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Paper Citation Record · LEDGER

LLM-Augmented Symptom Analysis for Cardiovascular Disease Risk Prediction: A Clinical NLP

As of 8 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2507.11052.

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

pith.paper-citation-record.v1
2507.11052 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:22:26.456554Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

25 of 25 outbound references displayed

  • verified exact4
  • verified fuzzy4
  • unresolved16
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 742947b0-e379-4b68-98df-4eb64f463e0f · outbound

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

LLM-Augmented Symptom Analysis for Cardiovascular Disease Risk Prediction: A Clinical NLP CCi-YOLOv8n: Enhanced Fire Detection with CARAFE and Context-Guided Modules

Reference 1

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verified exact
local_arxiv, observed 2026-08-06T17:22:27.507735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 68f4eab5-7e10-4d31-9cc4-b12178e53849 · outbound

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

LLM-Augmented Symptom Analysis for Cardiovascular Disease Risk Prediction: A Clinical NLP Enhancing Code LLMs with Reinforcement Learning in Code Generation: A Survey

Reference 2

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Observation 18138355-e489-4741-95b0-8d2d53dcbb9c · outbound

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

LLM-Augmented Symptom Analysis for Cardiovascular Disease Risk Prediction: A Clinical NLP Research on Splicing Image Detection Algorithms Based on Natural Image Statistical Characteristics

Reference 3

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no resolver link, observed 2026-08-06T17:22:24.622766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 22d8dcff-b9cd-4702-b1a7-93aec30317bf · outbound

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

LLM-Augmented Symptom Analysis for Cardiovascular Disease Risk Prediction: A Clinical NLP Research on E-Commerce Long-Tail Product Recommendation Mechanism Based on Large-Scale Language Models

Reference 4

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no resolver link, observed 2026-08-06T17:22:24.663701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:22:24.663701Z digest=sha256:941fee76bc9e6e8332de69773cc6e1c927cd410eed4654676892f8b3de7f3081

Observation 1129c547-ff8f-45e6-ad40-8edb5fd330d5 · outbound

This paper cites Construction and Analysis of CollaborativeEducationalNetworksbasedonStudentConceptMaps[J].

LLM-Augmented Symptom Analysis for Cardiovascular Disease Risk Prediction: A Clinical NLP Construction and Analysis of CollaborativeEducationalNetworksbasedonStudentConceptMaps[J]

Reference 5

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raw_fallback, observed 2026-08-06T17:22:28.595501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 65a61fce-b9c8-46a3-8ddd-2839c721a91f · outbound

This paper cites an unresolved cited work.

LLM-Augmented Symptom Analysis for Cardiovascular Disease Risk Prediction: A Clinical NLP Unresolved cited work

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation eaa6ab70-066b-43aa-a098-0c2aee1db6ce · outbound

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

LLM-Augmented Symptom Analysis for Cardiovascular Disease Risk Prediction: A Clinical NLP Research on feature fusion and multimodal patent text based on graph attention network

Reference 7

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Observation 8ee62169-e8a7-4889-bf5b-4fa67dc45dfe · outbound

This paper cites (2024, August).

LLM-Augmented Symptom Analysis for Cardiovascular Disease Risk Prediction: A Clinical NLP (2024, August)

Reference 8

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no resolver link, observed 2026-08-06T17:22:24.837066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:22:24.837066Z digest=sha256:def7b9c81401410e5bf521837e2b5ca1304055bee2420a8fb8bf3acba5dd0174

Observation 1dd5b21a-4e1e-47c5-84b5-07620d2fe473 · outbound

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

LLM-Augmented Symptom Analysis for Cardiovascular Disease Risk Prediction: A Clinical NLP Research on Multi-Modal Retrieval System of E-Commerce Platform Based on Pre-Training Model

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-06T17:22:28.121456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:22:24.888361Z digest=sha256:09784a9a507cb340d9b7800150a7b8d0f396fa3304c89f2df39fa9d15cd577dd

Observation 11281576-d7e6-4e94-896a-00b0f6e8b206 · outbound

This paper cites Exploring time series analysis in frequency domain with complex-valued spectral attention andbidirectionalvariablemamba.

LLM-Augmented Symptom Analysis for Cardiovascular Disease Risk Prediction: A Clinical NLP Exploring time series analysis in frequency domain with complex-valued spectral attention andbidirectionalvariablemamba

Reference 10

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raw_fallback, observed 2026-08-06T17:22:27.939209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:22:24.919198Z digest=sha256:b0807873ed5fddd2080d77dba4c867f9642e6d92f6d5a05f8d95597f2bf4c3f6

Observation b973148a-3b1a-4639-bca3-067f8fff2577 · outbound

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

LLM-Augmented Symptom Analysis for Cardiovascular Disease Risk Prediction: A Clinical NLP Research on the Design of a Short Video Recommendation System Based on Multimodal Information and Differential Privacy

Reference 11

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Unavailable: canonical work link unavailable.

