Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:10:19.436912Z
Paper Citation Record · LEDGER
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix
As of 8 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2507.06508.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
60 of 60 outbound references displayed
- verified exact0
- verified fuzzy49
- unresolved9
- parse uncertain1
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 98bec6d5-610a-4f6a-8e1a-65e2c26724f6 · outbound
This paper cites Hadamard response: Estimating distributions privately, efficiently, and with little communication.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Hadamard response: Estimating distributions privately, efficiently, and with little communication
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:20.326249Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 64f3b419-031a-46e5-aa22-2c96592d8f2e · outbound
This paper cites S., G OULEAKIS , T., PEEBLES , J., R UBINFELD , R., AND YODPINYANEE , A.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix S., G OULEAKIS , T., PEEBLES , J., R UBINFELD , R., AND YODPINYANEE , A
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:20.312229Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 774dea46-c12e-4958-8949-ed6fcb779350 · outbound
This paper cites Counting triangles in large graphs using ran- domized matrix trace estimation.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Counting triangles in large graphs using ran- domized matrix trace estimation
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:20.298088Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 9f0a5173-de71-42f4-a74b-613aaf6f26eb · outbound
This paper cites The privacy blanket of the shuffle model.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix The privacy blanket of the shuffle model
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:20.284240Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 89b4887c-3f4c-434a-a26c-6e03407a65af · outbound
This paper cites K., AND SESHADHRI , C.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix K., AND SESHADHRI , C
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:20.269512Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 9aa83368-b493-40b8-8879-9371d186dc30 · outbound
This paper cites W., SCHNEIDER , S., AND KERSCHBAUM , F.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix W., SCHNEIDER , S., AND KERSCHBAUM , F
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:20.255878Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d12cfdae-70dc-4ab3-8ce8-ec780953d456 · outbound
This paper cites A privacy- preserving mechanism based on local differential pri- vacy in edge computing.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix A privacy- preserving mechanism based on local differential pri- vacy in edge computing
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:20.241986Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 5ac99d6a-7196-4cc8-b979-ef3fa67802e4 · outbound
This paper cites Approximate counting of k-paths: Deterministic and in polynomial space.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Approximate counting of k-paths: Deterministic and in polynomial space
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:20.228220Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ef3cbb5f-305f-432d-b6c4-0e60be63ae80 · outbound
This paper cites Distributed differential privacy via shuf- fling.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Distributed differential privacy via shuf- fling
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:20.214054Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 2c0ea86d-42c0-4c10-ade5-288cf3ba170e · outbound
This paper cites Arboricity and sub- graph listing algorithms.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Arboricity and sub- graph listing algorithms
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:20.199080Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 9ac97b1d-fd91-4c3a-abac-f97635ac77a5 · outbound
This paper cites Matrix mul- tiplication via arithmetic progressions.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Matrix mul- tiplication via arithmetic progressions
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:20.184445Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 5a45ae88-30dc-45c6-b65f-e9a7bb7e82ed · outbound
This paper cites an unresolved cited work.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T19:10:20.171009Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation fc6a1c2e-913a-4bd1-a6bd-63fb236d78a9 · outbound
This paper cites Faster matrix mul- tiplication via asymmetric hashing.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Faster matrix mul- tiplication via asymmetric hashing
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:20.157401Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation b5a6bec9-0ccd-426b-97ad-50a1a44a3bbc · outbound
This paper cites Differential privacy.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Differential privacy
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:20.143676Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 5195ab32-8932-48c2-92ab-301a77e30b3a · outbound
This paper cites Calibrating noise to sensitivity in private data anal- ysis.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Calibrating noise to sensitivity in private data anal- ysis
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:20.130666Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 43c15dd8-d91b-4215-8784-6590356b1d58 · outbound
This paper cites The algorithmic founda- tions of differential privacy.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix The algorithmic founda- tions of differential privacy
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:20.116222Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f2436c97-5958-4b3a-bfea-9a9b9d475778 · outbound
This paper cites Approximately counting triangles in sublinear time.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Approximately counting triangles in sublinear time
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:20.101664Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 40d4a52c-9c22-4309-9967-a299448a925c · outbound
This paper cites Triangle Counting with Local Edge Differential Privacy.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Triangle Counting with Local Edge Differential Privacy
Reference 18
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-06T19:10:19.499020Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 8f48af87-0abb-448e-be46-a2d04dc9ef41 · outbound
This paper cites Amplification by shuffling: From local to central differential privacy via anonymity.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Amplification by shuffling: From local to central differential privacy via anonymity
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:20.087089Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f503929c-9bef-4f7e-b747-6d78ad1701a3 · outbound
