Struct-Bench: A Benchmark for Differentially Private Structured Text Generation | Paper Citation Record

Observation 3f37b900-f042-4cc5-8b50-d0c915d918eb · outbound

This paper cites Hugging Face Datasets https:// huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered/tree/ bcd32a724d8460ebe14e1d05b0195e30e9a46cb1, apr 2023.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Hugging Face Datasets https:// huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered/tree/ bcd32a724d8460ebe14e1d05b0195e30e9a46cb1, apr 2023

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Observation 7b234df2-d262-4fc9-94df-5b10cb7a23dd · outbound

This paper cites OpenReview.net, 2024.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation OpenReview.net, 2024

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Observation c94c235b-8698-4a23-b079-7323ed277e61 · outbound

This paper cites Abadi, A.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Abadi, A

Reference 3

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Observation fe56f477-5770-4eb4-b5cb-196d40d0f0c8 · outbound

This paper cites DP-2Stage: Adapting Language Models as Differentially Private Tabular Data Generators.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation DP-2Stage: Adapting Language Models as Differentially Private Tabular Data Generators

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Observation 292a2135-72f0-49df-b72b-0d99bd9a36f7 · outbound

This paper cites Really Useful Synthetic Data -- A Framework to Evaluate the Quality of Differentially Private Synthetic Data.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Really Useful Synthetic Data -- A Framework to Evaluate the Quality of Differentially Private Synthetic Data

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Observation 71e781ed-3784-456a-8ac8-869e3e8e9f6f · outbound

This paper cites Adulthttps://doi.org/10.24432/C5XW20.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Adulthttps://doi.org/10.24432/C5XW20

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Observation d86d5a48-1102-432d-9642-a2f77dc3bb53 · outbound

This paper cites Longformer: The Long-Document Transformer.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Longformer: The Long-Document Transformer

Reference 7

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Observation 196e972c-bfb4-4779-972d-c09a9fc95635 · outbound

This paper cites A universal metric for robust evaluation of synthetic tabular data.IEEE Transactions on Artificial Intelligence, 5(1):300–309, 2022.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation A universal metric for robust evaluation of synthetic tabular data.IEEE Transactions on Artificial Intelligence, 5(1):300–309, 2022

Reference 8

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Observation db086f03-0612-4b21-9707-cbc47dda0b29 · outbound

This paper cites Conditional synthetic data generation for robust machine learning applications with limited pandemic data.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Conditional synthetic data generation for robust machine learning applications with limited pandemic data

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Observation 317e025a-5d6e-4a81-9131-8db49052a5bc · outbound

This paper cites Effective data generation for imbalanced learning using conditional generative adversarial networks.Expert Systems with applications, 91:464–471, 2018.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Effective data generation for imbalanced learning using conditional generative adversarial networks.Expert Systems with applications, 91:464–471, 2018

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Observation fd35df45-5458-49b7-8b88-25780fa85f25 · outbound

This paper cites Conditional Wasserstein GAN-based Oversampling of Tabular Data for Imbalanced Learning.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Conditional Wasserstein GAN-based Oversampling of Tabular Data for Imbalanced Learning

Reference 11

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Observation fcd5c6a0-9da5-4cdc-8338-3d32dfc3b39c · outbound

This paper cites The GEM benchmark: Natural language generation, its evaluation and metrics.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation The GEM benchmark: Natural language generation, its evaluation and metrics

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Observation b57cb7d3-6b45-43d0-8c3d-6cc73875085e · outbound

This paper cites Differentially Private Diffusion Models Generate Useful Synthetic Images.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Differentially Private Diffusion Models Generate Useful Synthetic Images

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Observation eb0d4c5b-4acc-408f-ad49-e45458e92420 · outbound

This paper cites A Unified Framework for Quantifying Privacy Risk in Synthetic Data.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation A Unified Framework for Quantifying Privacy Risk in Synthetic Data

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Observation 1e1792c3-7a4c-47b8-8dfe-e1a4bac8a030 · outbound

This paper cites Benchmarking fraud detectors on private graph data.KDD, 2025.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Benchmarking fraud detectors on private graph data.KDD, 2025

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Observation 73213db6-87f6-4053-a35b-98a7610dc660 · outbound

This paper cites DPImageBench: A Unified Benchmark for Differentially Private Image Synthesis.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation DPImageBench: A Unified Benchmark for Differentially Private Image Synthesis

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Observation a63b4b01-db0b-487b-b8f2-755209056d4e · outbound

