Paper Citation Record · LEDGER

AI Agent for Education: von Neumann Multi-Agent System Framework

As of 11 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 6 inbound Pith citation observations for arXiv:2501.00083.

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

pith.paper-citation-record.v1
2501.00083 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:06:05.525086Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:33.312525Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T12:15:34.328862Z

Reference resolution

35 of 35 outbound references displayed

verified exact3
verified fuzzy9
unresolved21
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2c6e30b4-1e60-4d30-a600-07958182b21b · outbound

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

AI Agent for Education: von Neumann Multi-Agent System Framework Language models are few-shot learners,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:06.451281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b0dc590b-6e5a-4ecb-9e36-aab5c3db4132 · outbound

This paper cites InterAct: Exploring the Potentials of ChatGPT as a Cooperative Agent.

AI Agent for Education: von Neumann Multi-Agent System Framework InterAct: Exploring the Potentials of ChatGPT as a Cooperative Agent

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T23:06:05.340339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b1653f7-a009-495a-a76e-f878f52a2b27 · outbound

This paper cites Language models are unsupervised multitask learners,.

AI Agent for Education: von Neumann Multi-Agent System Framework Language models are unsupervised multitask learners,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:06.432658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 63bc8268-5012-4230-870b-64514cfd66b9 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

AI Agent for Education: von Neumann Multi-Agent System Framework LLaMA: Open and Efficient Foundation Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T23:06:05.351556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20725dcc-e827-407a-b1c7-b0cc662e45a6 · outbound

This paper cites EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education.

AI Agent for Education: von Neumann Multi-Agent System Framework EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T23:06:05.356657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68e3ccff-e150-4f3e-8adf-e1d4b7dbc39f · outbound

This paper cites an unresolved cited work.

AI Agent for Education: von Neumann Multi-Agent System Framework Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:06:06.414359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 23f11efc-9b7d-41c3-befb-8480317a3078 · outbound

This paper cites Scalable multi-robot collaboration with large language models: Centralized or decentralized systems?.

AI Agent for Education: von Neumann Multi-Agent System Framework Scalable multi-robot collaboration with large language models: Centralized or decentralized systems?

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T23:06:05.368016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3dd4686c-beaa-4628-9e25-6426cf39f85c · outbound

This paper cites An application of agent based simulation in e-education,.

AI Agent for Education: von Neumann Multi-Agent System Framework An application of agent based simulation in e-education,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:06.396856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 13c2743d-6d87-4fdb-bfc8-69ff38ce7a3d · outbound

This paper cites Agent-based simulation of group learning,.

AI Agent for Education: von Neumann Multi-Agent System Framework Agent-based simulation of group learning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:06.377439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 16b94e28-ccf8-4e9f-86fa-3a4d28d240b0 · outbound

This paper cites Generative adversarial user model for reinforcement learning based recommendation system,.

AI Agent for Education: von Neumann Multi-Agent System Framework Generative adversarial user model for reinforcement learning based recommendation system,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:06.359049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 88398aee-0298-400d-89cd-bb8b678ec4e2 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

AI Agent for Education: von Neumann Multi-Agent System Framework Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T23:06:05.389330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d2e14c9-7b05-406b-b540-295febb4df97 · outbound

This paper cites Acdo: An ant colony dynamic optimization framework for tourism route planning,.

AI Agent for Education: von Neumann Multi-Agent System Framework Acdo: An ant colony dynamic optimization framework for tourism route planning,

Reference 12

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T23:06:06.105546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a804b4d0-764d-4f8d-85f2-4439bb02e408 · outbound

This paper cites A control system of rail-guided vehicle assisted by transdifferentiation strategy of lower organisms,.

AI Agent for Education: von Neumann Multi-Agent System Framework A control system of rail-guided vehicle assisted by transdifferentiation strategy of lower organisms,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:06.339079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 369c38ac-249c-4690-8137-186b55dc97ae · outbound

This paper cites MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework.

AI Agent for Education: von Neumann Multi-Agent System Framework MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T23:06:05.406035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 994d50a7-42ea-44d7-b84a-dbf29e20e47c · outbound

This paper cites Towards Goal-oriented Intelligent Tutoring Systems in Online Education.

