Paper Citation Record · LEDGER

Partnering with AI: A Pedagogical Feedback System for LLM Integration into Programming Education

As of 8 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2507.00406.

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

pith.paper-citation-record.v1
2507.00406 v3

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:21:57.171137Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

28 of 28 outbound references displayed

verified exact0
verified fuzzy23
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d5b37158-5665-447c-a558-3d49c3e5eeba · outbound

This paper cites The Power of Feedback.

Partnering with AI: A Pedagogical Feedback System for LLM Integration into Programming Education The Power of Feedback

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:21:57.618966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b0c21b28-8716-4965-bffc-f2aa737ce74b · outbound

This paper cites Nicol and Debra Macfarlane-Dick.

Partnering with AI: A Pedagogical Feedback System for LLM Integration into Programming Education Nicol and Debra Macfarlane-Dick

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:21:57.603582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7e410b09-4413-4807-a896-43ca8dde371f · outbound

This paper cites Mason and Roger Bruning.

Partnering with AI: A Pedagogical Feedback System for LLM Integration into Programming Education Mason and Roger Bruning

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:21:57.589250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e4c949df-875d-41ec-a554-555b5321f75c · outbound

This paper cites an unresolved cited work.

Partnering with AI: A Pedagogical Feedback System for LLM Integration into Programming Education Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:21:57.575235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ce15751a-e02c-4b0a-af46-ce3d9a46397d · outbound

This paper cites One Step at a Time: Combining LLMs and Static Analysis to Generate Next-Step Hints for Programming Tasks.

Partnering with AI: A Pedagogical Feedback System for LLM Integration into Programming Education One Step at a Time: Combining LLMs and Static Analysis to Generate Next-Step Hints for Programming Tasks

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:21:57.561236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 97e13f61-641d-443e-bd7e-aa9635d0a8b9 · outbound

This paper cites Using Generative AI and Multi-Agents to Provide Automatic Feedback.

Partnering with AI: A Pedagogical Feedback System for LLM Integration into Programming Education Using Generative AI and Multi-Agents to Provide Automatic Feedback

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T21:21:55.463507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 774240a6-c332-4043-875e-5ae673513ca2 · outbound

This paper cites Teachers’ and students’ perceptions of AI-generated concept explanations: Implications for integrating generative AI in computer science education.

Partnering with AI: A Pedagogical Feedback System for LLM Integration into Programming Education Teachers’ and students’ perceptions of AI-generated concept explanations: Implications for integrating generative AI in computer science education

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:21:57.546832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 129a927e-a460-4739-b025-0027fbaa0563 · outbound

This paper cites You’re (Not) My Type- Can LLMs Generate Feedback of Specific Types for Introductory Programming Tasks? Journal of Computer Assisted Learning, 41(1):e13107, 2025.

Partnering with AI: A Pedagogical Feedback System for LLM Integration into Programming Education You’re (Not) My Type- Can LLMs Generate Feedback of Specific Types for Introductory Programming Tasks? Journal of Computer Assisted Learning, 41(1):e13107, 2025

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:21:57.532285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 78df1e01-f6f8-4349-9279-299ef0e4c8ae · outbound

This paper cites Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation.

Partnering with AI: A Pedagogical Feedback System for LLM Integration into Programming Education Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:21:57.517798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b6f0c160-f7d7-45f4-9cf5-ec714f7a70ea · outbound

This paper cites Next-Step Hint Generation for Introductory Programming Using Large Language Models.

Partnering with AI: A Pedagogical Feedback System for LLM Integration into Programming Education Next-Step Hint Generation for Introductory Programming Using Large Language Models

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:21:57.503709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 283dcb11-9418-4c7c-afa5-00b713e366b1 · outbound

This paper cites Koedinger, and Sherry Tongshuang Wu.

Partnering with AI: A Pedagogical Feedback System for LLM Integration into Programming Education Koedinger, and Sherry Tongshuang Wu

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:21:57.488734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cc84420e-ec71-408e-97b3-c1bbaa0eccce · outbound

This paper cites A Systematic Literature Review of Automated Feedback Generation for Programming Exercises.

Partnering with AI: A Pedagogical Feedback System for LLM Integration into Programming Education A Systematic Literature Review of Automated Feedback Generation for Programming Exercises

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:21:57.475493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 03562b4b-702f-4fba-9979-999ecc329151 · outbound

This paper cites An Adaptive Approach to Provide Feedback for Students in Programming Problem Solving.

Partnering with AI: A Pedagogical Feedback System for LLM Integration into Programming Education An Adaptive Approach to Provide Feedback for Students in Programming Problem Solving

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:21:57.461865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 614f03c9-7835-4f05-b854-8e84c82cd025 · outbound

This paper cites Generative AI for Education (GAIED): Advances, Opportunities, and Challenges.

