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Paper Citation Record · LEDGER

Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users

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.

pith.paper-citation-record.v1
2509.09066 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:46:41.592023Z

measured 29 of 29 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

29 of 29 outbound references displayed

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External citation measurements

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Outbound references

Observation a9729609-df10-401d-8e88-8f9e48deef18 · outbound

This paper cites A Deep Learning Algorithm Based on CNN-LSTM Framework for Predicting Cancer Drug Sales Volume.

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

This paper cites an unresolved cited work.

Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users Unresolved cited work

Reference 2

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source=pdf_text observed=2026-08-04T19:46:41.361690Z digest=sha256:67ad123e8c0ae8116dfe519dd8a5eba340af30be60eaf026b1495eaa3a5c9fda

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

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

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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Observation 535f3f23-2972-4dd7-a59d-56f14d7a42d3 · outbound

This paper cites Machine Learning-Based Prediction of Metal-Organic Framework Materials: A Comparative Analysis of Multiple Models.

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

This paper cites Machine Learning based Enterprise Financial Audit Framework and High Risk Identification[J].

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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source=pdf_text observed=2026-08-04T19:46:41.377055Z digest=sha256:3d4f227a06773cc138d8fbf8c2bee1ffe99e3fdb3673122663a0848e3673b5e9

Observation dac3513a-0530-4248-aa81-846a62790e75 · outbound

This paper cites (2024, August).

Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users (2024, August)

Reference 7

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source=pdf_text observed=2026-08-04T19:46:41.384074Z digest=sha256:82fdbf3eeb62a1c0d2f582ff5094a90cbf799f996f0b25aec2ca916ac7eb30f1

Observation 4ec7402c-0a2e-4fe8-a56a-dc202a5a1357 · outbound

This paper cites An automatic patent literature retrieval system based on LLM-RAG.

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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source=pdf_text observed=2026-08-04T19:46:41.388161Z digest=sha256:ac0f1a3d44631177af1c43b73527b2b35432497b179f1e6a340ecd4241245653

Observation 6c072d82-c022-40c4-b712-c0e6b066092a · outbound

This paper cites an unresolved cited work.

Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users Unresolved cited work

Reference 9

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source=pdf_text observed=2026-08-04T19:46:41.391745Z digest=sha256:ad563d8003fcd69c40e08fc98acce8136ca6be9bff87a4c1c74a94d07e83b836

Observation a99aa8d8-60ae-4d74-86e4-a2cfbb3d2cd0 · outbound

This paper cites Dynamic Allocation Mechanism of Cloud Computing Resources Driven by Neural Network.

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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source=pdf_text observed=2026-08-04T19:46:41.395213Z digest=sha256:2233a66f368d9f2deff2c5de24c1ecddef1aefb0c01c8cd872ac8e31c5aa9bfe

Observation 5a2d8678-744e-481f-a02e-a3808b67795d · outbound

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

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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source=pdf_text observed=2026-08-04T19:46:41.398759Z digest=sha256:399405ad90430772993ffa777d9594363b635b9b13962df2139660c5d05a626c

Observation 1cbd824d-d1f8-49d9-bbf7-4ae34dc2ad54 · outbound

This paper cites an unresolved cited work.

Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users Unresolved cited work

Reference 12

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source=pdf_text observed=2026-08-04T19:46:41.402331Z digest=sha256:52adb774008f61ad801218dc698bd073bec4b7feed6663ec3a7cf1f4a3f57cd3

Observation 1abcc661-bef6-401e-bf67-7861fe2fa391 · outbound

This paper cites an unresolved cited work.

Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users Unresolved cited work

Reference 13

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source=pdf_text observed=2026-08-04T19:46:41.406301Z digest=sha256:d177fae3713987951425f854f9f1f05206d5c3d6680782373125b0946a5a1685

Observation ae54c0ed-7165-4d1e-aacd-7f89a03f4910 · outbound

This paper cites an unresolved cited work.

Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users Unresolved cited work

Reference 14

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source=pdf_text observed=2026-08-04T19:46:41.410035Z digest=sha256:60f2d8fdc7f1d2f3ff07c6860b8784a981d62f094ba234b35d6068b470edbdd0

Observation 4f5eb39f-8bd7-45da-b643-85b184eba39a · outbound

This paper cites & Wang, X.

Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users & Wang, X

Reference 15

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source=pdf_text observed=2026-08-04T19:46:41.413575Z digest=sha256:2cd305d81c61aecb3a44eab8020a302606ee5fd6bc27ed0d7eac05aca843ac0f

Observation b7bd6588-b702-4b67-886c-2c62544b0b6d · outbound

This paper cites AR Overlay: Training Image Pose Estimation on Curved Surface in a Synthetic Way.

