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Paper Citation Record · LEDGER

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

As of 22 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 7 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 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:08:42.229686Z

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T23:06:05.334719Z digest=sha256:6858d4013ea516326c17cbcdeebbdd75c8a8f4bbe725cf3fd6658a2a9609a4b0

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:06:05.340339Z digest=sha256:e37b97e0f0e2f98c8c75187b75806db51ef48891d6c78bfec336babcb2187010

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T23:06:05.346366Z digest=sha256:473c44379237fa0dc034c970cc602ee05815fe653fda343ef307b7d4c8e81c23

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:06:05.351556Z digest=sha256:673311e0404860335083e16f393ab8a5d4fe0ff490272d0320047b2ee03870c2

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.

source=pdf_text observed=2026-08-10T23:06:05.356657Z digest=sha256:7e0508eb71e9c83bb5a233cde6c63a1d10e9c12402039ceccc99c9f5a9350834

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T23:06:05.362230Z digest=sha256:5d3d6e2ca1968d7f7e02b23bcd71382b788a6fa044e634bdf891fc0d27bc7324

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:06:05.368016Z digest=sha256:f1ff27d9f3668c2bbfedace7d0e353b71e36da04f6bcab5f715e77c1ea30ebf3

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T23:06:05.373400Z digest=sha256:053b2b5b27765865f3729e2036e5b32de3039ea693632d6e26d8ee14d168aa01

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T23:06:05.378630Z digest=sha256:9024a6395a78979f18b5e9a7d257ef18efc334fa395fc2dc4ad36f3c370433aa

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T23:06:05.383744Z digest=sha256:c87bf1a82bf90f2c71a4f764546936075e42b7b242862de9b126a3147eb80b94

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.

source=pdf_text observed=2026-08-10T23:06:05.389330Z digest=sha256:1b29c7e4f653991d45b55c272ef538af1288dd6a4b9c85f0a044f1c757c175fa

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T23:06:05.395685Z digest=sha256:1a6455de294385958b6203e26a6d4600f029bfc43e464578e35e306b46184901

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T23:06:05.400543Z digest=sha256:f28dc9f97df8e694bd77e5a0a1897a83ef3528bc81bcd9f2bd1f50bdd1ded9f2

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.

source=pdf_text observed=2026-08-10T23:06:05.406035Z digest=sha256:3d19b6df2697dba35b8ccb30681d48d0eb7b072f0557ee01f63dd7d003b7600c

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.

source=pdf_text observed=2026-08-10T23:06:05.411529Z digest=sha256:d7b68f36299a74296077675d742c2b8ff80b492bca56195cb7d8d885d14a5d0b

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T23:06:05.417174Z digest=sha256:cda3b502aa6ce96a7b807894e659d98b6a41478f2c678e7f5c0bfb486d8a0748

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T23:06:05.421864Z digest=sha256:c4aee586e67c36d9060f11ed2dad46727865c4735d58945d883d5269f3ea5450

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T23:06:05.426848Z digest=sha256:d753a81e6057ce1a85717109d72c97cf4cf3be9498fc11ee6fbf03b0b9e6e04e

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.

source=pdf_text observed=2026-08-10T23:06:05.432711Z digest=sha256:f858fd360b3708f3ceddcf499492cab31ea3b1f05152f91a14f30f6bb34c6ddc

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.

source=pdf_text observed=2026-08-10T23:06:05.438292Z digest=sha256:9b3707f981ad1a6499b61efb92b468fdf300c025728f5fd9b4fd77fd813966a8

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.

source=pdf_text observed=2026-08-10T23:06:05.443474Z digest=sha256:c7f2daadad8561bcb14e0c36125538f9fdbd066f01a6ccc7b2d26d239f6c5fd3

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:06:05.449220Z digest=sha256:c72449823020dfb18ed0120502c2447af5a7011f0cdcbf5dbda2f2236fae159b

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.

source=pdf_text observed=2026-08-10T23:06:05.465654Z digest=sha256:b5f4c8229b513b3df6bcd41d06090477123f00d63f3b5468a8cb9950fbf16ce5

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.

source=pdf_text observed=2026-08-10T23:06:05.471118Z digest=sha256:0127e63750b28da2f9d8565cf125ed703c34fe42422953ca65d4a49316bec7bd

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.

source=pdf_text observed=2026-08-10T23:06:05.476737Z digest=sha256:5459392b11ad371686a5042a2f3bdf0b87cc3862990972addf81bb4a5770a804

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.

source=pdf_text observed=2026-08-10T23:06:05.482118Z digest=sha256:8a2a0491ca61b327a2202545afbbfc4a4a9f0e7653f4ec055bf5b5fa39c0694e

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.

source=pdf_text observed=2026-08-10T23:06:05.487217Z digest=sha256:a9780844f84ed843420ff1272084f755a9fe3496fbc4e55b26fb489dadfa307b

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.

source=pdf_text observed=2026-08-10T23:06:05.493927Z digest=sha256:c711ba2788c6e94f86b71b4e0b466f6abbac642a716895e4e1dc0fae1aec148b

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.

source=pdf_text observed=2026-08-10T23:06:05.499101Z digest=sha256:ac6ff3f5608ac6b95fec576d5102c7cf7e8dc8f42c0e724c01f300a4bc697226

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T23:06:05.504101Z digest=sha256:43c79146628d5aded0ccd5181bf9111761d31bb52cc25baae5ae926a66c810ac

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T23:06:05.509089Z digest=sha256:f6a4cac8c33dd69cd0619cf02fc446affc11ef2cc829a61654183c5735eba7ad

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T23:06:05.514310Z digest=sha256:c00723baf25fbafd83e8e558a267b8b12f582e11fc08b8376d673113266379a8

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T23:06:05.519655Z digest=sha256:06817812d51181735219eb6c7cd60173a3fe428679ec2197d285ad4ecfdaf5c6

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.

source=pdf_text observed=2026-08-10T23:06:05.525086Z digest=sha256:0f89a730114932bc56111902dd770e84ed688377ab688ec9d081ad520c801444

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.

source=pdf_text observed=2026-08-10T23:06:05.460054Z digest=sha256:799e71af2dc7f688180fdff2054af544b5ba2c1b7446d2517576b0700c6207b0

Pith citing papers

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

The Advancement of Personalized Learning Potentially Accelerated by Generative AI cites this paper.

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.

source=pdf_text observed=2026-08-12T05:08:42.229686Z digest=sha256:d5e6f4a0c5f32dff1d6236085221e79abe90c0b6d0ca10c39e96eb183cb51f5d

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.

source=pdf_text observed=2026-08-07T15:42:33.312525Z digest=sha256:8791fb98d28da7922c5c406634586123e38f1fea837859ccd4e5ea9affc9ad4c

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.

source=pdf_text observed=2026-08-06T05:52:41.897092Z digest=sha256:a4d31432b03a6777d3253bde9adee3a1729a1cfa8d533641048f74b66fa17112

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.

source=pdf_text observed=2026-07-13T12:44:39.273341Z digest=sha256:a27c022ac4b525c2959369127b6c141243324df387143821e9e66a1dc20f1d7d

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-13T17:32:06.256142Z digest=sha256:0da4ef405164e5dded63e548d47ef027b68cea3087eb34abae30122139155952

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-15T12:15:23.635183Z digest=sha256:f9cfa93e346a672325eb8649b796c892543aa3c6711c051975f157f9df10c7cc

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T06:34:59.590484Z digest=sha256:136e001e9a1b844dcf0d8a08a1aa1e19622c1a5e9729c043efac4999f39e30e9