Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CLUE: Concept-Level Uncertainty Estimation for Large Language Models
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2409.03021.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T20:37:55.172373Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-11T03:07:50.779737Z
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 2620ec6b-716e-4df9-ae5b-bf49735031e5 · inbound
A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions cites this paper.
A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions CLUE: Concept-Level Uncertainty Estimation for Large Language Models
Reference 218
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:37:55.172373Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 77321195-86b6-482b-be87-f12e1d8d4271 · inbound
Survey of GenAI for Automotive Software Development: From Requirements to Executable Code cites this paper.
Survey of GenAI for Automotive Software Development: From Requirements to Executable Code CLUE: Concept-Level Uncertainty Estimation for Large Language Models
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:48:47.673570Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed44fec0-18a1-4e37-9541-a798d4d5d25b · 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 CLUE: Concept-Level Uncertainty Estimation for Large Language Models
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T06:25:58.824440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation cd28d088-8484-4f6c-a23f-707c9bb2a3d6 · inbound
Evaluating LLM Uncertainty in Long-Form Generation Using Deterministic Ground Truth cites this paper.
Evaluating LLM Uncertainty in Long-Form Generation Using Deterministic Ground Truth CLUE: Concept-Level Uncertainty Estimation for Large Language Models
Reference 15
- Resolution
- malformed identifier
- no resolver link, observed 2026-07-11T23:22:51.685423Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 022a8372-ced2-41f7-87f5-1f19cbed8443 · inbound
SpanUQ: Span-Level Uncertainty Quantification for Large Language Model Generation cites this paper.
SpanUQ: Span-Level Uncertainty Quantification for Large Language Model Generation CLUE: Concept-Level Uncertainty Estimation for Large Language Models
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-07-11T03:07:50.808761Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.