This paper cites An llm-based framework for synthetic data generation.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation An llm-based framework for synthetic data generation

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Observation 2fbcd180-a5fa-4750-8b7b-e0b67c80b784 · outbound

This paper cites Synthfair: Ensuring subgroup fairness in classification via synthetic data generation.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Synthfair: Ensuring subgroup fairness in classification via synthetic data generation

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Observation e9fed851-8506-4d8b-a44a-94de8f43c04b · outbound

This paper cites Synthetic tabular data evaluation in the health domain covering resemblance, utility, and privacy dimensions.Methods of information in medicine, 62(S 01):e19–e38, 2023.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Synthetic tabular data evaluation in the health domain covering resemblance, utility, and privacy dimensions.Methods of information in medicine, 62(S 01):e19–e38, 2023

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Observation 5d180b12-45b9-469f-bdd4-f9a89029c19f · outbound

This paper cites Heusel, H.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Heusel, H

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Observation 0955f193-75ae-4afc-bab6-1dfa3e9983be · outbound

This paper cites Introduction to automata theory, languages, and computation.Acm Sigact News, 32(1):60–65, 2001.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Introduction to automata theory, languages, and computation.Acm Sigact News, 32(1):60–65, 2001

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Observation e3af8b33-f2fc-4ccb-98d1-1dc095aeb00a · outbound

This paper cites Pre-text: training language models on private federated data in the age of llms.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Pre-text: training language models on private federated data in the age of llms

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Observation a911f33c-41a6-4f27-a5e9-a4c56fbc6c8c · outbound

This paper cites POPri: Private Federated Learning using Preference-Optimized Synthetic Data.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation POPri: Private Federated Learning using Preference-Optimized Synthetic Data

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Observation 56a07bec-fac9-4593-9ddb-384a3140a098 · outbound

This paper cites Sok: Privacy-preserving data synthesis.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Sok: Privacy-preserving data synthesis

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Observation ab24d3a5-7379-4fd0-9670-a6c369029b3a · outbound

This paper cites Kynkäänniemi, T.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Kynkäänniemi, T

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:57:48.493686Z

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Observation 6a897724-d774-4474-bec2-401b8358d58b · outbound

This paper cites Tregex and tsurgeon: Tools for querying and manipulating tree data structures.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Tregex and tsurgeon: Tools for querying and manipulating tree data structures

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Observation f6482bae-3ae2-4042-b986-fc75a6b836e9 · outbound

This paper cites an unresolved cited work.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Unresolved cited work

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Observation eb5eb492-4961-46e0-98cf-38b4d7c863cb · outbound

This paper cites Differentially Private Synthetic Data via APIs 3: Using Simulators Instead of Foundation Model.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Differentially Private Synthetic Data via APIs 3: Using Simulators Instead of Foundation Model

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Observation 8acc2e5f-08f5-494b-b7d3-e5184435bd7a · outbound

This paper cites Differentially private synthetic data via foundation model apis 1: Images.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Differentially private synthetic data via foundation model apis 1: Images

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Observation 72dd6eff-b6cb-4319-bf6f-c831b14a879e · outbound

This paper cites Using gans for sharing networked time series data: Challenges, initial promise, and open questions.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Using gans for sharing networked time series data: Challenges, initial promise, and open questions

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Observation b7a2eb48-bc2f-441a-9539-da23f814b3a6 · outbound

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Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Summary statistic privacy in data sharing

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Observation 7f257d3f-2d15-4e9a-9167-9f8d376546f5 · outbound

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Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Preserving privacy in healthcare: A systematic review of deep learning approaches for synthetic data generation.Computer Methods and Programs in Biomedicine, page 108571, 2024

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Observation 88dd5cb1-85b9-4ccc-81ee-acd84db5183a · outbound

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Struct-Bench: A Benchmark for Differentially Private Structured Text Generation An evaluation framework for synthetic data generation models

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Observation d4889845-d067-4693-93d5-bbb08c6cb124 · outbound

This paper cites Evaluating Inter-Column Logical Relationships in Synthetic Tabular Data Generation.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Evaluating Inter-Column Logical Relationships in Synthetic Tabular Data Generation

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Observation 15543bbb-ce6d-4aba-9a33-94f3a6ecc722 · outbound

This paper cites PhD thesis, Politecnico di Torino, 2025.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation PhD thesis, Politecnico di Torino, 2025

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Observation 877017a2-b475-4338-b339-4b0c645303c0 · outbound

