Paper Citation Record · LEDGER

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion

As of 18 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 4 inbound Pith citation observations for arXiv:2505.23809.

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

pith.paper-citation-record.v1
2505.23809 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:51:13.331191Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:34:17.431547Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T05:59:26.023550Z

Reference resolution

43 of 43 outbound references displayed

verified exact1
verified fuzzy8
unresolved33
parse uncertain0
malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 57166091-4ec7-473e-9168-c96f649f51b5 · outbound

This paper cites Tracing the influence of large language models across the most impactful scientific works.

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion Tracing the influence of large language models across the most impactful scientific works

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:17.131759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation df6f80ce-cb9a-4715-a674-26d708fb8a7f · outbound

This paper cites A review of AI-powered writing tools and their implications for academic integrity in the language classroom.

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion A review of AI-powered writing tools and their implications for academic integrity in the language classroom

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:16.897283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 09ffe1ab-06bd-470d-a308-1dda1ab0e023 · outbound

This paper cites Harnessing large language models (LLMs) for candidate gene prioritization and selection.

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion Harnessing large language models (LLMs) for candidate gene prioritization and selection

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:16.696187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dcad7016-25f7-43db-ae31-790b8396dfe2 · outbound

This paper cites Attention mechanism and context modeling system for text mining machine translation.

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion Attention mechanism and context modeling system for text mining machine translation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:08.918241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2ff8645-f0bd-4395-abbc-74440a12d790 · outbound

This paper cites an unresolved cited work.

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:51:16.472789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d28b5489-d438-44c7-93c3-2d814c9e503d · outbound

This paper cites Machine Learning-Based Research on the Adaptability of Adolescents to Online Education.

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion Machine Learning-Based Research on the Adaptability of Adolescents to Online Education

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:51:14.321937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6bfe929c-7ac1-48a7-96c3-6f226ab0d9d0 · outbound

This paper cites an unresolved cited work.

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:51:16.335781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d525dc46-694e-4b86-ae4a-a38f053e51bb · outbound

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

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion A Mixed-Heuristic Quantum-Inspired Simplified Swarm Optimization Algorithm for scheduling of real-time tasks in the multiprocessor system

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:09.262050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f0d6a81-5839-435e-a0bf-a328c654d722 · outbound

This paper cites An ensemble approach to stock price prediction using deep learning and time series models.

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion An ensemble approach to stock price prediction using deep learning and time series models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:09.355390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad284022-7e65-491b-820b-34896d3951c8 · outbound

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

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion CCi-YOLOv8n: Enhanced Fire Detection with CARAFE and Context-Guided Modules

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:09.481027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3687fb07-5ec1-4ece-83b7-25dc42a2800e · outbound

This paper cites Research on Effectiveness Evaluation and Optimization of Baseball Teaching Method Based on Machine Learning.

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion Research on Effectiveness Evaluation and Optimization of Baseball Teaching Method Based on Machine Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:09.626080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 182c956a-afd8-45f1-8411-ef73d55ead10 · outbound

This paper cites Deep Learning for Weather Forecasting: A CNN-LSTM Hybrid Model for Predicting Historical Temperature Data.

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion Deep Learning for Weather Forecasting: A CNN-LSTM Hybrid Model for Predicting Historical Temperature Data

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:09.741040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b7f0d91-8678-4a90-bae2-a259c90c5965 · outbound

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

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion Multidimensional precipitation index prediction based on CNN-LSTM hybrid framework

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:09.886508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8746d4e9-1c4a-47a9-abe9-3b0b4a00dbc8 · outbound

This paper cites DRAL: Deep Reinforcement Adaptive Learning for Multi-UAVs Navigation in Unknown Indoor Environment.

