Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Enhancing Distractor Generation for Multiple-Choice Questions with Retrieval Augmented Pretraining and Knowledge Graph Integration
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.13578.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T16:47:09.469941Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T05:51:10.662874Z
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 fad49b37-1cc7-49d7-803f-c76531e4457c · inbound
LLM Distillation for Efficient Few-Shot Multiple Choice Question Answering cites this paper.
LLM Distillation for Efficient Few-Shot Multiple Choice Question Answering Enhancing Distractor Generation for Multiple-Choice Questions with Retrieval Augmented Pretraining and Knowledge Graph Integration
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:47:09.469941Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d49e23ef-2710-4a15-949f-88f562862ca5 · inbound
Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model Evaluation cites this paper.
Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model Evaluation Enhancing Distractor Generation for Multiple-Choice Questions with Retrieval Augmented Pretraining and Knowledge Graph Integration
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:14.355315Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e90d71aa-78de-425c-812e-ddf51f14330d · inbound
EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval cites this paper.
EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval Enhancing Distractor Generation for Multiple-Choice Questions with Retrieval Augmented Pretraining and Knowledge Graph Integration
Reference 175
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T05:51:10.664098Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.