This paper cites AIM: An Adaptive and Iterative Mechanism for Differentially Private Synthetic Data.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation AIM: An Adaptive and Iterative Mechanism for Differentially Private Synthetic Data

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Observation 680f330e-29b1-40ec-be66-d8db3f5bd617 · outbound

This paper cites Benchmarking evaluation protocols for classifiers trained on differentially private synthetic data.IEEE Access, 2024.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Benchmarking evaluation protocols for classifiers trained on differentially private synthetic data.IEEE Access, 2024

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Observation e29af933-3f90-4b2f-a8d2-fa3399d19c5a · outbound

This paper cites SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy

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Observation ca4c9ae9-ea26-482e-bf03-023cae46d8db · outbound

This paper cites Synthetic data for privacy-preserving clinical risk prediction.Scientific Reports, 14(1):25676, 2024.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Synthetic data for privacy-preserving clinical risk prediction.Scientific Reports, 14(1):25676, 2024

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Observation 32556448-08e3-4f59-9fe1-6c97391d3a28 · outbound

This paper cites Evaluating Differentially Private Synthetic Data Generation in High-Stakes Domains.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Evaluating Differentially Private Synthetic Data Generation in High-Stakes Domains

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Observation 9b15b060-900d-496e-9d52-fb360c9cd290 · outbound

This paper cites Type/token ratios: What do they really tell us?Journal of child language, 14(2):201–209, 1987.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Type/token ratios: What do they really tell us?Journal of child language, 14(2):201–209, 1987

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Observation 8445ec72-013f-486a-944b-a0c652f8d38c · outbound

This paper cites Differentially Private Synthetic Data: Applied Evaluations and Enhancements.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Differentially Private Synthetic Data: Applied Evaluations and Enhancements

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Observation 15340ec7-1122-4fa7-a74b-d9c88c2fd451 · outbound

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Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Assessing generative models via precision and recall.Advances in neural information processing systems, 31, 2018

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Observation 5a9a5445-40e9-44e4-a91a-219293413ef2 · outbound

This paper cites Generating Synthetic Data with Formal Privacy Guarantees: State of the Art and the Road Ahead.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Generating Synthetic Data with Formal Privacy Guarantees: State of the Art and the Road Ahead

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Observation a8eb216d-0fbe-4413-b820-dffd2deaf3f4 · outbound

This paper cites Ai for data science: A benchmark for differentially private text dataset generators.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Ai for data science: A benchmark for differentially private text dataset generators

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Observation e295ad51-f7f6-4f07-a057-385685658c94 · outbound

This paper cites On the foundations of quantitative information flow.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation On the foundations of quantitative information flow

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Observation 046499cf-7cc1-4dac-acd5-8b2a5853d07d · outbound

This paper cites Evaluation is key: a survey on evaluation measures for synthetic time series.Journal of Big Data, 11(1):66, 2024.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Evaluation is key: a survey on evaluation measures for synthetic time series.Journal of Big Data, 11(1):66, 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:57:48.378288Z

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Observation 5a2228e5-a22c-4234-8d11-810158442188 · outbound

This paper cites Formalizing and Estimating Distribution Inference Risks.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Formalizing and Estimating Distribution Inference Risks

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Observation f7856163-c7f9-4d06-b42f-d22a390a6433 · outbound

This paper cites Synthesizing Privacy-Preserving Text Data via Finetuning without Finetuning Billion-Scale LLMs.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Synthesizing Privacy-Preserving Text Data via Finetuning without Finetuning Billion-Scale LLMs

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Resolution: unresolved; no resolver link, observed 2026-08-15T15:57:47.675513Z

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Observation 3bf7f063-0201-4f5c-9875-b234922f904b · outbound

This paper cites Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation

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Observation dbcd063c-2cdc-404f-af01-557c6fcdc692 · outbound

This paper cites Benchmarking Differentially Private Synthetic Data Generation Algorithms.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Benchmarking Differentially Private Synthetic Data Generation Algorithms

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Observation 116dbc7d-f6e0-4c3d-b878-b90baab7b615 · outbound

This paper cites Water Bottle Dataset - Flipkart https://www.kaggle.com/datasets/tharunmss/ water-bottle-dataset-flipkart.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Water Bottle Dataset - Flipkart https://www.kaggle.com/datasets/tharunmss/ water-bottle-dataset-flipkart

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:57:48.368613Z

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Observation aa418dd2-a89b-4f07-b9f6-20296a2a422c · outbound

