Paper Citation Record · LEDGER

Generating Faithful Synthetic Data with Large Language Models: A Case Study in Computational Social Science

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2305.15041.

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

pith.paper-citation-record.v1
2305.15041 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 2026-08-16T06:30:59.297886+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:22:35.439882Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T15:23:32.682880Z

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 d3d6b099-a9ce-4e44-8e7e-734088c563ce · inbound

Adaptable Embeddings Network (AEN) cites this paper.

Adaptable Embeddings Network (AEN) Generating Faithful Synthetic Data with Large Language Models: A Case Study in Computational Social Science

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:59.285929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbeeccdb-f441-4a2b-b1c3-caf69fb98042 · inbound

LLM for Barcodes: Generating Diverse Synthetic Data for Identity Documents cites this paper.

LLM for Barcodes: Generating Diverse Synthetic Data for Identity Documents Generating Faithful Synthetic Data with Large Language Models: A Case Study in Computational Social Science

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T14:42:38.786370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 804da3c2-b60a-4b11-9a76-d635fb9ad4a4 · inbound

Language Agents as Digital Representatives in Collective Decision-Making cites this paper.

Language Agents as Digital Representatives in Collective Decision-Making Generating Faithful Synthetic Data with Large Language Models: A Case Study in Computational Social Science

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T21:50:02.897472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bde78c4-a34c-4528-947f-ea9bd71b88d5 · inbound

Towards High-Fidelity Synthetic Multi-platform Social Media Datasets via Large Language Models cites this paper.

Towards High-Fidelity Synthetic Multi-platform Social Media Datasets via Large Language Models Generating Faithful Synthetic Data with Large Language Models: A Case Study in Computational Social Science

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-16T04:22:35.439882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2306a272-fc10-491b-98a4-90e2bf3eb8cd · inbound

Mitigating Trojanized Prompt Chains in Educational LLM Use Cases: Experimental Findings and Detection Tool Design cites this paper.

Mitigating Trojanized Prompt Chains in Educational LLM Use Cases: Experimental Findings and Detection Tool Design Generating Faithful Synthetic Data with Large Language Models: A Case Study in Computational Social Science

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T17:23:27.757486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f0f8490-1ca4-4160-ae95-1eea5612ee20 · inbound

Agents of Diffusion: Enhancing Diffusion Language Models with Multi-Agent Reinforcement Learning for Structured Data Generation (Extended Version) cites this paper.

Agents of Diffusion: Enhancing Diffusion Language Models with Multi-Agent Reinforcement Learning for Structured Data Generation (Extended Version) Generating Faithful Synthetic Data with Large Language Models: A Case Study in Computational Social Science

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-03T11:14:51.765783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7d7d7ee-c6c9-45da-b001-a0adcd43ac9e · inbound

Evolving and Detecting Multi-Turn Deception using Geometric Signatures cites this paper.

Evolving and Detecting Multi-Turn Deception using Geometric Signatures Generating Faithful Synthetic Data with Large Language Models: A Case Study in Computational Social Science

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-29T15:23:32.684483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.