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion DRAL: Deep Reinforcement Adaptive Learning for Multi-UAVs Navigation in Unknown Indoor Environment

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:10.040344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c01186df-07f0-4efc-929f-4a3c5f375a51 · outbound

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

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion Automated Parking Trajectory Generation Using Deep Reinforcement Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:10.237804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db14ab8b-b46b-44b3-b98b-358704d8e0d8 · outbound

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

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion Analysis of collective response reveals that covid-19-related activities start from the end of 2019 in mainland china[J]

Reference 17

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T13:51:16.094810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b93768f3-572b-435a-b968-7adb352a6969 · 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.

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion 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 18

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:10.675538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84cf21c9-33f4-47b7-89ad-4104f0f57083 · outbound

This paper cites Contextual Bandits for Unbounded Context Distributions.

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion Contextual Bandits for Unbounded Context Distributions

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:10.821947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30b5d8e8-7012-4aee-a041-bdd1bcfaf43f · outbound

This paper cites A Generative Adversarial Network-Based Investor Sentiment Indicator: Superior Predictability for the Stock Market.

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion A Generative Adversarial Network-Based Investor Sentiment Indicator: Superior Predictability for the Stock Market

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:15.922536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f87a1cdd-8709-4e07-a1a0-ece31c38344e · outbound

This paper cites an unresolved cited work.

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:11.079289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd1b3184-860c-4d4f-a586-c41ee7b9cac2 · outbound

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

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion Optimized Path Planning for Logistics Robots Using Ant Colony Algorithm under Multiple Constraints

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:11.239601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47ce7f49-f83d-4f0a-b731-b76cea0682d2 · outbound

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

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion Enhancing Code LLMs with Reinforcement Learning in Code Generation: A Survey

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:11.355493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b74d13ae-40e7-4b5c-a8ac-f91725d4e4cd · outbound

This paper cites an unresolved cited work.

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:51:15.697829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c28c710c-d7f0-462d-8fc4-209a9e705cce · outbound

This paper cites Enhancing Intent Understanding for Ambiguous Prompts through Human-Machine Co-Adaptation[J].

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion Enhancing Intent Understanding for Ambiguous Prompts through Human-Machine Co-Adaptation[J]

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:11.606064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95e245a1-2d83-45a6-999e-e6195fbf0f33 · outbound

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

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion Research on Splicing Image Detection Algorithms Based on Natural Image Statistical Characteristics

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:11.698048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e89fff9-8ad3-40ae-a945-2a7f8a89c2f7 · outbound

This paper cites an unresolved cited work.

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:51:15.481268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2149e818-9564-4f63-a80e-3eaf77630283 · outbound

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

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion User Behavior Analysis in Privacy Protection with Large Language Models: A Study on Privacy Preferences with Limited Data

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:11.876405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e4a270d-d21c-4fbe-84b2-cb7b5fae23a6 · outbound

This paper cites Unsupervised action segmentation via fast learning of semantically consistent actoms[C]//Proceedings of the AAAI Conference on Artificial Intelligence.

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion Unsupervised action segmentation via fast learning of semantically consistent actoms[C]//Proceedings of the AAAI Conference on Artificial Intelligence

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:15.218206Z

Source-reported events for the cited work

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Observation c2158673-c0b4-455c-b6d9-bbf63add0c91 · outbound

This paper cites Integrated segmentation and subspace clustering for RSS-based localization under blind calibration[C]//GLOBECOM 2022-2022 IEEE Global Communications Conference.

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion Integrated segmentation and subspace clustering for RSS-based localization under blind calibration[C]//GLOBECOM 2022-2022 IEEE Global Communications Conference

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:12.118599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b9ce039-c6bc-4605-adf6-5df8256331ed · outbound

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

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion Personalized Risks and Regulatory Strategies of Large Language Models in Digital Advertising

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:12.193075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4963a0d4-9c6e-4a32-af6f-c2ea3db4bddb · outbound

This paper cites & Zhang, S.

