Paper Citation Record · LEDGER

Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features

As of 18 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 1 inbound Pith citation observation for arXiv:2505.09287.

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

pith.paper-citation-record.v1
2505.09287 v2

Coverage vector

measured 74 of 74 reference resolution

Typed states for the displayed outbound observations.

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measured 75 of 75 standing notices

One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T21:39:00.332967Z

Reference resolution

74 of 74 outbound references displayed

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External citation measurements

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Outbound references

Observation c2b3c77d-edcf-40b8-8639-2f2db41d2a1c · outbound

This paper cites Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features.

Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features

Reference 1

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Observation 427f165d-f897-4b33-a001-8b4b28c9d5de · outbound

This paper cites higher-score students.

Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features higher-score students

Reference 2

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Observation eac6e1a3-3969-4da7-854d-77e16148f7a0 · outbound

This paper cites risk ranking.

Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features risk ranking

Reference 3

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Observation ad291af8-f6f9-4a94-a8e6-ba048173eb28 · outbound

This paper cites By employing a regression model, the extent of these differences can be explicitly learned, allowing the model to capture and utilize them.

Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features By employing a regression model, the extent of these differences can be explicitly learned, allowing the model to capture and utilize them

Reference 4

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Observation 0e951adb-465c-474c-a916-89b0c023585b · outbound

This paper cites However, this complicates identifying no-risk students who are close to being at-risk or at-risk students who are closer to no-risk.

Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features However, this complicates identifying no-risk students who are close to being at-risk or at-risk students who are closer to no-risk

Reference 5

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Observation a20086fd-8267-4b0a-9150-c7ad576303a4 · outbound

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Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Unresolved cited work

Reference 6

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Reference 7

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This paper cites pairwise difference scores.

Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features pairwise difference scores

Reference 8

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This paper cites operation name.

Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features operation name

Reference 9

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Observation 64463fe6-c815-46e2-87b8-dbcef263fa53 · outbound

This paper cites In this study, we evaluate Top-n precision with four different settings: n ={5, 10, 15, At-risk}.

Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features In this study, we evaluate Top-n precision with four different settings: n ={5, 10, 15, At-risk}

Reference 10

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Observation 3602ec78-9b70-46ca-b708-aaa90e2dc2de · outbound

This paper cites To compute nDCG, each student must be assigned a value.

Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features To compute nDCG, each student must be assigned a value

Reference 11

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Observation b341faa1-daa4-4672-9eea-bcca7b37be4f · outbound

This paper cites It plots Top-n precision (vertical axis) against Top-n recall (horizontal axis) as n varies, illus- trating their relationship.

Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features It plots Top-n precision (vertical axis) against Top-n recall (horizontal axis) as n varies, illus- trating their relationship

Reference 12

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Observation 81b36bee-1449-467d-a258-d483f3545f1f · outbound

This paper cites Federated Learning.

Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Federated Learning

Reference 13

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Observation 20fe6be7-5809-477f-9c70-2068329dd40e · outbound

This paper cites With Differential Features.

Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features With Differential Features

Reference 14

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Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Unresolved cited work

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Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Abdulraheem, R

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Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Almoubayyed, S

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Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Altabrawee, O

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Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Unresolved cited work

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Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Pairwise Difference Learning for Classification

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Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Boulanger and V

Reference 26

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Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Brusilovsky, S

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Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Generalisable Methods for Early Prediction in Interactive Simulations for Education

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Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Csurka, C

Reference 30

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Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Student Performance Prediction Using Dynamic Neural Models

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Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Flanagan and H

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Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Hlosta, Z

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Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features J ¨arvelin and J

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Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Kairouz, H

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Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Kanamori, T

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Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

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Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Keskin and H

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Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Klose, V

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Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Koutcheme, S

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Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance

Reference 46

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Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features FedBN: Federated Learning on Non-IID Features via Local Batch Normalization

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Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features McMahan, E

Reference 53

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Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features E2Vec: Feature Embedding with Temporal Information for Analyzing Student Actions in E-Book Systems

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Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Ogata, C

Reference 55

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This paper cites Oldenhof, G.

Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Oldenhof, G

Reference 56

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Observation f698512e-3d25-477b-b43c-f81e8be9e49d · outbound

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Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:39:00.443702Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c79958e4-97eb-4b50-ab42-9d6571fe08c3 · outbound

This paper cites Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMs.

Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMs

Reference 60

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This paper cites Adaptive Federated Optimization.

Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Adaptive Federated Optimization

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-15T21:38:57.505310Z

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This paper cites Rohani, K.

Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Rohani, K

Reference 62

Resolution: verified exact; doi, observed 2026-08-15T21:38:58.203541Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9bb946f8-81b2-4669-b504-23abe137895c · outbound

This paper cites Shimada and S.

Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Shimada and S

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:00.426381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e4776861-4a23-4d07-8915-1d41c1d868fb · outbound

This paper cites an unresolved cited work.

Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Unresolved cited work

Reference 64

Resolution: verified exact; doi, observed 2026-08-15T21:38:58.010142Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c91fdf79-915a-47eb-b038-6a8642be88c6 · outbound

This paper cites an unresolved cited work.

Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:39:00.411673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 32ff16ff-8acd-4cb2-8788-3aba684361a9 · outbound

This paper cites A Comparative Analysis of Student Performance Predictions in Online Courses using Heterogeneous Knowledge Graphs.

Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features A Comparative Analysis of Student Performance Predictions in Online Courses using Heterogeneous Knowledge Graphs

Reference 67

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:38:59.382939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e5138c67-4f84-4527-894d-48c3394b1115 · outbound

This paper cites Tynes, W.

Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Tynes, W

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-15T21:38:57.625985Z

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Unavailable: canonical work link unavailable.

Observation eae7b72d-bc0d-4426-a594-f86a2951aa1d · outbound

This paper cites van Haastrecht, M.

Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features van Haastrecht, M

Reference 69

Resolution: verified exact; doi, observed 2026-08-15T21:38:57.860361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 428423fd-7511-4dab-a63e-4931e8007241 · outbound

This paper cites Towards Generalizable Detection of Urgency of Discussion Forum Posts.

Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Towards Generalizable Detection of Urgency of Discussion Forum Posts

Reference 70

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:38:59.295445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ca830082-2564-4b30-b8bb-b2283ed3f8c6 · outbound

This paper cites Detecting Unsuccessful Students in Cybersecurity Exercises in Two Different Learning Environments.

Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Detecting Unsuccessful Students in Cybersecurity Exercises in Two Different Learning Environments

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-15T21:38:57.642119Z

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Unavailable: canonical work link unavailable.

Observation 3b478c5b-32f9-4234-a173-fbb1a7e10e1b · outbound

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Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Unresolved cited work

Reference 72

Resolution: verified exact; doi, observed 2026-08-15T21:38:57.796100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6557179a-b4d2-4527-986d-889317786b84 · outbound

This paper cites Zheng, H.

Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Zheng, H

Reference 73

Resolution: verified exact; doi, observed 2026-08-15T21:38:57.780281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f0e0590e-4027-4119-b026-9374d58cbbf1 · outbound

This paper cites an unresolved cited work.

Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Unresolved cited work

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-15T21:38:57.724750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 763e5333-6076-4c05-b50d-fbac30bd1322 · outbound

This paper cites an unresolved cited work.

Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Unresolved cited work

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-15T21:38:57.603152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6ea7a1f-93d7-43ae-a521-365f21c108c7 · outbound

This paper cites https://doi.org/10.5281/zenodo.6853063.

Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features https://doi.org/10.5281/zenodo.6853063

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-15T21:38:57.495336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94bf88ee-6c27-4277-a797-c99907f0e5ab · outbound

This paper cites an unresolved cited work.

Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Unresolved cited work

Reference 2023

Resolution: verified exact; doi, observed 2026-08-15T21:38:58.324073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

Observation c2b3c77d-edcf-40b8-8639-2f2db41d2a1c · inbound