Paper Citation Record · LEDGER

The Advancement of Personalized Learning Potentially Accelerated by Generative AI

As of 12 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2412.00691.

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

pith.paper-citation-record.v1
2412.00691 v2

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:08:42.268130Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

verified exact1
verified fuzzy4
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8ffe8f92-3501-4318-9a3e-309fa30f21e4 · outbound

This paper cites an unresolved cited work.

The Advancement of Personalized Learning Potentially Accelerated by Generative AI Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T05:08:42.216625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d78fb1b-0ec9-46b6-986f-dfd1032cc381 · outbound

This paper cites http://gccce2024.swu.edu.cn/GCCCE2024_gongzuofanglunwenji2024-06-23A.pdf#page=148 Li, R., Wang, Y., Zheng, C., Jiang, Y.-H., & Jiang, B.

The Advancement of Personalized Learning Potentially Accelerated by Generative AI http://gccce2024.swu.edu.cn/GCCCE2024_gongzuofanglunwenji2024-06-23A.pdf#page=148 Li, R., Wang, Y., Zheng, C., Jiang, Y.-H., & Jiang, B

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T05:08:42.236058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60a92445-1fb2-4757-9f09-1ecc61e13a71 · outbound

This paper cites http://gccce2024.swu.edu.cn/GCCCE2024_gongzuofanglunwenji2024-06-23A.pdf#page=134 Quintana, C., Reiser, B.

The Advancement of Personalized Learning Potentially Accelerated by Generative AI http://gccce2024.swu.edu.cn/GCCCE2024_gongzuofanglunwenji2024-06-23A.pdf#page=134 Quintana, C., Reiser, B

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:08:42.661854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6700c39b-c143-43e8-a914-34c9bbc64edd · outbound

This paper cites Automatic Generation of Programming Exercises and Code Explanations using Large Language Models.

The Advancement of Personalized Learning Potentially Accelerated by Generative AI Automatic Generation of Programming Exercises and Code Explanations using Large Language Models

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-12T05:08:42.478446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 430afa8e-7c58-4fc7-a08c-4ab6849c06f1 · outbound

This paper cites A., AlAli, R., & Jarrah, A.

The Advancement of Personalized Learning Potentially Accelerated by Generative AI A., AlAli, R., & Jarrah, A

Reference 12

Resolution: metadata mismatch; raw_fallback, observed 2026-08-12T05:08:42.388535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f1fd1a6f-eef8-4ba2-b35d-c6a681c5e4a1 · outbound

This paper cites Enhancing Explainability of Knowledge Learning Paths: Causal Knowledge Networks.

The Advancement of Personalized Learning Potentially Accelerated by Generative AI Enhancing Explainability of Knowledge Learning Paths: Causal Knowledge Networks

Reference 13

Resolution: metadata mismatch; local_arxiv, observed 2026-08-12T05:08:42.306577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8d5c73e0-ac45-4748-91b4-cf939a6a57d3 · outbound

This paper cites http://gccce2024.swu.edu.cn/GCCCE2024_gongzuofanglunwenji2024-06-23A.pdf#page=126 SITE 2025 - Orlando, Florida, United States, March 17-21, 2025 Preview version of this paper.

The Advancement of Personalized Learning Potentially Accelerated by Generative AI http://gccce2024.swu.edu.cn/GCCCE2024_gongzuofanglunwenji2024-06-23A.pdf#page=126 SITE 2025 - Orlando, Florida, United States, March 17-21, 2025 Preview version of this paper

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:08:42.636990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 759136ec-52fa-4fb2-8d10-a40759186684 · outbound

This paper cites an unresolved cited work.

The Advancement of Personalized Learning Potentially Accelerated by Generative AI Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:08:42.648669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 96cf49be-eb64-4a5a-8bac-727b680954a8 · outbound

This paper cites AI Agent for Education: von Neumann Multi-Agent System Framework.

The Advancement of Personalized Learning Potentially Accelerated by Generative AI AI Agent for Education: von Neumann Multi-Agent System Framework

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T05:08:42.229686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0dd02f08-f9e0-43be-82e6-7a85cbb216ad · outbound

This paper cites I., Junus, K., & Santoso, H.

The Advancement of Personalized Learning Potentially Accelerated by Generative AI I., Junus, K., & Santoso, H

Reference 363

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:08:42.687076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6b9a6071-ab5e-4f08-84be-813a4f75d1d1 · outbound

This paper cites Large Language Models (GPT) for automating feedback on programming assignments.

The Advancement of Personalized Learning Potentially Accelerated by Generative AI Large Language Models (GPT) for automating feedback on programming assignments

Reference 645

Resolution: unresolved; no resolver link, observed 2026-08-12T05:08:42.239998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26a603b0-dfe9-42f0-8e40-ca251d3c1d95 · outbound

This paper cites S., & Cole, M.

The Advancement of Personalized Learning Potentially Accelerated by Generative AI S., & Cole, M

Reference 998

Resolution: unresolved; no resolver link, observed 2026-08-12T05:08:42.256411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7caba167-ccf9-440e-aab8-3f64f71863ba · outbound

This paper cites http://gccce2024.swu.edu.cn/GCCCE2024_gongzuofanglunwenji2024-06-23A.pdf#page=163 Ihantola, P., Ahoniemi, T., Karavirta, V., & Seppälä, O.

The Advancement of Personalized Learning Potentially Accelerated by Generative AI http://gccce2024.swu.edu.cn/GCCCE2024_gongzuofanglunwenji2024-06-23A.pdf#page=163 Ihantola, P., Ahoniemi, T., Karavirta, V., & Seppälä, O

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:08:42.673521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.