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Paper Citation Record · LEDGER

A Systematic Evaluation of Generative Models on Tabular Transportation Data

As of 8 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2502.08856.

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

pith.paper-citation-record.v1
2502.08856 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:30:45.406903Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

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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

31 of 31 outbound references displayed

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External citation measurements

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Outbound references

Observation a238db61-0ab4-45d5-8e6c-95f7bcb9ea0a · outbound

This paper cites In: International conference on machine learning.

A Systematic Evaluation of Generative Models on Tabular Transportation Data In: International conference on machine learning

Reference 1

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This paper cites https://agkn.wordpress.com/2014/09/15/ riding-with-the-stars-passenger-privacy-in-the-nyc-taxicab-dataset/ (2014), [Online; accessed 2024-11] 2 14 C.

A Systematic Evaluation of Generative Models on Tabular Transportation Data https://agkn.wordpress.com/2014/09/15/ riding-with-the-stars-passenger-privacy-in-the-nyc-taxicab-dataset/ (2014), [Online; accessed 2024-11] 2 14 C

Reference 2

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A Systematic Evaluation of Generative Models on Tabular Transportation Data Unresolved cited work

Reference 3

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This paper cites IEEE transactions on neural networks and learning systems (2022) 2.

A Systematic Evaluation of Generative Models on Tabular Transportation Data IEEE transactions on neural networks and learning systems (2022) 2

Reference 4

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Observation 71706451-da5f-4b5b-83ee-335090ee5a9e · outbound

This paper cites In: NeurIPS 2023 Workshop on Synthetic Data Generation with Generative AI (2023) 7.

A Systematic Evaluation of Generative Models on Tabular Transportation Data In: NeurIPS 2023 Workshop on Synthetic Data Generation with Generative AI (2023) 7

Reference 5

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This paper cites In: 2022 IEEE Symposium on Security and Privacy (SP).

A Systematic Evaluation of Generative Models on Tabular Transportation Data In: 2022 IEEE Symposium on Security and Privacy (SP)

Reference 6

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This paper cites https://en.wikipedia.org/wiki/ Earth_mover%27s_distance (2024), [Online; accessed 2024-11] 5.

A Systematic Evaluation of Generative Models on Tabular Transportation Data https://en.wikipedia.org/wiki/ Earth_mover%27s_distance (2024), [Online; accessed 2024-11] 5

Reference 7

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Observation 230a2323-90ba-4df7-a710-6e596bcc6e3f · outbound

This paper cites Available at SSRN 4229042 (2017) 8.

A Systematic Evaluation of Generative Models on Tabular Transportation Data Available at SSRN 4229042 (2017) 8

Reference 8

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Observation 04ba20bc-7885-460f-bc93-6e0c3661a86b · outbound

This paper cites Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration.

A Systematic Evaluation of Generative Models on Tabular Transportation Data Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration

Reference 9

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This paper cites Advances in neural infor- mation processing systems 27 (2014) 2, 3, 6.

A Systematic Evaluation of Generative Models on Tabular Transportation Data Advances in neural infor- mation processing systems 27 (2014) 2, 3, 6

Reference 10

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Observation 576b9f2a-9ac5-4691-be4c-c3b650e7dc62 · outbound

This paper cites Reconstruction and Membership Inference Attacks against Generative Models.

A Systematic Evaluation of Generative Models on Tabular Transportation Data Reconstruction and Membership Inference Attacks against Generative Models

Reference 11

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Observation 0f422f1f-0096-43ff-b7f0-9480eeec25ac · outbound

This paper cites Advances in neural information processing systems 33, 6840–6851 (2020) 4.

A Systematic Evaluation of Generative Models on Tabular Transportation Data Advances in neural information processing systems 33, 6840–6851 (2020) 4

Reference 12

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Observation 187b2d79-2174-4f88-9f1d-05a88838a36c · outbound

This paper cites Advances in Neural In- formation Processing Systems 34, 12454–12465 (2021) 4.

A Systematic Evaluation of Generative Models on Tabular Transportation Data Advances in Neural In- formation Processing Systems 34, 12454–12465 (2021) 4

Reference 13

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Observation fd9e6552-772e-4a8c-964d-22616349b781 · outbound

This paper cites STaSy: Score-based Tabular data Synthesis.

A Systematic Evaluation of Generative Models on Tabular Transportation Data STaSy: Score-based Tabular data Synthesis

Reference 14

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Observation 26740d68-1523-41c7-9b3e-e61779d2da23 · outbound

This paper cites Auto-Encoding Variational Bayes.

A Systematic Evaluation of Generative Models on Tabular Transportation Data Auto-Encoding Variational Bayes

Reference 15

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Observation c5ee24ef-911e-4fd8-aeae-b39bdbf6a46e · outbound

This paper cites In: International Conference on Machine Learn- ing.

A Systematic Evaluation of Generative Models on Tabular Transportation Data In: International Conference on Machine Learn- ing

Reference 16

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This paper cites Curran Associates Inc., Red Hook, NY, USA (2019) 6.

A Systematic Evaluation of Generative Models on Tabular Transportation Data Curran Associates Inc., Red Hook, NY, USA (2019) 6

Reference 17

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Observation 4871f722-d464-4639-b5d8-3bea280bfbab · outbound

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A Systematic Evaluation of Generative Models on Tabular Transportation Data Unresolved cited work

Reference 18

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Observation a52863f3-fa59-4362-ba8f-78c6af9d23ff · outbound

This paper cites https://scikit-learn.org/stable/ modules/generated/sklearn.ensemble.GradientBoostingRegressor.html (2024), [Online; accessed 2024-11] 6.

A Systematic Evaluation of Generative Models on Tabular Transportation Data https://scikit-learn.org/stable/ modules/generated/sklearn.ensemble.GradientBoostingRegressor.html (2024), [Online; accessed 2024-11] 6

Reference 19

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Observation 8495bc35-536a-4fa8-9e4f-6b9950a69540 · outbound

This paper cites EPJ data science 11(1), 58 (2022) 8 A Systematic Evaluation of Generative Models on Transportation Data 15.

A Systematic Evaluation of Generative Models on Tabular Transportation Data EPJ data science 11(1), 58 (2022) 8 A Systematic Evaluation of Generative Models on Transportation Data 15

Reference 20

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This paper cites In: International Conference on Machine Learning.

A Systematic Evaluation of Generative Models on Tabular Transportation Data In: International Conference on Machine Learning

Reference 21

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Observation abccfccb-0650-4c9e-a1c5-04362437062d · outbound

This paper cites In: 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

A Systematic Evaluation of Generative Models on Tabular Transportation Data In: 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA)

Reference 22

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Observation a9b5ea2f-786d-4a94-862d-abd4b87358b2 · outbound

This paper cites Frontiers in big Data 4, 679939 (2021) 8.

A Systematic Evaluation of Generative Models on Tabular Transportation Data Frontiers in big Data 4, 679939 (2021) 8

Reference 23

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This paper cites In: 2017 IEEE Symposium on Security and Pri- vacy (SP).

A Systematic Evaluation of Generative Models on Tabular Transportation Data In: 2017 IEEE Symposium on Security and Pri- vacy (SP)

Reference 24

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Observation 7d86794e-ee31-4449-9abd-b2571cec0055 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

A Systematic Evaluation of Generative Models on Tabular Transportation Data Score-Based Generative Modeling through Stochastic Differential Equations

Reference 25

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Observation d86ea93f-0ef8-42d4-87fd-7687c8ee4ea2 · outbound

This paper cites In: 31st USENIX Security Symposium (USENIX Security 22).

A Systematic Evaluation of Generative Models on Tabular Transportation Data In: 31st USENIX Security Symposium (USENIX Security 22)

Reference 26

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This paper cites https://www.nyc.gov/site/tlc/ about/tlc-trip-record-data.page (2023), [Online; accessed 2024-11] 8.

A Systematic Evaluation of Generative Models on Tabular Transportation Data https://www.nyc.gov/site/tlc/ about/tlc-trip-record-data.page (2023), [Online; accessed 2024-11] 8

Reference 27

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This paper cites https://data.cityofnewyork.

A Systematic Evaluation of Generative Models on Tabular Transportation Data https://data.cityofnewyork

Reference 28

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Observation 0fe1385a-d183-4afc-adac-8d57dd91f233 · outbound

This paper cites On Evaluation Metrics for Graph Generative Models.

A Systematic Evaluation of Generative Models on Tabular Transportation Data On Evaluation Metrics for Graph Generative Models

Reference 29

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Observation 7d389328-c967-4847-ae91-738493510a35 · outbound

This paper cites Advances in neural information processing systems 32 (2019) 2, 3, 4, 9.

A Systematic Evaluation of Generative Models on Tabular Transportation Data Advances in neural information processing systems 32 (2019) 2, 3, 4, 9

Reference 30

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This paper cites In: Asian Conference on Machine Learning.

A Systematic Evaluation of Generative Models on Tabular Transportation Data In: Asian Conference on Machine Learning

Reference 31

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Pith citing papers

No inbound Pith citation observations are available.