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Paper Citation Record · LEDGER

Differentially Private Empirical Cumulative Distribution Functions

As of 20 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 1 inbound Pith citation observation for arXiv:2502.06651.

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

pith.paper-citation-record.v1
2502.06651 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:53:34.155779Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:02:00.280266Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:02:06.286405Z

Reference resolution

20 of 20 outbound references displayed

  • verified exact2
  • verified fuzzy17
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2613bce2-5f15-440b-b872-468b6acac77d · outbound

This paper cites Private Summation in the Multi-Message Shuffle Model.

Differentially Private Empirical Cumulative Distribution Functions Private Summation in the Multi-Message Shuffle Model

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:53:35.012127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T14:53:34.059313Z digest=sha256:f29417edb8cc9716ab8d736d8ba159c5d8af58f569c8db663ea77106df79e2c9

Observation 8c404583-73c7-48c1-aed4-5c9064b40f58 · outbound

This paper cites Brendan McMahan, Sarvar Patel, Daniel Ramage, Aaron Segal, and Karn Seth.

Differentially Private Empirical Cumulative Distribution Functions Brendan McMahan, Sarvar Patel, Daniel Ramage, Aaron Segal, and Karn Seth

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:53:34.998426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T14:53:34.070302Z digest=sha256:69c1b2d3af6771d0b39f44a04c4103b92e1bc561787688f18255338d8e93c420

Observation a91535e0-dc6a-4a7d-acb9-1e6f12fe7123 · outbound

This paper cites Function secret sharing.

Differentially Private Empirical Cumulative Distribution Functions Function secret sharing

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:53:34.985539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T14:53:34.075574Z digest=sha256:c9edeb252305112256fc42f1c7a48e194ee2c3a0ebbf16112f8d929265bc142b

Observation d517e6a6-6fd0-43ef-9312-d26f5344bdf2 · outbound

This paper cites Differentially Private Histograms under Continual Observation: Streaming Selection into the Unknown.

Differentially Private Empirical Cumulative Distribution Functions Differentially Private Histograms under Continual Observation: Streaming Selection into the Unknown

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-08T14:53:34.401101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T14:53:34.080088Z digest=sha256:1040ba1a7a0ddc1af0368e0ddec9a6e9e8085d7529e6985b999742925f98c63f

Observation 5eb61c7c-a60f-441a-9a1a-356df5ca3bb8 · outbound

This paper cites an unresolved cited work.

Differentially Private Empirical Cumulative Distribution Functions Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-08T14:53:34.954391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T14:53:34.085331Z digest=sha256:b6154773b98c5335d2b8fd2475107cdeed22a47b57f1ce771b9da73de28774f6

Observation 69a2fd7c-0108-4474-a915-780b8d18e65e · outbound

This paper cites Hubert Chan, Elaine Shi, and Dawn Song.

Differentially Private Empirical Cumulative Distribution Functions Hubert Chan, Elaine Shi, and Dawn Song

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:53:34.842640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T14:53:34.090461Z digest=sha256:78e1c64dfcde184941d1daf73ee4f475664ad5eb7dd3b2633e6a2586214548df

Observation 187f0c91-aef1-44b9-9db6-72dcca50c70d · outbound

This paper cites Smith, Jonathan Ullman, David Zeber, and Maxim Zhilyaev.

Differentially Private Empirical Cumulative Distribution Functions Smith, Jonathan Ullman, David Zeber, and Maxim Zhilyaev

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:53:34.733507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T14:53:34.095785Z digest=sha256:47a5e2302c5fbcac6f75b678b52ce068066b83757ce0b3797a68521229ecdb13

Observation 7cfc9f36-455d-41fb-9d38-bf97dcdee36b · outbound

This paper cites Our Data, Ourselves: Privacy Via Distributed Noise Generation.

Differentially Private Empirical Cumulative Distribution Functions Our Data, Ourselves: Privacy Via Distributed Noise Generation

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:53:34.650335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T14:53:34.099945Z digest=sha256:7bbc8f54ca7dfcf9a956877229b406100914cb8faf1b9499f6383ea208bd6b36

Observation 38ee3c81-06c2-4e33-bf6e-0772c79083f1 · outbound

This paper cites Differential privacy under continual observation.

Differentially Private Empirical Cumulative Distribution Functions Differential privacy under continual observation

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:53:34.613979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T14:53:34.104966Z digest=sha256:8ba9bea4fa8eaffdd508a0288c7327916752d3be6848179d8096d00ff3df720b

Observation 516b80d5-81d1-4bd8-a8ca-ac19bc8e1e9f · outbound

This paper cites The Algorithmic Foundations of Differential Privacy.

Differentially Private Empirical Cumulative Distribution Functions The Algorithmic Foundations of Differential Privacy

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:53:34.599995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T14:53:34.110011Z digest=sha256:5e1758e1ed38fae03da2d4a1ad94d010a51132213763b64fc83c2694b75afe8f

Observation 6e46ec61-b3d6-44d4-8380-8eff76721fa6 · outbound

This paper cites Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity.

