Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T04:51:04.010826Z
Paper Citation Record · LEDGER
Generating AI Literacy MCQs: A Multi-Agent LLM Approach
As of 22 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 1 inbound Pith citation observation for arXiv:2412.00970.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-13T11:58:11.319217Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
14 of 14 outbound references displayed
- verified exact0
- verified fuzzy6
- unresolved8
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation 79574029-a207-4371-908e-b3692f5c7ade · outbound
This paper cites Anderson and David R.
Generating AI Literacy MCQs: A Multi-Agent LLM Approach Anderson and David R
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:51:04.120779Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ca9bb428-2381-4543-908b-8d7f698a2aa9 · outbound
This paper cites On the application of Large Language Models for language teaching and assessment technology.
Generating AI Literacy MCQs: A Multi-Agent LLM Approach On the application of Large Language Models for language teaching and assessment technology
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:51:03.979111Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 88b9bd0d-b156-4e79-a0fe-d7cf616f03cd · outbound
This paper cites an unresolved cited work.
Generating AI Literacy MCQs: A Multi-Agent LLM Approach Unresolved cited work
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:51:03.982430Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ad01710b-9b1c-4d06-b567-ed2736f83a92 · outbound
This paper cites an unresolved cited work.
Generating AI Literacy MCQs: A Multi-Agent LLM Approach Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T04:51:04.101533Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation c760603c-a74a-42c3-a9d5-200b9f15f29b · outbound
This paper cites an unresolved cited work.
Generating AI Literacy MCQs: A Multi-Agent LLM Approach Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T04:51:04.086186Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 99234a85-b9a7-4c85-8415-01614269261b · outbound
This paper cites an unresolved cited work.
Generating AI Literacy MCQs: A Multi-Agent LLM Approach Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T04:51:04.071657Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 0097e21d-5a84-41d7-bfd6-09d1e67f33af · outbound
This paper cites an unresolved cited work.
Generating AI Literacy MCQs: A Multi-Agent LLM Approach Unresolved cited work
Reference 7
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T04:51:04.064483Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 2d0b9a78-e688-4f14-878b-6ea0458b6fa6 · outbound
This paper cites Medical Teacher (2024), 1–6.
Generating AI Literacy MCQs: A Multi-Agent LLM Approach Medical Teacher (2024), 1–6
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:51:04.078917Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6a26759a-e775-47fa-b573-264e8fa67a65 · outbound
This paper cites Touretzky, Christina Gardner-Mccune, and Deborah W.
Generating AI Literacy MCQs: A Multi-Agent LLM Approach Touretzky, Christina Gardner-Mccune, and Deborah W
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:51:04.053301Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a0ca62a1-ff67-410a-8550-61aab43894eb · outbound
This paper cites an unresolved cited work.
Generating AI Literacy MCQs: A Multi-Agent LLM Approach Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T04:51:04.045798Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 0e530c60-7502-49e0-94d6-ec35faee5385 · outbound
This paper cites an unresolved cited work.
Generating AI Literacy MCQs: A Multi-Agent LLM Approach Unresolved cited work
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:51:04.003238Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 88af72bb-3bce-4178-a174-58c2fcf58132 · outbound
This paper cites In Proceedings of the 55th ACM Technical Symposium on Computer Science Education V.
Generating AI Literacy MCQs: A Multi-Agent LLM Approach In Proceedings of the 55th ACM Technical Symposium on Computer Science Education V
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:51:04.038363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation bd6f2332-bea6-4feb-bfdd-26c2532244a7 · outbound
This paper cites In Proceedings of the 50th ACM Technical Symposium on Computer Science Education.
Generating AI Literacy MCQs: A Multi-Agent LLM Approach In Proceedings of the 50th ACM Technical Symposium on Computer Science Education
Reference 2019
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:51:04.093959Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 8fb2cbbc-83f7-4a00-8b90-f6d4f8586a7d · outbound
This paper cites In Proceedings of the 26th Australasian Computing Education Conference.
Generating AI Literacy MCQs: A Multi-Agent LLM Approach In Proceedings of the 26th Australasian Computing Education Conference
Reference 2024
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:51:04.109947Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Pith citing papers
Observation 6f4318d3-4eb4-439b-8f1b-ea922c88c832 · inbound
CODE-GEN: A Human-in-the-Loop RAG-Based Agentic AI System for Multiple-Choice Question Generation cites this paper.
CODE-GEN: A Human-in-the-Loop RAG-Based Agentic AI System for Multiple-Choice Question Generation Generating AI Literacy MCQs: A Multi-Agent LLM Approach
Reference 29
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-13T11:59:35.401885Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.