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Paper Citation Record · LEDGER

SAPAG: A Self-Adaptive Privacy Attack From Gradients

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2009.06228.

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

pith.paper-citation-record.v1
2009.06228 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:06:28.160205Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T07:24:06.136530Z

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 996855bb-1c30-401e-b36e-5a6c571f3009 · inbound

Approximate and Weighted Data Reconstruction Attack in Federated Learning cites this paper.

Approximate and Weighted Data Reconstruction Attack in Federated Learning SAPAG: A Self-Adaptive Privacy Attack From Gradients

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-24T07:24:06.139092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-24T07:20:31.753349Z digest=sha256:54d9a5d0ca91919b6ee6942d0f18763398f5ab488824f02b45cf6546a5e8a645

Observation 66a3d0db-911c-40e5-a9e9-ebb9ecdc70fa · inbound

Gradient Inversion Transcript: Leveraging Robust Generative Priors to Reconstruct Training Data from Gradient Leakage cites this paper.

Gradient Inversion Transcript: Leveraging Robust Generative Priors to Reconstruct Training Data from Gradient Leakage SAPAG: A Self-Adaptive Privacy Attack From Gradients

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T14:06:28.160205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:06:28.160205Z digest=sha256:4ea0329af3310b60a29909a1d0b36d623505576b22f66e1bde8b245701e6024f

Observation e2da10a3-25cc-4ad7-a24b-1c009faec132 · inbound

Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning cites this paper.

Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning SAPAG: A Self-Adaptive Privacy Attack From Gradients

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-04T19:43:59.544537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:43:59.544537Z digest=sha256:75585c160acaf597329699a58e540b1dce10dd3228a21f1c8b78e4d83419e47f