Paper Citation Record · LEDGER

LDPTrace: Locally Differentially Private Trajectory Synthesis

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2302.06180.

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

pith.paper-citation-record.v1
2302.06180 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T01:06:21.989017Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T13:38:19.422492Z

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 895c84d0-2b94-473e-ba75-36925f275f4b · inbound

Private Continuous-Time Synthetic Trajectory Generation via Mean-Field Langevin Dynamics cites this paper.

Private Continuous-Time Synthetic Trajectory Generation via Mean-Field Langevin Dynamics LDPTrace: Locally Differentially Private Trajectory Synthesis

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T01:06:21.989017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0aeaa7f-9cf5-48ad-9315-93be3d6a88cb · 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 LDPTrace: Locally Differentially Private Trajectory Synthesis

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T19:27:44.696482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2258030f-8d6e-45ef-8501-5c10da2bbc29 · inbound

Efficient Prompt Learning for Traffic Forecasting cites this paper.

Efficient Prompt Learning for Traffic Forecasting LDPTrace: Locally Differentially Private Trajectory Synthesis

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:06:26.772433Z

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 7d2f64b6-da93-42cb-aa04-4f514a5a0400 · inbound

DP-SelFT: Differentially Private Selective Fine-Tuning for Large Language Models cites this paper.

DP-SelFT: Differentially Private Selective Fine-Tuning for Large Language Models LDPTrace: Locally Differentially Private Trajectory Synthesis

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:38:19.424097Z

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.