Paper Citation Record · LEDGER

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance

As of 20 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 1 inbound Pith citation observation for arXiv:2412.14526.

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

pith.paper-citation-record.v1
2412.14526 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:13:36.836547Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:38:57.214582Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T12:16:17.039197Z

Reference resolution

60 of 60 outbound references displayed

verified exact16
verified fuzzy4
unresolved32
parse uncertain0
malformed identifier2
metadata mismatch6

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 05053c23-fca7-4156-93cf-53d0d078ed56 · outbound

This paper cites an unresolved cited work.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Unresolved cited work

Reference 1

Resolution: verified exact; doi, observed 2026-08-11T12:13:38.116944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ebf563b7-84a1-416b-888f-ce98413d6a71 · outbound

This paper cites an unresolved cited work.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Unresolved cited work

Reference 2

Resolution: verified exact; doi, observed 2026-08-11T12:13:37.955450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a7df6207-12df-43ef-a85e-cffde1abc398 · outbound

This paper cites an unresolved cited work.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Unresolved cited work

Reference 3

Resolution: verified exact; doi, observed 2026-08-11T12:13:37.942669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 324b46f4-092e-466c-8892-66c461dad704 · outbound

This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Neural Machine Translation by Jointly Learning to Align and Translate

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T12:13:35.572136Z

Source-reported events for the cited work

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Observation d1eed0f6-cbaf-4870-a9f2-c3617f78054a · outbound

This paper cites Constrained-degree percolation in random environment.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Constrained-degree percolation in random environment

Reference 5

Resolution: malformed identifier; local_arxiv, observed 2026-08-11T12:13:39.584090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 66404923-45a5-45fd-b195-602bb3dc94f2 · outbound

This paper cites Simard, and Paolo Frasconi.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Simard, and Paolo Frasconi

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T12:13:35.634867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f68ce714-dd26-453b-8e87-32c21a80cf34 · outbound

This paper cites an unresolved cited work.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Unresolved cited work

Reference 7

Resolution: verified exact; raw_fallback, observed 2026-08-11T12:13:39.566352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a4c54184-3461-4ee2-b4c4-ddaa87fa7a8f · outbound

This paper cites an unresolved cited work.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Unresolved cited work

Reference 8

Resolution: verified exact; doi, observed 2026-08-11T12:13:37.921724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2f7b034d-84a6-4ca7-808c-038d94ef9a1f · outbound

This paper cites an unresolved cited work.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Unresolved cited work

Reference 9

Resolution: verified exact; doi, observed 2026-08-11T12:13:37.907922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bd8f5c5b-181b-4e6e-b2f1-fcdd1dd8db15 · outbound

This paper cites an unresolved cited work.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T12:13:35.655728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6ada04d-bbe2-4a97-9bee-fde586e729d7 · outbound

This paper cites an unresolved cited work.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Unresolved cited work

Reference 11

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Source-reported events for the cited work

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Observation 312711b5-f986-496e-9e00-6c02be2bb703 · outbound

This paper cites an unresolved cited work.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Unresolved cited work

Reference 12

Resolution: verified exact; doi, observed 2026-08-11T12:13:37.887012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation aa624d19-2f74-4d17-8a96-b9e4afe86d01 · outbound

This paper cites an unresolved cited work.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:13:40.262547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 25eac0bd-e3bd-4bb2-a59d-e9877a4c83c1 · outbound

This paper cites an unresolved cited work.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:13:40.250338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5df7b802-29ca-4002-982c-2e35d61cf85a · outbound

This paper cites an unresolved cited work.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Unresolved cited work

Reference 15

Resolution: verified exact; doi, observed 2026-08-11T12:13:37.688873Z

Source-reported events for the cited work

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Observation 79ad38dd-5ab5-4296-85ad-4a1b10706ac6 · outbound

This paper cites Maybank, and Dacheng Tao.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Maybank, and Dacheng Tao

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T12:13:35.933021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61aacc10-93d2-4f1c-be6d-284cf6f4c64e · outbound

This paper cites Alamri, Ranim S.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Alamri, Ranim S

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 477b3f0b-4fd4-4765-9efa-05b7ab4bd9d5 · outbound

This paper cites an unresolved cited work.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Unresolved cited work

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b833247f-2706-4975-89fa-5c6559f05a7c · outbound

This paper cites Ajanovski, Mirela Gutica, Timo Hynninen, Antti Knutas, Juho Leinonen, Chris Messom, and Soohyun Nam Liao.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Ajanovski, Mirela Gutica, Timo Hynninen, Antti Knutas, Juho Leinonen, Chris Messom, and Soohyun Nam Liao

