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Paper Citation Record · LEDGER

Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing

As of 13 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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:44.110191Z digest=sha256:809c15f1e7a2b79872d333bc4b2e82b92b1880a4e9208a136c62235baa02b915

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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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:44.113930Z digest=sha256:143e5a9473700035095728b5081e9cd959260d0c4288d7a53e6fa3b8f5903cb1

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:c4125a15c93cbbe3169ab96fb0f458569e13eccc2c29cc74482027c5abc53c92

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:b3913ae72ddefe91d0990c5e1cdb214a5dc278e9d2d7ae3bd51ceaac167b9d75

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:44.124738Z digest=sha256:e37b2bc59f0845871c24f615ed6e9a3e494da8e4385f0ef5c16d5f0f8d627a50

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=sha256:4164eb80de4306452529ebf926859683e08e49963957a362cef7ad88aed0f23c

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=sha256:684154efbe4ee89234e46518c7ba0665563a2edc9c45a86a675e96ae13fceba6

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

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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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:50:44.139706Z digest=sha256:cf732ed15a9c89badc5e4ce2ae19c07a775b74b68aa0c5c73741f9963291531f

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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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:44.143293Z digest=sha256:fc2f24c31369aa9624c9f2d6862f0325e4d68a834de321f5dd9f540e27f42017

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:cbd94f861646f8d7b86aa5fc4aeac670356bc6dd81b09bde9ba02fe96970751e

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:44.150138Z digest=sha256:f9e531a0c8e32b5441665657297066697fa0ef061262d7c08530d57da5de87ad

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: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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:44.157192Z digest=sha256:4d98c1db68a7ac9b09a4245c6ee887c80b5d5d266cd89a811a004186b9bf851f

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:44.160519Z digest=sha256:d83be5c881ebf13e0af149b98472ff7fec4938b790f69d00bfe470d644027326

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: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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:44.167558Z digest=sha256:716e4fcd3322f1e853840d457b78b135fa30e6b6556ad62764512202ea1000b0

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

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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

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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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:44.178031Z digest=sha256:92b706a306e6971ec1dd87a4b4492869592a15254f99bba31bcae7e60b867f22

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:44.181598Z digest=sha256:149c571515d9a850c5e8396ed1508aeb60e83de1e3f082215312aec5127c1a23

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:44.185038Z digest=sha256:707ada440a06de2f40e1ca7e4e6d6b59705920bdf7ec1adf43f930330e53d2f7

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:44.188511Z digest=sha256:9f2a8951e2c39dd5c92a2e58171cc6470a6d4e3a944c9c2d8ae681c6a7bfd4ed

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: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

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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=sha256:103a8b62c5a5aa8ef86e649391b9a96e092c7c0f1d28fbb2ad3afcd0f218e6ef

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

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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: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

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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: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

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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

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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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T00:39:35.398187Z digest=sha256:7a40b6211f80686e0c510647cd6e4ecbd4ddebeaf1521a7546b193d22b7345ff

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

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