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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 37 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 37 of 37 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 37 of 37 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:52:46.505878Z

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

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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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T13:17:39.444002Z digest=sha256:170a997b06541f5bc9c014dfd3e2c88211cc42f1ffd07b211cfcdecebf2113b7

Observation 4defbc41-2b4f-443d-b9d7-b2b42e665400 · inbound

OceanChat: The Effect of Virtual Conversational AI Agents on Sustainable Attitude and Behavior Change cites this paper.

OceanChat: The Effect of Virtual Conversational AI Agents on Sustainable Attitude and Behavior Change On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 31

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source=pdf_text observed=2026-08-09T10:52:46.505878Z digest=sha256:bc0593d158cda443d557671e8a0a64b1f557910ca7e1d310f2f5def97b1c02df

Observation 23228c18-f2e8-4730-97fe-aa44f885fcff · inbound

LLMs can be easily Confused by Instructional Distractions cites this paper.

LLMs can be easily Confused by Instructional Distractions On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 20

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source=arxiv_source observed=2026-08-09T10:50:12.345590Z digest=sha256:e03c2dd3934812c3dc0e6433428746b16942ffab7987b48f3ab33f655ffc592d

Observation e238ed7d-d92f-4022-b544-da65095d585e · inbound

Salamandra Technical Report cites this paper.

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

Reference 123

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:58:33.127252Z digest=sha256:ff8de5d9b8f56f721a92bfb9e12849e9089e7c44a136e20965fbc606248829ec

Observation 47a8d6a7-e4ec-4d07-b961-9eb6cd52bc93 · inbound

Measuring Diversity in Synthetic Datasets cites this paper.

Measuring Diversity in Synthetic Datasets On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 48

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source=arxiv_source observed=2026-08-08T04:54:50.783032Z digest=sha256:3379ef2e816bffaf39a8213f8a239be0da676d76ba1faa32cbd3600a21363990

Observation f6c3afb6-5661-4ef6-9c40-b6966b13cfa6 · inbound

Few-shot LLM Synthetic Data with Distribution Matching cites this paper.

Few-shot LLM Synthetic Data with Distribution Matching On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 29

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no resolver link, observed 2026-08-08T17:20:36.520045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:20:36.520045Z digest=sha256:37438ffedf9278d0097b52c60dfe3db22c1adcd984ce1e2119d4d3680cb61d77

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T19:24:58.690462Z digest=sha256:f05fe30e4e1a838355c48bd23167cfdadb1aacaec7f88fd8df79ce99d4528d39

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T19:01:42.307514Z digest=sha256:9cf60b086d511401ba3f1f9aa3e0bec7a56743126a98f709170ef5a652ca89ab

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:29:58.568816Z digest=sha256:fae6de52907b6812b8009454871643256850aa96223fb8f2669b6b24bd95bcd2

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

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

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source=arxiv_source observed=2026-08-07T14:49:32.064271Z digest=sha256:fb0a8e43d8229516c9a13b9b5b2b892818cf5e4426f1ad62687ea9be8c6c0b1b

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:13.460742Z digest=sha256:7401b1a3d7a672cc49ceffbf1847d2e51a4e03e36ef3dba0876193794859a9e2

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:00:31.486151Z digest=sha256:577f73115964816d2fa2f52a6cd0e7dfd3b021540d25754869d1d6bd89296553

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:56:04.125085Z digest=sha256:43417434f9078bc01eac9a1cc882c501e869a696f0926a8c79d2d9aa9dee5daf

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

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source=pdf_text observed=2026-08-07T13:08:01.650048Z digest=sha256:f3d6f1be25587e1c035eb4a35940dc90fe56e70e3cc073a91d4945abdb1a6cb8

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:44:06.650241Z digest=sha256:9fd7ada85a22ea3035b984b2288e84cff04a573f579289115954f531bad843ac

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:35:30.421658Z digest=sha256:947fcde9ed22f493b02b1ba029c3f7687e3a6a527d5dd8fabda737bf9adb4169

