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Paper Citation Record · LEDGER

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation?

As of 9 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2506.09312.

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

pith.paper-citation-record.v1
2506.09312 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:03:52.064525Z

measured 57 of 57 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

57 of 57 outbound references displayed

  • verified exact14
  • verified fuzzy4
  • unresolved31
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch6

External citation measurements

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Outbound references

Observation 01449a29-e8f8-4a4a-959f-0e5159cc73ba · outbound

This paper cites The Long Road to Computational Location Privacy: A Survey,.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? The Long Road to Computational Location Privacy: A Survey,

Reference 1

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Observation a20a6956-686a-44a7-a14c-c4bd6148ac4f · outbound

This paper cites Unique in the Crowd: The Privacy Bounds of Human Mobility,.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? Unique in the Crowd: The Privacy Bounds of Human Mobility,

Reference 2

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Observation 03734d97-d3e0-4f8a-a476-2929f0c3ae52 · outbound

This paper cites Redditor Cracks Anonymous Data Trove to Pinpoint Muslim Cab Drivers,.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? Redditor Cracks Anonymous Data Trove to Pinpoint Muslim Cab Drivers,

Reference 3

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Observation 48098c79-13c5-44e1-8056-80303990ac9a · outbound

This paper cites Location Privacy-Preserving Mechanisms in Location- Based Services: A Comprehensive Survey,.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? Location Privacy-Preserving Mechanisms in Location- Based Services: A Comprehensive Survey,

Reference 4

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doi, observed 2026-08-07T05:03:54.235212Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation c5a6ddc0-120b-4106-9579-cc166830d761 · outbound

This paper cites An Overview of Proposals towards the Privacy-Preserving Publication of Trajec- tory Data,.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? An Overview of Proposals towards the Privacy-Preserving Publication of Trajec- tory Data,

Reference 5

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source=pdf_text observed=2026-08-07T05:03:48.975108Z digest=sha256:d255f10c1455c8af7cf8172e0844d492cbb3465eab64ad6c3a3fe981469d3d44

Observation 9ffea4c6-4895-4669-83a9-6881b9d637ee · outbound

This paper cites SoK: Can Trajectory Generation Combine Privacy and Utility?.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? SoK: Can Trajectory Generation Combine Privacy and Utility?

Reference 6

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source=pdf_text observed=2026-08-07T05:03:49.036112Z digest=sha256:8108fa7b896bbac7171e3d650b106aeb274e692f7d2c7a4573531312db47cf68

Observation 26074d5f-2618-4a0a-a31f-3f3f406b65c1 · outbound

This paper cites SoK: Differentially Private Publication of Trajectory Data,.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? SoK: Differentially Private Publication of Trajectory Data,

Reference 7

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source=pdf_text observed=2026-08-07T05:03:49.106829Z digest=sha256:eeb7c366840f23e836276ba424cf39fbfa2fe831630ffb104ebbfa4e0f248c36

Observation 93cf7933-c438-45e2-80c0-201579373877 · outbound

This paper cites Reconstruction Attack on Differen- tial Private Trajectory Protection Mechanisms,.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? Reconstruction Attack on Differen- tial Private Trajectory Protection Mechanisms,

Reference 8

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Observation 2b8f9adf-1b56-4cc2-8b7c-d42a33ca358a · outbound

This paper cites Structured Sparsity Model Based Trajectory Tracking Using Private Location Data Release,.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? Structured Sparsity Model Based Trajectory Tracking Using Private Location Data Release,

Reference 9

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Observation 1f5c1af5-ad30-45ac-ab75-f13342bf98a2 · outbound

This paper cites Trajgans: Using Generative Adversarial Networks for Geo-Privacy Protection of Trajectory Data (Vision Paper),.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? Trajgans: Using Generative Adversarial Networks for Geo-Privacy Protection of Trajectory Data (Vision Paper),

Reference 10

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Observation 77cafd67-3631-44ae-b7cd-e1d4c89ffd0f · outbound

This paper cites DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model,.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model,

Reference 11

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Observation 275cc051-5ee3-430e-bf11-c3c461c26be8 · outbound

