Paper Citation Record · LEDGER

TruncFormer: Private LLM Inference Using Only Truncations

As of 14 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 1 inbound Pith citation observation for arXiv:2412.01042.

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

pith.paper-citation-record.v1
2412.01042 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:50:27.765372Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T20:29:01.127039Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

22 of 22 outbound references displayed

verified exact0
verified fuzzy3
unresolved19
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 8d365b0b-8b75-4b8d-b137-3e868b900a72 · outbound

This paper cites Program Synthesis with Large Language Models.

TruncFormer: Private LLM Inference Using Only Truncations Program Synthesis with Large Language Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T04:50:27.699928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7eae6579-31ed-4b61-bf45-5bc2047534f0 · outbound

This paper cites PriViT: Vision Transformers for Fast Private Inference.

TruncFormer: Private LLM Inference Using Only Truncations PriViT: Vision Transformers for Fast Private Inference

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T04:50:27.707694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae916d68-52f3-4fef-be72-5d98618d4ebd · outbound

This paper cites Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference.

TruncFormer: Private LLM Inference Using Only Truncations Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T04:50:27.720334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03899982-d972-45a4-b567-c892210b3fca · outbound

This paper cites MPCFormer: fast, performant and private Transformer inference with MPC.

TruncFormer: Private LLM Inference Using Only Truncations MPCFormer: fast, performant and private Transformer inference with MPC

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T04:50:27.723503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ada9046-8b94-47b2-813f-f8218b2e9b8e · outbound

This paper cites Oblivious neu- ral network predictions via minionn transformations.

TruncFormer: Private LLM Inference Using Only Truncations Oblivious neu- ral network predictions via minionn transformations

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:50:27.989788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d54d8253-253c-4c32-b169-399d70340c11 · outbound

This paper cites SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC.

TruncFormer: Private LLM Inference Using Only Truncations SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T04:50:27.728953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac97d28d-70ca-4d96-ba1d-dc677e1272fa · outbound

This paper cites Pointer Sentinel Mixture Models.

TruncFormer: Private LLM Inference Using Only Truncations Pointer Sentinel Mixture Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T04:50:27.735611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00d1fffd-4d81-4557-858d-c38e61c8bbba · outbound

This paper cites GLU Variants Improve Transformer.

TruncFormer: Private LLM Inference Using Only Truncations GLU Variants Improve Transformer

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T04:50:27.741137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 468e60f5-7c33-4425-a11a-32e05388bcec · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

TruncFormer: Private LLM Inference Using Only Truncations Gemma: Open Models Based on Gemini Research and Technology

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T04:50:27.744036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7003c7f3-4a71-4af0-accd-eb3056349884 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

TruncFormer: Private LLM Inference Using Only Truncations LLaMA: Open and Efficient Foundation Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T04:50:27.746887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a32b569-1c66-41b1-98e4-4052ed6e3321 · outbound

This paper cites Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering.

TruncFormer: Private LLM Inference Using Only Truncations Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T04:50:27.749713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3d4e4f6-9869-4770-8e83-518919e1b702 · outbound

This paper cites MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision Transformer with Heterogeneous Attention.

TruncFormer: Private LLM Inference Using Only Truncations MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision Transformer with Heterogeneous Attention

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T04:50:27.758608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cdb8c5b-a48c-440a-877a-0055bf4d58bf · outbound

This paper cites Primer: Fast private transformer inference on encrypted data.

TruncFormer: Private LLM Inference Using Only Truncations Primer: Fast private transformer inference on encrypted data

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:50:27.952783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 240d1e14-83eb-48f1-bacc-e576bc7900a6 · outbound

This paper cites BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions.

TruncFormer: Private LLM Inference Using Only Truncations BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T04:50:27.765372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 229001b6-4e37-4c3b-a3ce-4073c0f4f037 · outbound

This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.

TruncFormer: Private LLM Inference Using Only Truncations HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-12T04:50:27.755741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68429423-3944-4efe-9218-efd7b9e27a9d · outbound

This paper cites an unresolved cited work.

TruncFormer: Private LLM Inference Using Only Truncations Unresolved cited work

Reference 2016

Resolution: unresolved; raw_fallback, observed 2026-08-12T04:50:27.970979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3ed1a4e3-5809-449e-9bba-2c420b446cb5 · outbound

This paper cites an unresolved cited work.

TruncFormer: Private LLM Inference Using Only Truncations Unresolved cited work

Reference 2019

Resolution: unresolved; raw_fallback, observed 2026-08-12T04:50:27.961618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c6001197-0b24-497e-b226-391daf75ea35 · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

TruncFormer: Private LLM Inference Using Only Truncations Measuring Mathematical Problem Solving With the MATH Dataset

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-12T04:50:27.716953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e60cf81-f2ca-4eb9-bafa-29364d92e9cd · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

TruncFormer: Private LLM Inference Using Only Truncations Training Verifiers to Solve Math Word Problems

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-12T04:50:27.703455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b27e77a1-fe97-4a19-8cdd-2ec0af1d75d3 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

TruncFormer: Private LLM Inference Using Only Truncations Measuring Massive Multitask Language Understanding

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-12T04:50:27.713976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3db1b9a0-fa46-4a7f-9a38-5695ad72d6df · outbound

This paper cites Puma: Se- cure inference of llama-7b in five minutes.

TruncFormer: Private LLM Inference Using Only Truncations Puma: Se- cure inference of llama-7b in five minutes

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-12T04:50:27.711161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60255f98-bc64-40f9-bd88-0aa5d06773f0 · outbound

This paper cites {SecretFlow- SPU}: A performant and {User-Friendly} framework for {Privacy-Preserving} machine learning.

TruncFormer: Private LLM Inference Using Only Truncations {SecretFlow- SPU}: A performant and {User-Friendly} framework for {Privacy-Preserving} machine learning

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:50:27.981278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation 8746602c-22cf-464c-b2f6-efc8fd553aed · 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 TruncFormer: Private LLM Inference Using Only Truncations

Reference 129

Resolution: verified exact; local_arxiv, observed 2026-08-03T20:33:29.555670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.