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:07:56.669407Z digest=sha256:0950574f6f9306181fbc5fbccefc3f79b0b552607c7699eca6b6d992d7e6f58f

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

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

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source=arxiv_source observed=2026-08-07T10:50:50.163370Z digest=sha256:2e37bbd1aa87251dab58f849f66cd715eb967fb2d812909158c72070552f58bb

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

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source=pdf_text observed=2026-08-07T05:33:50.951802Z digest=sha256:454f89b3c3b49a21cc7421f9c7136d958cb0b89bf3488837e61e87dcc1559622

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:05:37.118238Z digest=sha256:6ff1084f199d020aca0663d1ab31e9dd9003601172a2e16166367cd611b64763

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

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

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source=arxiv_source observed=2026-08-07T00:14:06.967525Z digest=sha256:d386c180580a5897f72c23db1c3362b52f38feb93623e5829a79b273cde95882

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

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

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source=pdf_text observed=2026-08-06T22:56:32.834913Z digest=sha256:55f935073dfc52c09bb72ac284159eec73ba7719f2c894fe69db143c5412c847

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

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

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source=pdf_text observed=2026-08-06T21:36:40.094301Z digest=sha256:08c3af945bdd59b3a30905703fabe59d5255ea7bf619557c47a8ea0833c0f437

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

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source=pdf_text observed=2026-08-06T20:25:24.594546Z digest=sha256:1125fcb7dc896596ba06b5c2fd6bdfc3e79f339f72ec673f1b66c648356f6a8e

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

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

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source=arxiv_source observed=2026-08-06T15:46:27.789467Z digest=sha256:ba9de3c35c7b7fdcd7acd51b46f8bddbeb8c0954fb77c2e9e66c9567f7b21e6e

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

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source=pdf_text observed=2026-08-06T15:50:37.908542Z digest=sha256:96acf8c1601f84967eb94318889c78ec23a7448d354ea0a474baf652c0ad22d7

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:22:29.785059Z digest=sha256:b7b79eb57d88d7e422171a875b39cc96b037cf025b7b2e551d82a41054c98945

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

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

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source=pdf_text observed=2026-08-05T16:02:03.543010Z digest=sha256:b72ecba2f27c972a7763c50e506e53b40fe3713cab3776da06fa5ce0edf937b8

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

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

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source=pdf_text observed=2026-08-03T18:04:30.736714Z digest=sha256:e1d0323f355a905b023ede5038c259fb35106e0ac43098d48f2827cb0e069174

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

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

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source=pdf_text observed=2026-08-03T01:17:11.752127Z digest=sha256:8058b8563fac3c59639aead18bcc7732e969a5d5d3de085476dd947efbde971d

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

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

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source=pdf_text observed=2026-08-02T20:26:40.494982Z digest=sha256:5e4e273c2dab452afff22ce72bad9dcdc56ab987df3fd649b80842e3d1639a1a

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T11:26:13.074820Z digest=sha256:f1042cd46923d419f4664fb3209c97b3f04d293f533f9f61e6a2f25be62e0a6d

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T03:39:30.528601Z digest=sha256:32aee25fc1ac0bd486c6bfb20e054f56cb9182a97334fe2f8d0dd25fdd38ec40

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T07:27:03.060416Z digest=sha256:8f6a646ad981ec0d95c3b4efcfa0f135f030d8154c3a2add6106efd139f8ff4f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T06:41:06.828814Z digest=sha256:dfaaa2b2341ba80f00a24747f19e9dc8e20e0ee68201e9eb2fdc6da08a6e8d4b

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-30T22:11:44.891731Z digest=sha256:15844aaf5875403a198009a6c56c37f3fddba5bf96f18e58d04870fec9a064dc

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T18:03:09.275405Z digest=sha256:1d805f1250438415cbd2af01bbb3f8f6b5fc6c2d7e9f9a743f9a6e84ccc1bbe9