Paper Citation Record · LEDGER

A Survey of Calibration Process for Black-Box LLMs

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2412.12767.

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

pith.paper-citation-record.v1
2412.12767 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 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:07:50.703898Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:39:30.629875Z

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 9b275fda-3be1-4b5d-9c6c-a4a8f2794bfa · inbound

Maximizing Confidence Alone Improves Reasoning cites this paper.

Maximizing Confidence Alone Improves Reasoning A Survey of Calibration Process for Black-Box LLMs

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T13:07:50.703898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f2b8bbc-d76e-4bfe-9f49-2352929d9909 · inbound

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings cites this paper.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings A Survey of Calibration Process for Black-Box LLMs

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-06T22:50:01.001810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3664f820-0d29-43c4-8012-1c2c4b106734 · inbound

A Systematic Evaluation of Black-Box Uncertainty Estimation Methods for Large Language Models cites this paper.

A Systematic Evaluation of Black-Box Uncertainty Estimation Methods for Large Language Models A Survey of Calibration Process for Black-Box LLMs

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:39:30.631972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ea20bbbc-c0f3-4d6d-9b09-4d913f21f0f0 · inbound

Can You Trust the Confidence? ConfBench for Vision-Language Models on Document Extraction cites this paper.

Can You Trust the Confidence? ConfBench for Vision-Language Models on Document Extraction A Survey of Calibration Process for Black-Box LLMs

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T20:42:51.961770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.