Paper Citation Record · LEDGER

Personalized Risks and Regulatory Strategies of Large Language Models in Digital Advertising

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2505.04665.

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

pith.paper-citation-record.v1
2505.04665 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:51:12.193075Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:08:52.944006Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8b9ce039-c6bc-4605-adf6-5df8256331ed · inbound

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

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion Personalized Risks and Regulatory Strategies of Large Language Models in Digital Advertising

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:12.193075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b05571ed-d463-4348-93cd-11266128b275 · inbound

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

Research on Personalized Financial Product Recommendation by Integrating Large Language Models and Graph Neural Networks Personalized Risks and Regulatory Strategies of Large Language Models in Digital Advertising

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T10:16:54.346273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82a0161c-2cc0-460d-b8f3-6e6f97a502db · inbound

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

Deep Learning Model Acceleration and Optimization Strategies for Real-Time Recommendation Systems Personalized Risks and Regulatory Strategies of Large Language Models in Digital Advertising

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T04:13:33.620134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa97fbc0-b2a7-4d60-b6d4-dcc15459af71 · inbound

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems cites this paper.

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems Personalized Risks and Regulatory Strategies of Large Language Models in Digital Advertising

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:18.206266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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 2026-08-08T06:32:00.761636+00:00.

Observation d0509d08-0129-404d-b7aa-622430e8baed · inbound

Human-AI Co-Creation: A Framework for Collaborative Design in Intelligent Systems cites this paper.

Human-AI Co-Creation: A Framework for Collaborative Design in Intelligent Systems Personalized Risks and Regulatory Strategies of Large Language Models in Digital Advertising

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-06T15:18:23.185658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.