Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T19:46:41.592023Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2509.09066.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T19:46:41.592023Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
29 of 29 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation a9729609-df10-401d-8e88-8f9e48deef18 · outbound
Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users A Deep Learning Algorithm Based on CNN-LSTM Framework for Predicting Cancer Drug Sales Volume
Reference 1
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Observation ee82dd0b-b421-4c8f-94cc-b7279095acf2 · outbound
Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users Unresolved cited work
Reference 2
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Observation 8b95a12c-1d3b-4306-80ea-1b484d814adc · outbound
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
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Unavailable: canonical work link unavailable.
Observation 535f3f23-2972-4dd7-a59d-56f14d7a42d3 · outbound
Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users Machine Learning-Based Prediction of Metal-Organic Framework Materials: A Comparative Analysis of Multiple Models
Reference 4
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Observation 7de79aa0-7ad2-4052-8bfb-eb79596a73c8 · outbound
Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users Machine Learning based Enterprise Financial Audit Framework and High Risk Identification[J]
Reference 5
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Unavailable: canonical work link unavailable.
Observation dac3513a-0530-4248-aa81-846a62790e75 · outbound
Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users (2024, August)
Reference 7
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Unavailable: canonical work link unavailable.
Observation 4ec7402c-0a2e-4fe8-a56a-dc202a5a1357 · outbound
Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users An automatic patent literature retrieval system based on LLM-RAG
Reference 8
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Unavailable: canonical work link unavailable.
Observation 6c072d82-c022-40c4-b712-c0e6b066092a · outbound
Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users Unresolved cited work
Reference 9
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Observation a99aa8d8-60ae-4d74-86e4-a2cfbb3d2cd0 · outbound
Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users Dynamic Allocation Mechanism of Cloud Computing Resources Driven by Neural Network
Reference 10
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Unavailable: canonical work link unavailable.
Observation 5a2d8678-744e-481f-a02e-a3808b67795d · outbound
Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users Enhancing Code LLMs with Reinforcement Learning in Code Generation: A Survey
Reference 11
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Observation 1cbd824d-d1f8-49d9-bbf7-4ae34dc2ad54 · outbound
Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users Unresolved cited work
Reference 12
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Observation 1abcc661-bef6-401e-bf67-7861fe2fa391 · outbound
Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users Unresolved cited work
Reference 13
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Observation ae54c0ed-7165-4d1e-aacd-7f89a03f4910 · outbound
Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users Unresolved cited work
Reference 14
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Observation 4f5eb39f-8bd7-45da-b643-85b184eba39a · outbound
Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users & Wang, X
Reference 15
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Observation b7bd6588-b702-4b67-886c-2c62544b0b6d · outbound
Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users AR Overlay: Training Image Pose Estimation on Curved Surface in a Synthetic Way
Reference 16
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Unavailable: canonical work link unavailable.
Observation a29363fa-ae0a-427b-85fa-dbbda3e95856 · outbound
Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users Tie memories to e- souvenirs:Personalized souvenirswithaugmentedrealityforinteractive learninginthemuseum
Reference 17
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Unavailable: canonical work link unavailable.
Observation 5042fe7f-1505-4ae4-9d45-c271d0d1a542 · outbound
Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users Recurrent neural network from adder’s perspective:Carry-lookaheadRNN
Reference 18
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Observation 08a104b5-a435-46bb-8329-8907b02c64e3 · outbound
Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users Rough set improved therapy-based metaverse assisting system
Reference 19
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Observation 9d7ed422-8c3f-4f84-971f-a71a0286d9e4 · outbound
Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users Research on Splicing Image Detection Algorithms Based on Natural Image Statistical Characteristics
Reference 20
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Unavailable: canonical work link unavailable.
Observation 3e271bf1-4558-4c9b-9d8f-ff7f66650e5f · outbound
Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users Financial Analysis: Intelligent Financial Data Analysis System Based on LLM-RAG
Reference 21
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Unavailable: canonical work link unavailable.
Observation e828dabf-443f-484e-8ae0-982db3533cdb · outbound
Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users Research on the Design of a Short Video Recommendation System Based on Multimodal Information and Differential Privacy
Reference 22
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Unavailable: canonical work link unavailable.
Observation 76f265db-46e2-452c-bbd8-967fc5722143 · outbound
Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users Enhanced Recommendation Combining Collaborative Filtering and Large Language Models
Reference 23
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Observation b9413481-bd59-446f-a781-649faab666ad · outbound
Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users Decodingstudentcognitiveabilities:acomparative study of explainable AI algorithms in educational data mining
Reference 24
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Observation 7e5bd490-1dd3-420c-930c-d6751186cfe5 · outbound
Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs
Reference 25
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Observation cbf72c0f-fa0d-4ca6-8744-9506b34e04fd · outbound
Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users RLHF Fine-Tuning of LLMs for Alignment with Implicit User Feedback in Conversational Recommenders
Reference 26
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Unavailable: canonical work link unavailable.
Observation bdedbeaa-aff2-4d7d-87bf-4ba829f5e718 · outbound
Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users Bideeplab: An improved lightweight multi-scale feature fusion deeplab algorithm for facial recognition on mobile devices[J]
Reference 27
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Unavailable: canonical work link unavailable.
Observation 446364f2-7054-4f70-ac5e-6dafff26dd05 · outbound
Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users Unresolved cited work
Reference 28
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Observation 64438a9c-22b4-42ee-82f8-c709804ea80f · outbound
Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users Self-Supervised User Embedding Alignment for Cross-Domain Recommendations via Multi-LLM Co-Training
Reference 29
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Observation 304e5980-4df1-4b05-8c38-56065e002e23 · outbound
Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users Deep Learning Model Acceleration and Optimization Strategies for Real-Time Recommendation Systems
Reference 30
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No inbound Pith citation observations are available.