1b294addc133602ca1fde0ae1a35787e192febbe1d

Observation 3ddc2648-7e67-434a-aaf4-597c3d0a70ff · inbound

Aleatoric and Epistemic Uncertainty Measures for Ordinal Classification through Binary Reduction cites this paper.

Aleatoric and Epistemic Uncertainty Measures for Ordinal Classification through Binary Reduction An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T21:15:36.806003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:15:36.806003Z digest=sha256:bf4d3298d1674f2cde15185f6a76090b96290c3ebc85e5bdcad4d489ca46d1f8

Observation b8bcb0d2-3875-4e72-be14-caaf3532ec67 · inbound

Uncertainty Quantification for Regression: A Unified Framework based on kernel scores cites this paper.

Uncertainty Quantification for Regression: A Unified Framework based on kernel scores An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-04T07:38:47.741286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:38:47.741286Z digest=sha256:39886b904ac92d3b8aba37cbbd0606db553865c607b522c96977f111816ebf73

Observation c0f11c91-de1f-4468-8fd9-d76ca1f0c013 · inbound

On the QUEST for Uncertainty Quantification via Highest Density Regions cites this paper.

On the QUEST for Uncertainty Quantification via Highest Density Regions An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-07T01:15:54.224892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T20:50:20.633948Z digest=sha256:b253bb37e54520596193e809deb2c54985c35ffd4cc15ae21bf60a34d86fc22b

Observation 42162445-8a3e-4337-a381-3af926d381ac · inbound

Subjective Risk Decomposition: A New View for Uncertainty Quantification cites this paper.

Subjective Risk Decomposition: A New View for Uncertainty Quantification An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-01T23:59:39.929496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:59:39.929496Z digest=sha256:ca0cefe3fe7479374e1bdc757812a0d162d8c653471f8d97e36632e7e47fde7d

Observation 1191d695-0b58-4762-91bb-82171e5f384d · inbound

Mobile Network Control with a World Model cites this paper.

Mobile Network Control with a World Model An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-01T17:08:45.548898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:08:45.548898Z digest=sha256:10a4a83cd0250188b80681538e32ceeb8157c490e1421ca3b145391295b9d9a9