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Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Kajal: Extracting Grammar of a Source Code Using Large Language Models

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Observation d8d75af5-bf16-4871-9113-a93cfc7e0b05 · outbound

This paper cites Dp-cgan: Differentially private synthetic data and label generation.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Dp-cgan: Differentially private synthetic data and label generation

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:57:48.359416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3574664b-25d0-44d8-8c04-fd79db908ef1 · outbound

This paper cites Differentially Private Tabular Data Synthesis using Large Language Models.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Differentially Private Tabular Data Synthesis using Large Language Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-15T15:57:47.696435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95318f4d-4f0d-4b35-9c01-ad78c289678a · outbound

This paper cites Synthetic data, real errors: how (not) to publish and use synthetic data.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Synthetic data, real errors: how (not) to publish and use synthetic data

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:57:48.348921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c3b6cfe5-01b0-45ac-89c2-c94f913c9b41 · outbound

This paper cites Synthesize privacy-preserving high-resolution images via private textual intermediaries.arXiv preprint arXiv:2506.07555, 2025.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Synthesize privacy-preserving high-resolution images via private textual intermediaries.arXiv preprint arXiv:2506.07555, 2025

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-15T15:57:47.704364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 377d26e7-399d-45b4-a44e-e233f4ac00e9 · outbound

This paper cites Statistic maximal leakage.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Statistic maximal leakage

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:57:48.338996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4309af01-fa86-4c49-80f6-81e2f7e47c2e · outbound

This paper cites dp-transformers: Training transformer models with differential privacy, 2022.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation dp-transformers: Training transformer models with differential privacy, 2022

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:57:48.328895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 908f8be3-d37d-4a8f-aa21-b69591619ad7 · outbound

This paper cites Differentially private synthetic data via foundation model apis 2: Text.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Differentially private synthetic data via foundation model apis 2: Text

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-15T15:57:47.713435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba027625-994f-4e20-a782-d1e5200329b8 · outbound

This paper cites Generation and evaluation of privacy preserving synthetic health data.Neurocomputing, 416:244–255, 2020.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Generation and evaluation of privacy preserving synthetic health data.Neurocomputing, 416:244–255, 2020

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:57:48.315480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7909e35e-30cd-4db7-bb8d-8d425b2e4f86 · outbound

This paper cites Structured Evaluation of Synthetic Tabular Data.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Structured Evaluation of Synthetic Tabular Data

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-08-15T15:57:47.876735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2b6312ba-21e9-4301-9889-70bf219e4091 · outbound

This paper cites Differentially Private Fine-tuning of Language Models.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Differentially Private Fine-tuning of Language Models

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-15T15:57:47.723444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ed7a9bf-20f5-4170-9978-31488525a921 · outbound

This paper cites A Multi-Faceted Evaluation Framework for Assessing Synthetic Data Generated by Large Language Models.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation A Multi-Faceted Evaluation Framework for Assessing Synthetic Data Generated by Large Language Models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-15T15:57:47.726247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b165bfc2-d0ea-4575-86e4-bfae3831fbb8 · outbound

This paper cites an unresolved cited work.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:57:48.307749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e1c3b815-bc05-4f55-b016-2b659971f45e · outbound

This paper cites In30th USENIX Security Symposium (USENIX Security 21), pages 929–946, 2021.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation In30th USENIX Security Symposium (USENIX Security 21), pages 929–946, 2021

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:57:48.298992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 85171f00-ba42-413f-9e5b-7c8791b00db0 · outbound

This paper cites Zheng, W.-L.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Zheng, W.-L

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:57:48.291514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 56e2f21e-1c0b-49e3-857b-f85af9d66c89 · outbound

This paper cites Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-15T15:57:47.737864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6be85f33-6861-4c84-bb97-c22c82994c73 · outbound

This paper cites an unresolved cited work.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Unresolved cited work

Reference 70

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:57:48.275498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8e519fc3-9b73-4c62-89ef-1b4554b9131c · outbound

This paper cites an unresolved cited work.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Unresolved cited work

Reference 71

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:57:48.268173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f4bb765b-9c8b-46b6-969d-623221b9b17f · outbound

This paper cites an unresolved cited work.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Unresolved cited work

Reference 72

Resolution: parse uncertain; raw_fallback, observed 2026-08-15T15:57:48.260711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 926988ca-aa51-42e5-9775-3248dddbbe77 · outbound

This paper cites an unresolved cited work.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:57:48.253872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9244cf59-e876-4866-9462-4d177c7a1983 · outbound

