Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Degree-Preserving Randomized Response for Graph Neural Networks under Local Differential Privacy
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2202.10209.
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, observed 2026-08-06T22:56:15.904949Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T03:56:44.319473Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation b0ee3a3a-ad16-44bc-9917-7567f7a4d171 · inbound
Practical and Accurate Local Edge Differentially Private Graph Algorithms cites this paper.
Practical and Accurate Local Edge Differentially Private Graph Algorithms Degree-Preserving Randomized Response for Graph Neural Networks under Local Differential Privacy
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:56:15.904949Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5d778a4f-dfa8-4c3f-bb6c-d9022d58e92b · inbound
Beyond Homophily: Towards Generalized Graph Reconstruction Attack and Defense cites this paper.
Beyond Homophily: Towards Generalized Graph Reconstruction Attack and Defense Degree-Preserving Randomized Response for Graph Neural Networks under Local Differential Privacy
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T20:57:23.440333Z
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 5235a1e2-a3f4-46bd-84b0-c357c0a103fe · inbound
EdgeRefine: Privacy-Utility Balance for Graphs via Jaccard Sampling under Edge Differential Privacy cites this paper.
EdgeRefine: Privacy-Utility Balance for Graphs via Jaccard Sampling under Edge Differential Privacy Degree-Preserving Randomized Response for Graph Neural Networks under Local Differential Privacy
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T03:56:44.320798Z
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 c8a184f9-3f74-41ac-904e-293bfc6f7ec1 · inbound
EdgeRefine: Privacy-Utility Balance for Graphs via Jaccard Sampling under Edge Differential Privacy cites this paper.
EdgeRefine: Privacy-Utility Balance for Graphs via Jaccard Sampling under Edge Differential Privacy Degree-Preserving Randomized Response for Graph Neural Networks under Local Differential Privacy
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T07:53:53.308053Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.