Paper Citation Record · LEDGER

Privacy-Preserving Synthetic Review Generation with Diverse Writing Styles Using LLMs

As of 17 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 1 inbound Pith citation observation for arXiv:2507.18055.

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

pith.paper-citation-record.v1
2507.18055 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:43:30.905284Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T23:43:05.423799Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

19 of 19 outbound references displayed

verified exact0
verified fuzzy12
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 07fe07c5-6d8d-4ad3-9ed7-9a82238dc1dd · outbound

This paper cites Generative AI for Synthetic Data Generation: Methods, Challenges and the Future.

Privacy-Preserving Synthetic Review Generation with Diverse Writing Styles Using LLMs Generative AI for Synthetic Data Generation: Methods, Challenges and the Future

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T14:43:28.885311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1f52099-b92f-47b6-9d07-143fdc29dfaa · outbound

This paper cites Synthetic Data in AI: Challenges, Applications, and Ethical Implications.

Privacy-Preserving Synthetic Review Generation with Diverse Writing Styles Using LLMs Synthetic Data in AI: Challenges, Applications, and Ethical Implications

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T14:43:28.979022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bf9f5f8-1532-458e-b6cd-e8e137588b1a · outbound

This paper cites Extracting training data from large language models.

Privacy-Preserving Synthetic Review Generation with Diverse Writing Styles Using LLMs Extracting training data from large language models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T14:43:29.064360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3da9d12-ace7-4510-a590-9919dcbd39d7 · outbound

This paper cites Security and privacy challenges of large language models: A survey.ACM Computing Surveys, 57(6):1–39, 2025.

Privacy-Preserving Synthetic Review Generation with Diverse Writing Styles Using LLMs Security and privacy challenges of large language models: A survey.ACM Computing Surveys, 57(6):1–39, 2025

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T14:43:29.202971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2820e3f1-a4ea-489b-bc0f-86783df570f0 · outbound

This paper cites Evaluating large language models in generating synthetic hci research data: a case study.

Privacy-Preserving Synthetic Review Generation with Diverse Writing Styles Using LLMs Evaluating large language models in generating synthetic hci research data: a case study

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:43:33.656799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e7cc00ab-b9ee-46c9-a5fb-52b4d7868f32 · outbound

This paper cites an unresolved cited work.

Privacy-Preserving Synthetic Review Generation with Diverse Writing Styles Using LLMs Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:43:33.445971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e8dc92ce-77ef-46a8-934a-37309d503710 · outbound

This paper cites Siu, Byron C.

Privacy-Preserving Synthetic Review Generation with Diverse Writing Styles Using LLMs Siu, Byron C

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:43:33.288280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b54b1180-67fc-43aa-8a3a-b9da7ac3e24a · outbound

This paper cites Neural review rating prediction with user and product memory.

Privacy-Preserving Synthetic Review Generation with Diverse Writing Styles Using LLMs Neural review rating prediction with user and product memory

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:43:33.111569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b18bae4f-53a2-4eb1-b9f7-0bac598d4124 · outbound

This paper cites Jointly measuring diversity and quality in text generation models, 2019.

Privacy-Preserving Synthetic Review Generation with Diverse Writing Styles Using LLMs Jointly measuring diversity and quality in text generation models, 2019

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T14:43:29.795320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fcf71af-0a5c-4d54-b847-7aa98ca8560c · outbound

This paper cites Lautrup, Tobias Hyrup, Arthur Zimek, and Peter Schneider-Kamp.

Privacy-Preserving Synthetic Review Generation with Diverse Writing Styles Using LLMs Lautrup, Tobias Hyrup, Arthur Zimek, and Peter Schneider-Kamp

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:43:32.948413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4a14cdd5-e996-4f5d-bf35-f7c077786f05 · outbound

This paper cites Della Vedova, Daniele Tessera, Daniele Toti, and Nicola Vanoli.

Privacy-Preserving Synthetic Review Generation with Diverse Writing Styles Using LLMs Della Vedova, Daniele Tessera, Daniele Toti, and Nicola Vanoli

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:43:32.761295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7f42d7f7-c46a-4d6f-8511-b603a94d9871 · outbound

This paper cites Real risks of fake data: Synthetic data, diversity-washing and consent circumvention.

Privacy-Preserving Synthetic Review Generation with Diverse Writing Styles Using LLMs Real risks of fake data: Synthetic data, diversity-washing and consent circumvention

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:43:32.559264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a11426cc-f9d7-41d9-8d96-93e79af1b396 · outbound

This paper cites A comprehensive review of current trends, challenges, and opportunities in text data privacy.Computers & Security, 151:104358, 2025.

Privacy-Preserving Synthetic Review Generation with Diverse Writing Styles Using LLMs A comprehensive review of current trends, challenges, and opportunities in text data privacy.Computers & Security, 151:104358, 2025

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:43:32.354203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4721f788-142f-474b-90e6-cf5c614cc32a · outbound

This paper cites an unresolved cited work.

Privacy-Preserving Synthetic Review Generation with Diverse Writing Styles Using LLMs Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:43:32.148452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 13720b7a-c11c-4037-9d57-cde4e54bae5c · outbound

This paper cites Flair: An easy-to-use framework for state-of-the-art nlp.

Privacy-Preserving Synthetic Review Generation with Diverse Writing Styles Using LLMs Flair: An easy-to-use framework for state-of-the-art nlp

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:43:31.968489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation acb65443-d06e-4cbe-a1c8-6e72b709789f · outbound

This paper cites the", "is.

Privacy-Preserving Synthetic Review Generation with Diverse Writing Styles Using LLMs the", "is

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:43:31.776473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2737e222-924a-48e7-bff0-95f1fd34324b · outbound

This paper cites Fell apart after a couple washes.

Privacy-Preserving Synthetic Review Generation with Diverse Writing Styles Using LLMs Fell apart after a couple washes

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:43:31.569623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7f50b40c-401a-451e-8874-c05145b2c98f · outbound

This paper cites my daughter,.

Privacy-Preserving Synthetic Review Generation with Diverse Writing Styles Using LLMs my daughter,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:43:31.353849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6759d421-0a3f-42a2-aaa1-81c9f1108541 · outbound

This paper cites Figure 6 shows this distribution, where each value reflects how similar a user’s writing style is to the rest of the population.

Privacy-Preserving Synthetic Review Generation with Diverse Writing Styles Using LLMs Figure 6 shows this distribution, where each value reflects how similar a user’s writing style is to the rest of the population

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:43:31.132461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation 33449d48-ee6b-4199-b1c5-e86cb48708a2 · inbound

Partition, Prompt, Aggregate: Statistical Self-Consistency in Language Models cites this paper.

Partition, Prompt, Aggregate: Statistical Self-Consistency in Language Models Privacy-Preserving Synthetic Review Generation with Diverse Writing Styles Using LLMs

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T23:43:05.423799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.