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Paper Citation Record · LEDGER

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

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:37:05.372349Z

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 204f739e-c93f-4ba5-b6ab-875bc3868df0 · inbound

Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions cites this paper.

Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions A Theoretical Insight into Attack and Defense of Gradient Leakage in Transformer

Reference 258

Resolution
unresolved
no resolver link, observed 2026-08-10T21:37:05.372349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:37:05.372349Z digest=sha256:dc245bb82c1c98f8bc8820171740704113fc7d3a7dcf158d196f38cd0956c89a

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=sha256:779f4837bc27bc25e9e84ecfcc4e1ded981f59151889c855d68af684090cb996

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=sha256:8d49b1f778cf41395b84230fb11817549624917ee91069fb0fe7982f4a83302f

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T22:23:09.395783Z digest=sha256:f189be76359370fc9683388ac34e07224c29c1f5461500be9d0d8de9842191f2

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=sha256:58c405874349949934801a2b5ca56473055f179aa66a463dcd19244ffcaf0e46