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T12:13:35.947336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c16b1f9b-5111-47a9-83b6-ecb0fd6888cc · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Distilling the Knowledge in a Neural Network

Reference 20

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Source-reported events for the cited work

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Observation 8af6ba6b-02de-4601-b854-12fbd8339df0 · outbound

This paper cites an unresolved cited work.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Unresolved cited work

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c277eabc-317a-488e-aa93-1f697b723dfd · outbound

This paper cites an unresolved cited work.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T12:13:35.960484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 776aae10-0970-43ab-a2c8-64a5517a2d26 · outbound

This paper cites an unresolved cited work.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:13:40.223610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b0399024-1df0-423b-a4d2-c90d202bf4bb · outbound

This paper cites an unresolved cited work.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T12:13:36.009077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06c571c3-1858-43be-9ae9-87c7466508f0 · outbound

This paper cites GritNet: Student Performance Prediction with Deep Learning.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance GritNet: Student Performance Prediction with Deep Learning

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-11T12:13:37.554689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 93013123-aa18-4ea2-8591-10e25d3ae689 · outbound

This paper cites an unresolved cited work.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:13:40.140460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 872c0152-68c1-4e61-9cdc-01aee59e9df9 · outbound

This paper cites an unresolved cited work.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:13:40.002106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3a69766a-b976-47eb-afa8-c11a708b6437 · outbound

This paper cites Lopez Z, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, and Atsushi Shimada.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Lopez Z, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, and Atsushi Shimada

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:13:39.965060Z

Source-reported events for the cited work

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Observation 34a46fe0-6d88-41ac-98f7-f052716080ed · outbound

This paper cites Effective Approaches to Attention-based Neural Machine Translation.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Effective Approaches to Attention-based Neural Machine Translation

Reference 29

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Source-reported events for the cited work

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Observation aa8081be-1d38-4161-96f0-40661b0a0efa · outbound

This paper cites an unresolved cited work.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Unresolved cited work

Reference 30

Resolution: verified exact; doi, observed 2026-08-11T12:13:37.535211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 36147119-46c2-4413-8315-2863fa73f987 · outbound

This paper cites an unresolved cited work.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:13:39.951397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 520b3df0-37ea-4d49-b601-008a1485e6cb · outbound

This paper cites an unresolved cited work.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:13:39.937059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5c1ecc32-3367-4430-93ec-3efabc29493c · outbound

This paper cites an unresolved cited work.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:13:39.919059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 925f4e9e-6e25-4e1c-a9ca-ce0c8068c65a · outbound

This paper cites an unresolved cited work.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Unresolved cited work

Reference 34

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Source-reported events for the cited work

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Observation 21de6958-bf59-4607-98fc-80c9419161ad · outbound

This paper cites an unresolved cited work.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:13:39.873837Z

Source-reported events for the cited work

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Observation bb311ce0-d06b-44c4-8464-a40a9a1de87e · outbound

This paper cites an unresolved cited work.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Unresolved cited work

Reference 36

Resolution: verified exact; doi, observed 2026-08-11T12:13:37.276233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d57ad579-a12f-4196-9a73-436b1ce6fdbf · outbound

This paper cites an unresolved cited work.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Unresolved cited work

Reference 37

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Source-reported events for the cited work

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Observation 8aa3f06b-ec31-406c-b94e-0cf1f65dc1b8 · outbound

This paper cites In Proceedings of the 25th International Con- ference on Computers in Education, ICCE 2017 - Main Conference Pro- ceedings.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance In Proceedings of the 25th International Con- ference on Computers in Education, ICCE 2017 - Main Conference Pro- ceedings

Reference 38

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 430c77eb-002b-4034-80ba-1ce0e261e992 · outbound

This paper cites an unresolved cited work.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Unresolved cited work

Reference 39

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Source-reported events for the cited work

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Observation 7c580af9-4c22-47e3-8279-d4cb890cd14c · outbound

This paper cites Teaching Where to Look: Attention Similarity Knowledge Distillation for Low Resolution Face Recognition.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Teaching Where to Look: Attention Similarity Knowledge Distillation for Low Resolution Face Recognition

Reference 40

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1406bcaa-1207-4a04-a3eb-68fd41c57ff9 · outbound

This paper cites Sequence to Sequence Learning with Neural Networks.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Sequence to Sequence Learning with Neural Networks

Reference 41

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Source-reported events for the cited work

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Observation 69b3ca65-5ad1-45a8-aa90-7e5dc81f05b3 · outbound

