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Paper Citation Record · LEDGER

PrivCirNet: Efficient Private Inference via Block Circulant Transformation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.14569.

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

pith.paper-citation-record.v1
2405.14569 v3

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:32:19.466145Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:58:11.081148Z

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 10994473-3e09-478a-aa80-c3a9100fb463 · inbound

An Efficient Private GPT Never Autoregressively Decodes cites this paper.

An Efficient Private GPT Never Autoregressively Decodes PrivCirNet: Efficient Private Inference via Block Circulant Transformation

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T15:32:19.466145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:32:19.466145Z digest=sha256:adc912764d887f482f74fe583460de29624cdc603915d62c1832a50431378f9a

Observation eea1c3d7-3cf4-49c5-8132-b3d6f765febf · inbound

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives cites this paper.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives PrivCirNet: Efficient Private Inference via Block Circulant Transformation

Reference 186

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:58:11.084540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:58:10.832863Z digest=sha256:8a9853f13b4f174804aa3cd56b2d14b5a21d7847164dcd403a6ba76fa0c91fc7