Paper Citation Record · LEDGER

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

As of 23 August 2026, this Paper Citation Record lists 3 of 3 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 3 of 3 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:39:54.723408Z

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

3 of 3 outbound references displayed

verified exact0
verified fuzzy2
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 53f3d7db-2330-4e0d-90a8-e8e2c0f31e72 · outbound

This paper cites Consumers' perception on artificial intelligence applications in marketing communication[J].

Personalized Risks and Regulatory Strategies of Large Language Models in Digital Advertising Consumers' perception on artificial intelligence applications in marketing communication[J]

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:39:54.806756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1b2b1ef5-9025-4f2b-87bd-69fa167a329a · outbound

This paper cites Digital marketing in tourism: a review of practices in the USA and Africa[J].

Personalized Risks and Regulatory Strategies of Large Language Models in Digital Advertising Digital marketing in tourism: a review of practices in the USA and Africa[J]

Reference 259

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:39:54.789818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 87a4740d-737f-4e8c-8b7d-80e1d538f205 · outbound

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

Personalized Risks and Regulatory Strategies of Large Language Models in Digital Advertising Psychological Health Knowledge-Enhanced LLM-based Social Network Crisis Intervention Text Transfer Recognition Method

Reference 1105

Resolution: unresolved; no resolver link, observed 2026-08-15T23:39:54.723408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-23T06:30:58.430688+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.