Paper Citation Record · LEDGER

Unleash the Power of Ellipsis: Accuracy-enhanced Sparse Vector Technique with Exponential Noise

As of 24 July 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2407.20068.

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

pith.paper-citation-record.v1
2407.20068 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-23T22:57:09.865097Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-24T06:31:00.690269+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

14 of 14 outbound references displayed

verified exact7
verified fuzzy6
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 80c44021-61b4-49b4-9446-3e21d3af6c02 · outbound

This paper cites Rappor: Randomized aggregatable privacy-preserving ordinal response.

Unleash the Power of Ellipsis: Accuracy-enhanced Sparse Vector Technique with Exponential Noise Rappor: Randomized aggregatable privacy-preserving ordinal response

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:58:35.109746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation 3ee9ee0b-a1ea-4b23-b385-c519bc44eb09 · outbound

This paper cites Boosting and differential privacy.

Unleash the Power of Ellipsis: Accuracy-enhanced Sparse Vector Technique with Exponential Noise Boosting and differential privacy

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:58:35.101182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation e48b0b78-7a6e-40ef-a7a7-cefc4a7963f4 · outbound

This paper cites Tight on budget? tight bounds for r-fold approximate differential privacy.

Unleash the Power of Ellipsis: Accuracy-enhanced Sparse Vector Technique with Exponential Noise Tight on budget? tight bounds for r-fold approximate differential privacy

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:58:35.104468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation 1ff002ba-4940-4d59-8973-b23899921cb3 · outbound

This paper cites Rényi differential privacy.

Unleash the Power of Ellipsis: Accuracy-enhanced Sparse Vector Technique with Exponential Noise Rényi differential privacy

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:58:35.107188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation 585fb884-c02d-457f-8e79-005bf6e2c77c · outbound

This paper cites Privkv: Key-value data collection with local differential privacy.

Unleash the Power of Ellipsis: Accuracy-enhanced Sparse Vector Technique with Exponential Noise Privkv: Key-value data collection with local differential privacy

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:58:35.098087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation cc2b6847-9dc0-4e50-812b-1bf869eab042 · outbound

This paper cites Collecting triangle counts with edge relationship local differential privacy.

Unleash the Power of Ellipsis: Accuracy-enhanced Sparse Vector Technique with Exponential Noise Collecting triangle counts with edge relationship local differential privacy

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:58:35.094919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation 214b08b9-d3b2-4459-bf4f-f0e297884f62 · outbound

This paper cites Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model.

Unleash the Power of Ellipsis: Accuracy-enhanced Sparse Vector Technique with Exponential Noise Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-23T22:58:34.423037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation e409d8fd-149d-43fa-be4a-7f2d8ed34ac7 · outbound

This paper cites Zijian Zheng, Ron Kohavi, and Llew Mason.

Unleash the Power of Ellipsis: Accuracy-enhanced Sparse Vector Technique with Exponential Noise Zijian Zheng, Ron Kohavi, and Llew Mason

Reference 8

Resolution: verified exact; doi, observed 2026-05-23T22:58:33.778475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation c5751952-df6a-4f2e-b7cb-9c9472a9a5c5 · outbound

This paper cites Becker, R.

Unleash the Power of Ellipsis: Accuracy-enhanced Sparse Vector Technique with Exponential Noise Becker, R

Reference 9

Resolution: metadata mismatch; doi, observed 2026-05-23T22:58:33.773274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation a15c2be5-90fe-4ab2-8ab2-d0ddbac3a623 · outbound

This paper cites Differentially Private Algorithms for Empirical Machine Learning.

Unleash the Power of Ellipsis: Accuracy-enhanced Sparse Vector Technique with Exponential Noise Differentially Private Algorithms for Empirical Machine Learning

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-23T22:58:34.427220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation 77522696-efe8-4bfb-a485-98185f772fed · outbound

This paper cites Wide Network Learning with Differential Privacy.

Unleash the Power of Ellipsis: Accuracy-enhanced Sparse Vector Technique with Exponential Noise Wide Network Learning with Differential Privacy

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-23T22:58:34.431392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation f2d37909-07df-43cd-ac83-b8e74164947f · outbound

This paper cites On Differentially Private Online Predictions.

Unleash the Power of Ellipsis: Accuracy-enhanced Sparse Vector Technique with Exponential Noise On Differentially Private Online Predictions

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-23T22:58:34.418669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation 0614131b-406b-40d9-9001-db8329519fbf · outbound

This paper cites Differentially Private Top-k Selection via Canonical Lipschitz Mechanism.

Unleash the Power of Ellipsis: Accuracy-enhanced Sparse Vector Technique with Exponential Noise Differentially Private Top-k Selection via Canonical Lipschitz Mechanism

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-23T22:58:34.414425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation 090252e9-bd9b-4f23-a640-d9ccf48fb2d5 · outbound

This paper cites The Permute-and-Flip Mechanism is Identical to Report-Noisy-Max with Exponential Noise.

Unleash the Power of Ellipsis: Accuracy-enhanced Sparse Vector Technique with Exponential Noise The Permute-and-Flip Mechanism is Identical to Report-Noisy-Max with Exponential Noise

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-23T22:58:34.409973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Pith citing papers

No inbound Pith citation observations are available.