Paper Citation Record · LEDGER

Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs

As of 13 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2507.18668.

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

pith.paper-citation-record.v1
2507.18668 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:42:12.569361Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

32 of 32 outbound references displayed

verified exact1
verified fuzzy27
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a4996e8e-8ce5-4c5a-af00-37facd6224df · outbound

This paper cites Deep graph memory networks for forgetting- robust knowledge tracing.

Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs Deep graph memory networks for forgetting- robust knowledge tracing

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:12.966004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 747c64b6-b7d2-4d08-ad07-2e87258971c9 · outbound

This paper cites Higher-order clustering and pooling for graph neural networks.

Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs Higher-order clustering and pooling for graph neural networks

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:12.932744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 142534b8-51af-4354-8834-52d597559266 · outbound

This paper cites [Gao et al., 2023] Chen Gao, Yu Zheng, Nian Li, Yinfeng Li, Yingrong Qin, Jinghua Piao, Yuhan Quan, Jianxin Chang, Depeng Jin, Xiangnan He, and Yong Li.

Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs [Gao et al., 2023] Chen Gao, Yu Zheng, Nian Li, Yinfeng Li, Yingrong Qin, Jinghua Piao, Yuhan Quan, Jianxin Chang, Depeng Jin, Xiangnan He, and Yong Li

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:12.909985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2d602a46-bdb7-411f-b711-bb43e09540d6 · outbound

This paper cites an unresolved cited work.

Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:42:12.897758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e95ba911-b226-4130-b33b-e4897025af1f · outbound

This paper cites [Huang et al., 2021] Chao Huang, Huance Xu, Yong Xu, Peng Dai, Lianghao Xia, Mengyin Lu, Liefeng Bo, Hao Xing, Xiaoping Lai, and Yanfang Ye.

Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs [Huang et al., 2021] Chao Huang, Huance Xu, Yong Xu, Peng Dai, Lianghao Xia, Mengyin Lu, Liefeng Bo, Hao Xing, Xiaoping Lai, and Yanfang Ye

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:12.886585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b0cd3f1f-1efd-4c93-a46b-ce472e5e528b · outbound

This paper cites Kingma and Jimmy Ba.

Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs Kingma and Jimmy Ba

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:12.875174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 35b6ccb4-9077-42a4-8c95-dfdf0bc1481b · outbound

This paper cites Data- efficient fine-tuning for llm-based recommendation.

Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs Data- efficient fine-tuning for llm-based recommendation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:12.852746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6cdbd637-3074-4b2f-bec3-d2989f372661 · outbound

This paper cites Improving knowledge tracing via pre-training question embeddings.

Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs Improving knowledge tracing via pre-training question embeddings

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:12.841000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2e3d5af0-2975-4bc4-95c8-7ff441c8de50 · outbound

This paper cites pykt: A python library to benchmark deep learning based knowl- edge tracing models.

Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs pykt: A python library to benchmark deep learning based knowl- edge tracing models

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:12.829488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6bbd24e3-bf39-4aaf-9be5-b38d7b716a5c · outbound

This paper cites Enhancing deep knowledge tracing with auxiliary tasks.

Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs Enhancing deep knowledge tracing with auxiliary tasks

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:12.817816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f94bd004-8707-4d29-ab36-e99acb3d8a6c · outbound

This paper cites [Nakagawa et al., 2019] Hiromi Nakagawa, Yusuke Iwa- sawa, and Yutaka Matsuo.

Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs [Nakagawa et al., 2019] Hiromi Nakagawa, Yusuke Iwa- sawa, and Yutaka Matsuo

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:12.805961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9955e71e-fe84-49a8-bfd2-822a179548b5 · outbound

This paper cites Pytorch: An imperative style, high- performance deep learning library.

Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs Pytorch: An imperative style, high- performance deep learning library

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:12.780733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 81237cf5-0129-410e-81e5-1bdd73ab0bce · outbound

This paper cites Deep knowledge trac- ing.

Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs Deep knowledge trac- ing

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:12.768538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9c405f6f-129b-4079-8031-e859773a70e5 · outbound

This paper cites Saint+: Integrating temporal features for ednet correctness prediction.

Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs Saint+: Integrating temporal features for ednet correctness prediction

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:12.757358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e05827c6-3fd9-454e-90d9-698ee6c13753 · outbound

This paper cites [Sun et al., 2022] Jianwen Sun, Rui Zou, Ruxia Liang, Lu Gao, Sannyuya Liu, Qing Li, Kai Zhang, and Lulu Jiang.

Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs [Sun et al., 2022] Jianwen Sun, Rui Zou, Ruxia Liang, Lu Gao, Sannyuya Liu, Qing Li, Kai Zhang, and Lulu Jiang

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:12.745850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 600031fa-0a6e-43e4-889b-cb73677c0233 · outbound

This paper cites Introducing prob- lem schema with hierarchical exercise graph for knowl- edge tracing.

Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs Introducing prob- lem schema with hierarchical exercise graph for knowl- edge tracing

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:12.733385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a5f8cea2-da08-4930-a940-f59fd8c5a085 · outbound

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

Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs LLaMA: Open and Efficient Foundation Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T14:42:12.543279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff91aa4f-dcfa-4a9f-b66a-0804cf453047 · outbound

This paper cites Graph attention networks.

Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs Graph attention networks

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T14:42:12.546637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7e032e2-ace2-45aa-a022-87a2c6d87f0a · outbound

This paper cites Egat: Edge-featured graph attention network.

Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs Egat: Edge-featured graph attention network

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:12.702462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 472d5e8e-127d-40d9-ac7f-7e748b60c4df · outbound

This paper cites Self- supervised heterogeneous hypergraph network for knowl- edge tracing.

Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs Self- supervised heterogeneous hypergraph network for knowl- edge tracing

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:12.690404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d92ed7e8-72e1-4f31-8277-99e7246a5db7 · outbound

This paper cites Gikt: a graph-based interaction model for knowledge tracing.

Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs Gikt: a graph-based interaction model for knowledge tracing

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:12.679112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5b4043bf-54bb-4dcb-9704-4d22e359ca10 · outbound

This paper cites In- ductive matrix completion based on graph neural net- works.

Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs In- ductive matrix completion based on graph neural net- works

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:12.667983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6ccfbfba-1229-4955-9401-f29d563544fe · outbound

This paper cites Dynamic key-value memory networks for knowledge tracing.

Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs Dynamic key-value memory networks for knowledge tracing

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:12.656564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3703d989-ac38-4bdd-9713-29b57cf7c816 · outbound

This paper cites Yu, and Lifang He.

Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs Yu, and Lifang He

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:12.863638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 57474853-1537-4e1c-b6ca-6489267b6fc8 · outbound

This paper cites Inhomogeneous Social Rec- ommendation with Hypergraph Convolutional Networks.

Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs Inhomogeneous Social Rec- ommendation with Hypergraph Convolutional Networks

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:12.645131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d698cc44-95a4-4fb8-9659-1be1678502a7 · outbound

This paper cites Deep graph li- brary: A graph-centric, highly-performant package for graph neural networks,.

Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs Deep graph li- brary: A graph-centric, highly-performant package for graph neural networks,

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:12.713775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7b3f7847-c4eb-492f-bd0c-516d7c29eebe · outbound

This paper cites A self-attentive model for knowledge tracing.

Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs A self-attentive model for knowledge tracing

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:12.793491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ac9b1032-4392-471e-9bed-29619fbd3877 · outbound

This paper cites [Cui et al., 2024] Chaoran Cui, Yumo Yao, Chunyun Zhang, Hebo Ma, Yuling Ma, Zhaochun Ren, Chen Zhang, and James Ko.

Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs [Cui et al., 2024] Chaoran Cui, Yumo Yao, Chunyun Zhang, Hebo Ma, Yuling Ma, Zhaochun Ren, Chen Zhang, and James Ko

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:12.955159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e7bbc46e-0898-47e7-9289-3ebc55f2f813 · outbound

This paper cites Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System.

Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System

Reference 2021

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:42:12.619917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 15bb8551-bc61-46fa-b9ce-9f1380bd4761 · outbound

This paper cites [Gao et al., 2022] Chen Gao, Xiang Wang, Xiangnan He, and Yong Li.

Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs [Gao et al., 2022] Chen Gao, Xiang Wang, Xiangnan He, and Yong Li

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:12.921354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ee5446ed-f262-491d-b7c7-1bc4ee1d7c17 · outbound

This paper cites Continuously Differentiable Exponential Linear Units.

Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs Continuously Differentiable Exponential Linear Units

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T14:42:12.466824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa2a489e-d280-4c47-b358-21a51e2fd827 · outbound

This paper cites Online knowledge level tracking with data- driven student models and collaborative filtering.

Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs Online knowledge level tracking with data- driven student models and collaborative filtering

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:12.944145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.