Partnering with AI: A Pedagogical Feedback System for LLM Integration into Programming Education Generative AI for Education (GAIED): Advances, Opportunities, and Challenges

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T21:21:56.391984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2feba665-7230-4165-b6b7-54fa67ff77d7 · outbound

This paper cites Mitchell.

Partnering with AI: A Pedagogical Feedback System for LLM Integration into Programming Education Mitchell

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:21:57.447979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0d85798f-9adb-4cef-8042-229e933e064d · outbound

This paper cites Large language models for in-context student modeling: Synthesizing student’s behavior in visual programming.

Partnering with AI: A Pedagogical Feedback System for LLM Integration into Programming Education Large language models for in-context student modeling: Synthesizing student’s behavior in visual programming

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:21:57.433694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f7d040a4-84a7-4f39-893d-81078df2a99f · outbound

This paper cites Students’ Perceptions and Preferences of Generative Artificial Intelligence Feedback for Programming.

Partnering with AI: A Pedagogical Feedback System for LLM Integration into Programming Education Students’ Perceptions and Preferences of Generative Artificial Intelligence Feedback for Programming

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:21:57.417691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0d1f3895-b452-499f-a148-54f94e42c2d0 · outbound

This paper cites Can I ask a question? the importance of classroom questioning.

Partnering with AI: A Pedagogical Feedback System for LLM Integration into Programming Education Can I ask a question? the importance of classroom questioning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:21:57.402826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 05640df1-b7ae-4429-9cf0-78eeaf4cb99d · outbound

This paper cites Wallis, Mladen A.

Partnering with AI: A Pedagogical Feedback System for LLM Integration into Programming Education Wallis, Mladen A

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:21:57.388022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8d0bae3e-1f59-4330-b773-bf1b4c3dad60 · outbound

This paper cites The paths taken by good and weak programming students.

Partnering with AI: A Pedagogical Feedback System for LLM Integration into Programming Education The paths taken by good and weak programming students

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:21:57.374010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b71887fd-9d4f-446c-86fd-e1a7ebac104d · outbound

This paper cites Synthesizing High-Quality Programming Tasks with LLM-based Expert and Student Agents.

Partnering with AI: A Pedagogical Feedback System for LLM Integration into Programming Education Synthesizing High-Quality Programming Tasks with LLM-based Expert and Student Agents

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:21:57.358959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f5a503c9-be76-4028-b408-7efeb238ff75 · outbound

This paper cites LLM-powered Multi-agent Framework for Goal-oriented Learning in Intelligent Tutoring System.

Partnering with AI: A Pedagogical Feedback System for LLM Integration into Programming Education LLM-powered Multi-agent Framework for Goal-oriented Learning in Intelligent Tutoring System

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T21:21:57.143892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 594b09ef-719b-4eaa-96dc-417145b24130 · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

Partnering with AI: A Pedagogical Feedback System for LLM Integration into Programming Education AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T21:21:57.148581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03263efc-6f4d-4703-b86b-9b86b00149ac · outbound

This paper cites GPT-4o System Card, August 2024.

Partnering with AI: A Pedagogical Feedback System for LLM Integration into Programming Education GPT-4o System Card, August 2024

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:21:57.341622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b54247da-3a84-40f0-be61-40e92e310f48 · outbound

This paper cites GPT-4o mini: advancing cost-efficient intelligence, July 2024.

Partnering with AI: A Pedagogical Feedback System for LLM Integration into Programming Education GPT-4o mini: advancing cost-efficient intelligence, July 2024

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:21:57.325344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 889bd1c1-ceb5-4815-933b-71efb87db03f · outbound

This paper cites Affinity Diagramming for Collaboratively Sorting UX Findings and Design Ideas, 2024.

Partnering with AI: A Pedagogical Feedback System for LLM Integration into Programming Education Affinity Diagramming for Collaboratively Sorting UX Findings and Design Ideas, 2024

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:21:57.309452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 507cb8f6-5ced-4345-9406-550d12e5ddbc · outbound

This paper cites Measuring disagreement.

Partnering with AI: A Pedagogical Feedback System for LLM Integration into Programming Education Measuring disagreement

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:21:57.293887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5888983f-3a14-445a-902e-d6c07535925f · outbound

This paper cites Effects of adaptive feedback through adigital tool – a mixed- methods study on the course of self-regulatedlearning.

Partnering with AI: A Pedagogical Feedback System for LLM Integration into Programming Education Effects of adaptive feedback through adigital tool – a mixed- methods study on the course of self-regulatedlearning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:21:57.277927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.