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Paper Citation Record · LEDGER

Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning

As of 8 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2507.12079.

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

pith.paper-citation-record.v1
2507.12079 v1

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measured 40 of 40 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

40 of 40 outbound references displayed

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External citation measurements

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Outbound references

Observation 95000a24-5693-44ab-83a7-dd278f090a36 · outbound

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Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning Unresolved cited work

Reference 1

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This paper cites Karp and G.

Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning Karp and G

Reference 2

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This paper cites The transition from white box to black box: Challenges and opportunities in signal processing education,.

Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning The transition from white box to black box: Challenges and opportunities in signal processing education,

Reference 3

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This paper cites A signal processor teaches generative artificial intelligence [sp education],.

Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning A signal processor teaches generative artificial intelligence [sp education],

Reference 4

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This paper cites A pragmatic introduction to signal processing,.

Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning A pragmatic introduction to signal processing,

Reference 5

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This paper cites Holmes, F.

Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning Holmes, F

Reference 6

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This paper cites The comparison of general tips for mathematical problem solving generated by generative ai with those generated by human teachers,.

Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning The comparison of general tips for mathematical problem solving generated by generative ai with those generated by human teachers,

Reference 7

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This paper cites Language models are few-shot learners,.

Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning Language models are few-shot learners,

Reference 8

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This paper cites Socratic method,.

Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning Socratic method,

Reference 9

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This paper cites To describe, transmit or inquire: Ethics and technology in school,.

Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning To describe, transmit or inquire: Ethics and technology in school,

Reference 10

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This paper cites Ai4edu: An innovative conversational ai assistant for teaching and learning,.

Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning Ai4edu: An innovative conversational ai assistant for teaching and learning,

Reference 11

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This paper cites Digihealth-ai: Outcomes of the first blended intensive programme (bip) on ai for health –a cross-disciplinary multi-institutional short teaching course,.

Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning Digihealth-ai: Outcomes of the first blended intensive programme (bip) on ai for health –a cross-disciplinary multi-institutional short teaching course,

Reference 12

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Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning Training Verifiers to Solve Math Word Problems

Reference 13

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Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning Measuring mathematical problem solving with the math dataset,

Reference 14

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This paper cites Comparison of new mathematics teaching methods with traditional method,.

Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning Comparison of new mathematics teaching methods with traditional method,

Reference 15

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This paper cites Personalized education in the artificial intelligence era: what to expect next,.

Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning Personalized education in the artificial intelligence era: what to expect next,

Reference 16

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Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning Socratic as mathematics learning application for differential equations concept,

Reference 17

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This paper cites Experiments with a socratic intelligent tutoring system for source code understanding,.

Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning Experiments with a socratic intelligent tutoring system for source code understanding,

Reference 18

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Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning https://ai4edu.eu/

Reference 19

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Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning Where’s the evidence that active learning works?

Reference 20

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Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning Does active learning work? a review of the research,

Reference 21

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Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning Beyond active learning: A constructivist approach to learning,

Reference 22

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Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning Gamification and education: A literature review,

Reference 23

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Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning Self-determination theory,

Reference 24

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Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning Student-centered learning in higher education

Reference 25

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Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning Experiential learning theory: Previous research and new directions,

Reference 26

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Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning Guiding students in using llms in supported learning environments: Effects on interaction dynamics, learner performance, confidence, and trust,

Reference 27

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Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning The 2 sigma problem: The search for methods of group instruction as effective as one -to-one tutoring,

Reference 28

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Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning Higgins and A

Reference 29

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Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning Recent developments in using digital technology in mathematics education,

Reference 30

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Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning 13 chatgpt and active learning,

Reference 31

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Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning DeepSeek-V3 Technical Report

Reference 32

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Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning (2022) Introducing ChatGPT

Reference 33

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Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning (2024) Claude

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 9e2e3d6f-e976-4220-93e7-fe32f4c63d51 · outbound

This paper cites (2024) Gemini.

Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning (2024) Gemini

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:58:06.398067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:58:06.236736Z digest=sha256:db2c3817576b277f848e64cb90f867a16b1746d4fa52cea0918385241661276b

Observation eeefa834-1d89-4bf8-8099-90b8e9f475f4 · outbound

This paper cites Attention is all you need,.

Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning Attention is all you need,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T16:58:06.241258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:06.241258Z digest=sha256:dd7021fc9ae58f7e395114ce5b6af9f2abfd32b97128b59cb3be098978312a4b

Observation bc924b73-20bb-4791-bda3-01f7e33c5e14 · outbound

This paper cites Fairness and Bias in Multimodal AI: A Survey.

Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning Fairness and Bias in Multimodal AI: A Survey

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T16:58:06.245683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:06.245683Z digest=sha256:2cae837ebbdf8f589e95d48d0be55b4f750b9d42cf472e1dbdbb75c96e464b6d

Observation 4d94c467-261a-4a7a-82cf-0f2591a6d50c · outbound

This paper cites Applying criteria to examples or learning by comparison: Effects on students’ evaluative judgment and performance in writing,.

Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning Applying criteria to examples or learning by comparison: Effects on students’ evaluative judgment and performance in writing,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:58:06.373709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:58:06.250532Z digest=sha256:3697e8f3d41a1bd885335228f5e1edbfdd2c933df5519da8d79e899fb8b8ed86

Observation 88dd97ba-189e-486e-9861-7ab813d82912 · outbound

This paper cites Generative ai and teachers–for us or against us? a case study,.

Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning Generative ai and teachers–for us or against us? a case study,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:58:06.358213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:58:06.255019Z digest=sha256:6a2417bdd7a779170906f3ba2e38771df58ebd458ec0ee14e8befd9f03f3022d

Observation d33e86ce-41ea-4c7b-9999-7bc6e22f8903 · outbound

This paper cites Artificial general intelligence: concept, state of the art, and future prospects,.

Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning Artificial general intelligence: concept, state of the art, and future prospects,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:58:06.342891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:58:06.259752Z digest=sha256:f5f72e7ef118a70ae3f0f53fa8a98b701f09c9fa31a08b53e9dbf418db8d8fda

Pith citing papers

No inbound Pith citation observations are available.