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion & Zhang, S

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:14.992420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5866ce25-0bc7-4f3e-afd5-af331b521d90 · outbound

This paper cites Harnessing earnings reports for stock predictions: A qlora-enhanced llm approach[C]//2024 6th International Conference on Data-driven Optimization of Complex Systems (DOCS).

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion Harnessing earnings reports for stock predictions: A qlora-enhanced llm approach[C]//2024 6th International Conference on Data-driven Optimization of Complex Systems (DOCS)

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:14.702342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 421286cb-7373-4354-951c-ce6ac530479e · outbound

This paper cites Data Augmentation Through Random Style Replacement[J].

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion Data Augmentation Through Random Style Replacement[J]

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:12.465827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89e94642-2188-4d58-8a01-54f18c7b88ae · outbound

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

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion Psychological Health Knowledge-Enhanced LLM-based Social Network Crisis Intervention Text Transfer Recognition Method

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:12.533212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6548e3d-49f4-46f7-b528-b24c5fd8b995 · outbound

This paper cites Enhance image-to-image generation with llava-generated prompts[C]//2024 5th International Conference on Information Science, Parallel and Distributed Systems (ISPDS).

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion Enhance image-to-image generation with llava-generated prompts[C]//2024 5th International Conference on Information Science, Parallel and Distributed Systems (ISPDS)

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:14.530869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d26ace6b-7b40-47b7-9681-aede6c3b6611 · outbound

This paper cites Research on Personalized Medical Intervention Strategy Generation System based on Group Relative Policy Optimization and Time-Series Data Fusion.

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion Research on Personalized Medical Intervention Strategy Generation System based on Group Relative Policy Optimization and Time-Series Data Fusion

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:12.760387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b04f2ded-ceda-4f24-aaaf-aaec58e21aab · outbound

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

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion Real-Time Prediction for Athletes' Psychological States Using BERT-XGBoost: Enhancing Human-Computer Interaction

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:12.832969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2fa6bf8-4263-47d1-ba75-c86cc2fa73c4 · outbound

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

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion Accurate Prediction of Temperature Indicators in Eastern China Using a Multi-Scale CNN-LSTM-Attention model

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:12.914236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcbe700e-cd75-4f76-8fd6-fe60c2fb01f9 · outbound

This paper cites Deep Learning-based Anomaly Detection and Log Analysis for Computer Networks.

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion Deep Learning-based Anomaly Detection and Log Analysis for Computer Networks

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:12.998572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfad2c5c-2af1-4cc1-bdb2-70074b16bd95 · outbound

This paper cites an unresolved cited work.

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion Unresolved cited work

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:13.140843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74349346-5d0e-44f2-baa7-7c19a112d668 · outbound

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

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion Avocado Price Prediction Using a Hybrid Deep Learning Model: TCN-MLP-Attention Architecture

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:13.213025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31b927da-688b-46d2-aba4-cc733c24c765 · outbound

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

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image Reconstruction

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:13.279283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b711d677-72a9-45a1-86bc-18897eef7c1a · outbound

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

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion Construction and Analysis of Collaborative Educational Networks based on Student Concept Maps[J]

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:13.331191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

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

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

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 503ab47f-9ae2-4196-b2c7-5a1351557c39 · inbound

LLM-Augmented Symptom Analysis for Cardiovascular Disease Risk Prediction: A Clinical NLP cites this paper.

LLM-Augmented Symptom Analysis for Cardiovascular Disease Risk Prediction: A Clinical NLP LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T17:22:25.147060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8de27c5-cb33-4e04-bf14-04c280f27d63 · inbound

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs cites this paper.

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T15:08:52.322850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83c942c2-d02b-4289-959d-680e16ba1425 · inbound

Multimodal Foundation Model-Driven User Interest Modeling and Behavior Analysis on Short Video Platforms cites this paper.

Multimodal Foundation Model-Driven User Interest Modeling and Behavior Analysis on Short Video Platforms LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:59:26.027475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.