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Observation 3dbe1a33-0c67-4d64-9e8e-a093503db8ad · outbound

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

LLM-Augmented Symptom Analysis for Cardiovascular Disease Risk Prediction: A Clinical NLP Avocado Price Prediction Using a Hybrid Deep Learning Model: TCN-MLP-Attention Architecture

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:22:27.173662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 36c57e93-d452-44b0-9cfd-74e21db6554e · outbound

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

LLM-Augmented Symptom Analysis for Cardiovascular Disease Risk Prediction: A Clinical NLP CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image Reconstruction

Reference 13

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no resolver link, observed 2026-08-06T17:22:25.025761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:22:25.025761Z digest=sha256:05d3037dc7fa17e99b8303bd940798965fb8a0cf8bf57e2206b88b8795f10eaf

Observation 31ff4090-ba92-41bd-b47e-219e4a044934 · outbound

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

LLM-Augmented Symptom Analysis for Cardiovascular Disease Risk Prediction: A Clinical NLP Enhanced Recommendation Combining Collaborative Filtering and Large Language Models

Reference 14

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no resolver link, observed 2026-08-06T17:22:25.085756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:22:25.085756Z digest=sha256:4b104250f4eb19d774ab89cdcad229a54074e3090f161204fd889d76f2aa219f

Observation 503ab47f-9ae2-4196-b2c7-5a1351557c39 · outbound

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

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

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

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Unavailable: canonical work link unavailable.

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Observation 1390d592-3e2d-4c05-905e-5e8a802243cb · outbound

This paper cites Material Flow Prediction Task Based On TCN- GRUDeepFusionModel[J].2025.

LLM-Augmented Symptom Analysis for Cardiovascular Disease Risk Prediction: A Clinical NLP Material Flow Prediction Task Based On TCN- GRUDeepFusionModel[J].2025

Reference 16

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raw_fallback, observed 2026-08-06T17:22:27.732892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation bbcd2c7e-c2dd-40ab-93d8-9a39672230fc · outbound

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

LLM-Augmented Symptom Analysis for Cardiovascular Disease Risk Prediction: A Clinical NLP Multidimensional precipitation index prediction based on CNN-LSTM hybrid framework

Reference 17

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verified exact
local_arxiv, observed 2026-08-06T17:22:26.895688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 48225a09-b405-4fc8-a384-b1a8b7f26359 · outbound

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

LLM-Augmented Symptom Analysis for Cardiovascular Disease Risk Prediction: A Clinical NLP Financial Analysis: Intelligent Financial Data Analysis System Based on LLM-RAG

Reference 18

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Unavailable: canonical work link unavailable.

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Observation 733286f5-078a-4ac1-a6b7-bc894642b849 · outbound

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

LLM-Augmented Symptom Analysis for Cardiovascular Disease Risk Prediction: A Clinical NLP User Behavior Analysis in Privacy Protection with Large Language Models: A Study on Privacy Preferences with Limited Data

Reference 19

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no resolver link, observed 2026-08-06T17:22:25.626331Z

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Observation af6930c0-8caf-4732-ab42-2a449f970d26 · 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.

LLM-Augmented Symptom Analysis for Cardiovascular Disease Risk Prediction: A Clinical NLP 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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Unavailable: canonical work link unavailable.

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Observation 4ddeed2f-33dd-4ab7-afa8-f4e9542628ba · outbound

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

LLM-Augmented Symptom Analysis for Cardiovascular Disease Risk Prediction: A Clinical NLP Research on Personalized Financial Product Recommendation by Integrating Large Language Models and Graph Neural Networks

Reference 21

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Unavailable: canonical work link unavailable.

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Observation a92ee0cb-39a5-4de1-9a3d-bf54d3262e40 · outbound

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

LLM-Augmented Symptom Analysis for Cardiovascular Disease Risk Prediction: A Clinical NLP Generating Multimodal Images with GAN: Integrating Text, Image, and Style

Reference 22

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no resolver link, observed 2026-08-06T17:22:26.042410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 47a1d69f-9921-4df8-ba9f-db0e7472481e · outbound

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

LLM-Augmented Symptom Analysis for Cardiovascular Disease Risk Prediction: A Clinical NLP Real-Time Prediction for Athletes' Psychological States Using BERT-XGBoost: Enhancing Human-Computer Interaction

Reference 23

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local_arxiv, observed 2026-08-06T17:22:26.661803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b21c0742-4fdc-4516-a82d-b9a951e3bf76 · outbound

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

LLM-Augmented Symptom Analysis for Cardiovascular Disease Risk Prediction: A Clinical NLP II-NVM: Enhancing Map Accuracy and Consistency with Normal Vector-Assisted Mapping[J]

Reference 24

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Observation c70a2b89-9330-433f-96b7-7f755b8ad4ff · outbound

This paper cites Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems.

LLM-Augmented Symptom Analysis for Cardiovascular Disease Risk Prediction: A Clinical NLP Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems

Reference 25

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Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.