Paper Citation Record · LEDGER

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs

As of 10 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 2 inbound Pith citation observations for arXiv:2507.16672.

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

pith.paper-citation-record.v1
2507.16672 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:08:52.499794Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:59:25.321056Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T05:59:25.957189Z

Reference resolution

35 of 35 outbound references displayed

verified exact3
verified fuzzy9
unresolved21
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7df667c1-07eb-41fa-8272-4f0c15cb1d15 · outbound

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

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs II-NVM: Enhancing Map Accuracy and Consistency with Normal Vector-Assisted Mapping[J]

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:08:57.895025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3e05cb2e-3c5c-45a8-9839-4d030a67975c · outbound

This paper cites an unresolved cited work.

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:08:57.580359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0c46cefe-fdce-487e-8317-a77cf0136ae6 · outbound

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

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs Research on Splicing Image Detection Algorithms Based on Natural Image Statistical Characteristics

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T15:08:47.857102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7eec7d05-f191-4104-994e-8fd8dc945dad · outbound

This paper cites an unresolved cited work.

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T15:08:47.972809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b003d99e-b848-4d87-9232-684a586f53e9 · outbound

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

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs A Deep Learning Algorithm Based on CNN-LSTM Framework for Predicting Cancer Drug Sales Volume

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T15:08:48.150686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fdd8570-bd6f-4f9e-8119-a1f25af4ff4a · outbound

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

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs Machine Learning-Based Prediction of Metal-Organic Framework Materials: A Comparative Analysis of Multiple Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T15:08:48.244555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4051ed9f-5b06-4154-abf4-250bdf5919eb · outbound

This paper cites an unresolved cited work.

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:08:57.321958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 583b6e11-7f85-4e32-a1d1-ee26192543e2 · outbound

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

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image Reconstruction

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:08:53.568098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c3a1ba53-bcb8-4683-bbb3-c8bedb9d64c2 · outbound

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

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs Research on feature fusion and multimodal patent text based on graph attention network

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T15:08:48.749407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a5075a9-e5c0-4acd-ba01-699762f07aa0 · outbound

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

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs User Behavior Analysis in Privacy Protection with Large Language Models: A Study on Privacy Preferences with Limited Data

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T15:08:48.922393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4eefcbc-e984-44c1-8549-750830e2e5e0 · outbound

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

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs Research on Personalized Financial Product Recommendation by Integrating Large Language Models and Graph Neural Networks

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T15:08:49.123286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4e53f57-14fd-4786-bd21-84bfcb5524de · outbound

This paper cites IEEE, 2025:158-162.

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs IEEE, 2025:158-162

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:08:57.046833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 158d0869-3045-4855-9b8f-252d4f7fa71c · outbound

This paper cites an unresolved cited work.

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T15:08:49.468760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6da3ed2d-05e1-4507-b5ab-2764f672ed94 · outbound

This paper cites an unresolved cited work.

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:08:56.761000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b1503f1e-a45f-46ef-b99e-5dd9e8f680a4 · outbound

This paper cites A novel Tree-augmented Bayesian network for predicting rock weathering degree using incomplete dataset[J].InternationalJournalofRockMechanicsandMiningSciences, 2024,183:105933.

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs A novel Tree-augmented Bayesian network for predicting rock weathering degree using incomplete dataset[J].InternationalJournalofRockMechanicsandMiningSciences, 2024,183:105933

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:08:56.540427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4fed4113-0c89-4e5e-994a-5344733f28a0 · outbound

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

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs Psychological Health Knowledge-Enhanced LLM-based Social Network Crisis Intervention Text Transfer Recognition Method

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:08:53.262938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 822c0adc-b68e-4df2-8466-da397d360097 · outbound

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

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs Rock mass quality prediction on tunnel faces with incomplete multi-source dataset via tree-augmented naive Bayesian network[J]

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:08:56.210550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c3bdb5aa-6796-489f-ae58-1f0b9f09b600 · outbound

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

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs Research on Multi-Modal Retrieval System of E-Commerce Platform Based on Pre-Training Model

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:08:55.985676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a21f5c94-812e-4386-84c8-90ea9537dc2e · outbound

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

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs Research on E-Commerce Long-Tail Product Recommendation Mechanism Based on Large-Scale Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T15:08:50.454847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d01dfe0-af4f-4225-8e1a-0c80b1d6a065 · outbound

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

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs Personalized Risks and Regulatory Strategies of Large Language Models in Digital Advertising

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:08:53.045547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f8e30f41-8b34-43e3-b9bd-69bff636c786 · outbound

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

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs Enhancing Code LLMs with Reinforcement Learning in Code Generation: A Survey

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T15:08:50.804262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6104aef1-22f3-417d-9369-7fe18ec905c1 · outbound

This paper cites Regression and forecasting of us stock returns based on lstm.

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs Regression and forecasting of us stock returns based on lstm

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:08:55.677947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0f237a5b-4183-4163-b142-38c190318a2b · 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.

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs 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 23

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T15:08:55.399557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 925f2bab-c7b2-41ab-828f-9ece3643f1f5 · outbound

This paper cites an unresolved cited work.

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:08:55.136405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 29bb2168-0e98-4bfe-b5d2-54f5ebd11ea6 · outbound

This paper cites an unresolved cited work.

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:08:54.814240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9da0ce04-5dcb-4aa6-a7d6-c148eb9602ff · outbound

This paper cites Application ofAI inReal-time Credit Risk Detection[J].2025.

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs Application ofAI inReal-time Credit Risk Detection[J].2025

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:08:54.497572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c1e45e2a-7f14-4ecd-b17a-99779b75d99e · outbound

This paper cites & Shi, T.

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs & Shi, T

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T15:08:51.869890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec7168f4-24e0-4ff2-bd03-ff108a22403c · outbound

This paper cites (2024, August).

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs (2024, August)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:08:54.214917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c4c91af9-857c-4470-ada4-09420977a644 · outbound

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

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs Research on the Design of a Short Video Recommendation System Based on Multimodal Information and Differential Privacy

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T15:08:52.215334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cf0996f-a1d8-485e-bcdc-3af3a3b29f94 · outbound

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

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs Enhanced Recommendation Combining Collaborative Filtering and Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T15:08:52.297620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8de27c5-cb33-4e04-bf14-04c280f27d63 · outbound

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

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T15:08:52.322850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 457b4b2e-b90b-4a3f-a449-95d6fab1959a · outbound

This paper cites Ad Placement Optimization Algorithm Combined with MachineLearninginInternetE-Commerce[J].2025.

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs Ad Placement Optimization Algorithm Combined with MachineLearninginInternetE-Commerce[J].2025

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:08:53.890911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6a6499f1-632d-4462-b02f-400660ebc166 · outbound

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

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs Financial Analysis: Intelligent Financial Data Analysis System Based on LLM-RAG

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T15:08:52.383159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0ed98df-6c8a-4f70-8177-ab03fe5adef0 · outbound

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

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs Generating Multimodal Images with GAN: Integrating Text, Image, and Style

Reference 34

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T15:08:52.698169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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

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

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation fa01b973-e85e-4c94-bfc0-6fab0053985b · inbound

Multimodal Foundation Model-Driven User Interest Modeling and Behavior Analysis on Short Video Platforms cites this paper.

Multimodal Foundation Model-Driven User Interest Modeling and Behavior Analysis on Short Video Platforms Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:59:25.961265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7e5bd490-1dd3-420c-930c-d6751186cfe5 · 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 Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T19:46:41.481942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.