Paper Citation Record · LEDGER

Private Continuous-Time Synthetic Trajectory Generation via Mean-Field Langevin Dynamics

As of 17 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 1 inbound Pith citation observation for arXiv:2506.12203.

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

pith.paper-citation-record.v1
2506.12203 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T01:06:22.022074Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:14:59.466122Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:15:01.374851Z

Reference resolution

14 of 14 outbound references displayed

verified exact2
verified fuzzy3
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ef6933e6-4928-43c4-a3e6-b6c4685ed76f · outbound

This paper cites Privacy-preserving data release leveraging optimal transport and particle gradient descent.

Private Continuous-Time Synthetic Trajectory Generation via Mean-Field Langevin Dynamics Privacy-preserving data release leveraging optimal transport and particle gradient descent

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-07T01:06:22.163760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6de9c176-b2b7-4658-9b1a-799b5ce04817 · outbound

This paper cites Privacy without Noisy Gradients: Slicing Mechanism for Generative Model Training.

Private Continuous-Time Synthetic Trajectory Generation via Mean-Field Langevin Dynamics Privacy without Noisy Gradients: Slicing Mechanism for Generative Model Training

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-07T01:06:22.126346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 93eae83b-fbe9-4ecd-9c1d-43e4ad18d7da · outbound

This paper cites From the Schr ¨odinger problem to the MongeKantorovich problem.

Private Continuous-Time Synthetic Trajectory Generation via Mean-Field Langevin Dynamics From the Schr ¨odinger problem to the MongeKantorovich problem

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:06:22.186512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6cb0fb18-0b66-492b-bca9-9cb984ad797f · outbound

This paper cites Simulation-free Schr\"odinger bridges via score and flow matching.

Private Continuous-Time Synthetic Trajectory Generation via Mean-Field Langevin Dynamics Simulation-free Schr\"odinger bridges via score and flow matching

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T01:06:22.014837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4227976-cc00-45e7-9ae5-78bc51d28a66 · outbound

This paper cites Differentially Private Generative Adversarial Network.

Private Continuous-Time Synthetic Trajectory Generation via Mean-Field Langevin Dynamics Differentially Private Generative Adversarial Network

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T01:06:22.018174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9637748-2e27-4f19-b23b-8dc4377668b4 · outbound

This paper cites Learning Density Evolution from Snapshot Data.

Private Continuous-Time Synthetic Trajectory Generation via Mean-Field Langevin Dynamics Learning Density Evolution from Snapshot Data

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T01:06:22.022074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8561303b-8abf-4848-a5eb-e313eeb34f71 · outbound

This paper cites Deep learning with gaussian differential privacy.Harvard data science review, 2020(23):10–1162,.

Private Continuous-Time Synthetic Trajectory Generation via Mean-Field Langevin Dynamics Deep learning with gaussian differential privacy.Harvard data science review, 2020(23):10–1162,

Reference 2007

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:06:22.196715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d27bfcb1-6bbe-444e-bc30-2fa48a7cebbb · outbound

This paper cites Brendan McMahan, Ilya Mironov, Kunal Talwar, and Li Zhang.

Private Continuous-Time Synthetic Trajectory Generation via Mean-Field Langevin Dynamics Brendan McMahan, Ilya Mironov, Kunal Talwar, and Li Zhang

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:06:22.207522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d53352eb-9e65-4040-9290-c3b487617d0d · outbound

This paper cites LinkedIn's Audience Engagements API: A Privacy Preserving Data Analytics System at Scale.

Private Continuous-Time Synthetic Trajectory Generation via Mean-Field Langevin Dynamics LinkedIn's Audience Engagements API: A Privacy Preserving Data Analytics System at Scale

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-07T01:06:22.008050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ab93f0c-565e-4c26-a5be-9aa4fcd44fbc · outbound

This paper cites Multi-marginal Schr\"odinger Bridges with Iterative Reference Refinement.

Private Continuous-Time Synthetic Trajectory Generation via Mean-Field Langevin Dynamics Multi-marginal Schr\"odinger Bridges with Iterative Reference Refinement

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T01:06:22.011497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19fcb994-ce9b-4025-aaba-413f4b133fdb · outbound

This paper cites Uniform-in-$N$ log-Sobolev inequality for the mean-field Langevin dynamics with convex energy.

Private Continuous-Time Synthetic Trajectory Generation via Mean-Field Langevin Dynamics Uniform-in-$N$ log-Sobolev inequality for the mean-field Langevin dynamics with convex energy

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T01:06:21.982207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 895c84d0-2b94-473e-ba75-36925f275f4b · outbound

This paper cites LDPTrace: Locally Differentially Private Trajectory Synthesis.

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 65ac214e-6ecf-4974-a679-d4a593bd89e9 · outbound

This paper cites Differentially Private Release of Israel's National Registry of Live Births.

Private Continuous-Time Synthetic Trajectory Generation via Mean-Field Langevin Dynamics Differentially Private Release of Israel's National Registry of Live Births

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T01:06:22.000079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cc00b5d-3352-483b-927e-035afa777661 · outbound

This paper cites Mirror Mean-Field Langevin Dynamics.

Private Continuous-Time Synthetic Trajectory Generation via Mean-Field Langevin Dynamics Mirror Mean-Field Langevin Dynamics

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T01:06:21.992796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation fc621c3a-ad11-4b8b-886b-20038d2d57d7 · inbound

Convergence Rate of the Solution of Multi-marginal Schrodinger Bridge Problem with Marginal Constraints from SDEs cites this paper.

Convergence Rate of the Solution of Multi-marginal Schrodinger Bridge Problem with Marginal Constraints from SDEs Private Continuous-Time Synthetic Trajectory Generation via Mean-Field Langevin Dynamics

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:15:01.422693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.