Paper Citation Record · LEDGER

Hallucination Detection in LLMs: Fast and Memory-Efficient Fine-Tuned Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2409.02976.

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

pith.paper-citation-record.v1
2409.02976 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 2026-08-22T06:32:14.747728+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:31:36.747097Z

measured 1 of 1 external citation measurements

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 a438c9cd-e55d-426b-b866-61b0be98ada4 · inbound

DHCP: Detecting Hallucinations by Cross-modal Attention Pattern in Large Vision-Language Models cites this paper.

DHCP: Detecting Hallucinations by Cross-modal Attention Pattern in Large Vision-Language Models Hallucination Detection in LLMs: Fast and Memory-Efficient Fine-Tuned Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T11:31:36.747097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae5b83a1-0ee7-4110-b897-af04610e8818 · 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 Hallucination Detection in LLMs: Fast and Memory-Efficient Fine-Tuned Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T20:37:54.583028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab75da89-c469-4dfa-88fe-bf76c2487547 · inbound

HARP: Hesitation-Aware Reframing in Transformer Inference Pass cites this paper.

HARP: Hesitation-Aware Reframing in Transformer Inference Pass Hallucination Detection in LLMs: Fast and Memory-Efficient Fine-Tuned Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T19:01:49.591848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-22T06:32:14.747728+00:00.