Paper Citation Record · LEDGER

Clustering and Median Aggregation Improve Differentially Private Inference

As of 7 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 1 inbound Pith citation observation for arXiv:2506.04566.

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

pith.paper-citation-record.v1
2506.04566 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:47:28.383142Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-19T06:51:03.385016Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T06:52:07.859138Z

Reference resolution

25 of 25 outbound references displayed

verified exact5
verified fuzzy8
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 15acf7bb-249c-4e7a-b0e0-5acf599975fe · outbound

This paper cites an unresolved cited work.

Clustering and Median Aggregation Improve Differentially Private Inference Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:47:28.633447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5325b1a5-62b3-4582-ae2d-8d63bef61075 · outbound

This paper cites ```" for PT,.

Clustering and Median Aggregation Improve Differentially Private Inference ```" for PT,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:28.623311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d665ec5f-5103-41fe-abf5-7eb7d15fe2fa · outbound

This paper cites Inan, Andre Manoel, Fatemehsadat Mireshghallah, Zinan Lin, Sivakanth Gopi, Janardhan Kulkarni, and Robert Sim.

Clustering and Median Aggregation Improve Differentially Private Inference Inan, Andre Manoel, Fatemehsadat Mireshghallah, Zinan Lin, Sivakanth Gopi, Janardhan Kulkarni, and Robert Sim

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:28.698301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b5209fe5-72e6-45a3-9096-cae457ce8279 · outbound

This paper cites Gecko: Versatile Text Embeddings Distilled from Large Language Models.

Clustering and Median Aggregation Improve Differentially Private Inference Gecko: Versatile Text Embeddings Distilled from Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T10:47:28.310943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 770a8ee3-455f-4ade-82f0-f48599c77963 · outbound

This paper cites DPM: Clustering Sensitive Data through Separation.

Clustering and Median Aggregation Improve Differentially Private Inference DPM: Clustering Sensitive Data through Separation

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:47:28.573265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 06a5ffa1-3aea-4176-883a-e6f45b25c437 · outbound

This paper cites Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe.

Clustering and Median Aggregation Improve Differentially Private Inference Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T10:47:28.332454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f648d5f-fb8d-40d8-b5c3-cd92bbb57c07 · outbound

This paper cites Justus Mattern, Zhijing Jin, Benjamin Weggenmann, Bernhard Schoelkopf, and Mrinmaya Sachan.

Clustering and Median Aggregation Improve Differentially Private Inference Justus Mattern, Zhijing Jin, Benjamin Weggenmann, Bernhard Schoelkopf, and Mrinmaya Sachan

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T10:47:28.336748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19d6df59-7df0-44b6-a24e-2be39ab58b76 · outbound

This paper cites doi: 10.18653/v1/2022.emnlp-main.323.

Clustering and Median Aggregation Improve Differentially Private Inference doi: 10.18653/v1/2022.emnlp-main.323

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T10:47:28.340707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0247f1d-b273-47c3-a4b0-edf0355478e9 · outbound

This paper cites Harnessing large-language models to generate private synthetic text.

Clustering and Median Aggregation Improve Differentially Private Inference Harnessing large-language models to generate private synthetic text

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T10:47:28.344559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 320db224-33c0-458a-b971-8f958dcdc07d · outbound

This paper cites KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server.

Clustering and Median Aggregation Improve Differentially Private Inference KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:47:28.516254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8983b170-f5b0-43dc-be2a-dfa185831ead · outbound

This paper cites Differentially Private Tabular Data Synthesis using Large Language Models.

Clustering and Median Aggregation Improve Differentially Private Inference Differentially Private Tabular Data Synthesis using Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T10:47:28.352313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d21a1d2-aa29-442a-b6ca-999865c477bb · outbound

This paper cites Differentially private synthetic data via foundation model APIs 2: Text.

Clustering and Median Aggregation Improve Differentially Private Inference Differentially private synthetic data via foundation model APIs 2: Text

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:28.653406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1353c80c-6876-48df-8833-a197b5089d4e · outbound

This paper cites Differentially Private Synthetic Data via APIs 3: Using Simulators Instead of Foundation Model.

