Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Distractor generation for multiple-choice questions with predictive prompting and large language models
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2307.16338.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:12:01.873020Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T05:56:11.268275Z
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 7f1f240b-5c00-44f5-9344-224c305dc49a · inbound
D-GEN: Automatic Distractor Generation and Evaluation for Reliable Assessment of Generative Model cites this paper.
D-GEN: Automatic Distractor Generation and Evaluation for Reliable Assessment of Generative Model Distractor generation for multiple-choice questions with predictive prompting and large language models
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:12:01.873020Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb00ef13-f91c-4a82-ac67-dd4dde68a7a1 · inbound
Benchmarking the Pedagogical Knowledge of Large Language Models cites this paper.
Benchmarking the Pedagogical Knowledge of Large Language Models Distractor generation for multiple-choice questions with predictive prompting and large language models
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:20:17.679991Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation deacdf92-e768-4360-8829-d678a424c3c4 · inbound
Beyond Fine-Tuning: In-Context Learning and Chain-of-Thought for Reasoned Distractor Generation cites this paper.
Beyond Fine-Tuning: In-Context Learning and Chain-of-Thought for Reasoned Distractor Generation Distractor generation for multiple-choice questions with predictive prompting and large language models
Reference 116
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T05:56:11.269528Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.