Differentially Private Empirical Cumulative Distribution Functions Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:53:34.585959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T14:53:34.114464Z digest=sha256:0f7f013fd308e8c4f794f81f648b3e3c76ecc03efee55c9e89d7f753647fea6d

Observation 1d6699c2-47ad-4e3c-ac5f-ed4cb999d8fb · outbound

This paper cites Private counting from anonymous messages: Near-optimal accuracy with vanishing communication overhead.

Differentially Private Empirical Cumulative Distribution Functions Private counting from anonymous messages: Near-optimal accuracy with vanishing communication overhead

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:53:34.571986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T14:53:34.118961Z digest=sha256:3ef3294f1156c550d9cb51083eede6124fb420762c050178ee0644ad935599ed

Observation 0bd9442a-4c9c-405d-b0e5-4e82fb54991a · outbound

This paper cites Secure Summation via Subset Sums: A New Primitive for Privacy-Preserving Distributed Machine Learning.

Differentially Private Empirical Cumulative Distribution Functions Secure Summation via Subset Sums: A New Primitive for Privacy-Preserving Distributed Machine Learning

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-08T14:53:34.276173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T14:53:34.123693Z digest=sha256:7a3ba8fcbac11125ff181ecdc385405dfb59dfe56c19c610ab2b57d4bfe30477

Observation 51329141-984a-478a-9e42-864ef6faf60d · outbound

This paper cites Hosmer, Stanley Lemeshow, and Rodney X.

Differentially Private Empirical Cumulative Distribution Functions Hosmer, Stanley Lemeshow, and Rodney X

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:53:34.558215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T14:53:34.128767Z digest=sha256:fa5fcd3c35c360b0fb4a48c7a27c657b4e87938020ef2fbf02f0571c0686651b

Observation 807b4531-f702-428c-8b25-9083cae9ec08 · outbound

This paper cites Distributed learning without distress: Privacy-preserving empirical risk minimization.

Differentially Private Empirical Cumulative Distribution Functions Distributed learning without distress: Privacy-preserving empirical risk minimization

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:53:34.544693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T14:53:34.133092Z digest=sha256:0f3729ff74a5d67004e432f61deda6dbd218cf0e1af46c16551717c323dab4e8

Observation eaa16df6-9154-49ab-ba98-b5fe82163682 · outbound

This paper cites Meyfroidt, F.

Differentially Private Empirical Cumulative Distribution Functions Meyfroidt, F

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:53:34.530272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T14:53:34.137417Z digest=sha256:d5db71abc73879647dc7d4c9de52ba79854fc80cf4e4b214fc9c1ba67897a3e9

Observation f907cb94-92aa-4ef6-86a7-5b1675644544 · outbound

This paper cites Provost, T.

Differentially Private Empirical Cumulative Distribution Functions Provost, T

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:53:34.515679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T14:53:34.142091Z digest=sha256:c7276735bd9afc36481986f0d64d6d06ce48d2498b5436b0a7c43b11de7cbaf2

Observation 606c2117-ee87-444d-adcd-45d8d72d8ad9 · outbound

This paper cites Zero knowledge arguments for verifiable sampling.

Differentially Private Empirical Cumulative Distribution Functions Zero knowledge arguments for verifiable sampling

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:53:34.502184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T14:53:34.146588Z digest=sha256:79e5d5f8125d7f3e0c58f97ad04f69feeb58c2a321e909e3dfd31e13616724f3

Observation d6b6c9d7-4a51-4864-8b11-e0b371d73834 · outbound

This paper cites An accurate, scalable and verifiable protocol for federated differentially private averaging, 2021.

Differentially Private Empirical Cumulative Distribution Functions An accurate, scalable and verifiable protocol for federated differentially private averaging, 2021

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:53:34.486936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T14:53:34.151139Z digest=sha256:81dc7ae824f7a9c53f83c49f00d48e42d14b36526598715a0bccb68851679a0e

Observation a3ffb0b3-5d16-4434-a431-634267fc2bab · outbound

This paper cites Hubert Chan, Eleanor G.

Differentially Private Empirical Cumulative Distribution Functions Hubert Chan, Eleanor G

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:53:34.471209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T14:53:34.155779Z digest=sha256:46ce9fc346837b7d9d38a21fece337e1e15b3606ad1f68cf27430d5ac3ea8452

Pith citing papers

Observation 6e61a4f4-7458-40d5-a036-d1f3a237bf8d · inbound

Dropout-Robust Mechanisms for Differentially Private and Fully Decentralized Mean Estimation cites this paper.

Dropout-Robust Mechanisms for Differentially Private and Fully Decentralized Mean Estimation Differentially Private Empirical Cumulative Distribution Functions

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:02:06.391062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:02:00.280266Z digest=sha256:e9fc5915fe2d21c9a90e95c213b55ee74b47988b8098ad19b562f714d298f70c