Pith. sign in

Paper Citation Record · LEDGER

Power-Softmax: Towards Secure LLM Inference over Encrypted Data

As of 4 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 3 inbound Pith citation observations for arXiv:2410.09457.

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

pith.paper-citation-record.v1
2410.09457 v2

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-23T18:46:54.778974Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T11:38:48.846818Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T19:30:07.628677Z

Reference resolution

45 of 45 outbound references displayed

  • verified exact21
  • verified fuzzy19
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e32a1fcf-4158-457d-9c08-c81cd4fffe43 · outbound

This paper cites HElayers: A tile tensors framework for large neural networks on encrypted data.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data HElayers: A tile tensors framework for large neural networks on encrypted data

Reference 1

Resolution
verified exact
doi, observed 2026-05-23T18:48:19.445169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:09cb04ce024e4592e78eda395dc34937c43230588263230ef2e66dd6c372eb60

Observation cbd7c0c1-1393-4dd3-ae86-71da382ec9ab · outbound

This paper cites On the privacy of protocols based on cpa-secure homomorphic encryption.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data On the privacy of protocols based on cpa-secure homomorphic encryption

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:28:26.258397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:d1721539725a5ab3604142f04f6961f661609c917e72d6857ecee18f112fc2d3

Observation 1be5e58d-beeb-4704-a8be-01896f1111e5 · outbound

This paper cites Gpt-neox: Large scale autoregressive language modeling in pytorch, 9 2023.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data Gpt-neox: Large scale autoregressive language modeling in pytorch, 9 2023

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:28:26.287853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:c05998ecc9eae2de10eebd4403eef6d86746d88e0619b084ca8ae63856260031

Observation 56a3a3a5-b8b3-4501-ae1d-dc1dba6968b7 · outbound

This paper cites AutoFHE : Automated adaption of CNNs for efficient evaluation over FHE.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data AutoFHE : Automated adaption of CNNs for efficient evaluation over FHE

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T07:46:05.423963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:00173eba0d4279fd1803b7f735a00664a63dd6ecb7d587a4ce1c650be77b67cc

Observation 166adb83-81a2-459c-89fe-42f61cff2fca · outbound

This paper cites A Methodology for Training Homomorphic Encryption Friendly Neural Networks.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data A Methodology for Training Homomorphic Encryption Friendly Neural Networks

Reference 5

Resolution
verified exact
doi, observed 2026-05-23T18:48:19.449342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:f185d0e47ac110418b6aa339b65dade7d8c633b297ae14b8b39e46e6e0e1d677

Observation 190306c3-1ae4-4322-84f6-254acb9d9f74 · outbound

This paper cites Training Large Scale Polynomial CNNs for E2E Inference over Homomorphic Encryption.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data Training Large Scale Polynomial CNNs for E2E Inference over Homomorphic Encryption

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-23T18:48:20.279784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:4021460b5dff7069513e1fb48290a149438c721a500de856f940963eb9f253d0

Observation fc1f7960-387f-4e17-9b5d-21d0cc6ff01e · outbound

This paper cites Pythia : A suite for analyzing large language models across training and scaling.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data Pythia : A suite for analyzing large language models across training and scaling

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:28:26.265119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:762c7dcbb335d71fa731c1750452eacb7d02894120b73d6022fb922e250cfad3

Observation 49537791-481b-48bf-b3cd-5ca862c794c8 · outbound

This paper cites (Leveled) Fully Homomorphic Encryption without Bootstrapping.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data (Leveled) Fully Homomorphic Encryption without Bootstrapping

Reference 8

Resolution
verified exact
doi, observed 2026-05-23T18:48:19.466897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:19a42946b0acfd6e60deff0472ecee870d1e9f120c2180325c6c14fcbd08eb62

Observation b1b252ca-f16d-49a4-a916-3f05259f93dc · outbound

This paper cites THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-23T18:48:20.273782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:71bcea929c675a775107096f11f8928989617cfa635b4decbda3bed8b940427e

Observation 3a1c295d-f6d9-4e35-8d3b-0939c717a1b0 · outbound

This paper cites Homomorphic encryption for arithmetic of approximate numbers.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data Homomorphic encryption for arithmetic of approximate numbers

Reference 10

Resolution
verified exact
doi, observed 2026-05-23T18:48:19.409958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:9760e07f5818634c11b37eb36ba0de7770f95c084be5bef2a79d42f9e313bd28

Observation 13a5c354-bd69-41dc-b8de-b7f6b960124d · outbound

This paper cites P-nets: Deep polynomial neural networks.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data P-nets: Deep polynomial neural networks

