Paper Citation Record · LEDGER

On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 32 inbound Pith citation observations for arXiv:2406.15126.

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

pith.paper-citation-record.v1
2406.15126 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:29:58.568816Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

6
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 890944fb-0147-4a33-afbe-c6476202fa84 · inbound

ShieldGemma: Generative AI Content Moderation Based on Gemma cites this paper.

ShieldGemma: Generative AI Content Moderation Based on Gemma On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:17:39.527398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 83cfefb7-5384-4832-8fec-07716a0c6b44 · inbound

Sustainability via LLM Right-sizing cites this paper.

Sustainability via LLM Right-sizing On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-22T19:25:03.702637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4c48cbe3-b118-422a-b45b-530734da7e96 · inbound

TF1-EN-3M: Three Million Synthetic Moral Fables for Training Small, Open Language Models cites this paper.

TF1-EN-3M: Three Million Synthetic Moral Fables for Training Small, Open Language Models On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T19:01:57.855097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 725c5199-8b6e-437d-b9e0-eb3305b62565 · inbound

JARVIS: A Multi-Agent Code Assistant for High-Quality EDA Script Generation cites this paper.

JARVIS: A Multi-Agent Code Assistant for High-Quality EDA Script Generation On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T15:29:58.568816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f413e2ad-43c6-4d89-a4db-76e344c06d18 · inbound

Large language model as user daily behavior data generator: balancing population diversity and individual personality cites this paper.

Large language model as user daily behavior data generator: balancing population diversity and individual personality On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:49:32.064271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6823ea5-7bdf-4c84-a979-7dd7cfc98994 · inbound

A Survey of LLM $\times$ DATA cites this paper.

A Survey of LLM $\times$ DATA On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 272

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:13.460742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e988690b-12a9-44ef-9570-b074cb7ce78d · inbound

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation cites this paper.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T14:00:31.486151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99359307-681a-4093-852c-b3bfbc5a5ed4 · inbound

Beyond Keywords: Evaluating Large Language Model Classification of Nuanced Ableism cites this paper.

Beyond Keywords: Evaluating Large Language Model Classification of Nuanced Ableism On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T13:56:04.125085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd5b2807-5380-4afa-b7fd-cb19bde98ccd · inbound

Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical Reasoning cites this paper.

Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical Reasoning On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:01.650048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8060b6a-96bb-4117-b0b6-c8d9a0695d7d · inbound

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs cites this paper.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T12:44:06.650241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c26e6a5-b823-4894-9ec8-1e16ed46b9f6 · inbound

Mind the Quote: Enabling Quotation-Aware Dialogue in LLMs via Plug-and-Play Modules cites this paper.

Mind the Quote: Enabling Quotation-Aware Dialogue in LLMs via Plug-and-Play Modules On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:30.421658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2696c1ba-bdf1-49a3-b809-0e61438c4ba9 · inbound

RefEdit: A Benchmark and Method for Improving Instruction-based Image Editing Model on Referring Expressions cites this paper.

RefEdit: A Benchmark and Method for Improving Instruction-based Image Editing Model on Referring Expressions On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T11:07:56.669407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bab40330-8c93-4715-950b-a85c840ea0ef · inbound

Does Prompt Design Impact Quality of Data Imputation by LLMs? cites this paper.

Does Prompt Design Impact Quality of Data Imputation by LLMs? On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T10:50:50.163370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93bbf116-0989-4c37-8b3c-b4001d090f20 · inbound

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration cites this paper.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:50.951802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 574188a8-7994-4b1b-aa44-c4fafaf13b44 · inbound

Unlocking the Potential of Large Language Models in the Nuclear Industry with Synthetic Data cites this paper.

Unlocking the Potential of Large Language Models in the Nuclear Industry with Synthetic Data On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T05:05:37.118238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcd82b9e-de32-48a2-8c7e-f66f1cbf1563 · inbound

MDBench: A Synthetic Multi-Document Reasoning Benchmark Generated with Knowledge Guidance cites this paper.

MDBench: A Synthetic Multi-Document Reasoning Benchmark Generated with Knowledge Guidance On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T00:14:06.967525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3dea55e-8b96-4cb9-97c7-39ffa85710e5 · inbound

Enterprise Large Language Model Evaluation Benchmark cites this paper.

Enterprise Large Language Model Evaluation Benchmark On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T22:56:32.834913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b340424-07fc-4105-aed3-5e3db21e1b0c · inbound

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead cites this paper.

