Paper Citation Record · LEDGER

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems

As of 10 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2507.01035.

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

pith.paper-citation-record.v1
2507.01035 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:34:18.691888Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:04:15.118216Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T21:04:16.829916Z

Reference resolution

36 of 36 outbound references displayed

verified exact3
verified fuzzy4
unresolved28
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a143823b-519a-4177-ac50-9e8295dcd94a · outbound

This paper cites A Mixed-Heuristic Quantum-Inspired Simplified Swarm Optimization Algorithm for scheduling of real-time tasks in the multiprocessorsystem.

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems A Mixed-Heuristic Quantum-Inspired Simplified Swarm Optimization Algorithm for scheduling of real-time tasks in the multiprocessorsystem

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:34:20.393563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d009e803-9aa4-41d6-9ce4-0e488f91b23f · outbound

This paper cites Real-Time Prediction for Athletes' Psychological States Using BERT-XGBoost: Enhancing Human-Computer Interaction.

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems Real-Time Prediction for Athletes' Psychological States Using BERT-XGBoost: Enhancing Human-Computer Interaction

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:15.195990Z

Source-reported events for the cited work

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Observation 76856b0b-1a63-4d27-a1c6-2f171dd26a34 · outbound

This paper cites Accurate Prediction of Temperature Indicators in Eastern China Using a Multi-Scale CNN-LSTM-Attention model.

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems Accurate Prediction of Temperature Indicators in Eastern China Using a Multi-Scale CNN-LSTM-Attention model

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:15.253156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27fce6c7-196c-441f-89b9-2a069fee09e9 · outbound

This paper cites II-NVM: Enhancing Map Accuracy and Consistency with Normal Vector-Assisted Mapping[J].

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems II-NVM: Enhancing Map Accuracy and Consistency with Normal Vector-Assisted Mapping[J]

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:15.318112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d9735da-3ed9-437e-985f-d583a9b34755 · outbound

This paper cites an unresolved cited work.

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:34:20.251919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7bbbaba7-2027-4e4f-9cfd-902fe76ed06d · outbound

This paper cites Construction and Analysis of Collaborative Educational Networks based on Student Concept Maps[J].

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems Construction and Analysis of Collaborative Educational Networks based on Student Concept Maps[J]

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:34:20.129241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d462221b-6a44-457f-9e85-43475d4299b4 · outbound

This paper cites AvailableatSSRN5179192.

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems AvailableatSSRN5179192

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:34:20.012925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 423bd2b0-92d6-4762-a4be-eb67c67cd2c8 · outbound

This paper cites Psychological Health Knowledge-Enhanced LLM-based Social Network Crisis Intervention Text Transfer Recognition Method.

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems Psychological Health Knowledge-Enhanced LLM-based Social Network Crisis Intervention Text Transfer Recognition Method

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:16.899981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9819a54e-4e5b-40d4-84c9-ecfaac25c788 · outbound

This paper cites Optimized Path Planning for Logistics Robots Using Ant Colony Algorithm under Multiple Constraints.

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems Optimized Path Planning for Logistics Robots Using Ant Colony Algorithm under Multiple Constraints

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:34:19.385558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 25f638c4-2b37-45ed-bf32-0402d7d11864 · outbound

This paper cites Research on Splicing Image Detection Algorithms Based on Natural Image Statistical Characteristics.

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems Research on Splicing Image Detection Algorithms Based on Natural Image Statistical Characteristics

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:17.018130Z

Source-reported events for the cited work

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Observation 6591c165-d1ee-46d5-8ebd-588a25f2f2d8 · outbound

This paper cites Ad Placement Optimization Algorithm Combined with MachineLearninginInternetE-Commerce[J].2025.

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems Ad Placement Optimization Algorithm Combined with MachineLearninginInternetE-Commerce[J].2025

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:17.092510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd1bd366-25fb-4a90-822e-66ef3d44b651 · outbound

This paper cites an unresolved cited work.

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:34:19.885800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 78069d79-433f-4af8-aeef-af76d677dbee · outbound

This paper cites A CT Image Classification Network Framework for Lung Tumors Based on Pre-trained MobileNetV2 Model and Transfer learning, And Its Application and Market Analysis in the Medical field.

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems A CT Image Classification Network Framework for Lung Tumors Based on Pre-trained MobileNetV2 Model and Transfer learning, And Its Application and Market Analysis in the Medical field

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:34:19.229154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d2d8c6a8-0d86-419e-b3b8-6c18e5a73936 · outbound

This paper cites Multidimensional precipitation index prediction based on CNN-LSTM hybrid framework.

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems Multidimensional precipitation index prediction based on CNN-LSTM hybrid framework

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:17.328368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59d1d781-7a2b-4090-a95f-a4fd368a42c6 · outbound

This paper cites CCi-YOLOv8n: Enhanced Fire Detection with CARAFE and Context-Guided Modules.

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems CCi-YOLOv8n: Enhanced Fire Detection with CARAFE and Context-Guided Modules

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:17.382606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 460be13d-7f9b-4613-9f81-43ee27d26f85 · outbound

This paper cites LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion.

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:17.431547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4421696-3159-4195-9036-8c3d3b330609 · outbound

This paper cites Research on E-Commerce Long-Tail Product Recommendation Mechanism Based on Large-Scale Language Models.

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems Research on E-Commerce Long-Tail Product Recommendation Mechanism Based on Large-Scale Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:17.511679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8c48585-e55f-4a0d-a3e6-48a4a003a4b0 · outbound

This paper cites Avocado Price Prediction Using a Hybrid Deep Learning Model: TCN-MLP-Attention Architecture.

