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Paper Citation Record · LEDGER

MPCFormer: fast, performant and private Transformer inference with MPC

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:58:10.641121Z

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 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.

source=pdf_text observed=2026-08-06T15:58:10.641121Z digest=sha256:fd39a26eb641d07b0093ac537e081f1fb6b42d671c36ace419c941f4dece5ac8

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.

source=pdf_text observed=2026-08-05T15:43:59.242966Z digest=sha256:86d012cef098c9d9ef8314148e6cd0828dcc73502006d35ebb4d430a932beb9f

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.

source=pdf_text observed=2026-08-04T19:10:41.631377Z digest=sha256:23464b71e3c339c7eb42b8e9e101bc29b3f88b06b2b8580b3ac1c182445d5e21

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.

source=pdf_text observed=2026-08-03T20:28:54.436112Z digest=sha256:cbd17745d36a34f1e0cbb3ffbc860de683fc939d9a722a20cc3302d59be3d694

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

source=pdf_text observed=2026-05-12T01:06:52.078378Z digest=sha256:66a00280e6d61cfe7defdbbe40fe7d8890d973f0cf082a194be33c6e82a2411e

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

source=pdf_text observed=2026-05-12T02:34:34.546971Z digest=sha256:0dfc928ca278eebc831bbd297af9ca8d4ee67661a41228f7ee3053f6193edc54