This paper cites Francisco Segura Altamirano.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Francisco Segura Altamirano

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:13:39.859309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a01b49e2-8d1d-4d98-9b37-a7760d5acd5b · outbound

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

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Detecting Unsuccessful Students in Cybersecurity Exercises in Two Different Learning Environments

Reference 43

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4f787490-426f-4696-8ee0-47f31ce4e890 · outbound

This paper cites FitNets: Hints for Thin Deep Nets.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance FitNets: Hints for Thin Deep Nets

Reference 44

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Source-reported events for the cited work

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Observation e4f1f7af-1d87-4c72-acd9-458eb6132b34 · outbound

This paper cites Attention Distillation: self-supervised vision transformer students need more guidance.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Attention Distillation: self-supervised vision transformer students need more guidance

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T12:13:36.639480Z

Source-reported events for the cited work

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Observation f6898ac6-1220-4358-95dd-0ec0d5572ab8 · outbound

This paper cites an unresolved cited work.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Unresolved cited work

Reference 46

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f56e3572-b75b-4ad7-a6a5-0f58bbca0726 · outbound

This paper cites an unresolved cited work.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Unresolved cited work

Reference 47

Resolution: verified exact; doi, observed 2026-08-11T12:13:37.118573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation caea1b8d-c855-4d15-9f16-d649b575e14e · outbound

This paper cites an unresolved cited work.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:13:39.800721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a860f966-41e0-445f-9e16-1571486bda61 · outbound

This paper cites an unresolved cited work.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Unresolved cited work

Reference 49

Resolution: verified exact; doi, observed 2026-08-11T12:13:36.977480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4052a914-7ad8-46b9-87e0-de7dc9930b37 · outbound

This paper cites an unresolved cited work.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Unresolved cited work

Reference 50

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Source-reported events for the cited work

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Observation 389d4d26-9ed6-44ed-912a-b46fed5ccfa5 · outbound

This paper cites Aljohani, Guanliang Chen, and Dragan Gasevic.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Aljohani, Guanliang Chen, and Dragan Gasevic

Reference 51

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0607e72a-fa82-4818-bc4f-80c537650330 · outbound

This paper cites an unresolved cited work.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Unresolved cited work

Reference 52

Resolution: metadata mismatch; raw_fallback, observed 2026-08-11T12:13:38.195230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 92fa46d3-1804-419b-9215-62161ce3f049 · outbound

This paper cites Delving Deeper into MOOC Student Dropout Prediction.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Delving Deeper into MOOC Student Dropout Prediction

Reference 56

Resolution: metadata mismatch; local_arxiv, observed 2026-08-11T12:13:37.106072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4fc4c227-d3ff-4131-99d6-dddad6f22033 · outbound

This paper cites an unresolved cited work.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:13:39.706634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cee5ee50-4855-4213-8b30-3824389e4db4 · outbound

This paper cites an unresolved cited work.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Unresolved cited work

Reference 444

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:13:39.890927Z

Source-reported events for the cited work

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Observation 6af119a1-e40e-444e-a64e-d7be6135cd1e · outbound

This paper cites Wallach, Rob Fergus, S.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Wallach, Rob Fergus, S

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:13:40.273508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8dbd83b8-fe24-447e-b388-5492f1a795de · outbound

This paper cites Computational Intelligence and Neuro- science 2018, 1 (10 2018), 6347186.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Computational Intelligence and Neuro- science 2018, 1 (10 2018), 6347186

Reference 2018

Resolution: verified exact; doi, observed 2026-08-11T12:13:37.576071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3c495ad1-5d81-42ef-b976-2991995f8e7a · outbound

This paper cites Applied Soft Computing 106 (7 2021), 107355.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Applied Soft Computing 106 (7 2021), 107355

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-11T12:13:35.814569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60a8705f-a3f8-4d67-b613-86c9e3e49864 · outbound

This paper cites In Proceed- ings of the 24th Australasian Computing Education Conference (ACE ’22) , Judy Sheard and Paul Denny (Eds.).

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance In Proceed- ings of the 24th Australasian Computing Education Conference (ACE ’22) , Judy Sheard and Paul Denny (Eds.)

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-11T12:13:36.179233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a3117be-86fe-4836-92a3-e8fc8d8372b8 · outbound

This paper cites an unresolved cited work.

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Unresolved cited work

Reference 5898

Resolution: unresolved; no resolver link, observed 2026-08-11T12:13:36.614754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 2ae73243-f4ae-4a68-ba20-16454eb75984 · inbound

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

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

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:38:58.614508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.