Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Chainpoll: A high efficacy method for LLM hallucination detection
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2310.18344.
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 2026-08-07T22:53:05.324808Z
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 2026-08-08T06:32:00.761636+00:00.
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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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.