This paper cites Hiding among the clones: A simple and nearly opti- mal analysis of privacy amplification by shuffling.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Hiding among the clones: A simple and nearly opti- mal analysis of privacy amplification by shuffling
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:20.073022Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 694d0db7-53a5-48e0-a61f-32de447359c9 · outbound
This paper cites Counting stars and other small subgraphs in sublinear-time.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Counting stars and other small subgraphs in sublinear-time
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:20.058631Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 99b33cdb-e87f-430f-883c-01873b9cd1a2 · outbound
This paper cites Lo- cally differentially private analysis of graph statistics.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Lo- cally differentially private analysis of graph statistics
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:20.044242Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 4a5f2439-5a13-4031-9190-8d40c9101a2a · outbound
This paper cites 983–1000.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix 983–1000
Reference 23
- Resolution
- parse uncertain
- raw_fallback, observed 2026-08-06T19:10:20.029539Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ff886fb2-f81b-4f72-b29f-1338bd6227a1 · outbound
This paper cites {Communication-Efficient} triangle counting under lo- cal differential privacy.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix {Communication-Efficient} triangle counting under lo- cal differential privacy
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:20.014678Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 23544088-ed96-43fc-8652-6cf50f6b092c · outbound
This paper cites Dif- ferentially private triangle and 4-cycle counting in the shuffle model.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Dif- ferentially private triangle and 4-cycle counting in the shuffle model
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:19.999228Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 32081c39-8b29-459b-8217-7bfe3a66e6e2 · outbound
This paper cites Publishing graphs under node differential privacy.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Publishing graphs under node differential privacy
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:19.984583Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 6be7b2ab-bddc-4b9b-b5df-f2a6c90649d0 · outbound
This paper cites Dis- crete distribution estimation under local privacy.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Dis- crete distribution estimation under local privacy
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:19.969612Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ccb3dc0b-ec93-4cae-b997-792f2df31be7 · outbound
This paper cites The complexity of counting cycles in the adjacency list streaming model.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix The complexity of counting cycles in the adjacency list streaming model
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:19.953606Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f56d67e3-c056-4ec1-b3d1-2bf2919bc6c3 · outbound
This paper cites P., AND KIM, S.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix P., AND KIM, S
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:19.939948Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 203eb358-9b48-4c42-8acc-f7a829a9a922 · outbound
This paper cites P., N ISSIM , K., R ASKHOD - NIKOVA , S., AND SMITH , A.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix P., N ISSIM , K., R ASKHOD - NIKOVA , S., AND SMITH , A
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:19.925989Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 51c10957-205a-4d42-9874-71aa93a0793a · outbound
This paper cites N., M ILLER , G.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix N., M ILLER , G
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:19.911711Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation c081d573-4561-486a-9adc-6af8980784a6 · outbound
This paper cites Powers of tensors and fast matrix multi- plication.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Powers of tensors and fast matrix multi- plication
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:19.898125Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 4c947629-9f3f-45b5-816c-47ee24407003 · outbound
This paper cites Graph evolution: Densification and shrinking diameters.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Graph evolution: Densification and shrinking diameters
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:19.883109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 7b5584b4-38e4-446f-a7c6-ab2c6867d678 · outbound
This paper cites SNAP Datasets: Stan- ford large network dataset collection.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix SNAP Datasets: Stan- ford large network dataset collection
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:19.869359Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation bbec5c9f-d738-41b7-baa6-f7dcf48c2e34 · outbound
This paper cites Learning to dis- cover social circles in ego networks.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Learning to dis- cover social circles in ego networks
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:19.855831Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f333449b-6d89-4d6c-a644-90990efe0c87 · outbound
This paper cites Collecting triangle counts with edge relationship local differential privacy.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Collecting triangle counts with edge relationship local differential privacy
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:19.842786Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation b1a0ba05-c842-4d13-8af5-c9cde42ad36f · outbound
This paper cites Approximate counting of cycles in streams.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Approximate counting of cycles in streams
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:19.829456Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation b9fafa62-d4a4-4347-bcc4-db9951067767 · outbound
This paper cites Triangle and four cycle counting in the data stream model.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Triangle and four cycle counting in the data stream model
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:19.814418Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 3d51a4a6-9aab-49ef-9c10-ad0b50c7dbdf · outbound
This paper cites an unresolved cited work.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Unresolved cited work
Reference 39
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T19:10:19.799970Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 4669150d-7bb3-4a90-a26c-9b1fdda29ef0 · outbound
