Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
On Subjective Uncertainty Quantification and Calibration in Natural Language Generation
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.05213.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-27T03:16:19.173230Z
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 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 2026-08-04T06:34:03.388597+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 2026-08-04T06:34:03.388597+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 2026-08-04T06:34:03.388597+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 2026-08-04T06:34:03.388597+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 2026-08-04T06:34:03.388597+00:00.