Paper Citation Record · LEDGER

MPCFormer: fast, performant and private Transformer inference with MPC

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2211.01452.

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

pith.paper-citation-record.v1
2211.01452 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:45:52.563883Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T08:31:23.562381Z

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 7a8c0ff3-1848-4c12-9286-fd96b0caccfd · inbound

Cascade: Token-Sharded Private LLM Inference cites this paper.

Cascade: Token-Sharded Private LLM Inference MPCFormer: fast, performant and private Transformer inference with MPC

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T19:45:52.563883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aac236bd-6d95-4c3a-becd-8f97ff298512 · 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 MPCFormer: fast, performant and private Transformer inference with MPC

Reference 120

Resolution: unresolved; no resolver link, observed 2026-08-06T15:58:10.641121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85a25878-fbb3-4353-9b54-ce684605e0fc · inbound

Private, Verifiable, and Auditable AI Systems cites this paper.

Private, Verifiable, and Auditable AI Systems MPCFormer: fast, performant and private Transformer inference with MPC

Reference 173

Resolution: unresolved; no resolver link, observed 2026-08-05T15:43:59.242966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4db7aec7-2cac-44ba-9294-ad844ded8af0 · inbound

ENSI: Efficient Non-Interactive Secure Inference for Large Language Models cites this paper.

ENSI: Efficient Non-Interactive Secure Inference for Large Language Models MPCFormer: fast, performant and private Transformer inference with MPC

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T19:10:41.631377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4114bdd1-78c0-4110-8f86-dc6881ec25ba · 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 MPCFormer: fast, performant and private Transformer inference with MPC

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-03T20:28:54.436112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c59399b-5674-4049-8641-094dbd901de7 · inbound

Private Vertical Federated Inference for Time-Series cites this paper.

Private Vertical Federated Inference for Time-Series MPCFormer: fast, performant and private Transformer inference with MPC

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:31:23.568240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 56e56f34-9318-487e-a7bc-45d5bf9fcedb · inbound

Token Economics for LLM Agents: A Dual-View Study from Computing and Economics cites this paper.

Token Economics for LLM Agents: A Dual-View Study from Computing and Economics MPCFormer: fast, performant and private Transformer inference with MPC

Reference 148

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:31:27.367636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.