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Paper Citation Record · LEDGER

HeLayers: A Tile Tensors Framework for Large Neural Networks on Encrypted Data

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2011.01805.

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

pith.paper-citation-record.v1
2011.01805 v3

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 2026-08-06T06:34:29.942622+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:28:49.094747Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:58:12.062686Z

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 5925ef21-83e1-42f4-8804-49f93704123a · inbound

HE-LRM: Encrypted Deep Learning Recommendation Models using Fully Homomorphic Encryption cites this paper.

HE-LRM: Encrypted Deep Learning Recommendation Models using Fully Homomorphic Encryption HeLayers: A Tile Tensors Framework for Large Neural Networks on Encrypted Data

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T23:28:49.094747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:28:49.094747Z digest=sha256:29b1dd5b9247611bde7de3d949e12d05a4fe86f156f7f180e91912d04006c88f

Observation 218e4465-499d-4ac5-b0f3-468a5b34896f · inbound

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning cites this paper.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning HeLayers: A Tile Tensors Framework for Large Neural Networks on Encrypted Data

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T19:25:28.099630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:25:28.099630Z digest=sha256:09b7769f876626368478802bc517d5bd104becc9d785a8ec395a6ecfe1dec614

Observation fb075a56-211d-4c93-8069-60bb7e2dc24c · 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 HeLayers: A Tile Tensors Framework for Large Neural Networks on Encrypted Data

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:58:12.066361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T15:58:03.044723Z digest=sha256:b49c4b8aafda38450b9fcfbaf768f0c88dd0a210b1a6ab802f2074cd5f4d85fa