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Paper Citation Record · LEDGER

Tempo: Confidentiality Preservation in Cloud-Based Neural Network Training

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.11531.

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

pith.paper-citation-record.v1
2401.11531 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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:23:50.120004Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T20:23:51.848891Z

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 3ca2b918-7420-4143-9636-eaa7358b9cd7 · inbound

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators cites this paper.

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators Tempo: Confidentiality Preservation in Cloud-Based Neural Network Training

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:23:51.885552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T20:23:50.120004Z digest=sha256:b1daee705ec4125dbe604c3dd91208ad694843fec9cf40a35a31209750bafc7a

Observation 9f1625d1-e926-400b-8ab3-a9bee3407804 · inbound

Towards Confidential and Efficient LLM Inference with Dual Privacy Protection cites this paper.

Towards Confidential and Efficient LLM Inference with Dual Privacy Protection Tempo: Confidentiality Preservation in Cloud-Based Neural Network Training

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-04T19:46:46.435329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:46:46.435329Z digest=sha256:c8415eb7adda5d87457be38a9d568be57cbb7c675621a55233738d8d966285b1