This paper cites LSTM- TrajGAN: A Deep Learning Approach to Trajec- tory Privacy Protection,.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? LSTM- TrajGAN: A Deep Learning Approach to Trajec- tory Privacy Protection,

Reference 12

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Observation e564725e-8641-4008-8242-a7528b5888ff · outbound

This paper cites Generative Models for Synthetic Urban Mobility Data: A System- atic Literature Review,.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? Generative Models for Synthetic Urban Mobility Data: A System- atic Literature Review,

Reference 13

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Observation 0071fc1f-00ca-401d-9231-5b6c8013a483 · outbound

This paper cites A Survey and Experimental Study on Privacy-Preserving Trajectory Data Publishing,.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? A Survey and Experimental Study on Privacy-Preserving Trajectory Data Publishing,

Reference 14

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Observation c6b7b8e1-80af-4547-8df8-7d30b92f5214 · outbound

This paper cites How to DP-fy ML: A Prac- tical Guide to Machine Learning with Differential Pri- vacy,.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? How to DP-fy ML: A Prac- tical Guide to Machine Learning with Differential Pri- vacy,

Reference 15

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Observation 58cf0d42-f129-422a-89fb-192134f3b36f · outbound

This paper cites PrivTrace: Differentially Private Trajectory Synthesis by Adaptive Markov Model.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? PrivTrace: Differentially Private Trajectory Synthesis by Adaptive Markov Model

Reference 16

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Observation 878c303f-5d7e-4e60-b445-6609b56f4b94 · outbound

This paper cites Diff-RNTraj: A Structure-Aware Diffusion Model for Road Network- Constrained Trajectory Generation,.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? Diff-RNTraj: A Structure-Aware Diffusion Model for Road Network- Constrained Trajectory Generation,

Reference 17

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Observation a73f29fa-7bda-44e7-b88e-3a2e26d78549 · outbound

This paper cites Map2Traj: Street Map Piloted Zero-shot Trajectory Generation with Diffusion Model.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? Map2Traj: Street Map Piloted Zero-shot Trajectory Generation with Diffusion Model

Reference 18

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Observation 01e4916a-bad9-42b7-8c8f-123a61c6886b · outbound

This paper cites Porto Taxi - Taxi Service Trajectory - Prediction Challenge, ECML PKDD 2015,.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? Porto Taxi - Taxi Service Trajectory - Prediction Challenge, ECML PKDD 2015,

Reference 19

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Observation cb1842a9-5bf6-4bbe-bd71-208bfcad32ac · outbound

This paper cites Mining Interesting Locations and Travel Sequences from GPS Trajectories,.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? Mining Interesting Locations and Travel Sequences from GPS Trajectories,

Reference 20

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Observation 509b7df0-0149-49b4-985b-5db6b1b5a427 · outbound

This paper cites Protecting Trajectory from Semantic Attack Con- sidering K-Anonymity, l-Diversity, and t-Closeness,.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? Protecting Trajectory from Semantic Attack Con- sidering K-Anonymity, l-Diversity, and t-Closeness,

Reference 21

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Observation c8a6b405-841f-4aad-a76b-0bd625747070 · outbound

This paper cites Rectification of Syn- tactic and Semantic Privacy Mechanisms,.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? Rectification of Syn- tactic and Semantic Privacy Mechanisms,

Reference 22

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Observation 1374bfe5-a53e-45c6-bbe2-b0da10ccbb1c · outbound

This paper cites The Algorithmic Founda- tions of Differential Privacy,.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? The Algorithmic Founda- tions of Differential Privacy,

Reference 23

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source=pdf_text observed=2026-08-07T05:03:50.116351Z digest=sha256:88bc32430b0cb2f7645f725c05467f993692ab96803ba271ee43707b84a0a93f

Observation d47d2cb5-d014-45c8-a83e-b2288b2877d0 · outbound

This paper cites Anonymizing Trajectory Data: Limitations and Opportunities,.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? Anonymizing Trajectory Data: Limitations and Opportunities,

Reference 24

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source=pdf_text observed=2026-08-07T05:03:50.185893Z digest=sha256:ea5618496b07159801c88e6e38ba29e8fa5391e370d345ae4f24a0ef3f72f011

