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Paper Citation Record · LEDGER

Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation

As of 17 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2504.17058.

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

pith.paper-citation-record.v1
2504.17058 v3

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:54:43.033772Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

28 of 28 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 624f9440-49c5-4812-83a4-8d4c78281d78 · outbound

This paper cites Generative adversarial nets,.

Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation Generative adversarial nets,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 0b66db84-ebf0-4ecd-ad05-6a4509b71a05 · outbound

This paper cites Auto-encoding variational Bayes,.

Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation Auto-encoding variational Bayes,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 63f6480d-4305-429f-ad14-bcbc8ad88ed6 · outbound

This paper cites Denoising diffusion probabilistic models,.

Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation Denoising diffusion probabilistic models,

Reference 3

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation caa5bbd8-a3b0-4740-8314-4daae0df5ac7 · outbound

This paper cites Variational inference with normalizing flows,.

Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation Variational inference with normalizing flows,

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ecfe30ba-f3e9-4352-8c81-3491fb667d1a · outbound

This paper cites Wasserstein GAN,.

Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation Wasserstein GAN,

Reference 5

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ab77dfa7-6fd8-416d-8712-e57dc7b43262 · outbound

This paper cites The VQV AE: Vector quantized variational autoencoder,.

Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation The VQV AE: Vector quantized variational autoencoder,

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c0f77c31-1240-4663-8b56-369fbdab4a06 · outbound

This paper cites High- resolution image synthesis with latent diffusion models,.

Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation High- resolution image synthesis with latent diffusion models,

Reference 7

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verified fuzzy
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Source-reported events for the cited work

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Observation ff012238-ffe3-432f-9217-75cade1326e6 · outbound

This paper cites Tackling the generative learning trilemma with denoising diffusion GANs,.

Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation Tackling the generative learning trilemma with denoising diffusion GANs,

Reference 8

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7f9c8f8e-d591-4bf6-98e5-6579e8221211 · outbound

This paper cites GANITE: Estimation of individualized treatment effects using generative adversarial nets,.

Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation GANITE: Estimation of individualized treatment effects using generative adversarial nets,

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7f4eee6b-a7ae-4a50-b03c-c7b2999e37fb · outbound

This paper cites GANs for financial time series generation,.

Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation GANs for financial time series generation,

Reference 10

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Source-reported events for the cited work

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Observation b1619325-bdb3-474f-8afb-c444b00248bb · outbound

This paper cites Generating diverse and natural 3D human motions from text,.

Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation Generating diverse and natural 3D human motions from text,

Reference 11

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Source-reported events for the cited work

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Observation 0c6b8c77-6271-451b-af32-d1cca9c0b5c7 · outbound

This paper cites Classification with valid and adaptive coverage,.

Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation Classification with valid and adaptive coverage,

Reference 12

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d2453684-e33e-446d-818a-5cb04bdee163 · outbound

This paper cites Risk-aware and explainable framework for ensuring guaranteed coverage in evolving hardware trojan detection,.

Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation Risk-aware and explainable framework for ensuring guaranteed coverage in evolving hardware trojan detection,

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation df4c35f1-0c57-4e56-9cf5-f331e9b66aa0 · outbound

This paper cites Conformal risk con- trol,.

Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation Conformal risk con- trol,

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 2a7b1171-0631-4f72-901c-7a02469f1f65 · outbound

This paper cites Uncertainty-aware unimodal and multimodal learning for evolving hardware trojan detection,.

Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation Uncertainty-aware unimodal and multimodal learning for evolving hardware trojan detection,

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 523b2952-c491-4270-b303-d3fb219075c1 · outbound

This paper cites Synthetic data in machine learning for medicine and healthcare,.

Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation Synthetic data in machine learning for medicine and healthcare,

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 9c8ce11b-e794-4a3d-b2e4-0942ce233418 · outbound

This paper cites Tunable sparing of disks in a cloud data center,.

Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation Tunable sparing of disks in a cloud data center,

Reference 17

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 46eeeedc-362d-42ce-95d4-b610b0f75022 · outbound

This paper cites Synthetic datasets for neural network validation,.

Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation Synthetic datasets for neural network validation,

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 73de1b7c-c08c-4c9b-a78d-d7ac10e41c93 · outbound

This paper cites GANs trained by a two time-scale update rule converge to a local nash equilibrium,.

Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation GANs trained by a two time-scale update rule converge to a local nash equilibrium,

Reference 19

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Source-reported events for the cited work

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Observation 1ed4d82b-f89c-4576-bccf-3ed6c66119ba · outbound

This paper cites Distribution- preserving data augmentation,.

Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation Distribution- preserving data augmentation,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation bdd1144a-6ff3-4691-9e59-dc5486901d43 · outbound

This paper cites Metrics of calibration for probabilistic predictions.

Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation Metrics of calibration for probabilistic predictions

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 969283ce-66c4-4485-8bd5-02f20a3fef77 · outbound

This paper cites On calibration of modern neural networks,.

Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation On calibration of modern neural networks,

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 43a5b28b-f161-497b-acba-cf8e8f37a1f9 · outbound

This paper cites Conformal prediction beyond exchangeability,.

Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation Conformal prediction beyond exchangeability,

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c6d490c1-e1f0-4282-8894-fc64a01b9ae6 · outbound

This paper cites Scalable conformal prediction,.

Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation Scalable conformal prediction,

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 6c807e57-47f2-4ae3-8ae2-215ccff698f9 · outbound

This paper cites Conformal prediction with temporal quantile ad- justments,.

Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation Conformal prediction with temporal quantile ad- justments,

Reference 25

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 85a73f40-2c32-481c-b292-80f7e09337b7 · outbound

This paper cites PATE-GAN: Generating synthetic data with differential privacy guarantees,.

Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation PATE-GAN: Generating synthetic data with differential privacy guarantees,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:54:43.103304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 9bdbfc4b-07d3-4418-8c28-1a07c8ef28a9 · outbound

This paper cites Chatting with Logs: An exploratory study on Finetuning LLMs for LogQL.

Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation Chatting with Logs: An exploratory study on Finetuning LLMs for LogQL

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 898f4971-62a9-4e90-bdf3-19032b10ee0d · outbound

This paper cites Confidence-calibrated adversarial training: Generalizing to unseen attacks,.

Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation Confidence-calibrated adversarial training: Generalizing to unseen attacks,

Reference 28

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Pith citing papers

No inbound Pith citation observations are available.