Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.00793.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:45:52.780241Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T09:25:40.710854Z
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 6f533b07-21f1-48e6-99ca-82dc5c6509c7 · inbound
Cascade: Token-Sharded Private LLM Inference cites this paper.
Cascade: Token-Sharded Private LLM Inference SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:45:52.780241Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e837a07a-4cb1-4f98-a365-1e665f219c9c · 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 SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC
Reference 74
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T20:28:55.293300Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a0180658-a72c-4e11-8129-4935025df530 · inbound
Probing Memorization of Tabular In-Context Learning cites this paper.
Probing Memorization of Tabular In-Context Learning SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC
Reference 59
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T09:25:40.713455Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.