Observation 74ca90c0-48be-4eef-b315-744fc6df631a · outbound

This paper cites RAPPOR: Randomized Aggregatable Privacy-Preserving Ordi- nal Response,.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? RAPPOR: Randomized Aggregatable Privacy-Preserving Ordi- nal Response,

Reference 25

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Observation ce802486-53fd-4269-859e-bb8e3b42a3d4 · outbound

This paper cites Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising

Reference 26

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 380c1645-08fd-4d1a-8ee9-5540f938e4e5 · outbound

This paper cites Differential Pri- vacy for Directional Data,.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? Differential Pri- vacy for Directional Data,

Reference 27

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Observation 0f95c025-341d-441b-87bf-20cf2e1b4cc8 · outbound

This paper cites Deep Generative Models for Synthetic Sequential Data: A Survey,.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? Deep Generative Models for Synthetic Sequential Data: A Survey,

Reference 28

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source=pdf_text observed=2026-08-07T05:03:50.386658Z digest=sha256:6247daa6f5669ff65a00a34d0cac1e653cdd9839a19b1cadcf35cd89137f5bba

Observation 9cf70eaa-7f96-46ab-948e-15364bfdbe10 · outbound

This paper cites Autoencoders.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? Autoencoders

Reference 29

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source=pdf_text observed=2026-08-07T05:03:50.443018Z digest=sha256:85244a11a9ea8b0282d2286e7c1646c2c180a49d6cae9263695f162a492443ee

Observation e16b19dc-c3a7-40fc-80f7-c189865645e1 · outbound

This paper cites Auto-Encoding Variational Bayes.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? Auto-Encoding Variational Bayes

Reference 30

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Observation 83e454b1-6b72-4205-8d75-0b088dabcf55 · outbound

This paper cites Generative Adversarial Networks,.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? Generative Adversarial Networks,

Reference 31

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Observation c1a0241d-e530-46f6-a348-735e45784070 · outbound

This paper cites Denoising Diffusion Probabilistic Models.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? Denoising Diffusion Probabilistic Models

Reference 32

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Observation f9ea5ac6-38de-460a-8ade-424b4459a9a6 · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 33

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Observation 2bc39b33-9d81-4696-b6ce-4f4445f85430 · outbound

This paper cites Membership Inference Attacks against Machine Learn- ing Models,.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? Membership Inference Attacks against Machine Learn- ing Models,

Reference 34

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Observation 5968dbcd-cd43-49c0-afd4-39130b59e16e · outbound

This paper cites Deep Learning with Differential Privacy,.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? Deep Learning with Differential Privacy,

Reference 35

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Observation 0720766c-256f-4224-a540-a42b4e23fa62 · outbound

This paper cites Attention Is All You Need.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? Attention Is All You Need

Reference 36

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no resolver link, observed 2026-08-07T05:03:50.884033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:03:50.884033Z digest=sha256:d1e6bb2771da5027e237f0c3929b2ba9dbff019e02ae8ebcb593b6c039ee401f

Observation 937f9819-ba30-4fa6-b895-0c97aace2514 · outbound

This paper cites Member- ship Inference Attacks against Diffusion Models,.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? Member- ship Inference Attacks against Diffusion Models,

Reference 37

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no resolver link, observed 2026-08-07T05:03:50.956272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:03:50.956272Z digest=sha256:efa649bd2a70901ceaf7e5d766f7c5dc80c313ff9aca981806e6329be4029076

Observation 0713084d-c0e9-4d85-bcb4-e190065c7085 · outbound

This paper cites Syn- thetic Trajectory Generation through Convolutional Neural Networks,.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? Syn- thetic Trajectory Generation through Convolutional Neural Networks,

Reference 38

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no resolver link, observed 2026-08-07T05:03:51.009316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:03:51.009316Z digest=sha256:3678e0d318db83c5fc6a740c860a68db2d4cd1703d1f898081dd4f07ab676c39

Observation c819ae91-b800-4997-b19f-ca1474fe5bd3 · outbound

This paper cites Quantifying Location Privacy: The Case of Sporadic Location Exposure,.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? Quantifying Location Privacy: The Case of Sporadic Location Exposure,

Reference 39

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verified exact
doi, observed 2026-08-07T05:03:53.045856Z

