Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.04121.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T22:31:18.338232Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T02:52:26.387526Z
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 9a2c84b4-91b4-491c-b6e5-68861d449ca7 · inbound
Linear Correlation in LM's Compositional Generalization and Hallucination cites this paper.
Linear Correlation in LM's Compositional Generalization and Hallucination Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T22:31:18.338232Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd51c376-962e-4cd8-8077-126007bfcd5d · inbound
Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language Models cites this paper.
Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language Models Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T02:52:26.389425Z
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 5b841f33-2b46-43ff-baa5-597bc1cdbc6b · inbound
Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models cites this paper.
Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models
Reference 166
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:19:07.428956Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.