Paper Citation Record · LEDGER

LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2006.10521.

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

pith.paper-citation-record.v1
2006.10521 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:42:42.343066Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:26:18.161911Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9442232e-1168-4f04-bffd-7c3796dd7293 · inbound

Restoring Super-High Resolution GPS Mobility Data cites this paper.

Restoring Super-High Resolution GPS Mobility Data LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:15:48.095007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8c8036bc-ff9b-41cd-a488-9837688882ef · inbound

DiffRoad: Realistic and Diverse Road Scenario Generation for Autonomous Vehicle Testing cites this paper.

DiffRoad: Realistic and Diverse Road Scenario Generation for Autonomous Vehicle Testing LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-12T20:42:42.343066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2171abe8-d977-48f5-8b44-a58d5cee3454 · inbound

Noise Matters: Diffusion Model-based Urban Mobility Generation with Collaborative Noise Priors cites this paper.

Noise Matters: Diffusion Model-based Urban Mobility Generation with Collaborative Noise Priors LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T21:07:25.941202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 903b148b-d688-45e0-a8f1-ed5e7bc69930 · inbound

Towards Physics-informed Diffusion for Anomaly Detection in Trajectories cites this paper.

Towards Physics-informed Diffusion for Anomaly Detection in Trajectories LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T05:49:43.111695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4510ac02-5a7a-4418-a491-a8a028891d17 · inbound

Leveraging the Spatial Hierarchy: Coarse-to-fine Trajectory Generation via Cascaded Hybrid Diffusion cites this paper.

Leveraging the Spatial Hierarchy: Coarse-to-fine Trajectory Generation via Cascaded Hybrid Diffusion LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T19:27:44.808846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66280ee9-ea51-4cbd-8dfb-c6eea5167176 · inbound

Ctx2TrajGen: Traffic Context-Aware Microscale Vehicle Trajectories using Generative Adversarial Imitation Learning cites this paper.

Ctx2TrajGen: Traffic Context-Aware Microscale Vehicle Trajectories using Generative Adversarial Imitation Learning LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T14:52:26.174862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f42f7b5-15b7-43ee-a3d4-20b41804efd8 · inbound

A Dual Perspective on Synthetic Trajectory Generators: Utility Framework and Privacy Vulnerabilities cites this paper.

A Dual Perspective on Synthetic Trajectory Generators: Utility Framework and Privacy Vulnerabilities LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection

Reference 101

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:11:03.519518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8748524a-8af1-4ae9-ae0b-5510f76c8fe4 · inbound

diffGHOST: Diffusion based Generative Hedged Oblivious Synthetic Trajectories cites this paper.

diffGHOST: Diffusion based Generative Hedged Oblivious Synthetic Trajectories LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T05:26:25.031073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3df40740-9f6f-493c-a177-99f768a460c5 · inbound

Privacy Evaluation of Generative Models for Trajectory Generation cites this paper.

Privacy Evaluation of Generative Models for Trajectory Generation LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-19T16:23:08.545204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2cc55a61-00b6-4667-8430-26ae8b4ef5bc · inbound

From GPS Points to Travel Patterns: Flexible and Semantic Trajectory Generation with LLMs cites this paper.

From GPS Points to Travel Patterns: Flexible and Semantic Trajectory Generation with LLMs LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-06-29T07:23:12.887076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 41500db1-004d-4ba3-ac98-9c3d377290a2 · inbound

CityTrajBench: A Unified Benchmark for City-Scale Vehicle Trajectory Generation cites this paper.

CityTrajBench: A Unified Benchmark for City-Scale Vehicle Trajectory Generation LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:26:18.163342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.