AI Agent for Education: von Neumann Multi-Agent System Framework Towards Goal-oriented Intelligent Tutoring Systems in Online Education

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T23:06:05.411529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b65e39ac-37ed-4a4b-a840-90ee30368c22 · outbound

This paper cites Constructing Self-Explanations and Scaffolded Explanations in Tu- toring,.

AI Agent for Education: von Neumann Multi-Agent System Framework Constructing Self-Explanations and Scaffolded Explanations in Tu- toring,

Reference 16

Resolution: malformed identifier; raw_fallback, observed 2026-08-10T23:06:06.320748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e3fe37e8-80d8-460f-a8f7-2081b5f4d4dc · outbound

This paper cites Usage of automatic guided vehicle systems and multi-agent technology in higher education,.

AI Agent for Education: von Neumann Multi-Agent System Framework Usage of automatic guided vehicle systems and multi-agent technology in higher education,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:06.302583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fc3888c0-ce2a-4d6a-9cb3-db59c3a4d16b · outbound

This paper cites Organismic materials for beyond von neumann machines,.

AI Agent for Education: von Neumann Multi-Agent System Framework Organismic materials for beyond von neumann machines,

Reference 18

Resolution: verified exact; doi, observed 2026-08-10T23:06:05.589644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 16ee177f-3d7a-4d47-b09e-1d2f137bb6d8 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

AI Agent for Education: von Neumann Multi-Agent System Framework Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T23:06:05.432711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33ad3cb1-b375-46ce-8f14-12469e40521d · outbound

This paper cites GPT-4 Technical Report.

AI Agent for Education: von Neumann Multi-Agent System Framework GPT-4 Technical Report

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T23:06:05.438292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00d53cd2-6c12-47a2-bf11-a3a122f5204e · outbound

This paper cites The Rise and Potential of Large Language Model Based Agents: A Survey.

AI Agent for Education: von Neumann Multi-Agent System Framework The Rise and Potential of Large Language Model Based Agents: A Survey

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T23:06:05.443474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be1acc4d-2d54-4b89-9406-a8ef176a4878 · outbound

This paper cites Tree of Thoughts: Deliberate Problem Solving with Large Language Models.

AI Agent for Education: von Neumann Multi-Agent System Framework Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T23:06:05.449220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58d71daa-c785-490e-aaa8-aad3bb03cc1f · outbound

This paper cites LLM+P: Empowering Large Language Models with Optimal Planning Proficiency.

AI Agent for Education: von Neumann Multi-Agent System Framework LLM+P: Empowering Large Language Models with Optimal Planning Proficiency

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T23:06:05.465654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41a0e405-b02e-42e1-a6ed-103b36307a6e · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

AI Agent for Education: von Neumann Multi-Agent System Framework ReAct: Synergizing Reasoning and Acting in Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T23:06:05.471118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 138beb9c-49c5-47f0-9d1d-916d3ddae7fd · outbound

This paper cites Reflexion: Language Agents with Verbal Reinforcement Learning.

AI Agent for Education: von Neumann Multi-Agent System Framework Reflexion: Language Agents with Verbal Reinforcement Learning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T23:06:05.476737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c503a23-5c12-4270-9c27-20f9ffcecbf0 · outbound

This paper cites Improving Factuality and Reasoning in Language Models through Multiagent Debate.

AI Agent for Education: von Neumann Multi-Agent System Framework Improving Factuality and Reasoning in Language Models through Multiagent Debate

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T23:06:05.482118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53eebcdc-fe72-4ab0-a180-79329759a6d6 · outbound

This paper cites CGMI: Configurable General Multi-Agent Interaction Framework.

AI Agent for Education: von Neumann Multi-Agent System Framework CGMI: Configurable General Multi-Agent Interaction Framework

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T23:06:05.487217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcee627b-9877-401a-80ba-a07edce359df · outbound

This paper cites HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face.

AI Agent for Education: von Neumann Multi-Agent System Framework HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T23:06:05.493927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a076438a-c48d-4ed7-b71e-be3be4afe240 · outbound

This paper cites TALM: Tool Augmented Language Models.

AI Agent for Education: von Neumann Multi-Agent System Framework TALM: Tool Augmented Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T23:06:05.499101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a27b368-cf3a-411b-aa07-500c495e4298 · outbound

This paper cites Intelligent Educational Agent for Education Support Using Long Language Models Through Langchain,.

