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Paper Citation Record · LEDGER

Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing

As of 21 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 7 inbound Pith citation observations for arXiv:2412.03097.

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

pith.paper-citation-record.v1
2412.03097 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:50:44.191695Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:55:48.045850Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T00:39:36.052997Z

Reference resolution

24 of 24 outbound references displayed

  • verified exact0
  • verified fuzzy12
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 641294e1-0862-4ce6-a90e-4f416d975bde · outbound

This paper cites A comprehensive survey on graph neuralnetworks.

Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing A comprehensive survey on graph neuralnetworks

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-11T22:50:44.604102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T22:50:44.110191Z digest=sha256:c2449806630b6b3cc17fb494a1eb386b78354d1dfb29c9db250a58806108a14a

Observation 0a4cc6f4-3555-4f5f-bf16-a0c41883f6a2 · outbound

This paper cites Advances in collaborative filtering.

Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing Advances in collaborative filtering

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-11T22:50:44.592718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T22:50:44.113930Z digest=sha256:8eb350b1f5219f34a0ae6bcbce9787f375d1b96f1c0d7a3db561c3d4e67d03db

Observation 969b5310-d7be-4bf4-a132-da7e7f298d72 · outbound

This paper cites Advanced RAG Models with Graph Structures: Optimizing Complex Knowledge Reasoning and Text Generation.

Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing Advanced RAG Models with Graph Structures: Optimizing Complex Knowledge Reasoning and Text Generation

Reference 3

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no resolver link, observed 2026-08-11T22:50:44.117043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:50:44.117043Z digest=sha256:7b92acf00b9a92561fac87a08696721807534c1a712f303881e13e18f9d78357

Observation e2cb5828-dc4f-4083-a608-91da80794928 · outbound

This paper cites Adaptive Cache Management for Complex Storage Systems Using CNN-LSTM-Based Spatiotemporal Prediction.

Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing Adaptive Cache Management for Complex Storage Systems Using CNN-LSTM-Based Spatiotemporal Prediction

Reference 4

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no resolver link, observed 2026-08-11T22:50:44.120868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:50:44.120868Z digest=sha256:3fedade4acd36aa9e98769b18e618b84c1bc3f64bdd35de604d8403e072f4672

Observation e37689b2-9f9a-4ab6-bc79-6f6ae0c96438 · outbound

This paper cites Enhancing Recommendation Systems with Multi-Modal Transformers in Cross-Domain Scenarios,.

Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing Enhancing Recommendation Systems with Multi-Modal Transformers in Cross-Domain Scenarios,

Reference 5

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raw_fallback, observed 2026-08-11T22:50:44.581679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T22:50:44.124738Z digest=sha256:959f6e488dd31e80b1c18762a63e669f5352a88717bf883717ca5b327b7463fa

Observation 7201d1e6-2e37-41a6-98fa-22d479df27cb · outbound

This paper cites A Combined Encoder and Transformer Approach for Coherent and High-Quality Text Generation.

Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing A Combined Encoder and Transformer Approach for Coherent and High-Quality Text Generation

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:50:44.128565Z digest=sha256:319df7b34316b504239fa9c4f30d0f6ff33be4670880a3dedf1eb018e6b693ae

Observation 35201693-840a-4ada-82d5-2ab590f983e7 · outbound

This paper cites Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification.

Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification

Reference 7

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source=pdf_text observed=2026-08-11T22:50:44.132539Z digest=sha256:b769fc7431a4b422e09ac0da5d54a71ecd2be9aa9cb11d081335135bfad308b6

Observation 9045a7f5-3aa7-40ba-97ff-da339c857fde · outbound

This paper cites Financial Risk Analysis Using Integrated Data and Transformer-Based Deep Learning,.

Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing Financial Risk Analysis Using Integrated Data and Transformer-Based Deep Learning,

Reference 8

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no resolver link, observed 2026-08-11T22:50:44.136357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:50:44.136357Z digest=sha256:5cb7211415ef79440958f9582a1b60b457c87355814ec456e5513b797ef4eb3e

Observation 0303a912-3453-4d2d-992e-d0fc6d7e6b31 · outbound

This paper cites Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining.

Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining

Reference 9

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source=pdf_text observed=2026-08-11T22:50:44.139706Z digest=sha256:7546236601fed62c6e08b4ddd4801d2799fbb58a222d992462b38a6ff94acf1d

Observation 92e38247-fa81-462f-9709-eb051258f911 · outbound

This paper cites Time-Series Load Prediction for Cloud Resource Allocation Using Recurrent Neural Networks,.

Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing Time-Series Load Prediction for Cloud Resource Allocation Using Recurrent Neural Networks,

Reference 10

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raw_fallback, observed 2026-08-11T22:50:44.564753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T22:50:44.143293Z digest=sha256:159e5e54095e88e7785495080bd11b3ae4dfe47d67c79473a62597dfe3cc7ac1

Observation 3f97b203-9aed-4c1b-b72d-2f0b8f492fa9 · outbound

This paper cites Emotion-Aware Interaction Design in Intelligent User Interface Using Multi-Modal Deep Learning.

Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing Emotion-Aware Interaction Design in Intelligent User Interface Using Multi-Modal Deep Learning

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:50:44.146461Z digest=sha256:202855803e49e3a424b096e6991f347f58757b44ac440c649e27cd6b1bed4bbd

Observation 2461b7c9-febc-4d2d-bb1c-3ece9fc3351d · outbound

This paper cites Analyze the Impact of the Epidemic on New York Taxis by Machine Learning Algorithms and Recommendations for Optimal Prediction Algorithms,.

Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing Analyze the Impact of the Epidemic on New York Taxis by Machine Learning Algorithms and Recommendations for Optimal Prediction Algorithms,

Reference 12

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raw_fallback, observed 2026-08-11T22:50:44.554460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T22:50:44.150138Z digest=sha256:f43592c80f547d12ff6d27f5a36e2d3729016431256331b065bf4c1ac2f664b4

Observation 304f1b92-025f-489d-82c5-aa0b17ace291 · outbound

This paper cites Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.

Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing Graph Neural Networks Exponentially Lose Expressive Power for Node Classification

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:50:44.153495Z digest=sha256:08085d215ef207abac28e728fa236217160867055b0160ea4ef9a3a3fab9948e

Observation d76f31ef-85e9-46ed-9839-bd95598516f8 · outbound

This paper cites Modeling user exposure in recommendation.

Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing Modeling user exposure in recommendation

Reference 14

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raw_fallback, observed 2026-08-11T22:50:44.543871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T22:50:44.157192Z digest=sha256:28d29ba2664363a949f323451c41b76e79f3fa03cbb625799c09fee022ced73e

Observation 0de62cea-6da7-49af-a421-12e301eeaac4 · outbound

This paper cites Calibration Learning for Few-shot Novel Product Description,.

Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing Calibration Learning for Few-shot Novel Product Description,

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-11T22:50:44.532434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T22:50:44.160519Z digest=sha256:5c7a5005e4fa6fdfaa3e0eee83e91af6f2b71fd9281585ddf8132c739cc8467d

Observation cc228f3a-c6cc-497a-b096-55100c3aba5f · outbound

This paper cites Improving the RAG- based Personalized Discharge Care System by Introducing the Memory Mechanism.

Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing Improving the RAG- based Personalized Discharge Care System by Introducing the Memory Mechanism

Reference 16

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no resolver link, observed 2026-08-11T22:50:44.164261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:50:44.164261Z digest=sha256:18c5ca2f8ba0515d78217cae396b81dad677eaf242079d39668fb14331acd1be

Observation 732a1bb4-d21b-48a4-9396-e94ef6a7f669 · outbound

This paper cites Survival prediction across diverse cancer types using neural networks,.

Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing Survival prediction across diverse cancer types using neural networks,

Reference 17

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raw_fallback, observed 2026-08-11T22:50:44.521180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T22:50:44.167558Z digest=sha256:f84872e8eb10b0bb8fea84fbd0303e12d890996ffe842086ecea0f2f42242cb8

Observation 0fda3d79-54bf-4662-ab1c-5f0041996134 · outbound

This paper cites Research on Large Scene Adaptive Feature Extraction Based on Deep Learning.

Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing Research on Large Scene Adaptive Feature Extraction Based on Deep Learning

Reference 18

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:50:44.170868Z digest=sha256:e8baf41123315c6e4f308921b96847c2475d08ce7733edb5d24cdbec7325e82d

Observation 9a339832-2450-461e-97b4-ed19e4dcd149 · outbound

This paper cites BPR: Bayesian Personalized Ranking from Implicit Feedback.

Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing BPR: Bayesian Personalized Ranking from Implicit Feedback

Reference 19

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no resolver link, observed 2026-08-11T22:50:44.174222Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:50:44.174222Z digest=sha256:def2b84a7b40da3ac96f5f368b1040357b13bdc238de08c15253b05b6353aaf0

Observation e2c3fcf4-3652-4753-b4b2-73aee5638db5 · outbound

This paper cites Comparison of Tree-Based Feature Selection Algorithms on Biological Omics Dataset,.

Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing Comparison of Tree-Based Feature Selection Algorithms on Biological Omics Dataset,

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-11T22:50:44.510509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T22:50:44.178031Z digest=sha256:3dd693576629c1a5ac0c4037fd862da1bee00b216d0c3a666a98cf2002272728

Observation 66aa6768-df3a-471a-86ff-8daa755fdebd · outbound

This paper cites Adaptive ReceptiveField U-ShapedTemporalConvolutionalNetworkfor Vulgar ActionSegmentation,.

Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing Adaptive ReceptiveField U-ShapedTemporalConvolutionalNetworkfor Vulgar ActionSegmentation,

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-11T22:50:44.500196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T22:50:44.181598Z digest=sha256:58f0d0854271160b52a7160465adebbc65a8bf62db8c16282bef61ea92a570e7

Observation c4d118ab-58ed-47cf-8c21-ff9770587c05 · outbound

This paper cites Neural graph collaborative filtering.

Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing Neural graph collaborative filtering

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-11T22:50:44.489831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T22:50:44.185038Z digest=sha256:c4b251cfdf640bbb899f74ab40c4979c8d0f1fa78cbb5b54b6ffa795b02b5e90

Observation a6364e55-250c-4c4d-bdcd-df89b8f04263 · outbound

This paper cites LightGCN: Simplifying and powering graph convolution network for recommendation.

Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing LightGCN: Simplifying and powering graph convolution network for recommendation

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-11T22:50:44.477649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T22:50:44.188511Z digest=sha256:433ca0135ef1cfec11bf37a9921d37661564fa79d517197e0dfc4b8ac26a0bd7

Observation 475a9691-a1be-4741-9a7e-c8d3661dafa0 · outbound

This paper cites Fine-Grained Imbalanced Leukocyte Classification With Global-Local Attention Transformer,.

Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing Fine-Grained Imbalanced Leukocyte Classification With Global-Local Attention Transformer,

Reference 24

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:50:44.191695Z digest=sha256:096176034f3f2b3c2508bd92e6df3effeacbdc349bb6fd182a0aa7aa948aa982

Pith citing papers

Observation 475e16ca-928e-42c1-bf72-66b35d2a474f · inbound

Dynamic User Interface Generation for Enhanced Human-Computer Interaction Using Variational Autoencoders cites this paper.

Dynamic User Interface Generation for Enhanced Human-Computer Interaction Using Variational Autoencoders Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing

Reference 23

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no resolver link, observed 2026-08-11T12:12:20.100276Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:12:20.100276Z digest=sha256:ad01791849946ca02f50d02c0a1a6e2563e85ed43aaf4ced7968e510680895b5

Observation bc7c5c36-1b49-4c06-9585-d00ed01c9d77 · inbound

Machine Learning Techniques for Pattern Recognition in High-Dimensional Data Mining cites this paper.

Machine Learning Techniques for Pattern Recognition in High-Dimensional Data Mining Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing

Reference 21

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no resolver link, observed 2026-08-11T11:18:31.290025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:18:31.290025Z digest=sha256:64d458409f790a299353f4dc96d2ba55c3b6718cdda16a3f817474e04057d5db

Observation b946952a-e40c-4462-bf3b-867c3c6b235b · inbound

Adaptive User Interface Generation Through Reinforcement Learning: A Data-Driven Approach to Personalization and Optimization cites this paper.

Adaptive User Interface Generation Through Reinforcement Learning: A Data-Driven Approach to Personalization and Optimization Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing

Reference 14

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no resolver link, observed 2026-08-11T10:18:14.590914Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:18:14.590914Z digest=sha256:0a0f6c27f04a61fa3dba71a47ea69c49436914abd4d3aeca5e2e94b66dff73aa

Observation ba10ba14-915d-4d13-b3e2-8473f512b40e · inbound

Dynamic Scheduling Strategies for Resource Optimization in Computing Environments cites this paper.

Dynamic Scheduling Strategies for Resource Optimization in Computing Environments Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing

Reference 19

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unresolved
no resolver link, observed 2026-08-11T05:40:19.771118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:40:19.771118Z digest=sha256:8eb452663eecc198b2be3c38e1567cc9a7b2d5aeaca6db1f8f1b8b850fcd0927

Observation da5a2b00-ae72-4e94-9c4a-c89c9d4ee681 · inbound

Computer Vision-Driven Gesture Recognition: Toward Natural and Intuitive Human-Computer cites this paper.

Computer Vision-Driven Gesture Recognition: Toward Natural and Intuitive Human-Computer Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing

Reference 11

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no resolver link, observed 2026-08-11T04:50:46.881109Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:50:46.881109Z digest=sha256:1b9b2da3569b4ace7a5ca247a606f34e1bee849b4121a044cd20171dd27dbc5a

Observation 99d7ecbc-3bd7-4923-b3b8-0b4fab0c19f7 · inbound

A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets cites this paper.

A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing

Reference 2

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verified exact
local_arxiv, observed 2026-08-11T00:39:36.062295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T00:39:35.398187Z digest=sha256:f8f3034b527cc88c11c44c8e2527fb4620190146a682dc0ddad253d7a93ba19d

Observation 7ca53fb3-9c21-404b-b95e-d3b1ea050b18 · inbound

AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP cites this paper.

AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing

Reference 6

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no resolver link, observed 2026-08-11T14:55:48.045850Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:55:48.045850Z digest=sha256:5a140ddbde5ae27072237491b0ce2086301e0165557b83c3d43b8c009e399aa2