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:28:26.261750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:54fcca752f7b32a8ba83ef9db7c7ac21ebf00eeea87b22558abf982bed4af047

Observation ac6600e7-f29d-4daf-bf07-256d71955cfe · outbound

This paper cites East: Efficient and Accurate Secure Transformer Framework for Inference.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data East: Efficient and Accurate Secure Transformer Framework for Inference

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-23T18:48:20.310523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:809abe7086c1541a36c40720a24654d27454e1a91e112da4f24932c1c570886a

Observation 1ffa5e97-4cde-4262-884d-effaa567932c · outbound

This paper cites Efficient skip connections realization for secure inference on encrypted data.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data Efficient skip connections realization for secure inference on encrypted data

Reference 13

Resolution
verified exact
doi, observed 2026-05-23T18:48:19.423596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:4cc00e651bbccc20d6cca453ae1ff930055e0dae4cf6974bca5835d1d1259b37

Observation be048f5e-57eb-470b-810a-c22d2db2e886 · outbound

This paper cites Somewhat Practical Fully Homomorphic Encryption.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data Somewhat Practical Fully Homomorphic Encryption

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:28:26.307108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:ac809c51a85e468d24544d87d8374faf4a09ba97f97a5c4a9bba241a50935c6e

Observation 8b916aee-5ac6-4ebc-b167-e0fd32c3bc62 · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-05-23T18:48:20.297343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:ecc2d3b1b978ec7a357cfc91bea5bfe418f8991f0fa7ff849ad001540379bbac

Observation 35f15c42-66f3-44ba-959e-55bf3eb1fd7d · outbound

This paper cites A fully homomorphic encryption scheme.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data A fully homomorphic encryption scheme

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:28:26.338121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:85acfd2a7bb9bb38cacaf1bf494765da584bac55f1601a0479e39fa2c502f200

Observation cc441605-16df-4d79-b2df-5920ae5dcc08 · outbound

This paper cites Cryptonets: Applying neural networks to encrypted data with high throughput and accuracy.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data Cryptonets: Applying neural networks to encrypted data with high throughput and accuracy

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:28:26.334287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:8e0555959e2b949b67bc2f1004cd9e6eb9bdd920ff88b63c1256b75f5bc9fa26

Observation 8aeabb14-84b9-464f-88d3-dd14dd62ff87 · outbound

This paper cites Openwebtext corpus.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data Openwebtext corpus

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T07:46:05.416045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:24f3e3cc79f91898278bcd3ce461f853ae76d19c5b71e6076e01d223aec6ce30

Observation ac4fc503-02d7-4611-8f7d-a4c4ab394dd0 · outbound

This paper cites Applications of division by convergence.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data Applications of division by convergence

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:28:26.300458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:f2fbaec24cf7e6067efb2bad2e786bf143ed7152fbad2bad53f50df72983f257

Observation 5df9f3ab-29e0-4318-8f9b-64efdb5763e0 · outbound

This paper cites Polynomial activation functions.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data Polynomial activation functions

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:28:26.313216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:12f4dac5e29875e176bd78fa84f3ffe0ff2cad10fa2dfa13d15fc446544acf0a

Observation e8ce126f-5090-4bc0-9273-5deb13214e50 · outbound

This paper cites Bayesian neural networks uncertainty quantification with cubature rules.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data Bayesian neural networks uncertainty quantification with cubature rules

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-05-23T18:48:19.417461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:0c48acec95731ac94bcac45a0b71078b21ccdd3c6b1bc84203d2925da6d80ff0

Observation 65500de6-04ec-4b3f-9931-516ae6d7188b · outbound

This paper cites SIGMA : Secure GPT inference with function secret sharing.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data SIGMA : Secure GPT inference with function secret sharing

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:28:26.323003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:ad003a290e24183985094dc061efe0ee4876d8d3d19d879a015f818468d75c82

Observation 746b0a7b-3043-4b23-9297-7d51bdd67db6 · outbound

This paper cites NeuJeans: Private Neural Network Inference with Joint Optimization of Convolution and FHE Bootstrapping.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data NeuJeans: Private Neural Network Inference with Joint Optimization of Convolution and FHE Bootstrapping

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-23T18:48:20.341112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:197d24307448625223970c58d2c486e159b0d3dc59c9b3463c150cc315bf4129

Observation 43c545a0-1881-45f0-9fc2-2e04528d1528 · outbound

This paper cites Low-complexity deep convolutional neural networks on fully homomorphic encryption using multiplexed parallel convolutions.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data Low-complexity deep convolutional neural networks on fully homomorphic encryption using multiplexed parallel convolutions

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:28:26.327062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:91621ebbb9667b7709263d6e5959c68a26fef8e135173d32eb1408ef25fbfe15

