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Paper Citation Record · LEDGER

Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems

As of 15 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 5 inbound Pith citation observations for arXiv:2506.17551.

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

pith.paper-citation-record.v1
2506.17551 v2

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:34:58.014960Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T05:41:04.552771Z

Reference resolution

31 of 31 outbound references displayed

  • verified exact0
  • verified fuzzy10
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 65580b9c-4152-4ed2-8c43-88c42204176a · outbound

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

Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems Research on Multi-Modal Retrieval System of E-Commerce Platform Based on Pre-Training Model

Reference 1

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raw_fallback, observed 2026-08-06T23:35:02.331355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:34:54.734373Z digest=sha256:bd6b3d1488f5e29ca027e556b29179f616bd2b37ddfd1c1c0213452b0a714ffe

Observation a51e6026-417b-4eac-9adf-179322449086 · outbound

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

Research on Model Parallelism and Data Parallelism Optimization Methods in 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]

Reference 2

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raw_fallback, observed 2026-08-06T23:35:02.008435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:34:54.803890Z digest=sha256:2ad29adbfc31f67db0cdd4d9bb5720f8b1a7d667b1b4f9cece351c8c32f2704b

Observation 8710d790-af24-4437-abb8-3e8a215d5553 · outbound

This paper cites Material Flow Prediction Task Based On TCN-GRU Deep Fusion Model [J].

Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems Material Flow Prediction Task Based On TCN-GRU Deep Fusion Model [J]

Reference 3

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raw_fallback, observed 2026-08-06T23:35:01.764397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:34:54.927387Z digest=sha256:b7b66e017c4684f28f49fe44b55a45fe11ea09cf30330fda055d4fefc4e00edf

Observation f6160e95-1ca3-4684-8add-c8bcf736e073 · outbound

This paper cites Application of AI in Real-time Credit Risk Detection[J].

Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems Application of AI in Real-time Credit Risk Detection[J]

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-06T23:35:01.554741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:34:55.075018Z digest=sha256:2e22e098893ce2e7ee3d20b3de65ebf9bf68db8f12911fd743ebf59ab405fd44

Observation 279f895f-f4d8-421a-8d93-3e82f4dc8b04 · outbound

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

Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems Research on the Design of a Short Video Recommendation System Based on Multimodal Information and Differential Privacy

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:34:55.175546Z digest=sha256:fe6a00b9c5341960153076f99cd4d9d045efecb6abce4cdeb260b618f1ef57cb

Observation 9a0541a0-43ff-434a-8da1-a8c4c5a54a74 · outbound

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

Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image Reconstruction

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:34:55.275692Z digest=sha256:8430cf7423f86d868c89ba6b01e464d7dd0f88852881e2cc2a8581795c3b9324

Observation 92ef82df-1359-4b8d-a8d8-e7e1e6d024c9 · outbound

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

Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems Optimized Path Planning for Logistics Robots Using Ant Colony Algorithm under Multiple Constraints

Reference 7

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T23:34:55.360531Z digest=sha256:f3ecdf601137f1c0b1cd268659e06ca9e535ea4eab3978cc07044b8d0410995b

Observation 6943b95e-cbc0-433f-9cb0-66f3a5ad0e34 · outbound

This paper cites A novel Tree-augmented Bayesian network for predicting rock weathering degree using incomplete dataset[J].

Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems A novel Tree-augmented Bayesian network for predicting rock weathering degree using incomplete dataset[J]

Reference 8

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raw_fallback, observed 2026-08-06T23:35:01.327146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:34:55.456528Z digest=sha256:7e50627921297bca59b6374748ad7415d0bac13222261c0d3c2e108343289123

Observation 9d865f14-8ce7-43aa-9f6e-e29aee282a06 · outbound

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

Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems Multidimensional precipitation index prediction based on CNN-LSTM hybrid framework

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:34:55.529456Z digest=sha256:52ba958bea45d38d56f9ae2d94940935072cfeedbef995f2759c3c23d8a7b1b5

Observation a748cedc-3b2f-4e2d-b0d7-31801affdff8 · outbound

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

Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems Generating Multimodal Images with GAN: Integrating Text, Image, and Style

Reference 10

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:34:55.673283Z digest=sha256:ee6b82791021863bf219364fb536c92e623013d4ab0d5bd1a14c1e62e03b283c

Observation f1ec38c5-34e9-46bc-bf50-3dffd2b5a602 · outbound

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

Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems Research on E-Commerce Long-Tail Product Recommendation Mechanism Based on Large-Scale Language Models

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:34:55.734841Z digest=sha256:91f0c0024d20fed12d64e434c4c684930134ff3af2770986d4dfff320837cd38

Observation fd7aca48-ab4d-4a53-83d4-dc6233b746f8 · outbound

This paper cites an unresolved cited work.

Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems Unresolved cited work

Reference 12

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raw_fallback, observed 2026-08-06T23:35:01.076835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:34:55.824827Z digest=sha256:94cfdfaecf792e57778ef7635975ba0da3b081e752b12be43d4e90037a8302ff

Observation 5b621478-58da-4c92-b393-0be255eb4d22 · outbound

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

Research on Model Parallelism and Data Parallelism Optimization Methods in 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 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:34:55.904747Z digest=sha256:6da5b3a3669e370286b1bbaa54cf114b430e985839d704e046acc0bb05c92ba7

Observation eb12dfa7-9d59-47c4-badb-8c0c4e57f809 · outbound

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

Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems Real-Time Prediction for Athletes' Psychological States Using BERT-XGBoost: Enhancing Human-Computer Interaction

Reference 14

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no resolver link, observed 2026-08-06T23:34:55.938609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:34:55.938609Z digest=sha256:71ffc473ff6754e70c2c88c4658a744287db50b14b5eb3c1e06506a165c59bf9

Observation aa825987-b0e4-4657-bdb8-f739643791a5 · outbound

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

Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems Enhanced Recommendation Combining Collaborative Filtering and Large Language Models

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:34:55.995296Z digest=sha256:90b8061990667dd1b898ef57cbd92c45c5eb3dc3f26d085daab4be314af5cc10

Observation 9f435008-aca3-4660-bf02-cd6f59b0df59 · outbound

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

Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems Research on Splicing Image Detection Algorithms Based on Natural Image Statistical Characteristics

Reference 16

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:34:56.112243Z digest=sha256:8440f9304afca697712ff997480159991fb3b5fd25b027a07b92b190764c32b7

Observation de72524d-523d-4a72-8d82-2c058230f7e3 · outbound

This paper cites Rock mass quality prediction on tunnel faces with incomplete multi-source dataset via tree-augmented naive Bayesian network[J].

Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems Rock mass quality prediction on tunnel faces with incomplete multi-source dataset via tree-augmented naive Bayesian network[J]

Reference 17

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raw_fallback, observed 2026-08-06T23:35:00.809047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:34:56.269934Z digest=sha256:3797050d643143a9cf7e20ac38efb2f0c9de85c9097f7030bd90f42d1cb67731

Observation af845fa3-1b4e-4a75-9c96-77dafa75a411 · outbound

This paper cites Ad Placement Optimization Algorithm Combined with Machine Learning in Internet E-Commerce [J].

Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems Ad Placement Optimization Algorithm Combined with Machine Learning in Internet E-Commerce [J]

Reference 18

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raw_fallback, observed 2026-08-06T23:35:00.491358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:34:56.420850Z digest=sha256:bafb8a79859177d48bef7eb1da5e47a2d940ca590e89ece47d9add33434ccfbd

Observation 97e88e2d-f050-4e41-8b51-e76592a2f5b5 · outbound

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

Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems Research on feature fusion and multimodal patent text based on graph attention network

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:34:56.542374Z digest=sha256:ba59da05edca21fc4f34d52bfcc9b4e9d4af9c11a9f09bf48679cdfff2b58aa7

Observation 5d472614-87be-4024-8f00-1ff7cd039038 · outbound

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

Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems Enhancing Code LLMs with Reinforcement Learning in Code Generation: A Survey

Reference 20

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no resolver link, observed 2026-08-06T23:34:56.650437Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:34:56.650437Z digest=sha256:b04a412a639cd67227e5f7de64fb59990d1ef13f960fa79bb92c080cf919fc01

Observation 8abc5504-0e54-4165-bc60-ac3ba8a1bfed · outbound

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

Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems Construction and Analysis of Collaborative Educational Networks based on Student Concept Maps[J]

Reference 21

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raw_fallback, observed 2026-08-06T23:35:00.222828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:34:56.798432Z digest=sha256:c40b7021e62e8eb7a6c6c246b86bfd4e1d8907ebf6138affd37a8612db1bfe73

Observation c7c6f525-5ba2-471f-8691-03edb69761e3 · outbound

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

Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems Psychological Health Knowledge-Enhanced LLM-based Social Network Crisis Intervention Text Transfer Recognition Method

Reference 22

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no resolver link, observed 2026-08-06T23:34:56.871257Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:34:56.871257Z digest=sha256:9ff2eba8894c6c8eb97869d482c427422e2d5bec3bb5a89701fccf496186303e

Observation 81ef010c-6ffb-40c0-b7e4-25e3ce60c48e · outbound

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

Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems Avocado Price Prediction Using a Hybrid Deep Learning Model: TCN-MLP-Attention Architecture

Reference 23

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:34:56.955387Z digest=sha256:10f21f84e567c0c0b3183be5ca8d3f333e720bef373235d6c60f1c316558e26b

Observation cdebf01f-c9bc-49fe-b093-d59d2261b400 · outbound

This paper cites an unresolved cited work.

Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems Unresolved cited work

Reference 24

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raw_fallback, observed 2026-08-06T23:34:59.945877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:34:57.093352Z digest=sha256:9db14a8ea64afafa123509d7a048164e5066207482a96057c5e53bb15ac92701

Observation e63660df-6cf2-46c2-8339-05ee2667811a · outbound

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

Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems CCi-YOLOv8n: Enhanced Fire Detection with CARAFE and Context-Guided Modules

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:34:57.201988Z digest=sha256:4a8bcc12112db5d24489305bb1e44dc1e654bb2d6e34505d5409bf17bb90ce1a

Observation 96c4e063-81fb-415f-b2d6-aeab498ec1a4 · outbound

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

Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems Research on Personalized Financial Product Recommendation by Integrating Large Language Models and Graph Neural Networks

Reference 26

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no resolver link, observed 2026-08-06T23:34:57.318857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:34:57.318857Z digest=sha256:f410af1b0278cf3c24a545b8524b81093668cfa99b395ff421156e5c7ebe7e6b

Observation f05b5e29-9bc8-4a16-8a22-8ee798e9b91b · outbound

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

Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems Financial Analysis: Intelligent Financial Data Analysis System Based on LLM-RAG

Reference 27

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no resolver link, observed 2026-08-06T23:34:57.454895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:34:57.454895Z digest=sha256:5e8fdcc9dd99b9ec5d17b15fb96745dd73de105d691dfec1536787393804511a

Observation bdbebd1f-2330-4214-90e4-4c661f4c6fbd · outbound

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

Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems Personalized Risks and Regulatory Strategies of Large Language Models in Digital Advertising

Reference 28

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no resolver link, observed 2026-08-06T23:34:57.545021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:34:57.545021Z digest=sha256:ea5f52b3ece4bf70d42f642c0c335f05f258263b3f7fb09d3830e459ba471e52

Observation e39c5510-d8b5-45f9-ae27-90eee3db513a · outbound

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

Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems Automated Parking Trajectory Generation Using Deep Reinforcement Learning

Reference 29

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no resolver link, observed 2026-08-06T23:34:57.662314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:34:57.662314Z digest=sha256:c2ead6d915d1acaa8b02b057670a497c82475c07336bedc74bc8ebe7d4f67a3d

Observation 3620988d-2745-41e7-b342-a592503b3ebf · outbound

This paper cites (2024, August).

Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems (2024, August)

Reference 30

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raw_fallback, observed 2026-08-06T23:34:59.665651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:34:57.854833Z digest=sha256:18170ef5634161f5af2d2e7a736d30fb2ecb99a0a31831079057058c47353691

Observation 09a500f3-faff-460f-a0e9-483d9435eba8 · outbound

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

Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems II-NVM: Enhancing Map Accuracy and Consistency with Normal Vector-Assisted Mapping[J]

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-06T23:34:59.392890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:34:58.014960Z digest=sha256:39ebd828a900afdda22165f88799ba02ea3b34f96c8dcb7dac0e76dfae663821

Pith citing papers

Observation c70a2b89-9330-433f-96b7-7f755b8ad4ff · 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 Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems

Reference 25

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no resolver link, observed 2026-08-06T17:22:26.456554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:22:26.456554Z digest=sha256:d58ec70ff7c46399c929928a65df78df1ab9566fb73413ab34da65b21bde6e01

Observation 2c36017f-77d7-4db8-8179-a8d0d921ec82 · inbound

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

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems

Reference 35

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no resolver link, observed 2026-08-06T15:08:52.499794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:08:52.499794Z digest=sha256:7e4a330f6352f1e9bdc74aefe7e03e2d346a21ca6092704571913a929bd47c43

Observation 8b95a12c-1d3b-4306-80ea-1b484d814adc · inbound

Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users cites this paper.

Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-04T19:46:41.367232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:46:41.367232Z digest=sha256:6732053e5cea727d7f91d7e019c85b926e6934c257302ddbc3f8ce09d86ebc2d

Observation 8023870b-59dc-48ff-83c4-990a642a0c4f · 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 Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-04T21:04:14.986763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:04:14.986763Z digest=sha256:858e3cf90cfc7ccb709d16c1a4a9671aa81fc5c88bcd4082e4633024ddf99979

Observation dc851432-b6d5-485f-beff-74f7dbb86999 · inbound

NestPipe: Large-Scale Recommendation Training on 1,500+ Accelerators via Nested Pipelining cites this paper.

NestPipe: Large-Scale Recommendation Training on 1,500+ Accelerators via Nested Pipelining Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems

Reference 10

Resolution
malformed identifier
arxiv_id, observed 2026-05-11T05:41:04.555772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T17:58:46.821857Z digest=sha256:2cb8bdbfd526baae471861b70c146b19db26ffe95ea086b0bb33d2a25ffb3ca4