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems Avocado Price Prediction Using a Hybrid Deep Learning Model: TCN-MLP-Attention Architecture

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:17.570050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f9438a3-e977-477a-9c82-ce34b7c1cefc · outbound

This paper cites CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image Reconstruction.

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image Reconstruction

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:17.612630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33a51a02-d09f-4fcf-86b6-b223e311623b · outbound

This paper cites Analysis of collective response reveals that covid-19-related activities start from the end of 2019 in mainland china[J].medRxiv,2020:2020.10.14.20202531.

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems Analysis of collective response reveals that covid-19-related activities start from the end of 2019 in mainland china[J].medRxiv,2020:2020.10.14.20202531

Reference 20

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Source-reported events for the cited work

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Observation e18ca60d-5e6e-4e72-bcd7-3422ab27d184 · outbound

This paper cites Applications and Effect Evaluation of Generative Adversarial Networks in Semi-Supervised Learning.

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems Applications and Effect Evaluation of Generative Adversarial Networks in Semi-Supervised Learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:17.766281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91c20b36-4fb2-4261-8cd9-61e6e80f1d69 · outbound

This paper cites User Behavior Analysis in Privacy Protection with Large Language Models: A Study on Privacy Preferences with Limited Data.

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems User Behavior Analysis in Privacy Protection with Large Language Models: A Study on Privacy Preferences with Limited Data

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:17.810049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 151e22c0-17e8-44c4-aa4b-d291f595d3f2 · outbound

This paper cites Research on feature fusion and multimodal patent text based on graph attention network.

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems Research on feature fusion and multimodal patent text based on graph attention network

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:17.858913Z

Source-reported events for the cited work

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Observation 57dd2755-ca8b-4d0f-a10d-bd46d36a54ed · outbound

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Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:34:19.726524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ac4d720e-9a50-4873-830e-ff06c9c25b91 · outbound

This paper cites Towards automated 3D evaluation of water leakage on a tunnel face via improved GAN and self-attention DL model[J].

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems Towards automated 3D evaluation of water leakage on a tunnel face via improved GAN and self-attention DL model[J]

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:34:19.580220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 70f327b3-304d-4c54-a5d1-058969e0bf96 · outbound

This paper cites Application ofAI inReal-time Credit Risk Detection[J].2025.

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems Application ofAI inReal-time Credit Risk Detection[J].2025

Reference 26

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Source-reported events for the cited work

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Observation 457c7594-d655-4c76-8261-0fc8cf0a1f1c · outbound

This paper cites Generating Multimodal Images with GAN: Integrating Text, Image, and Style.

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems Generating Multimodal Images with GAN: Integrating Text, Image, and Style

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:18.100808Z

Source-reported events for the cited work

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Observation aa97fbc0-b2a7-4d60-b6d4-dcc15459af71 · outbound

This paper cites Personalized Risks and Regulatory Strategies of Large Language Models in Digital Advertising.

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems Personalized Risks and Regulatory Strategies of Large Language Models in Digital Advertising

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d70f9b3e-23ce-47e4-aec1-17276a07889e · outbound

This paper cites Enhancing Code LLMs with Reinforcement Learning in Code Generation: A Survey.

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems Enhancing Code LLMs with Reinforcement Learning in Code Generation: A Survey

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:18.278011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b0f6806-5d09-499f-b7ca-1fb281a3cfe3 · outbound

This paper cites Automated Parking Trajectory Generation Using Deep Reinforcement Learning.

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems Automated Parking Trajectory Generation Using Deep Reinforcement Learning

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:34:18.891268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 50251ca1-0829-4d1b-8b37-0c0b450c5cd0 · outbound

This paper cites (2024, August).

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems (2024, August)

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:18.389857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db91feee-1c49-469e-b5da-5ae53df99f8d · outbound

This paper cites Research on the Design of a Short Video Recommendation System Based on Multimodal Information and Differential Privacy.

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems Research on the Design of a Short Video Recommendation System Based on Multimodal Information and Differential Privacy

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:18.446900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f386f30a-4cf2-4025-b50f-ef4bc3a2d36f · outbound

This paper cites Enhanced Recommendation Combining Collaborative Filtering and Large Language Models.

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems Enhanced Recommendation Combining Collaborative Filtering and Large Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:18.519949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b6fae48-2b79-43cb-a94f-b8217b18707d · outbound

This paper cites Research on Personalized Financial Product Recommendation by Integrating Large Language Models and Graph Neural Networks.

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems Research on Personalized Financial Product Recommendation by Integrating Large Language Models and Graph Neural Networks

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:18.581233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f9f840c-0ff7-45ab-beef-b57a013a7031 · outbound

This paper cites Financial Analysis: Intelligent Financial Data Analysis System Based on LLM-RAG.

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems Financial Analysis: Intelligent Financial Data Analysis System Based on LLM-RAG

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:18.627138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00cf19a8-24a9-485e-9dbe-c7d952ae36d5 · outbound

This paper cites Research on Multi-Modal Retrieval System of E-Commerce Platform Based on Pre-Training Model.

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems Research on Multi-Modal Retrieval System of E-Commerce Platform Based on Pre-Training Model

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:18.691888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation ed700bfa-ce1e-4e67-9787-f64b7d7b6161 · inbound

A Multimodal RAG Framework for Housing Damage Assessment: Collaborative Optimization of Image Encoding and Policy Vector Retrieval cites this paper.

A Multimodal RAG Framework for Housing Damage Assessment: Collaborative Optimization of Image Encoding and Policy Vector Retrieval Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-04T21:04:16.968242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.