AI Agent for Education: von Neumann Multi-Agent System Framework Intelligent Educational Agent for Education Support Using Long Language Models Through Langchain,

Reference 31

Resolution: verified exact; doi, observed 2026-08-10T23:06:05.569585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9ffc3bd7-3193-418f-9056-595b8aa42dec · outbound

This paper cites Study on the effective mechanism of network english independent learning platform based on multi agent of big data,.

AI Agent for Education: von Neumann Multi-Agent System Framework Study on the effective mechanism of network english independent learning platform based on multi agent of big data,

Reference 32

Resolution: verified exact; raw_fallback, observed 2026-08-10T23:06:05.748475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a4a56d40-9080-45c7-a5fe-d780ccdaf435 · outbound

This paper cites An adaptive ant colony optimization for solving large-scale traveling salesman problem,.

AI Agent for Education: von Neumann Multi-Agent System Framework An adaptive ant colony optimization for solving large-scale traveling salesman problem,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:06.285354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dd135828-dac2-47e8-ac80-012cafe3a76e · outbound

This paper cites Face Recognition Based on SVM Optimized by Improved Sparrow Search Algorithm,.

AI Agent for Education: von Neumann Multi-Agent System Framework Face Recognition Based on SVM Optimized by Improved Sparrow Search Algorithm,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:06:06.268241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 71e97d38-5174-4b94-ba1f-49e4796217cf · outbound

This paper cites Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback.

AI Agent for Education: von Neumann Multi-Agent System Framework Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T23:06:05.525086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81262f30-9243-4995-b19b-d3de8d3e70c4 · outbound

This paper cites Graph of Thoughts: Solving Elaborate Problems with Large Language Models.

AI Agent for Education: von Neumann Multi-Agent System Framework Graph of Thoughts: Solving Elaborate Problems with Large Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-10T23:06:05.460054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 53c59f14-cf73-4faa-9ee3-c3677f4a7685 · inbound

MAS-KCL: Knowledge component graph structure learning with large language model-based agentic workflow cites this paper.

MAS-KCL: Knowledge component graph structure learning with large language model-based agentic workflow AI Agent for Education: von Neumann Multi-Agent System Framework

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:33.312525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a423a120-4d09-460e-8404-3a886d413039 · inbound

A Survey on Agent Workflow -- Status and Future cites this paper.

A Survey on Agent Workflow -- Status and Future AI Agent for Education: von Neumann Multi-Agent System Framework

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T05:52:41.897092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de054d91-716b-438f-8fc9-03e63a6d4aea · inbound

A Multimodal Foundation Model of Spatial Transcriptomics and Histology for Biological Discovery and Clinical Prediction cites this paper.

A Multimodal Foundation Model of Spatial Transcriptomics and Histology for Biological Discovery and Clinical Prediction AI Agent for Education: von Neumann Multi-Agent System Framework

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-13T12:44:39.273341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61132e7a-bf80-47ea-8c1a-aac155434c67 · inbound

Single-agent vs. Multi-agents for Automated Video Analysis of On-Screen Collaborative Learning Behaviors cites this paper.

Single-agent vs. Multi-agents for Automated Video Analysis of On-Screen Collaborative Learning Behaviors AI Agent for Education: von Neumann Multi-Agent System Framework

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:33:02.314033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6fe5f8dc-6fae-4b47-b292-f02c438c4846 · inbound

Thinking in Graphs with CoMAP: A Shared Visual Workspace for Designing Project-Based Learning cites this paper.

Thinking in Graphs with CoMAP: A Shared Visual Workspace for Designing Project-Based Learning AI Agent for Education: von Neumann Multi-Agent System Framework

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-15T12:15:34.332088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8012de45-10c6-4f58-9367-09f4ea288ee1 · inbound

Persona-Based Requirements Engineering for Explainable Multi-Agent Educational Systems: A Scenario Simulator for Clinical Reasoning Training cites this paper.

Persona-Based Requirements Engineering for Explainable Multi-Agent Educational Systems: A Scenario Simulator for Clinical Reasoning Training AI Agent for Education: von Neumann Multi-Agent System Framework

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:36:36.517989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.