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Paper Citation Record · LEDGER

Generative Adversarial Networks Unlearning

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2308.09881.

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

pith.paper-citation-record.v1
2308.09881 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-10T15:38:58.361411Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T15:47:23.231226Z

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 92c7a51d-9b0a-4c25-b00d-e5d3f85e5adb · inbound

Jellyfish: Zero-Shot Federated Unlearning Scheme with Knowledge Disentanglement cites this paper.

Jellyfish: Zero-Shot Federated Unlearning Scheme with Knowledge Disentanglement Generative Adversarial Networks Unlearning

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:28:02.234324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T17:26:20.023039Z digest=sha256:dc099d38a1df3b030884dd301ba5d8aefbe135f1e29829f029502fe310d14983

Observation 3d5b52e7-8558-43a6-856a-d25ee213a34d · inbound

Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks cites this paper.

Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks Generative Adversarial Networks Unlearning

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-07-10T15:47:23.232385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-07-10T15:38:58.361411Z digest=sha256:8899abdc68b3c23f8207660eb1aaf7abe4a8ba88688f32ff6d325749da03f276