Paper Citation Record · LEDGER

Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2201.12675.

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

pith.paper-citation-record.v1
2201.12675 v2

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 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:26:16.944574Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:46:58.696227Z

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 30a01f22-48cb-4220-990d-0a0abce1721a · inbound

Hidden Data Privacy Breaches in Federated Learning cites this paper.

Hidden Data Privacy Breaches in Federated Learning Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T11:26:16.944574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cef1805b-0d5b-4bb2-a517-29f4eaacd852 · inbound

Gradient Inversion Attack on Graph Neural Networks cites this paper.

Gradient Inversion Attack on Graph Neural Networks Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-12T10:17:09.869504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4932bbee-445d-48b2-b382-9ef18b42167a · inbound

Trustformer: A Trusted Federated Transformer cites this paper.

Trustformer: A Trusted Federated Transformer Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T18:03:48.524541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1023ee12-800f-4ae7-9faa-c626f6fbba35 · inbound

AnalogFed: Privacy-Preserving Discovery of Analog Circuits at Scale with Federated Generative AI cites this paper.

AnalogFed: Privacy-Preserving Discovery of Analog Circuits at Scale with Federated Generative AI Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:46:58.844725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.