Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Mitigating Hallucinations in Large Language Models via Self-Refinement-Enhanced Knowledge Retrieval
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.06545.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-23T04:30:38.804702Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T04:32:33.177259Z
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 56b9f4e9-8ec5-4e9d-9ca3-f6cb597d8262 · inbound
Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning cites this paper.
Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning Mitigating Hallucinations in Large Language Models via Self-Refinement-Enhanced Knowledge Retrieval
Reference 140
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T04:32:33.181175Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7d19ebe7-2256-44b8-9242-7f9d2919fef1 · inbound
Query Expansion in the Age of Pre-trained and Large Language Models: A Comprehensive Survey cites this paper.
Query Expansion in the Age of Pre-trained and Large Language Models: A Comprehensive Survey Mitigating Hallucinations in Large Language Models via Self-Refinement-Enhanced Knowledge Retrieval
Reference 80
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T18:11:43.044252Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3daf7abc-d528-4974-817d-c349b0e13469 · inbound
Position: How can Graphs Help Large Language Models? cites this paper.
Position: How can Graphs Help Large Language Models? Mitigating Hallucinations in Large Language Models via Self-Refinement-Enhanced Knowledge Retrieval
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T06:10:42.906569Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.