Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Uncertainty-Aware Fusion: An Ensemble Framework for Mitigating Hallucinations in Large Language Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2503.05757.
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 2026-08-06T18:52:21.831035Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T06:31:30.615083Z
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 575f07fc-31a8-4e0a-8c34-0656f2e25761 · inbound
Simple Yet Effective: An Information-Theoretic Approach to Multi-LLM Uncertainty Quantification cites this paper.
Simple Yet Effective: An Information-Theoretic Approach to Multi-LLM Uncertainty Quantification Uncertainty-Aware Fusion: An Ensemble Framework for Mitigating Hallucinations in Large Language Models
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:52:21.831035Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7d05e297-fdfc-4f79-8a9a-9b8b0276a5e0 · inbound
Enhancing Factual Accuracy and Citation Generation in LLMs via Multi-Stage Self-Verification cites this paper.
Enhancing Factual Accuracy and Citation Generation in LLMs via Multi-Stage Self-Verification Uncertainty-Aware Fusion: An Ensemble Framework for Mitigating Hallucinations in Large Language Models
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T05:07:43.210171Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 73459453-e9f8-42f7-97bc-9043c29a5319 · inbound
Complementing Self-Consistency with Cross-Model Disagreement for Uncertainty Quantification cites this paper.
Complementing Self-Consistency with Cross-Model Disagreement for Uncertainty Quantification Uncertainty-Aware Fusion: An Ensemble Framework for Mitigating Hallucinations in Large Language Models
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T06:31:30.616665Z
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 480115d9-467e-4f0b-9d40-29f3dd596766 · inbound
Opti-Q: A Constraint-Based Optimization Framework for Multi-LLM Question Planning cites this paper.
Opti-Q: A Constraint-Based Optimization Framework for Multi-LLM Question Planning Uncertainty-Aware Fusion: An Ensemble Framework for Mitigating Hallucinations in Large Language Models
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T11:01:29.339897Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.