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Paper Citation Record · LEDGER

DeepSecure: Scalable Provably-Secure Deep Learning

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1705.08963.

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

pith.paper-citation-record.v1
1705.08963 v1

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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:12:33.498669Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 56f7e9bb-ca2e-4a1a-ac5d-76b5a7231792 · inbound

A Novel Privacy-Preserving Deep Learning Scheme without Using Cryptography Component cites this paper.

A Novel Privacy-Preserving Deep Learning Scheme without Using Cryptography Component DeepSecure: Scalable Provably-Secure Deep Learning

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-14T12:12:33.498669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:12:33.498669Z digest=sha256:674da1d467d94599420f62ac283b8a16b06c3a853a1abb17fa699006cc5e68ae

Observation 29d97215-d074-4182-bdd1-2cb35ac2681e · inbound

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading cites this paper.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading DeepSecure: Scalable Provably-Secure Deep Learning

Reference 185

Resolution
verified exact
arxiv_id, observed 2026-07-04T21:58:15.387102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:d297884af62625ca22a920f661f534448e7bd1cf2bfdf51d1ff5fa5f8d0a7392