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 235

Resolution: unresolved; no resolver link, observed 2026-08-06T21:36:40.094301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e4b5e67-e0bb-4d3f-bf5f-471fee0c1b7d · inbound

Multimodal Mathematical Reasoning with Diverse Solving Perspective cites this paper.

Multimodal Mathematical Reasoning with Diverse Solving Perspective On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-06T20:25:24.594546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3f078ea-e490-4762-8c9a-1bafb49c87b4 · inbound

A Penalty Goes a Long Way: Measuring Lexical Diversity in Synthetic Texts Under Prompt-Influenced Length Variations cites this paper.

A Penalty Goes a Long Way: Measuring Lexical Diversity in Synthetic Texts Under Prompt-Influenced Length Variations On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T15:46:27.789467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e77c0ea-1796-4f21-a6a5-65b116f4353f · inbound

StaAgent: An Agentic Framework for Testing Static Analyzers cites this paper.

StaAgent: An Agentic Framework for Testing Static Analyzers On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T15:50:37.908542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2638cc1b-afbf-463a-af2d-1ee6cb7c114c · inbound

Separation Logic of Generic Resources via Sheafeology cites this paper.

Separation Logic of Generic Resources via Sheafeology On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T05:22:29.785059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 712f1cf3-7c7d-49bc-8a5e-da308e5f1203 · inbound

Can Structured Templates Facilitate LLMs in Tackling Harder Tasks? : An Exploration of Scaling Laws by Difficulty cites this paper.

Can Structured Templates Facilitate LLMs in Tackling Harder Tasks? : An Exploration of Scaling Laws by Difficulty On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T16:02:03.543010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20af70e1-bc96-44b8-bc74-c32143b195a6 · inbound

Ensembling LLM-Induced Decision Trees for Explainable and Robust Error Detection cites this paper.

Ensembling LLM-Induced Decision Trees for Explainable and Robust Error Detection On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T18:04:30.736714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3266ee6-522b-4bee-9f24-2c6dec1c55d6 · inbound

Less is Enough: Synthesizing Diverse Data in LLM Feature Space with Sparse Autoencoders cites this paper.

Less is Enough: Synthesizing Diverse Data in LLM Feature Space with Sparse Autoencoders On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T01:17:11.752127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a659fb5e-e911-4f3a-ab29-9e12d0ff0099 · inbound

Evaluating Zero-Shot and One-Shot Adaptation of Small Language Models in Leader-Follower Interaction cites this paper.

Evaluating Zero-Shot and One-Shot Adaptation of Small Language Models in Leader-Follower Interaction On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T20:26:40.494982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c00e8b3-e66b-48be-b0ad-7a4b50ce7297 · inbound

Synthetic Data Generation for Brain-Computer Interfaces: Overview, Benchmarking, and Future Directions cites this paper.

Synthetic Data Generation for Brain-Computer Interfaces: Overview, Benchmarking, and Future Directions On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 119

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T11:30:02.555967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 23c81e38-a8d9-4451-b942-6d7d66a9dcde · inbound

STELLAR-E: a Synthetic, Tailored, End-to-end LLM Application Rigorous Evaluator cites this paper.

STELLAR-E: a Synthetic, Tailored, End-to-end LLM Application Rigorous Evaluator On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T22:01:10.900240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 504947f0-1718-445b-9340-02f3f479b4cc · inbound

Generalistic or Specific Embeddings, Which is Better? An Empirical Study on Search for Clinical Coding in Non-English Languages cites this paper.

Generalistic or Specific Embeddings, Which is Better? An Empirical Study on Search for Clinical Coding in Non-English Languages On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T07:33:14.004650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b07bf8c5-9b38-4291-b43e-1e213c5f7033 · inbound

EHRBench: An Automated and Reliable EHR-based Benchmark for Clinical Decision Making with LLMs cites this paper.

EHRBench: An Automated and Reliable EHR-based Benchmark for Clinical Decision Making with LLMs On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-06-29T06:43:10.450895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 743079c3-2c4b-4f49-959f-2c9ce247e40d · inbound

Afrispeech Semantics: Evaluating Audio Semantic Reasoning in Spoken Language Models Across Domains and Accents cites this paper.

Afrispeech Semantics: Evaluating Audio Semantic Reasoning in Spoken Language Models Across Domains and Accents On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 183

Resolution: verified exact; arxiv_id, observed 2026-06-30T22:15:05.703956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 12b1cfe5-285e-4912-9d0e-03f1aeea657f · inbound

Occupational Prompting Reveals Cultural Bias in Large Language Models cites this paper.

Occupational Prompting Reveals Cultural Bias in Large Language Models On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 39

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T18:04:57.826486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.