Paper Citation Record · LEDGER

Nimbus: Secure and Efficient Two-Party Inference for Transformers

As of 24 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 5 inbound Pith citation observations for arXiv:2411.15707.

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

pith.paper-citation-record.v1
2411.15707 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:05:16.710343Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:49:38.646055Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T17:36:06.599002Z

Reference resolution

58 of 58 outbound references displayed

verified exact0
verified fuzzy38
unresolved19
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cc68e925-15d9-45b0-aee2-c1dd1aeb6c0e · outbound

This paper cites Privformer: Privacy- preserving transformer with mpc.

Nimbus: Secure and Efficient Two-Party Inference for Transformers Privformer: Privacy- preserving transformer with mpc

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:18.459403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1efb9382-533e-4f76-9869-5d55c9bc4cdf · outbound

This paper cites Low latency privacy preserving inference.

Nimbus: Secure and Efficient Two-Party Inference for Transformers Low latency privacy preserving inference

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:18.426843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5412d033-805a-4d5d-af0a-4dc121605582 · outbound

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

Nimbus: Secure and Efficient Two-Party Inference for Transformers THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:16.283494Z

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Observation 65f667d9-0e96-4cb6-a7f5-c9559d8b006d · outbound

This paper cites Opengpt-2: Open language models and implications of generated text.

Nimbus: Secure and Efficient Two-Party Inference for Transformers Opengpt-2: Open language models and implications of generated text

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:18.407007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6eb8a2b0-8c05-4cf3-a4d1-cebae419fea3 · outbound

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

Nimbus: Secure and Efficient Two-Party Inference for Transformers Puma: Secure inference of llama-7b in five minutes

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:16.300085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f35778ee-4b5a-480d-82d2-de462547c201 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Nimbus: Secure and Efficient Two-Party Inference for Transformers An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:16.307072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 186b834e-ff14-423c-8803-9750204c64ea · outbound

This paper cites Fully homomorphic encryption using ideal lattices.

Nimbus: Secure and Efficient Two-Party Inference for Transformers Fully homomorphic encryption using ideal lattices

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:18.385645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b4806180-71be-4f36-8762-76deecd60a4b · outbound

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

Nimbus: Secure and Efficient Two-Party Inference for Transformers Cryptonets: Applying neural networks to encrypted data with high throughput and accuracy

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:16.320853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation baae0f86-68ed-457a-bb74-9b7a8d6a91b5 · outbound

This paper cites Transkimmer: Transformer learns to layer-wise skim.

Nimbus: Secure and Efficient Two-Party Inference for Transformers Transkimmer: Transformer learns to layer-wise skim

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:18.339747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 368bb624-ac9c-44f4-b21b-936c9a9b2c94 · outbound

This paper cites Block-skim: Efficient question answering for transformer.

Nimbus: Secure and Efficient Two-Party Inference for Transformers Block-skim: Efficient question answering for transformer

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:18.310891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 61264468-574f-4915-95e9-f7d8442f6400 · outbound

This paper cites Olive: Accelerating large language models via hardware-friendly outlier-victim pair quantization.

Nimbus: Secure and Efficient Two-Party Inference for Transformers Olive: Accelerating large language models via hardware-friendly outlier-victim pair quantization

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:18.285505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ee2ed04d-1b11-4dd2-8af4-179d541fc6b0 · outbound

This paper cites Ant: Exploiting adaptive numerical data type for low-bit deep neural network quantization.

Nimbus: Secure and Efficient Two-Party Inference for Transformers Ant: Exploiting adaptive numerical data type for low-bit deep neural network quantization

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:18.253030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5eeca0a5-a0ce-4682-8a1d-ec1791527cf7 · outbound

This paper cites Sigma: secure gpt inference with function secret sharing.Cryptology ePrint Archive, 2023.

Nimbus: Secure and Efficient Two-Party Inference for Transformers Sigma: secure gpt inference with function secret sharing.Cryptology ePrint Archive, 2023

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:18.224389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cebe6ca6-1005-4559-8cde-93b17c826282 · outbound

This paper cites Iron: Private inference on transformers.