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=2026-08-07T05:03:51.085787Z digest=sha256:23e08f70608ca568563230e8edac3561f8736e2924091d093ec24a5b1a684070

Observation f47e21f8-dabc-463e-ba55-dbcd91d2b39a · outbound

This paper cites Opacus: User-Friendly Differential Privacy Library in PyTorch.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? Opacus: User-Friendly Differential Privacy Library in PyTorch

Reference 40

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no resolver link, observed 2026-08-07T05:03:51.144373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:03:51.144373Z digest=sha256:dbb2de75c19cd8480ae26f57136bec002b5623c7b16973ab45ba6bd027b5123d

Observation c8cc026b-fabf-4006-8b54-fb7c3c68d371 · outbound

This paper cites Numerical Composition of Differential Privacy,.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? Numerical Composition of Differential Privacy,

Reference 41

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no resolver link, observed 2026-08-07T05:03:51.209692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:03:51.209692Z digest=sha256:c8236138a8815ba70cdce35d5b06b3c1a090c3681504eb5babc71966a403b827

Observation c9c5117a-2093-482d-b908-2af10484b64c · outbound

This paper cites Directional Privacy for Deep Learning.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? Directional Privacy for Deep Learning

Reference 42

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verified exact
local_arxiv, observed 2026-08-07T05:03:52.877515Z

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=2026-08-07T05:03:51.258890Z digest=sha256:33d8dcd95466a4cda87b3799f2ee04bc5448f318ccc648ab1b25d57613b7d72d

Observation 6e9880e5-674e-4946-8f20-2fb4b1a6cc27 · outbound

This paper cites Diffusion Models Beat GANs on Image Synthesis,.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? Diffusion Models Beat GANs on Image Synthesis,

Reference 43

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metadata mismatch
raw_fallback, observed 2026-08-07T05:03:55.094235Z

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=2026-08-07T05:03:51.306666Z digest=sha256:09e5cc3f155e46687bf97e50c71aea15ca435cf484b2dbb7765ce7f3c4949b1d

Observation 90bba468-2bb7-478d-bba6-adffd96b6071 · outbound

This paper cites High-Resolution Image Synthesis with Latent Diffusion Models,.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? High-Resolution Image Synthesis with Latent Diffusion Models,

Reference 44

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no resolver link, observed 2026-08-07T05:03:51.357014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:03:51.357014Z digest=sha256:89ddb97dbf4bf983637340256d65964013bdee420fb51e56b9ab99c3409ee456

Observation 25f08aa8-0309-4dfc-88b6-12c4092b137f · outbound

This paper cites CompVis/Latent-Diffusion,.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? CompVis/Latent-Diffusion,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:03:57.524867Z

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=2026-08-07T05:03:51.418335Z digest=sha256:d09b493e322cd9fcc52ffaf20e122fbc1b8caf0c1d67740aaa9b5b858d43690c

Observation 6be04830-6baa-4ee8-b8a6-6b5181183679 · outbound

This paper cites On the regularization of Wasserstein GANs.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? On the regularization of Wasserstein GANs

Reference 46

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verified exact
local_arxiv, observed 2026-08-07T05:03:52.773398Z

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=2026-08-07T05:03:51.469006Z digest=sha256:0ff14b528d7fd763d6ada26260391367542fdb914da2a07352f5dbef9210cec1

Observation 1159652f-42bd-4f07-99be-7bb90c4b2d65 · outbound

This paper cites Privacy Ampli- fication by Subsampling: Tight Analyses via Couplings and Divergences,.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? Privacy Ampli- fication by Subsampling: Tight Analyses via Couplings and Divergences,

Reference 47

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metadata mismatch
raw_fallback, observed 2026-08-07T05:03:54.789313Z

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=2026-08-07T05:03:51.525835Z digest=sha256:f90ada9d0bf1c6b9d90006891c9a6b3fb753a7bcddecedc5e0410bd81bb9e99f

Observation 4164274b-eb4c-49e6-a887-753aa2d30cdb · outbound

This paper cites The Hungarian Method for the Assign- ment Problem,.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? The Hungarian Method for the Assign- ment Problem,

