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Paper Citation Record · LEDGER

Second-Order Uncertainty Quantification: A Distance-Based Approach

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2312.00995.

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

pith.paper-citation-record.v1
2312.00995 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:12:52.428704Z

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 517c949f-8049-4c85-b5a9-196c99007d44 · inbound

Uncertainty Quantification with Proper Scoring Rules: Adjusting Measures to Prediction Tasks cites this paper.

Uncertainty Quantification with Proper Scoring Rules: Adjusting Measures to Prediction Tasks Second-Order Uncertainty Quantification: A Distance-Based Approach

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T13:12:52.428704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:12:52.428704Z digest=sha256:7f42e79986f0749240c4bec836ee31597409e0a8540ab77d4f0b981feb1a8146

Observation aba5fe5a-375e-4dd3-ae20-d5a82dc4be95 · 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 Second-Order Uncertainty Quantification: A Distance-Based Approach

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-04T07:38:53.346477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:38:53.346477Z digest=sha256:39635b53b5f803d8ed9c58952437947bd9a585f92c6a1a81927f3246aa7a6022

Observation 4c003de9-3473-42e4-9564-bf4737262a52 · inbound

Quantification of Credal Uncertainty: A Distance-Based Approach cites this paper.

Quantification of Credal Uncertainty: A Distance-Based Approach Second-Order Uncertainty Quantification: A Distance-Based Approach

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-15T11:46:17.889059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T11:46:17.889059Z digest=sha256:d0c57f8e98458de30110c0789f9c062c620bb8a9349821d5aacdafb4c050d616

Observation 42e8f996-a8fc-4ba1-a6f8-755dfe8036c5 · inbound

The Minimax Rate of Second-Order Calibration cites this paper.

The Minimax Rate of Second-Order Calibration Second-Order Uncertainty Quantification: A Distance-Based Approach

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:50:57.736004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-11T02:11:02.388086Z digest=sha256:2c99347cb167b82ab57fd58b0ec07c9a2a0eeb711735b0f4e12e684061e054f1

Observation 26dcf48c-1dab-4020-a426-79929a7e50f4 · inbound

A Distributionally Robust Framework for Learned Reconstructions in Inverse Problems cites this paper.

A Distributionally Robust Framework for Learned Reconstructions in Inverse Problems Second-Order Uncertainty Quantification: A Distance-Based Approach

Reference 116

Resolution
verified exact
arxiv_id, observed 2026-06-30T05:34:19.519753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-30T05:25:44.696924Z digest=sha256:316b1ee2476c9106ef471812094144303bb7836f7346ed434a70d0c5bf0144da