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Paper Citation Record · LEDGER

EduAgent: Generative Student Agents in Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2404.07963.

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

pith.paper-citation-record.v1
2404.07963 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:15:25.772079Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:28:44.579414Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ca1a1985-7221-4121-9a00-a615ad5fd908 · inbound

Position: LLMs Can be Good Tutors in English Education cites this paper.

Position: LLMs Can be Good Tutors in English Education EduAgent: Generative Student Agents in Learning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-08T19:15:25.772079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:15:25.772079Z digest=sha256:036cb11c0625ac7e56e38e606861ee8e58c5adda0253626a106629631a58b9c1

Observation 831d90cd-c02e-4e4e-953d-18e89cbc339e · inbound

Knowledge is Power: Harnessing Large Language Models for Enhanced Cognitive Diagnosis cites this paper.

Knowledge is Power: Harnessing Large Language Models for Enhanced Cognitive Diagnosis EduAgent: Generative Student Agents in Learning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-08T18:53:06.507323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:53:06.507323Z digest=sha256:a27581bba521ef840e9dc21eafe4548ad782a929c8034f77acfedcb0b8ec3d0e

Observation d3986956-b763-44fb-be51-381f24c40c56 · inbound

LLM-Powered AI Agent Systems and Their Applications in Industry cites this paper.

LLM-Powered AI Agent Systems and Their Applications in Industry EduAgent: Generative Student Agents in Learning

Reference 71

Resolution
metadata mismatch
arxiv_id, observed 2026-05-22T14:06:37.960209Z

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=2026-05-22T14:05:54.535411Z digest=sha256:c38e1ffef205e24e33e7f59a70e4998921d6ed29b22d71a87d307bc9c675e183

Observation 6bcde4df-63ca-4b90-b00e-b1fc1ea42534 · inbound

From EduVisBench to EduVisAgent: A Benchmark and Multi-Agent Framework for Reasoning-Driven Pedagogical Visualization cites this paper.

From EduVisBench to EduVisAgent: A Benchmark and Multi-Agent Framework for Reasoning-Driven Pedagogical Visualization EduAgent: Generative Student Agents in Learning

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T14:57:42.992315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:57:42.992315Z digest=sha256:58b08ae2bd18f8008beeb75d41f02865c3ecafb4045a77ebd6a4c0c3d039220d

Observation 54f2a1c0-aca2-4078-a1ab-2e5133cddc6f · inbound

CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models cites this paper.

CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models EduAgent: Generative Student Agents in Learning

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T13:54:13.474998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:54:13.474998Z digest=sha256:25966bc13ca715a2c495327b20aad5bb2e1b1a831cd3b759086225e8a3066a00

Observation e1021d92-3deb-4147-9472-41baa17268e8 · inbound

Conversational Education at Scale: A Multi-LLM Agent Workflow for Procedural Learning and Pedagogic Quality Assessment cites this paper.

Conversational Education at Scale: A Multi-LLM Agent Workflow for Procedural Learning and Pedagogic Quality Assessment EduAgent: Generative Student Agents in Learning

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T19:28:17.224740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:28:17.224740Z digest=sha256:e91b109cd5a19927f396be19cc80310bd5d807bbcb70015cb372df73f38016a9

Observation cb7d2bc7-8fba-4ece-86ad-ab2b03e6167a · inbound

AgentSME for Simulating Diverse Communication Modes in Smart Education cites this paper.

AgentSME for Simulating Diverse Communication Modes in Smart Education EduAgent: Generative Student Agents in Learning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T04:46:56.395614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:46:56.395614Z digest=sha256:0106b14d9c0e3a2c433d0bfb1d02e8cc72ca0c882dd591a049e52d19a017f7fd

Observation 873feb0d-3334-401a-9961-6875aa279f8a · inbound

InqEduAgent: Adaptive AI Learning Partners with Gaussian Process Augmentation cites this paper.

InqEduAgent: Adaptive AI Learning Partners with Gaussian Process Augmentation EduAgent: Generative Student Agents in Learning

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T04:43:01.295858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:43:01.295858Z digest=sha256:f806e9a9e9733feda5ab52c2a8852ffb2898742bf04ddd63e75c2c8dc0ac3ea0

Observation 043964da-a988-4e67-9a35-4c1969d37af9 · inbound

FACET: Multi-Agent AI Supporting Teachers in Scaling Differentiated Learning for Diverse Students cites this paper.

FACET: Multi-Agent AI Supporting Teachers in Scaling Differentiated Learning for Diverse Students EduAgent: Generative Student Agents in Learning

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-25T07:15:27.856204Z

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=2026-05-25T07:13:14.696525Z digest=sha256:19ce45fc00941079b2b1bed4f524d75920338dce15fee975255c3671f4a2d3f0

Observation 38af0f3d-c8ab-4f83-a0d1-5755360265d0 · inbound

Beyond End-to-End Video Models: An LLM-Based Multi-Agent System for Educational Video Generation cites this paper.

Beyond End-to-End Video Models: An LLM-Based Multi-Agent System for Educational Video Generation EduAgent: Generative Student Agents in Learning

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-03T00:03:27.672907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:03:27.672907Z digest=sha256:93985ba7756027791ed5e43e9a4cada6f81352385d6a4f353ddd415efb227e6c

Observation d049a046-ec92-4aac-b4c1-1912994c2859 · inbound

BEAGLE: Behavior-Enforced Agent for Grounded Learner Emulation cites this paper.

BEAGLE: Behavior-Enforced Agent for Grounded Learner Emulation EduAgent: Generative Student Agents in Learning

Reference 50

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T07:10:43.207533Z

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=2026-05-16T07:09:29.814409Z digest=sha256:d285bdeacee03e6beda8e7ac7c358c09778a2698ef38bd07a3ccf23cf2c7be3b

Observation 1c97dd39-9201-418e-861c-d1f8bc368283 · inbound

Embedding Enhancement via Fine-Tuned Language Models for Learner-Item Cognitive Modeling cites this paper.

Embedding Enhancement via Fine-Tuned Language Models for Learner-Item Cognitive Modeling EduAgent: Generative Student Agents in Learning

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:08:00.709042Z

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=2026-05-13T17:07:19.254628Z digest=sha256:962f9ab144d620acd9d33528515239e02296e48ddce3f3d30785b5449fb6f621

Observation f665cc4e-168a-47b5-b914-dbcb1128f59e · inbound

CogEvolution: A Human-like Generative Educational Agent to Simulate Student's Cognitive Evolution cites this paper.

CogEvolution: A Human-like Generative Educational Agent to Simulate Student's Cognitive Evolution EduAgent: Generative Student Agents in Learning

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-10T10:49:55.975590Z

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=2026-05-10T10:48:54.955192Z digest=sha256:95954538d2be77b4526b0537016367827357fe46095fa7b6c717d9bc12243db1

Observation d04edc11-7ed3-4293-80f0-34fa4cf4d76f · inbound

Lect\=uraAgents: A Multi-Agent Framework for Adaptive Personalized AI-Assisted Learning and Embodied Teaching cites this paper.

Lect\=uraAgents: A Multi-Agent Framework for Adaptive Personalized AI-Assisted Learning and Embodied Teaching EduAgent: Generative Student Agents in Learning

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:28:44.580866Z

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=2026-06-27T04:07:53.880219Z digest=sha256:638caadccaccdc9b3a8af0512da6b80fbfec92fe4ffd2256010f5dd1f9fd910d