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Paper Citation Record · LEDGER

A Theoretical Insight into Attack and Defense of Gradient Leakage in Transformer

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2311.13624.

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

pith.paper-citation-record.v1
2311.13624 v1

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 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:51:12.584992Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T22:23:16.057090Z

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 b5716e0b-f2e2-4132-b004-b96a53659e80 · inbound

Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation cites this paper.

Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation A Theoretical Insight into Attack and Defense of Gradient Leakage in Transformer

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-09T18:51:12.584992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:51:12.584992Z digest=sha256:c57f35aced576394efcade10929629e850478935a6fa5ffc624d53d6b9fe3eb6

Observation 3d54ee97-8d13-4b2e-86df-9874747309ee · inbound

Large Language Model Adversarial Landscape Through the Lens of Attack Objectives cites this paper.

Large Language Model Adversarial Landscape Through the Lens of Attack Objectives A Theoretical Insight into Attack and Defense of Gradient Leakage in Transformer

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-09T10:29:50.014690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T10:29:50.014690Z digest=sha256:ec24a63f0047589a8f3249b60ae7692c7fbe0445c55982edc1c0c71275c3bf4a

Observation 49a2934e-3e88-4691-af76-f080bb4b94aa · inbound

A Survey on Model Extraction Attacks and Defenses for Large Language Models cites this paper.

A Survey on Model Extraction Attacks and Defenses for Large Language Models A Theoretical Insight into Attack and Defense of Gradient Leakage in Transformer

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:23:16.180666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:23:09.395783Z digest=sha256:5610f9022c1411379f63248ed9495304214100114830b28491ca9b5649f3e43e

Observation 5d5870c9-e8e6-4206-b80a-cf7f6ae01992 · inbound

A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives cites this paper.

A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives A Theoretical Insight into Attack and Defense of Gradient Leakage in Transformer

Reference 111

Resolution
unresolved
no resolver link, observed 2026-08-05T18:12:37.371410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:12:37.371410Z digest=sha256:554411baf322cd429d27435e5eae8030f6ec11bfa090aea8303855bbb70f2da0