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Paper Citation Record · LEDGER

Power-Softmax: Towards Secure LLM Inference over Encrypted Data

As of 6 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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:6113ca47cfc1835e6c257951eed1e3fe1d6160a27287af26245d460708497e95

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:8f644137363bd5a3b726b107047b2a7709543429d7a56f985c173438236bfaf4

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:bffba254415896510bc44b2a301ef28b3ecd90bffd909814ed89601a26998e5c

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:9cbe69a2a6ae91f80d29873acd6efcc2565b5ce4e92317baa1025dd093cda7b9

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:5478f11f5fdc4b1470888d859b0f13f207980ff03cd357d493bab422148fe41b

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:9cff604b717f02061a79aa49742b76fe456836f91dce91fd499e6627ee55b4b0

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:b137236a7eb0013a08e206c92d863f932f4cbf77929e4f9e5c37f0a6ddbb90e3

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:ce5d493872d6c9bbcb4e98f1a662e36f2921704c0e7e9816a7647ef820320c5a

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:8f41fbf145f3ef4fcebd013a1de8c37acccdb0e0a4b14ce63e27f7c772abdf65

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:1990834f6a86d8db0cdfa88e82b1478bb89983f96a2b8f9f9f4fa2a6fb1af2a4

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:19635dd1c827ea59da8b7b92dd9505b279bd8d0a7e466a8a4ac9eedb3597efd5

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:6ddc48362e5d6dbafed8f88317e0ae7aaef97f4621cd1bb043fac32b413b8d02

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:b070882a7f399eb1ebf6f984394b1728b0d4bbbb78565d24e804d606ac52b865

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:623bb427ce8370ac6b194f4221abac69abe700a319d742c5fdaa4034bf905291

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:834b63aef72d91c5e81b56817e6f15c2df66ce7d82a3726272225334acbc7c8b

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:35f1bc4800cd4278cc80f7dafdda51dafc1fc2a5feff7d046fd87291c3c55eaa

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:206a979d62bf11785cfcbd2d50033c6a33686a01d25ab5db292423d97827649c

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:4e3d1dd6d45d27047594230d207566887734cca12770f92647b8f96d754ed6d2

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:82e938d1c9bf62bb96821a957920a4309862f2caae037f9d9636034685a36672

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:b599baddcbcd18c52ef42510def7e78ffa9079be168c461bb521da2092a3df3a

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:f83e7c0afdcb7b292d96efbbbf0854853c0056013b0e1d6eab102e9e3139e00c

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:65367fac6bfeea10a81c841593de53d29202c2ac9d758c7322adad94d2fcc2f8

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:b0297f71c2153532a4d1274ebf4a33b504df0bfadea9f87f51080515bb0167be

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:21c500a786a9c839396e809c27c73425557d3c5876d87aba9b79cc31e4447960

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:8bbd2d167cb48d7605e2de3ce830c4f435abdeb08215b5e5b9ab22d78631c090

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:23a7e6240cb1c68b589c7701312c043e80005afbcacd382911a80b1c774ded10

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:7e2d4c0fe6016b7688eb24b6bbd2d3759a28c955adada88ed0ecd70951642284

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:32d5bcd014a014e50b5f77ec3399be6360b3ddf8c018a26b3f95c8f2d6ad44e3

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:4b6bfcffcce6732fd683b35ad7e9281571f08d2d960f35041d60b10b69845c37

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:8ac065eac706670d4d2469afebd9af7a5b2a6be74e1b111466f3206294dabe99

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:0178188c42270c6eb08b48417dabc7256aae177e4b48f8ca41c3208b40d6e9eb

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:2987bf354bd93de645d839c60f5f1a5c767a05bf659c33103b7d36e6c5289046

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:0c1cef617f4fef772536234ab98947aacc3c71ba642b170b475c4c5b2fe6c754

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:b3139e7cec5c3d1e41ab0f33aed59ce4f690dac4388318d6d994243b078453f6

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:921fe5a48a8c20f4f3fe6d378e83af8454118825822f6de090f7c15b88d4f4d3

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:e626f357a600bf5adde6d132b28b54dc15d426139f5f6ee33d20f30414605999

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:2afa8d547f8130d7570b394da438734a9360c9491295938e6dd46c500a410adc

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:5627964cd57a7257b7b84b9417130ab2f3a7b7b098c53c4eac13dad5b07a0bed

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:f114e48ae295995d7d4296d2fc206c18cb96aa0bfd7d5f53d2635a4ad81e6c35

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:135dad422e716e54d3053cdbc15452bd5c81a15896dbe2e0153480970d4c7a87

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:d167ea084b5cebb076540eb954fb8c592496c3a67505480c38aa85a6343c0434

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:92746dc70b07d738be43f6c2d4734413de9e2a52a2a7f3936ec7eee0995c8663

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:013c38d4fc32a3744e25c3b7fddd537a14b8dae45d7194a831890fe902b873ff

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:bf6cc0b0baf8d8025e221b0f1591000df1a2d00f1ffee2b4133e21d37f5b948f

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T18:46:54.778974Z digest=sha256:9261af2fdb845340b54d2433657d8628d68206b4b53c608bd87e585ecffe6709

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-25T21:17:19.995668Z digest=sha256:c8ba5b3af702438ae5e5fbefc7298c400950369839d8782abb36c99bb50c7a76

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=sha256:0ed9be6e7811c1e19b689298691f2264ef34d86cf5726b78a4705c430dc3b284

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=sha256:78460877f90b16e03f0e2ca404e77d64b2880e6f571516653adc025e9150d910