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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source=pdf_text observed=2026-08-04T19:46:41.416989Z digest=sha256:c73e650cef25f07f4f47f0cf9cde7b212a7ccacd1cb607fd4e0841c322d1cced

Observation a29363fa-ae0a-427b-85fa-dbbda3e95856 · outbound

This paper cites Tie memories to e- souvenirs:Personalized souvenirswithaugmentedrealityforinteractive learninginthemuseum.

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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source=pdf_text observed=2026-08-04T19:46:41.421783Z digest=sha256:add1ad9380d07c80e4f15f16799508f4c3968bb62f71a6953982a96086f77728

Observation 5042fe7f-1505-4ae4-9d45-c271d0d1a542 · outbound

This paper cites Recurrent neural network from adder’s perspective:Carry-lookaheadRNN.

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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source=pdf_text observed=2026-08-04T19:46:41.426160Z digest=sha256:76074daa9b598eb16a6a3ce433e2d03254900338572e9780cc83ae30a1e48d57

Observation 08a104b5-a435-46bb-8329-8907b02c64e3 · outbound

This paper cites Rough set improved therapy-based metaverse assisting system.

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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source=pdf_text observed=2026-08-04T19:46:41.431988Z digest=sha256:e72049caed2b20affdcbb775d8aac0d7ca05d546f6528077e69bf2ab8ddd1b73

Observation 9d7ed422-8c3f-4f84-971f-a71a0286d9e4 · outbound

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

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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source=pdf_text observed=2026-08-04T19:46:41.439373Z digest=sha256:f34581c2b10f852994476af43adacb479c0c7dc478f1066e30df35e1ddce0803

Observation 3e271bf1-4558-4c9b-9d8f-ff7f66650e5f · outbound

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

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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Observation e828dabf-443f-484e-8ae0-982db3533cdb · outbound

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

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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Observation 76f265db-46e2-452c-bbd8-967fc5722143 · outbound

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

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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source=pdf_text observed=2026-08-04T19:46:41.465794Z digest=sha256:27546c16625a0fe183342dad56687ae5130f1abe6a17ec3d1ee2af4efdd3ee7b

Observation b9413481-bd59-446f-a781-649faab666ad · outbound

This paper cites Decodingstudentcognitiveabilities:acomparative study of explainable AI algorithms in educational data mining.

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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source=pdf_text observed=2026-08-04T19:46:41.474536Z digest=sha256:008d43852a7c28f712ea4d109aac633e32a23ba950f77f8a24abec468f1ba39e

Observation 7e5bd490-1dd3-420c-930c-d6751186cfe5 · outbound

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

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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source=pdf_text observed=2026-08-04T19:46:41.481942Z digest=sha256:5cd17b542e31d238145570cc5da0d07b59324ec340a0b8fe3d5f0205ad8a30bb

Observation cbf72c0f-fa0d-4ca6-8744-9506b34e04fd · outbound

This paper cites RLHF Fine-Tuning of LLMs for Alignment with Implicit User Feedback in Conversational Recommenders.

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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source=pdf_text observed=2026-08-04T19:46:41.489691Z digest=sha256:2abd397a03693a076b6a52962015eae4e004f7771efd6f2a0579eda0d437bf40

Observation bdedbeaa-aff2-4d7d-87bf-4ba829f5e718 · outbound

This paper cites Bideeplab: An improved lightweight multi-scale feature fusion deeplab algorithm for facial recognition on mobile devices[J].

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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Observation 446364f2-7054-4f70-ac5e-6dafff26dd05 · outbound

This paper cites an unresolved cited work.

Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users Unresolved cited work

Reference 28

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source=pdf_text observed=2026-08-04T19:46:41.516684Z digest=sha256:4117f56a29e49ed20ca6857af260a3b4ad0d55f78aa7d9a8a7157b542b458c1b

Observation 64438a9c-22b4-42ee-82f8-c709804ea80f · outbound

This paper cites Self-Supervised User Embedding Alignment for Cross-Domain Recommendations via Multi-LLM Co-Training.

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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source=pdf_text observed=2026-08-04T19:46:41.533961Z digest=sha256:a9ee7c00d5f9f3d59453087350252ef0480d3a0e220205d91ee8bb83c2377759

Observation 304e5980-4df1-4b05-8c38-56065e002e23 · outbound

This paper cites Deep Learning Model Acceleration and Optimization Strategies for Real-Time Recommendation Systems.

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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source=pdf_text observed=2026-08-04T19:46:41.592023Z digest=sha256:157d7eb01a621c2565e88fed2b196d12caa505c982c7881e15fc14e7320bbe00

Pith citing papers

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