Reference 48

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verified exact
doi, observed 2026-08-07T05:03:52.656719Z

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=2026-08-07T05:03:51.589764Z digest=sha256:548060cfd28978c981145bd244c1ce01f2df77e2f88f87044861a9f5d215178f

Observation e67189b5-d8d6-45c3-a1c0-7020b5dcd079 · outbound

This paper cites The Cosine-Haversine Formula,.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? The Cosine-Haversine Formula,

Reference 49

Resolution
verified exact
doi, observed 2026-08-07T05:03:52.517002Z

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=2026-08-07T05:03:51.663987Z digest=sha256:98a74945fc7e57dde930c8e17997a6db6cacc760104a9cef77d9b3394dcb3c8c

Observation 4c8c296a-06e5-4c16-8c52-5510510a008a · outbound

This paper cites Differentially Private Trajectory Data Publication.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? Differentially Private Trajectory Data Publication

Reference 50

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verified exact
local_arxiv, observed 2026-08-07T05:03:52.402917Z

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=2026-08-07T05:03:51.746343Z digest=sha256:0b747974b1afbffc15e8aeba16105d7a00205a05e6199cd566894e99f0d9ce98

Observation 4a13e8da-0a51-4f89-9519-3ef8d4f3d3e1 · outbound

This paper cites GeoPointGAN: Synthetic Spatial Data with Local Label Differential Privacy.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? GeoPointGAN: Synthetic Spatial Data with Local Label Differential Privacy

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:03:52.268919Z

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=2026-08-07T05:03:51.802901Z digest=sha256:8fe923ecd29f68398ac88cd26c49a1ec8860b7a820046d93b606593e59551ecf

Observation 655ad702-5fa5-498a-b1db-01ea187340a1 · outbound

This paper cites Dynamic Time Warping,.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? Dynamic Time Warping,

Reference 52

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malformed identifier
no resolver link, observed 2026-08-07T05:03:51.882450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:03:51.882450Z digest=sha256:7e853d3df235e2f1437c22b0343eb86bc28722292885f9683f359bc80e5c482d

Observation b2f7d407-5956-496b-92db-d49b6abb2c15 · outbound

This paper cites Synthesizing Realistic Trajectory Data with Differential Privacy,.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? Synthesizing Realistic Trajectory Data with Differential Privacy,

Reference 53

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unresolved
no resolver link, observed 2026-08-07T05:03:51.947339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:03:51.947339Z digest=sha256:952bfd241db4f9d8b3957f1dd897e753026689891ba34801db3824b4fa8a8f4e

Observation 621d7529-b40f-4413-afee-e9a94124057a · outbound

This paper cites Wasserstein GAN.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? Wasserstein GAN

Reference 54

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no resolver link, observed 2026-08-07T05:03:52.009139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:03:52.009139Z digest=sha256:5bdb41126f7f61beac3358ab2482a3786f245120fdd8c7a3d3c516baaebe1e93

Observation c955f58f-5f09-4af3-a843-d4d117c03776 · outbound

This paper cites The Privacy Loss Random Variable,.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? The Privacy Loss Random Variable,

Reference 55

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T05:03:54.482279Z

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=2026-08-07T05:03:52.064525Z digest=sha256:e19397ccec658559e21e64f4c46ecadaebf89cfc393ab2074437fa589deebd66

Observation 161a7597-d381-467f-a956-dcee30d92369 · outbound

This paper cites an unresolved cited work.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? Unresolved cited work

Reference 2015

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:03:57.873833Z

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=2026-08-07T05:03:48.867167Z digest=sha256:4b1dce2bb6148d4726964e3ff4650b6b2d598d0c08e5cb9b32b5eae0b6373fc8

Observation 47a7d252-79ba-42cc-97f3-f2bc40e7a7e5 · outbound

This paper cites an unresolved cited work.

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? Unresolved cited work

Reference 2020

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metadata mismatch
raw_fallback, observed 2026-08-07T05:03:57.237929Z

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=2026-08-07T05:03:49.294468Z digest=sha256:616bd8aa306f0b8e86be916cad69831d6bdeb4231d364a531c587fb932705b34

Pith citing papers

No inbound Pith citation observations are available.