Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2006.10521.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:49:43.111695Z
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 2026-08-09T06:31:02.800959+00:00.
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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.