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Paper Citation Record · LEDGER

Against Membership Inference Attack: Pruning is All You Need

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2008.13578.

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

pith.paper-citation-record.v1
2008.13578 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:36:02.756042Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T17:56:23.501308Z

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 f2efd7d8-da14-46b3-9d02-44bf1daca7d5 · inbound

SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation cites this paper.

SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation Against Membership Inference Attack: Pruning is All You Need

Reference 119

Resolution
verified exact
arxiv_id, observed 2026-05-16T17:56:23.503462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-16T17:56:23.281678Z digest=sha256:4a1c9ce9007b774e86a76d59272e216b52471d3983e411c81c47b746f0b4022b

Observation 3f23e4e8-17c7-4552-9be5-bd1707ea35e5 · inbound

A Survey of Secure Semantic Communications cites this paper.

A Survey of Secure Semantic Communications Against Membership Inference Attack: Pruning is All You Need

Reference 242

Resolution
unresolved
no resolver link, observed 2026-08-10T22:44:12.344212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:44:12.344212Z digest=sha256:01a861c9bacce15ce6bc8492bb57ae07395896f721d64bf85b7efc854d9ea2a3

Observation 7cf6df2a-6b76-4e5a-9287-3ce212bd2d35 · inbound

SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation cites this paper.

SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation Against Membership Inference Attack: Pruning is All You Need

Reference 117

Resolution
unresolved
no resolver link, observed 2026-08-06T23:12:17.226207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:12:17.226207Z digest=sha256:6c43088849038b150e63d7db090d1dd8a7ed40ece1986dd727e31636285b52dc

Observation 179033cd-ffc0-44db-a7a7-d36a67837577 · inbound

MOON: Multi-Objective OrthoNormalized Updates for Multitask Learning cites this paper.

MOON: Multi-Objective OrthoNormalized Updates for Multitask Learning Against Membership Inference Attack: Pruning is All You Need

Reference 233

Resolution
unresolved
no resolver link, observed 2026-08-16T00:36:02.756042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:36:02.756042Z digest=sha256:4cd0f2f169931230e2af25e1baadce3a9191c70a86cc0471c5087b6a73fbbc72