Paper Citation Record · LEDGER

AI Meets the Classroom: When Do Large Language Models Harm Learning?

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2409.09047.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2409.09047 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:16:54.802411Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

9
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e6760895-5460-4f6d-ad1f-b062e6c0f945 · inbound

How Adding Metacognitive Requirements in Support of AI Feedback in Practice Exams Transforms Student Learning Behaviors cites this paper.

How Adding Metacognitive Requirements in Support of AI Feedback in Practice Exams Transforms Student Learning Behaviors AI Meets the Classroom: When Do Large Language Models Harm Learning?

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T20:16:54.802411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c74c76e1-2907-46de-b2b1-ccdbfdfc8717 · inbound

Teaching Astronomy with Large Language Models cites this paper.

Teaching Astronomy with Large Language Models AI Meets the Classroom: When Do Large Language Models Harm Learning?

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-19T10:17:15.456129Z

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 612e7fb8-e561-4648-a2d6-f67ffbbb1c6c · inbound

Structured Prompts, Better Outcomes? Exploring the Effects of a Structured Interface with ChatGPT in a Graduate Robotics Course cites this paper.

Structured Prompts, Better Outcomes? Exploring the Effects of a Structured Interface with ChatGPT in a Graduate Robotics Course AI Meets the Classroom: When Do Large Language Models Harm Learning?

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T18:36:57.324740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd45fb8f-33d9-4273-a1f8-929beff7eb36 · inbound

Artificial or Human Intelligence? cites this paper.

Artificial or Human Intelligence? AI Meets the Classroom: When Do Large Language Models Harm Learning?

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T11:28:38.052476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fa2e920-c154-4329-9867-a646de680989 · inbound

Design and Deployment of a Course-Aware AI Tutor in an Introductory Programming Course cites this paper.

Design and Deployment of a Course-Aware AI Tutor in an Introductory Programming Course AI Meets the Classroom: When Do Large Language Models Harm Learning?

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:00:58.450649Z

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 26f0fbfd-f00f-4a7a-bc36-14723cf54734 · inbound

Preparing Students for AI-Powered Materials Discovery: A Workflow-Aligned Framework for AI Literacy, Equity, and Scientific Judgment cites this paper.

Preparing Students for AI-Powered Materials Discovery: A Workflow-Aligned Framework for AI Literacy, Equity, and Scientific Judgment AI Meets the Classroom: When Do Large Language Models Harm Learning?

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:21:24.678139Z

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 99ffc415-1425-4e25-907a-ace7147aff52 · inbound

Generative AI Availability, Grades, and Student Satisfaction at a Large University cites this paper.

Generative AI Availability, Grades, and Student Satisfaction at a Large University AI Meets the Classroom: When Do Large Language Models Harm Learning?

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T07:12:26.283947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.