Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Hallucination Detection in LLMs: Fast and Memory-Efficient Fine-Tuned Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.02976.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:06:31.972141Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 7ca760b9-ce92-4066-84e9-27a2b8c60474 · inbound
Grammars of Formal Uncertainty: When to Trust LLMs in Automated Reasoning Tasks cites this paper.
Grammars of Formal Uncertainty: When to Trust LLMs in Automated Reasoning Tasks Hallucination Detection in LLMs: Fast and Memory-Efficient Fine-Tuned Models
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:06:31.972141Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1b415eb8-5216-448b-8c77-d5f9725338dd · inbound
ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors cites this paper.
ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Hallucination Detection in LLMs: Fast and Memory-Efficient Fine-Tuned Models
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T23:01:43.524922Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7fb53fd2-383c-409b-af5c-c1b78695311c · inbound
REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations cites this paper.
REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations Hallucination Detection in LLMs: Fast and Memory-Efficient Fine-Tuned Models
Reference 89
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T20:17:56.384639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.