Paper Citation Record · LEDGER

Synthetic Consumer Insight Generation with Large Language Models

As of 9 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 0 inbound Pith citation observations for arXiv:2607.05761.

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

pith.paper-citation-record.v1
2607.05761 v1

Coverage vector

measured 5 of 5 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T02:22:45.862673Z

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

5 of 5 outbound references displayed

verified exact3
verified fuzzy0
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 44e353e1-a20c-4008-8d0a-4d710ad4c91d · outbound

This paper cites an unresolved cited work.

Synthetic Consumer Insight Generation with Large Language Models Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-07-11T02:27:50.413157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c2a36032-4b82-4c48-92a5-445426993370 · outbound

This paper cites Scaling Synthetic Data Creation with 1,000,000,000 Personas.

Synthetic Consumer Insight Generation with Large Language Models Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-11T02:27:47.641300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 07946474-8b5b-475d-92d1-ce07f8a731ba · outbound

This paper cites The Curious Case of Neural Text Degeneration.

Synthetic Consumer Insight Generation with Large Language Models The Curious Case of Neural Text Degeneration

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-07-11T02:27:47.695216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b58efa20-1425-4456-a538-006d4ec3398b · outbound

This paper cites Large Language Model Routing with Benchmark Datasets.

Synthetic Consumer Insight Generation with Large Language Models Large Language Model Routing with Benchmark Datasets

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-07-11T02:27:47.667921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5018278c-0554-4737-990c-b3c080f7dadf · outbound

This paper cites Does Synthetic Data Generation of LLMs Help Clinical Text Mining?.

Synthetic Consumer Insight Generation with Large Language Models Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-07-11T02:27:47.717255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.