Observation e41b1690-fabc-494e-87fd-79f41ed991ce · outbound

This paper cites Precise Approximation of Convolutional Neural Networks for Homomorphically Encrypted Data.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data Precise Approximation of Convolutional Neural Networks for Homomorphically Encrypted Data

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-23T18:48:20.335776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:1cf178f1309440f67841a9c106d262f3d08329f699db1a0d7f2444bc43b36dbc

Observation 61a5a14d-a379-4154-8b19-a2af2d3c7e87 · outbound

This paper cites Optimized layerwise approximation for efficient private inference on fully homomorphic encryption.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data Optimized layerwise approximation for efficient private inference on fully homomorphic encryption

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-23T18:48:20.316688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:65920866df2a760ebcc91ba11b0d83b5ac9ff3bc05ba7fbf66cfaae5d31ae1c3

Observation ceee5066-4dc9-4d65-b620-bb0dbd5a31f4 · outbound

This paper cites MERGE : Fast private text generation.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data MERGE : Fast private text generation

Reference 27

Resolution
verified exact
doi, observed 2026-05-23T18:48:19.455737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:aaefda53103307717ad4d68609bfa0fd4db25d9c2755ee9ba752136d732111bf

Observation 87ecf7a0-7cae-47c9-9bbb-e977a5dba6e2 · outbound

This paper cites LLMs Can Understand Encrypted Prompt: Towards Privacy-Computing Friendly Transformers.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data LLMs Can Understand Encrypted Prompt: Towards Privacy-Computing Friendly Transformers

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-23T18:48:20.325451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:54e438529d11c3aa7501dac989b84f78f66d4639bca99182e0790ef70f6d7444

Observation 362e3951-9a8e-48e6-91b1-20f1f8593f70 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-05-23T18:48:20.268069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:4cdeabe2b4e533e35b5503ae92a106ae0c17d2b807393c872beec8cef21ca2b6

Observation 4638ef28-4364-4600-8455-ec0203b91a8a · outbound

This paper cites Financial news classification dataset.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data Financial news classification dataset

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:28:26.284123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:8f40f9b4dd0fd944b422fbfc2b120a7960d73ed566fa94f3b2d25018483de62c

Observation 7b6c7835-9935-4f22-84b7-70b9be4fe584 · outbound

This paper cites fairseq: A fast, extensible toolkit for sequence modeling.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data fairseq: A fast, extensible toolkit for sequence modeling

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:28:26.294849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:9badf01a691e75c3d7642132ac4acf290f6107af98245e1fcdc5a41be3b328cd

Observation aa02b02d-4624-4935-9e12-a9a7ae6514ee · outbound

This paper cites Attention Is All You Need.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data Attention Is All You Need

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-05-23T18:48:20.330334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:021ee636b8016fc1bc3eaa19d689bdb3dfd1c6707580f7e53bea1e6e42817997

Observation f6063eb9-660e-4cfa-9998-20dbb1dc797e · outbound

This paper cites Analyzing the structure of attention in a transformer language model.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data Analyzing the structure of attention in a transformer language model

Reference 33

Resolution
verified exact
doi, observed 2026-05-23T18:48:19.428597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:f28283eeee88de2e262865024631fc7ddc9a4cdec4bf7649b5593a7b2cc57563

Observation 975e048e-6ac1-4325-8e0b-0baf754dff07 · outbound

This paper cites GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-05-23T18:48:20.284881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:3c7a8554515821d43f3a04427e237ac98f9e34d680b87a7261d82049beebd575

Observation 4417f7df-e4c1-4270-bd63-ac19c45ce9b0 · outbound

This paper cites On Protecting the Data Privacy of Large Language Models (LLMs): A Survey.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data On Protecting the Data Privacy of Large Language Models (LLMs): A Survey

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-23T18:48:20.262430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:6130c1bbbd9e049e9075472f9eddfbbc006fb89caeaf489742ddcbb069dccac5

Observation 6df805a0-523c-4ad2-baad-bf2646cef941 · outbound

This paper cites Energy -Aware Proof-of-Authority: Blockchain Consensus for Clustered Wireless Sensor Network.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data Energy -Aware Proof-of-Authority: Blockchain Consensus for Clustered Wireless Sensor Network

Reference 36

Resolution
metadata mismatch
arxiv_id, observed 2026-05-23T18:48:19.474007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:c74651fa8bde0093e91c7b49689dcd34ee5610763f5525603ab85874b62d6b48

