Paper Citation Record · LEDGER

Generating AI Literacy MCQs: A Multi-Agent LLM Approach

As of 21 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.

pith.paper-citation-record.v1
2412.00970 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:51:04.010826Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T11:58:11.319217Z

measured 1 of 1 external citation measurements

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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+00:00.