Paper Citation Record · LEDGER

Chainpoll: A high efficacy method for LLM hallucination detection

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2310.18344.

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

pith.paper-citation-record.v1
2310.18344 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:40:04.394614Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-13T02:46:27.543592Z

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 19e863e2-2d2d-4994-9300-578d6901783c · inbound

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions cites this paper.

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions Chainpoll: A high efficacy method for LLM hallucination detection

Reference 93

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:46:27.546134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6495ba8b-eac3-41c9-9f2c-e8f444fae62a · inbound

Challenges in Guardrailing Large Language Models for Science cites this paper.

Challenges in Guardrailing Large Language Models for Science Chainpoll: A high efficacy method for LLM hallucination detection

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T21:54:44.037719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1cd3e94-361c-4636-b11a-ff8834b3bc2a · inbound

ReXTrust: A Model for Fine-Grained Hallucination Detection in AI-Generated Radiology Reports cites this paper.

ReXTrust: A Model for Fine-Grained Hallucination Detection in AI-Generated Radiology Reports Chainpoll: A high efficacy method for LLM hallucination detection

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T14:06:03.473260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf05c42b-adbf-4c5b-8b5b-41a664e0de17 · inbound

The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States cites this paper.

The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States Chainpoll: A high efficacy method for LLM hallucination detection

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T05:53:12.941638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 630e8550-171a-433a-8a60-7f8984721d75 · inbound

Transparent NLP: Using RAG and LLM Alignment for Privacy Q&A cites this paper.

Transparent NLP: Using RAG and LLM Alignment for Privacy Q&A Chainpoll: A high efficacy method for LLM hallucination detection

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T14:50:24.319544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed21c1a4-d496-4b12-b2fc-6476f6ad68a5 · inbound

"Explain, Don't Just Warn!" -- A Real-Time Framework for Generating Phishing Warnings with Contextual Cues cites this paper.

"Explain, Don't Just Warn!" -- A Real-Time Framework for Generating Phishing Warnings with Contextual Cues Chainpoll: A high efficacy method for LLM hallucination detection

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T22:37:09.706548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5982065e-aeea-4bbc-85b2-d3b902d91787 · inbound

Harmonia: End-to-End RAG Serving Optimization cites this paper.

Harmonia: End-to-End RAG Serving Optimization Chainpoll: A high efficacy method for LLM hallucination detection

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T04:40:04.394614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47343603-6e7c-4849-bdb4-ba41fed1d6a6 · inbound

Detection and Mitigation of Hallucination in Large Reasoning Models: A Mechanistic Perspective cites this paper.

Detection and Mitigation of Hallucination in Large Reasoning Models: A Mechanistic Perspective Chainpoll: A high efficacy method for LLM hallucination detection

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T20:28:18.970954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 899a92dc-d6d8-43f3-9cf3-ecfca2d1d066 · inbound

Teaching Audio-Aware Large Language Models What Does Not Hear: Mitigating Hallucinations through Synthesized Negative Samples cites this paper.

Teaching Audio-Aware Large Language Models What Does Not Hear: Mitigating Hallucinations through Synthesized Negative Samples Chainpoll: A high efficacy method for LLM hallucination detection

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T15:36:05.194841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32b43ff9-4957-47af-9b3f-5e4dad2789e7 · inbound

KEA Explain: Explanations of Hallucinations using Graph Kernel Analysis cites this paper.

KEA Explain: Explanations of Hallucinations using Graph Kernel Analysis Chainpoll: A high efficacy method for LLM hallucination detection

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-06T20:09:20.408595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ae3a80a-4ac6-4f8d-8820-f1d83c47f1e0 · inbound

Not All Needles Are Found: How Fact Distribution and Don't Make It Up Prompts Shape Retrieval, Reasoning, and Hallucination in Long-Context LLMs cites this paper.

Not All Needles Are Found: How Fact Distribution and Don't Make It Up Prompts Shape Retrieval, Reasoning, and Hallucination in Long-Context LLMs Chainpoll: A high efficacy method for LLM hallucination detection

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-03T12:42:33.768951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac61daf9-e3b4-43af-8130-07a833ff3edf · inbound

Hallucination as an Anomaly: Dynamic Intervention via Probabilistic Circuits cites this paper.

Hallucination as an Anomaly: Dynamic Intervention via Probabilistic Circuits Chainpoll: A high efficacy method for LLM hallucination detection

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:51:11.324693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6b34c4ef-48be-4859-bab4-e015bc65ebb2 · inbound

Using Semantic Distance to Estimate Uncertainty in LLM-Based Code Generation cites this paper.

Using Semantic Distance to Estimate Uncertainty in LLM-Based Code Generation Chainpoll: A high efficacy method for LLM hallucination detection

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:11:15.959621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5aed4956-ab66-48d4-8600-f7c137b87db9 · inbound

Decomposed Entailment for Factuality Checking and Hallucination Detection cites this paper.

Decomposed Entailment for Factuality Checking and Hallucination Detection Chainpoll: A high efficacy method for LLM hallucination detection

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T22:53:05.324808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.