Clustering and Median Aggregation Improve Differentially Private Inference Differentially Private Synthetic Data via APIs 3: Using Simulators Instead of Foundation Model

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T10:47:28.360138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a17bfe1a-76a2-4125-b201-350315fca8e5 · outbound

This paper cites Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning.

Clustering and Median Aggregation Improve Differentially Private Inference Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T10:47:28.364112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a704e81-ed1e-4f6a-b3fc-de2c013d0472 · outbound

This paper cites Well-Read Students Learn Better: On the Importance of Pre-training Compact Models.

Clustering and Median Aggregation Improve Differentially Private Inference Well-Read Students Learn Better: On the Importance of Pre-training Compact Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T10:47:28.375567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2a2d73c-c41c-43e7-b582-7dca00520197 · outbound

This paper cites Data-dependent differentially private parameter learning for directed graphical models.

Clustering and Median Aggregation Improve Differentially Private Inference Data-dependent differentially private parameter learning for directed graphical models

Reference 2006

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:28.665051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f07d82b3-df4a-408c-93c2-a33188c8a75c · outbound

This paper cites Synthesizing Privacy-Preserving Text Data via Finetuning without Finetuning Billion-Scale LLMs.

Clustering and Median Aggregation Improve Differentially Private Inference Synthesizing Privacy-Preserving Text Data via Finetuning without Finetuning Billion-Scale LLMs

Reference 2007

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:47:28.556300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a74044ed-f187-4de3-b669-74407d328989 · outbound

This paper cites Nyt articles: 2.1m+ (2000-present),.

Clustering and Median Aggregation Improve Differentially Private Inference Nyt articles: 2.1m+ (2000-present),

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:28.643382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4b209dc9-e2a5-40f6-8198-303b35f6e068 · outbound

This paper cites Differentially private $k$-means clustering via exponential mechanism and max cover.

Clustering and Median Aggregation Improve Differentially Private Inference Differentially private $k$-means clustering via exponential mechanism and max cover

Reference 2017

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:47:28.461917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 63d85b50-9541-4f51-978e-0a14bf1e9959 · outbound

This paper cites Prompt Public Large Language Models to Synthesize Data for Private On-device Applications.

Clustering and Median Aggregation Improve Differentially Private Inference Prompt Public Large Language Models to Synthesize Data for Private On-device Applications

Reference 2018

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:47:28.612766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e8b150b9-94fe-4bb7-9819-39bf6ad81d2f · outbound

This paper cites Gecko: Versatile Text Embeddings Distilled from Large Language Models.

Clustering and Median Aggregation Improve Differentially Private Inference Gecko: Versatile Text Embeddings Distilled from Large Language Models

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T10:47:28.306668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e5fbe64-7360-42f8-b302-f2b39bcd6b94 · outbound

This paper cites Differentially private decoding in large language models.

Clustering and Median Aggregation Improve Differentially Private Inference Differentially private decoding in large language models

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:28.708180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ecc44196-f5bf-4b13-8fcb-1f2473f13400 · outbound

This paper cites Adaptively Private Next-Token Prediction of Large Language Models.

Clustering and Median Aggregation Improve Differentially Private Inference Adaptively Private Next-Token Prediction of Large Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T10:47:28.294391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4704f9c5-5d7f-4384-8630-92472cc6cf04 · outbound

This paper cites Private prediction for large-scale synthetic text generation.

Clustering and Median Aggregation Improve Differentially Private Inference Private prediction for large-scale synthetic text generation

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:28.687758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 001913cf-3c4d-41c0-a4f4-0e91d4566c39 · outbound

This paper cites Calibrating noise to sensitivity in private data analysis.

Clustering and Median Aggregation Improve Differentially Private Inference Calibrating noise to sensitivity in private data analysis

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:28.676781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation 837152bf-e33f-42fe-8450-6f50255cdcc5 · inbound

InvisibleInk: High-Utility and Low-Cost Text Generation with Differential Privacy cites this paper.

InvisibleInk: High-Utility and Low-Cost Text Generation with Differential Privacy Clustering and Median Aggregation Improve Differentially Private Inference

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-19T06:52:07.862154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.