Paper Citation Record · LEDGER

CodeEdu: A Multi-Agent Collaborative Platform for Personalized Coding Education

As of 20 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2507.13814.

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

pith.paper-citation-record.v1
2507.13814 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:20:47.915473Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

12 of 12 outbound references displayed

verified exact0
verified fuzzy5
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 67b3c243-1b69-4f9d-9157-fffe020b7445 · outbound

This paper cites Llm agents for education: Advances and applications. arxiv 2025,.

CodeEdu: A Multi-Agent Collaborative Platform for Personalized Coding Education Llm agents for education: Advances and applications. arxiv 2025,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T16:20:47.883231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 950c1779-cdd8-4d9c-a40a-70944a36e527 · outbound

This paper cites Recommender systems meet large language model agents: A survey,.

CodeEdu: A Multi-Agent Collaborative Platform for Personalized Coding Education Recommender systems meet large language model agents: A survey,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:20:48.211123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4a5675b8-6e12-4f71-bb41-ef16d954f80d · outbound

This paper cites Can chatgpt replace traditional kbqa models? an in-depth analysis of the question answering performance of the gpt llm family,.

CodeEdu: A Multi-Agent Collaborative Platform for Personalized Coding Education Can chatgpt replace traditional kbqa models? an in-depth analysis of the question answering performance of the gpt llm family,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:20:48.202731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ff63d652-0244-4d8e-bc3d-ca944102372b · outbound

This paper cites A comprehensive sur- vey on process-oriented automatic text summarization with exploration of llm-based methods,.

CodeEdu: A Multi-Agent Collaborative Platform for Personalized Coding Education A comprehensive sur- vey on process-oriented automatic text summarization with exploration of llm-based methods,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T16:20:47.892384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48430bf8-0530-46bd-a702-9da6ed6c1a14 · outbound

This paper cites CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges.

CodeEdu: A Multi-Agent Collaborative Platform for Personalized Coding Education CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T16:20:47.895227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 997c781a-e5b0-49e7-9d9e-4b810f6faf14 · outbound

This paper cites Swe-agent: Agent-computer interfaces enable automated soft- ware engineering,.

CodeEdu: A Multi-Agent Collaborative Platform for Personalized Coding Education Swe-agent: Agent-computer interfaces enable automated soft- ware engineering,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:20:48.194061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b1769ab5-d73a-4c51-8a27-e5b5d232315a · outbound

This paper cites Agentcoder: Multi-agent-based code generation with iterative testing and optimisation,.

CodeEdu: A Multi-Agent Collaborative Platform for Personalized Coding Education Agentcoder: Multi-agent-based code generation with iterative testing and optimisation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:20:48.185055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d4b06a02-bcc3-42aa-9c90-74315411e669 · outbound

This paper cites Multi-Agent Collaboration Mechanisms: A Survey of LLMs.

CodeEdu: A Multi-Agent Collaborative Platform for Personalized Coding Education Multi-Agent Collaboration Mechanisms: A Survey of LLMs

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T16:20:47.903848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00e5b18d-f0b1-4701-8377-290eb1dc135e · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

CodeEdu: A Multi-Agent Collaborative Platform for Personalized Coding Education DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T16:20:47.907015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adaaf72e-cca5-41d0-9f90-19884e8cf193 · outbound

This paper cites Teach ai how to code: Using large language models as teachable agents for programming education,.

CodeEdu: A Multi-Agent Collaborative Platform for Personalized Coding Education Teach ai how to code: Using large language models as teachable agents for programming education,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T16:20:47.909774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation caa605eb-3ec1-414a-a29e-594d9fc5a7de · outbound

This paper cites MapCoder: Multi-Agent Code Generation for Competitive Problem Solving.

CodeEdu: A Multi-Agent Collaborative Platform for Personalized Coding Education MapCoder: Multi-Agent Code Generation for Competitive Problem Solving

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T16:20:47.912645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9628acdf-5e4c-4fbc-829b-44c6257eba20 · outbound

This paper cites Eduplanner: Llm-based multi-agent systems for customized and intelligent instruc- tional design,.

CodeEdu: A Multi-Agent Collaborative Platform for Personalized Coding Education Eduplanner: Llm-based multi-agent systems for customized and intelligent instruc- tional design,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:20:48.175291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.