Paper Citation Record · LEDGER

On Subjective Uncertainty Quantification and Calibration in Natural Language Generation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2406.05213.

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

pith.paper-citation-record.v1
2406.05213 v2

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 2026-08-07T05:41:36.438552Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T18:08:46.925070Z

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 222f61ac-c543-4893-926e-309007b96865 · inbound

Extending Epistemic Uncertainty Beyond Parameters Would Assist in Designing Reliable LLMs cites this paper.

Extending Epistemic Uncertainty Beyond Parameters Would Assist in Designing Reliable LLMs On Subjective Uncertainty Quantification and Calibration in Natural Language Generation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:36.438552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4626bf7d-b2aa-48d6-ae42-45bc1ec3761c · inbound

Textual Bayes: Quantifying Prompt Uncertainty in LLM-Based Systems cites this paper.

Textual Bayes: Quantifying Prompt Uncertainty in LLM-Based Systems On Subjective Uncertainty Quantification and Calibration in Natural Language Generation

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:22:15.962131Z

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.

Observation ca06e871-5ad2-46ad-9099-9654e11fb375 · inbound

Confident in a Confidence Score: Investigating the Sensitivity of Confidence Scores to Supervised Fine-Tuning cites this paper.

Confident in a Confidence Score: Investigating the Sensitivity of Confidence Scores to Supervised Fine-Tuning On Subjective Uncertainty Quantification and Calibration in Natural Language Generation

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:25:58.705006Z

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.

Observation e1e66ba7-1b23-4a51-99b2-4cd62f8e7149 · inbound

Trustworthy deep domain adaptation for wearable photoplethysmography signal analysis with decision-theoretic uncertainty quantification cites this paper.

Trustworthy deep domain adaptation for wearable photoplethysmography signal analysis with decision-theoretic uncertainty quantification On Subjective Uncertainty Quantification and Calibration in Natural Language Generation

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:01:49.245519Z

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.

Observation ad9f6688-fd73-4ec6-b7ff-00aa597a2332 · inbound

Concentration and Calibration in Predictive Bayesian Inference cites this paper.

Concentration and Calibration in Predictive Bayesian Inference On Subjective Uncertainty Quantification and Calibration in Natural Language Generation

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:36:08.361871Z

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.

Observation 012e3312-82a7-4c2a-bc55-62f3f88f619f · inbound

Speaking in Self-Assessing Tongues: On the Verbalized Confidence of LLMs in Machine Translation cites this paper.

Speaking in Self-Assessing Tongues: On the Verbalized Confidence of LLMs in Machine Translation On Subjective Uncertainty Quantification and Calibration in Natural Language Generation

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-03T18:08:46.926614Z

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.