Observation af28243b-b029-4762-b043-3fe2f4c1750b · outbound

This paper cites Neural Networks with (Low-Precision) Polynomial Approximations: New Insights and Techniques for Accuracy Improvement.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data Neural Networks with (Low-Precision) Polynomial Approximations: New Insights and Techniques for Accuracy Improvement

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-23T18:48:20.256833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:94817a6174fc85df42376d037e1b352aa0554ce2ebd00668c7308a4c26321078

Observation fa326743-b741-493b-8575-3d4b33fc9100 · outbound

This paper cites Secure transformer inference made non-interactive.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data Secure transformer inference made non-interactive

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:28:26.272431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:a7999d2b25112c0857523e6f4584a5a10a1cc6a172cb8c81502977f7b88769d0

Observation 754a2c82-d6dd-4486-9649-3c781f308799 · outbound

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

Power-Softmax: Towards Secure LLM Inference over Encrypted Data Primer: Fast private transformer inference on encrypted data

Reference 39

Resolution
metadata mismatch
arxiv_id, observed 2026-05-23T18:48:19.438865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:17ae4f8763475dfb911299c786642bc50b973a072717c98eff520abe0571541d

Observation fdb66201-2466-4f7f-9438-5f51786b0006 · outbound

This paper cites Polynomial activation neural networks: Modeling, stability analysis and coverage bp-training.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data Polynomial activation neural networks: Modeling, stability analysis and coverage bp-training

Reference 40

Resolution
verified exact
doi, observed 2026-05-23T18:48:19.479475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:d9dcaa27e6e3bf652810d20e558cf0c47a5a4789150547e02fffe5762c7d0579

Observation 29beb3d7-ce4e-4128-bc02-14c1bd0ad61b · outbound

This paper cites Converting transformers to polynomial form for secure inference over homomorphic encryption.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data Converting transformers to polynomial form for secure inference over homomorphic encryption

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:28:26.330651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:7e55281e7ae7efaa09edabbe16c14934339fc5668abbe8b04e1f3f3581d44ef3

Observation 27966717-c386-44bd-99f9-661b2d44b26d · outbound

This paper cites write newline.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data write newline

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:28:26.276276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:1845dd043801b35c9c088623029f2a8bf9805fe7ae4346726f7a85fb85153b63

Observation a1c38f2a-7613-48aa-8a01-587c471abc7a · outbound

This paper cites @esa (Ref.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data @esa (Ref

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:28:26.280468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:d289986b79c036551026343dd07ee9f72d946cab245287eedb3cd071b302f8d7

Observation 8631747a-ca04-4c85-a001-77283afdf7ee · outbound

This paper cites an unresolved cited work.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:28:26.268910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:1060b92703174a3278c155c01d29946f4dbc17c716d741134962f9fb57c015b3

Observation e98e2964-0354-49cb-b3c9-6e6057eaa51d · outbound

This paper cites an unresolved cited work.

Power-Softmax: Towards Secure LLM Inference over Encrypted Data Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-05-24T07:46:05.419845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:bf99a55be8fb7ea12b729268f0f2f168a78c82731aaa118787ffd5ff142a29be

Pith citing papers

Observation 3b93877c-3093-429d-896d-02586813534c · inbound

General Techniques for Reducing Key-Switching Overhead in Privacy-Preserving Two-Party Transformer Inference cites this paper.

General Techniques for Reducing Key-Switching Overhead in Privacy-Preserving Two-Party Transformer Inference Power-Softmax: Towards Secure LLM Inference over Encrypted Data

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-07-04T19:30:07.629937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-25T21:17:19.995668Z digest=sha256:4b652a52b5d08f797002b0eead8132e7d79981fd85cac5ed67ed89e1103820f2

Observation d4cb14f7-6fcd-4a37-b19d-e3bb1e92e2c7 · inbound

General Techniques for Reducing Key-Switching Overhead in Privacy-Preserving Two-Party Transformer Inference cites this paper.

General Techniques for Reducing Key-Switching Overhead in Privacy-Preserving Two-Party Transformer Inference Power-Softmax: Towards Secure LLM Inference over Encrypted Data

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-03T02:11:04.005972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T02:11:04.005972Z digest=sha256:ffab8851f44db75e417b21f678c66539a1d6eeeb41b55340ec285411bba200cd

Observation 47aa6c0e-6b73-4894-86ca-109ff325d6ca · inbound

MOSAIC: Masked Outsourcing of Secure AI Computations cites this paper.

MOSAIC: Masked Outsourcing of Secure AI Computations Power-Softmax: Towards Secure LLM Inference over Encrypted Data

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-03T11:38:48.846818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:38:48.846818Z digest=sha256:dabc4c8c493ab2f80d114559f7ed3fc68de6cca8f8ba7e8348876b16605a5625