This paper cites The number of data breaches in 2021 has already surpassed last year’s total, 2021.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix The number of data breaches in 2021 has already surpassed last year’s total, 2021
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:19.785819Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 3fbbd61c-2f8c-4836-ab26-3cb612521674 · outbound
This paper cites {Utility- optimized} local differential privacy mechanisms for distribution estimation.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix {Utility- optimized} local differential privacy mechanisms for distribution estimation
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:19.771703Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation c0b7364a-df6e-4da4-ba27-f9e313e64a7d · outbound
This paper cites Local and Central Differential Privacy for Robustness and Privacy in Federated Learning.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Local and Central Differential Privacy for Robustness and Privacy in Federated Learning
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:10:19.361450Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 328bcf86-0609-44b9-9cd7-0bd90a607604 · outbound
This paper cites Faster approximate subgraph counts with privacy.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Faster approximate subgraph counts with privacy
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:19.757193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 57f4f3c8-f326-4e56-ad63-96aadd61fb21 · outbound
This paper cites Smooth sensitivity and sampling in private data anal- ysis.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Smooth sensitivity and sampling in private data anal- ysis
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:19.743335Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a08866ad-84a4-4d1d-a632-4e390e21be04 · outbound
This paper cites Triangle listing al- gorithms: Back from the diversion.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Triangle listing al- gorithms: Back from the diversion
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:19.729057Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 6c4bb8f1-c1fd-40db-bb31-3bc8ca951185 · outbound
This paper cites Generating synthetic decentralized social graphs with local differential privacy.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Generating synthetic decentralized social graphs with local differential privacy
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:19.715666Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f40d30c0-c343-4556-b5ba-0beade384baf · outbound
This paper cites Differentially private analysis of graphs.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Differentially private analysis of graphs
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:19.702229Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation c09d4228-c67a-4154-ac3d-b881b0b749e1 · outbound
This paper cites E., A PARICIO , D., AND SILVA, F.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix E., A PARICIO , D., AND SILVA, F
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:19.688384Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation eaed251d-cc55-4bf0-85fe-f05ee9bf0fda · outbound
This paper cites an unresolved cited work.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Unresolved cited work
Reference 49
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T19:10:19.675401Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 90d6962a-ecbc-4e0f-a275-d15310d3f239 · outbound
This paper cites an unresolved cited work.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Unresolved cited work
Reference 50
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T19:10:19.662401Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 93560de0-9265-44fa-933c-0b8890d13ef8 · outbound
This paper cites an unresolved cited work.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Unresolved cited work
Reference 51
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T19:10:19.648515Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 998eb9f8-a44f-4ce2-ba34-60d695b98cdc · outbound
This paper cites Gaussian elimination is not optimal.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Gaussian elimination is not optimal
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:19.634649Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation b813027a-08fc-4f1a-9055-4cee7e04a4cd · outbound
This paper cites E., K ANG , U., M ILLER , G.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix E., K ANG , U., M ILLER , G
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:19.620585Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 0e3dc45c-bbc8-4be6-a6d6-4389f92a7b2d · outbound
This paper cites an unresolved cited work.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Unresolved cited work
Reference 54
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T19:10:19.606270Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 8a3326c0-ccab-420a-b5c9-33672648f4d3 · outbound
This paper cites Locally differentially private protocols for frequency estimation.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Locally differentially private protocols for frequency estimation
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:19.591873Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 15337bc7-64bb-437a-b393-c6e51ce897eb · outbound
This paper cites Edge-based differential privacy comput- ing for sensor–cloud systems.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Edge-based differential privacy comput- ing for sensor–cloud systems
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:19.576605Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 94be922f-2957-47a0-800f-4378c96cd8c0 · outbound
This paper cites Using randomized response for differential privacy preserving data col- lection.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Using randomized response for differential privacy preserving data col- lection
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:19.561086Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e5bb9d94-9ae0-47cd-b792-fbb2cbb02e07 · outbound
This paper cites an unresolved cited work.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Unresolved cited work
Reference 58
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T19:10:19.544694Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 036f43fd-06ee-45a5-9ae9-9d6c6210d063 · outbound
This paper cites an unresolved cited work.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Unresolved cited work
Reference 59
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T19:10:19.529390Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation b1de0fd1-621c-43a3-b99d-03a22ee73e83 · outbound
This paper cites n1 ∏ i=1 Zki αi #2 + E.
Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix n1 ∏ i=1 Zki αi #2 + E
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:10:19.514574Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Pith citing papers
No inbound Pith citation observations are available.