Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:37:17.847179Z
Paper Citation Record · LEDGER
Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights
As of 20 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2506.04851.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
27 of 27 outbound references displayed
- verified exact0
- verified fuzzy25
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 7fba996f-747a-4c76-ad13-ad533977ab0f · outbound
This paper cites A taxonomy for learning, teaching, and assessing: A revision of bloom's taxonomy of educational objectives: complete edition, 2001.
Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights A taxonomy for learning, teaching, and assessing: A revision of bloom's taxonomy of educational objectives: complete edition, 2001
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:37:18.139920Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4d738ce9-7f09-4fb3-a724-acd1da17afc7 · outbound
This paper cites Generating questions and multiple-choice answers using semantic analysis of texts.
Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights Generating questions and multiple-choice answers using semantic analysis of texts
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:37:18.130120Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f4d36a73-89ac-48fb-984c-b592812a60ae · outbound
This paper cites Personality-based recommendation in e-commerce.
Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights Personality-based recommendation in e-commerce
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:37:18.120708Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation cca9c41b-24ec-44b0-b5f9-378b21bb85d9 · outbound
This paper cites Scalable educational question generation with pre-trained language models.
Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights Scalable educational question generation with pre-trained language models
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:37:18.111659Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6a36b44b-dcfd-4c32-8a4c-b6c233162a85 · outbound
This paper cites Toward personalized xai: A case study in intelligent tutoring systems.
Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights Toward personalized xai: A case study in intelligent tutoring systems
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:37:18.101838Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 88288ca8-8fdd-4648-966a-4180345d1de9 · outbound
This paper cites A preliminary inquiry into using corpus word frequency data in the automatic generation of english language cloze tests.
Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights A preliminary inquiry into using corpus word frequency data in the automatic generation of english language cloze tests
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:37:18.092020Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4ceedd62-4217-46fd-b054-16c120a41b21 · outbound
This paper cites Automatic multiple choice question generation from text: A survey.
Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights Automatic multiple choice question generation from text: A survey
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:37:18.081729Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 08dc2506-2dc0-4897-bb53-e654b51ecd79 · outbound
This paper cites A social cultural recommender based on linked open data.
Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights A social cultural recommender based on linked open data
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:37:18.072535Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a30c82c8-5958-4601-b729-b813aea161cd · outbound
This paper cites an unresolved cited work.
Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights Unresolved cited work
Reference 9
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T10:37:18.062585Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8f98dd1f-e698-4edd-8890-b343247e08f4 · outbound
This paper cites The meta4rs proposal: Museum emotion and tracking analysis for recommender systems.
Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights The meta4rs proposal: Museum emotion and tracking analysis for recommender systems
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:37:18.051643Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9f7343cd-664e-4123-8f52-8c740ad6462c · outbound
This paper cites Using deep learning for collecting data about museum visitor behavior.
Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights Using deep learning for collecting data about museum visitor behavior
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:37:18.041736Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2f0e9eac-c2db-466e-8206-0b8f47bf33f7 · outbound
This paper cites Optimising moodle quizzes for online assessments.
Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights Optimising moodle quizzes for online assessments
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:37:18.031005Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e285bba4-7f01-49d3-a181-6eb659729290 · outbound
This paper cites Shaping the future of education: exploring the potential and consequences of ai and chatgpt in educational settings.
Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights Shaping the future of education: exploring the potential and consequences of ai and chatgpt in educational settings
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:37:18.021042Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation bec0761e-7b73-486f-ba8b-05bc4b6ed581 · outbound
This paper cites A novel approach to generate distractors for multiple choice questions.
Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights A novel approach to generate distractors for multiple choice questions
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:37:18.011618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 04321597-b416-497c-a230-a95ec6fa73b1 · outbound
This paper cites u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt \.
Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt \
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:37:17.547723Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4ae826dc-d4b9-49d6-b300-626dd0cc08dc · outbound
This paper cites Multiple choice question generation using bert xl net, 2023.
Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights Multiple choice question generation using bert xl net, 2023
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:37:17.994985Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2ae01011-cfd7-4247-9a62-6be33778888c · outbound
This paper cites Automatic computer science domain multiple-choice questions generation based on informative sentences.
Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights Automatic computer science domain multiple-choice questions generation based on informative sentences
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:37:17.984366Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 300f5585-f63b-4ab6-9a15-83b7963a76fb · outbound
This paper cites A computer-aided environment for generating multiple-choice test items.
Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights A computer-aided environment for generating multiple-choice test items
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:37:17.974963Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 27e663a9-35d8-48fc-8b61-ba691ffae718 · outbound
This paper cites Knowledge injection to counter large language model (llm) hallucination.
Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights Knowledge injection to counter large language model (llm) hallucination
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:37:17.964890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6c61b4b0-f70b-42e6-8955-69cf0bdf4aa8 · outbound
This paper cites A system for generating multiple choice questions: With a novel approach for sentence selection.
Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights A system for generating multiple choice questions: With a novel approach for sentence selection
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:37:17.952029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b71fe7f2-590c-43f8-89c5-71a2f2fe6b56 · outbound
This paper cites Evalquiz – llm-based automated generation of self-assessment quizzes in software engineering education.
Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights Evalquiz – llm-based automated generation of self-assessment quizzes in software engineering education
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:37:17.942872Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 189b938b-4833-4095-86be-c3f44547c3a4 · outbound
This paper cites Leveraging large language models for multiple choice question answering, 2022.
Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights Leveraging large language models for multiple choice question answering, 2022
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:37:17.932887Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation bb93de38-6043-4ee3-9cfc-e64f56bf0c0d · outbound
This paper cites Cross-domain recommendation for enhancing cultural heritage experience.
Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights Cross-domain recommendation for enhancing cultural heritage experience
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:37:17.922124Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3999d742-b7f0-42a4-ac1b-094fc3b85113 · outbound
This paper cites Harnessing multi-role capabilities of large language models for open-domain question answering.
Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights Harnessing multi-role capabilities of large language models for open-domain question answering
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:37:17.911882Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f41510f0-7249-447f-a269-0f6ab14192db · outbound
This paper cites Chatgpt: Challenges, opportunities, and implications for teacher education.
Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights Chatgpt: Challenges, opportunities, and implications for teacher education
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:37:17.901204Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9fc2bc22-540c-4227-9337-d6cba3aec568 · outbound
This paper cites Siren's song in the ai ocean: A survey on hallucination in large language models, 2023.
Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights Siren's song in the ai ocean: A survey on hallucination in large language models, 2023
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:37:17.891192Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6f38b596-ffc5-42d9-8152-717a7f16de2f · outbound
This paper cites Why johnny can’t prompt: how non-ai experts try (and fail) to design llm prompts.
Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights Why johnny can’t prompt: how non-ai experts try (and fail) to design llm prompts
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:37:17.880062Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Pith citing papers
No inbound Pith citation observations are available.