This paper cites an unresolved cited work.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Unresolved cited work

Reference 74

Resolution: parse uncertain; raw_fallback, observed 2026-08-15T15:57:48.246308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5c1cecdf-138e-42bf-831a-17b475133071 · outbound

This paper cites an unresolved cited work.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Unresolved cited work

Reference 75

Resolution: parse uncertain; raw_fallback, observed 2026-08-15T15:57:48.238117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 913ca51e-1832-43a0-bb66-dec6e78c61f9 · outbound

This paper cites an unresolved cited work.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Unresolved cited work

Reference 76

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:57:48.229704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 487ef7c1-f9df-4b91-8fb2-d29c99e90aae · outbound

This paper cites an unresolved cited work.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Unresolved cited work

Reference 77

Resolution: parse uncertain; raw_fallback, observed 2026-08-15T15:57:48.221104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 65e3e7ad-15f5-4004-a025-7c7020f738a3 · outbound

This paper cites an unresolved cited work.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Unresolved cited work

Reference 78

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:57:48.213739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9d7efc23-c718-4e94-966b-e9671e8425ef · outbound

This paper cites an unresolved cited work.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Unresolved cited work

Reference 79

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:57:48.205142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f9f6a5e1-bec5-4735-92e0-8046dde71cb8 · outbound

This paper cites an unresolved cited work.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Unresolved cited work

Reference 80

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:57:48.198000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cae6c28d-1c26-4f6d-a022-00fb241928ff · outbound

This paper cites an unresolved cited work.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Unresolved cited work

Reference 81

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:57:48.191512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b2554376-dc53-4913-ac29-4d0442c66cac · outbound

This paper cites an unresolved cited work.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Unresolved cited work

Reference 82

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:57:48.184235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5ae18b85-8303-4afb-9dae-e447fdbeee37 · outbound

This paper cites an unresolved cited work.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Unresolved cited work

Reference 83

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:57:48.176879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 82812627-f5ad-4701-bb31-191da298baf7 · outbound

This paper cites an unresolved cited work.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Unresolved cited work

Reference 84

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:57:48.165910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 48a7e866-e7e6-4553-9f09-b51f5ddfa71a · outbound

This paper cites an unresolved cited work.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Unresolved cited work

Reference 85

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:57:48.155748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 13c1bc06-fbe1-4cd2-b532-486c31173cff · outbound

This paper cites an unresolved cited work.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Unresolved cited work

Reference 86

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:57:48.146542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7581e696-23b3-48c3-b190-133a2595f76f · outbound

This paper cites an unresolved cited work.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Unresolved cited work

Reference 87

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:57:48.137271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c1d358a6-1d67-4804-b7b7-a491815d910f · outbound

This paper cites We prepend the instructions to each training sample and fine-tune the foundation model for 20 epochs with batch size 32, weight decay 0.01, and learning rate10−4.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation We prepend the instructions to each training sample and fine-tune the foundation model for 20 epochs with batch size 32, weight decay 0.01, and learning rate10−4

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:57:48.129950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8c902962-4277-494f-a1a1-bc70306eee89 · outbound

This paper cites an unresolved cited work.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Unresolved cited work

Reference 89

Resolution: parse uncertain; raw_fallback, observed 2026-08-15T15:57:48.121091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f091d6ba-2236-4419-b03d-38f1d6beda3b · outbound

This paper cites an unresolved cited work.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Unresolved cited work

Reference 90

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:57:48.112890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dee26106-9ec9-4124-a598-50ebc4fc2e14 · outbound

This paper cites an unresolved cited work.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Unresolved cited work

Reference 91

Resolution: parse uncertain; raw_fallback, observed 2026-08-15T15:57:48.284610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 983cd72b-9aa0-4872-b136-b352e8d8e454 · outbound

This paper cites an unresolved cited work.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Unresolved cited work

Reference 92

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:57:48.103502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2d0c25f6-194d-476a-836e-c7dfa894d9ed · outbound

This paper cites KNN-Precision.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation KNN-Precision

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:57:48.095654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 91de19a3-5f2b-4311-8ee3-397f1f65061e · outbound

This paper cites topic prediction.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation topic prediction

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:57:48.085415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ef23eeeb-9505-4ee9-8383-53d824118844 · outbound

This paper cites HUMAN:␣", and ChatGPT response must start with.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation HUMAN:␣", and ChatGPT response must start with

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:57:48.076942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers