Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
InterrogateLLM: Zero-Resource Hallucination Detection in LLM-Generated Answers
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2403.02889.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:18:57.021763Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T00:48:48.074021Z
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 0bad0e04-9b94-47ba-bee5-f8d7a840385f · inbound
SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion cites this paper.
SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion InterrogateLLM: Zero-Resource Hallucination Detection in LLM-Generated Answers
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:18:57.021763Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8f1bc7fe-9c5f-485a-a9a8-4547d9e43b91 · inbound
Towards Building General Purpose Embedding Models for Industry 4.0 Agents cites this paper.
Towards Building General Purpose Embedding Models for Industry 4.0 Agents InterrogateLLM: Zero-Resource Hallucination Detection in LLM-Generated Answers
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T00:48:48.174733Z
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.
Observation fb68b6f6-33e3-4286-976a-35847502be34 · 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 InterrogateLLM: Zero-Resource Hallucination Detection in LLM-Generated Answers
Reference 81
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T12:42:38.096256Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.