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Paper Citation Record · LEDGER

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

As of 19 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 2026-08-18T06:34:40.430872+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:efffb19507143e724674db6ad4a6ce7c9a52ad83627f46de41bbfc3cade78873

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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source=pdf_text observed=2026-08-04T19:46:41.372134Z digest=sha256:26fbc596ed969cb51590390b8987530e3315c66c0179a8df0d6654759e08a96e

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=sha256:289182be55e5b7d22322b88b9805c397a109cd39e794a404bd830af50975d26d

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=sha256:6324e7d47eed02153aa249850786ad863f1f32dc8397d771d04fb1ce160e921f

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=sha256:473ad7efa3feb34da4b8860b9c50d6b2aaa5ae8ff3b4faeac5d6e19e4a4c5280

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=sha256:81ea50b43bedeee2a94c336350b8a1b27e6ddac30a87017e7e294254aa27827c

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=sha256:188de71b26d87d83353b25b46ee5aa9fb59a18f85da137625cd29ba4e1ea698c

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:fa5e1706e4cfe89ebc66be155f40609acebb8e1737eb2451dc813483be38ea7e

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=sha256:89cad2dbae6fceea9b28a925e49bd86ca6668ec72b83f60f4da1982ce713e621

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:fed8122c32bc0b0b44f65200b7034c619741aa0e800ae236a8adc23bce32ca3a

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=sha256:6e8a0f2db81c6b0ca67fc3dab07113099f95f624907a98ce64efc446374e3ecc

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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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=sha256:2e32a2a867a2e35c196ff9882475bc4b5106b407fa859baa1cf8f42847e88a87

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=sha256:9e1fda844933ef77317ca7a2fe52a6bfdca50e0a67602a38e5a750b0c8d8b730

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:aceb31c04d749e380f35c8bd0123185815dd06d9a90209aafccd491ba997acda

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:f3edfab554a7fa8648c8465c24c1c25693b5081c62167d6946fa99641e98adf8

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:a7f10d7cc06e6cf72192eab5722d3ee0d2d9e2da248973e9e6551f31b43f9310

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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source=pdf_text observed=2026-08-04T19:46:41.447390Z digest=sha256:d1b57eeaa3bb6367cef7c42f3f0aae81a29bc07ac046a8402eb4f370926c74bd

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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source=pdf_text observed=2026-08-04T19:46:41.456017Z digest=sha256:f90eaf15f7cc0feb1fe7dc98173f5a3ac14dfda7e22af91c3e845370a50dea2b

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=sha256:3f8305f180bb78584115f4b9627eec7fddccd9aa419515dc9b73e3242ec2c5b1

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=sha256:06e9c97705e4036f8eb1a37d304b29252928b0133794915f196e6d1dccdf01e5

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:f07e7f6e50d47fae2b0cb613468faaf5de46fc0afa5682a55fe81f77ede12ac0

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:bb7eb6089a93e208e6dee7d689f74393f37dd5ce30ac8205cd9ff2b43fd141e0

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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source=pdf_text observed=2026-08-04T19:46:41.499048Z digest=sha256:f9fa056c4bc45087d580041f1b1bf778a98a22717f2c30b2d92e91de6f25cd58

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=sha256:4e8ea5344748e2cd28f550b04140646ec6b0f53fe446f38c3efc2a9d7745443a

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:e10af5e5345caac5e4352218c2fe5f2e76d61a2d0cc9d7764eba85870020d7b6

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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Pith citing papers

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