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Paper Citation Record · LEDGER

On Polynomial Approximations for Privacy-Preserving and Verifiable ReLU Networks

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2011.05530.

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

pith.paper-citation-record.v1
2011.05530 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:56:01.420217Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T13:32:18.937615Z

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 0f20f754-484f-47d4-a1f6-13d7373b3c7c · inbound

Robust and Secure Code Watermarking for Large Language Models via ML/Crypto Codesign cites this paper.

Robust and Secure Code Watermarking for Large Language Models via ML/Crypto Codesign On Polynomial Approximations for Privacy-Preserving and Verifiable ReLU Networks

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-08-09T13:32:18.943796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-09T13:32:18.608576Z digest=sha256:27f867725502c8e6ab1c522d51cb9fc2e3030297c1e3c235c47eabde5a6fb2d0

Observation 6d70c6ef-0e97-4b08-bd7c-dfb0fa1c215f · inbound

A Training Framework for Optimal and Stable Training of Polynomial Neural Networks cites this paper.

A Training Framework for Optimal and Stable Training of Polynomial Neural Networks On Polynomial Approximations for Privacy-Preserving and Verifiable ReLU Networks

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T20:56:01.420217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:56:01.420217Z digest=sha256:a9dd7cc19bddc71ab5aee668dd4d28829d40cedd40151e2630fad0d82ae90945

Observation 1cae2627-9ae1-40e8-88fd-30402401c2a2 · inbound

ReBoot: Encrypted Training of Deep Neural Networks with CKKS Bootstrapping cites this paper.

ReBoot: Encrypted Training of Deep Neural Networks with CKKS Bootstrapping On Polynomial Approximations for Privacy-Preserving and Verifiable ReLU Networks

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T18:32:23.731262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:32:23.731262Z digest=sha256:8dfc49971949539a4ee5e4bc23ec2f18b0a4753662e8a4837ceea5200f175c70