Pith. sign in

Paper Citation Record · LEDGER

Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing

As of 12 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 2026-08-11T06:34:44.6726+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

Resolution
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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T22:50:44.110191Z digest=sha256:51281266c68f1b4a86a6d2fb9ddb0c99094e4e5a41afdb2d2a954673f1620d72

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

Resolution
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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T22:50:44.113930Z digest=sha256:6aa9e6d77213da1f6f347a07e6330cf0296b1841e8c8c112dd103d88582788d6

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

Resolution
unresolved
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:ba0f93b6798f8454fc7005f9fa374510f105603c2bc664e3515404c1a3491f54

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

Resolution
unresolved
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=sha256:7438a6f68dc8b0fb7918dc39dccf20e657aefcbd44db6d457d61ddd449b7616c

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

Resolution
verified fuzzy
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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T22:50:44.124738Z digest=sha256:e3f87390a5893e866870607fbb30900d9a50519e327204be41531427c77d84ea

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

Resolution
unresolved
no resolver link, observed 2026-08-11T22:50:44.128565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:50:44.128565Z digest=sha256:4b7b62f74d14ba76189b8340f1246a55997f911b1722d54269d77e253a3aef04

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

Resolution
unresolved
no resolver link, observed 2026-08-11T22:50:44.132539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:50:44.132539Z digest=sha256:9d7286ae42f42989f64755399bcbea5f9c9f7f85fd40317d6193283861ca4370

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

Resolution
unresolved
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=sha256:43e141c187f693a0e4018dc18073c1777abcf23fcf946a3fd5ba7d76c2a6845d

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

Resolution
unresolved
no resolver link, observed 2026-08-11T22:50:44.139706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:50:44.139706Z digest=sha256:8a586b1608fd6023f3f99282587852613deac7d2ba4afe0808d429cf8f935fe4

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

Resolution
verified fuzzy
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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T22:50:44.143293Z digest=sha256:cef0dbe9bbefa924411a07f32809c0d5b173e553c0f4ee39617e49a3e45a8387

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

Resolution
unresolved
no resolver link, observed 2026-08-11T22:50:44.146461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:50:44.146461Z digest=sha256:63698281a5fca3c17d1ae0445d8d25ea161d52b288c7c3fa45b96ee3a9815207

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

Resolution
verified fuzzy
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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T22:50:44.150138Z digest=sha256:1bbe627af297b20c934ca77686d1a63feef218fdfc06efe6645fc23937aafd47

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

Resolution
unresolved
no resolver link, observed 2026-08-11T22:50:44.153495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:50:44.153495Z digest=sha256:ca0412edd91f12d4dbe0d42f2815c0a0e9fefc8de2d84669ab694eb164f6ef15

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

Resolution
verified fuzzy
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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T22:50:44.157192Z digest=sha256:b3470df4aea331b477b51d872e155563b620cc85bc40c075c892e3975e7b31db

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

Resolution
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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T22:50:44.160519Z digest=sha256:428db1b0636bc26371b485d4e98bacdfc555404b7fa2dc12d0984526c3fdc445

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

Resolution
unresolved
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:a9f0ec50e7878c559adaedc7c26e73f91ddc1cd4010228a9787c7734703ac26c

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

Resolution
verified fuzzy
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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T22:50:44.167558Z digest=sha256:28934c663101c356fec88e258264c8c78aed50566aebc052091a4cca23112ffa

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

Resolution
unresolved
no resolver link, observed 2026-08-11T22:50:44.170868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:50:44.170868Z digest=sha256:d04f65f3b8f88d2dca484d4bc3429b7f42331593d9a3b511daff16ee5e6caa46

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:50:44.174222Z digest=sha256:d5fe07ca94b346e10848bb4f4c82596e07717befa2ddc299c2e0fc75f94baa08

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

Resolution
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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T22:50:44.178031Z digest=sha256:1ea07562962d661f7dd1b730cf0c2772f505b88c956642c4e360b69d4bba0024

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

Resolution
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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T22:50:44.181598Z digest=sha256:9e65a2d058f2e76c26d8d7264b9c0e05e7f133e42ba7e309028222778cd05f2f

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

Resolution
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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T22:50:44.185038Z digest=sha256:c943cd2d95c9fd01751a0e76348cc9dee62697fa1167fe39b7579f48db5594ee

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

Resolution
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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T22:50:44.188511Z digest=sha256:70478af06dbbfeadd92376e73ffed686e554c719383c3acc9231a75ce434f501

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

Resolution
unresolved
no resolver link, observed 2026-08-11T22:50:44.191695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:50:44.191695Z digest=sha256:daf1eb09e8a3e4906ba9f2523602606852edb92835f789b12963c0531a4990d6

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:12:20.100276Z digest=sha256:103a8b62c5a5aa8ef86e649391b9a96e092c7c0f1d28fbb2ad3afcd0f218e6ef

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

Resolution
unresolved
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:f3c0e28baedd445c260f6741260297bc98ec446ae2fa519d4b0d98302289ffac

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:18:14.590914Z digest=sha256:cdcacdc039c73f455718d56d9aeef2c139444faaca4b8a7abf21b492dfe4023f

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

Resolution
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=sha256:54d2f4356cc97812c2056c6a674fe8332f41a1d487f4007352dbad36ad156ec5

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:50:46.881109Z digest=sha256:8ace9d25beac3a1b2ec298fd705969982721a96bee5fccdd51bea5b1b8fbe424

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

Resolution
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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:39:35.398187Z digest=sha256:8f575ea197966c9798b2ad43c3571679f65450de0bfe0887ac6c1a812a9c1324

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:55:48.045850Z digest=sha256:8b250a6452a41bf700ce9640e413386c0b2cf71da0955485421bf9caec6b717b