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Paper Citation Record · LEDGER

Is Private Learning Possible with Instance Encoding?

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2011.05315.

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

pith.paper-citation-record.v1
2011.05315 v2

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:13:13.094993Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:13:27.365923Z

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 e3395c8d-6d3b-471e-b2d4-dc4415e83ca6 · inbound

Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track cites this paper.

Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track Is Private Learning Possible with Instance Encoding?

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:13:27.425360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T23:13:13.094993Z digest=sha256:96a5b8c54163ea29c835d9518ac14c77483ecbdcc87c67f891604421dc952ceb

Observation c1f0258b-3155-4bdb-bb0f-0594af7b01fc · inbound

CrypTorch: PyTorch-based Auto-tuning Compiler for Machine Learning with Multi-party Computation cites this paper.

CrypTorch: PyTorch-based Auto-tuning Compiler for Machine Learning with Multi-party Computation Is Private Learning Possible with Instance Encoding?

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-03T20:28:51.064352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:28:51.064352Z digest=sha256:03cf417292595404b988ebd1000396c54ec0b89f4a9a3d14b02827f1f7d1041d