Paper Citation Record · LEDGER

Detecting Hallucinations in Large Language Model Generation: A Token Probability Approach

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2405.19648.

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

pith.paper-citation-record.v1
2405.19648 v1

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 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:34:33.685570Z

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

2
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 0bf08dfa-e27a-450f-a48a-f511d3f98adb · inbound

From Hallucinations to Jailbreaks: Rethinking the Vulnerability of Large Foundation Models cites this paper.

From Hallucinations to Jailbreaks: Rethinking the Vulnerability of Large Foundation Models Detecting Hallucinations in Large Language Model Generation: A Token Probability Approach

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T12:34:33.685570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9837d882-0bfd-4094-8aeb-388eabd19ffe · inbound

Towards Mitigation of Hallucination for LLM-empowered Agents: Progressive Generalization Bound Exploration and Watchdog Monitor cites this paper.

Towards Mitigation of Hallucination for LLM-empowered Agents: Progressive Generalization Bound Exploration and Watchdog Monitor Detecting Hallucinations in Large Language Model Generation: A Token Probability Approach

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T15:37:52.899974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b77d61e-0373-415a-982f-1e2e45e0b193 · inbound

Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling cites this paper.

Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Detecting Hallucinations in Large Language Model Generation: A Token Probability Approach

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T02:22:16.592768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65c4aab6-cb9c-403b-82e9-201fc9c2021d · inbound

PARALLAX: Separating Genuine Hallucination Detection from Benchmark Construction Artifacts cites this paper.

PARALLAX: Separating Genuine Hallucination Detection from Benchmark Construction Artifacts Detecting Hallucinations in Large Language Model Generation: A Token Probability Approach

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:12:44.934989Z

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.

Observation b6d0b208-dab6-4dd7-88f4-2b2e4e374814 · inbound

Grad Detect: Gradient-Based Hallucination Detection in LLMs cites this paper.

Grad Detect: Gradient-Based Hallucination Detection in LLMs Detecting Hallucinations in Large Language Model Generation: A Token Probability Approach

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-06-26T00:08:43.219065Z

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.

Observation 0425ccee-4c23-40cd-a412-ee7bc926c6c9 · inbound

What Intermediate Layers Know: Detecting Jailbreaks from Entropy Dynamics cites this paper.

What Intermediate Layers Know: Detecting Jailbreaks from Entropy Dynamics Detecting Hallucinations in Large Language Model Generation: A Token Probability Approach

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:40:00.974271Z

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.