Nimbus: Secure and Efficient Two-Party Inference for Transformers Iron: Private inference on transformers

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:18.200995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9b81a3bd-8356-482f-9e4e-7aae9f73c797 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Nimbus: Secure and Efficient Two-Party Inference for Transformers Gaussian Error Linear Units (GELUs)

Reference 15

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Source-reported events for the cited work

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Observation 0835efe1-7e5e-43c2-9596-97e99eb890bc · outbound

This paper cites Ciphergpt: Secure two-party gpt inference.

Nimbus: Secure and Efficient Two-Party Inference for Transformers Ciphergpt: Secure two-party gpt inference

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4dc1524a-4040-488d-9bb2-c5e2a120c60d · outbound

This paper cites Cheetah: Lean and fast secure {two-party} deep neural network inference.

Nimbus: Secure and Efficient Two-Party Inference for Transformers Cheetah: Lean and fast secure {two-party} deep neural network inference

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:18.161194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3c75f755-2412-48af-bae3-f64616bec677 · outbound

This paper cites {GAZELLE}: A low latency framework for secure neural network inference.

Nimbus: Secure and Efficient Two-Party Inference for Transformers {GAZELLE}: A low latency framework for secure neural network inference

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:18.132488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0a837291-4bf6-4bac-9f25-7bd5a7a6f83c · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

Nimbus: Secure and Efficient Two-Party Inference for Transformers Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 19

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Source-reported events for the cited work

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Observation b9afce6b-d5e1-4ee0-897f-60f085ea179e · outbound

This paper cites Crypten: Secure multi-party computation meets machine learning.

Nimbus: Secure and Efficient Two-Party Inference for Transformers Crypten: Secure multi-party computation meets machine learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:16.433602Z

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Unavailable: canonical work link unavailable.

Observation 0f9fe714-7eaf-49b2-86a4-72f8aa63e4d1 · outbound

This paper cites ChatGPT: A Meta-Analysis after 2.5 Months.

Nimbus: Secure and Efficient Two-Party Inference for Transformers ChatGPT: A Meta-Analysis after 2.5 Months

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:16.442471Z

Source-reported events for the cited work

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Observation b6de9d2e-47f1-4a96-87a5-5e64c794bf5a · outbound

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

Nimbus: Secure and Efficient Two-Party Inference for Transformers MPCFormer: fast, performant and private Transformer inference with MPC

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:16.451218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92df1472-afda-43cc-bf88-3b54e12cb08d · outbound

This paper cites Oblivious neural network predictions via minionn transformations.

Nimbus: Secure and Efficient Two-Party Inference for Transformers Oblivious neural network predictions via minionn transformations

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:18.062840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 849af0dd-02da-4f13-a38f-2a1d114570a6 · outbound

This paper cites Deja vu: Contextual sparsity for efficient llms at inference time.

Nimbus: Secure and Efficient Two-Party Inference for Transformers Deja vu: Contextual sparsity for efficient llms at inference time

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:16.466974Z

Source-reported events for the cited work

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Observation b2f2ac10-af17-4ae2-a8d2-e52cca5a82f8 · outbound

This paper cites Faster secure multiparty computation of adaptive gradient descent.

Nimbus: Secure and Efficient Two-Party Inference for Transformers Faster secure multiparty computation of adaptive gradient descent

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:18.009467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 25a3c988-c618-4c1b-a957-5d03d4d81e27 · outbound

This paper cites Bumblebee: Secure two-party inference framework for large transformers.

Nimbus: Secure and Efficient Two-Party Inference for Transformers Bumblebee: Secure two-party inference framework for large transformers

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:17.979566Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 28d8273d-ff7e-45a0-8018-11e0d798af3c · outbound

This paper cites On ideal lattices and learning with errors over rings.

Nimbus: Secure and Efficient Two-Party Inference for Transformers On ideal lattices and learning with errors over rings

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:17.953806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2bb93180-b0b8-41b1-8cf8-db8fc8d47e04 · outbound

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

Nimbus: Secure and Efficient Two-Party Inference for Transformers {SecretFlow-SPU}: A performant and {User- Friendly} framework for {Privacy-Preserving} machine learning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:17.932973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation de311772-910c-4489-ba08-7a65b9a17974 · outbound

This paper cites Bolt: Privacy- preserving, accurate and efficient inference for transformers.

Nimbus: Secure and Efficient Two-Party Inference for Transformers Bolt: Privacy- preserving, accurate and efficient inference for transformers

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:17.913148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b006c80c-f9e9-4cda-b330-b8289a097772 · outbound

This paper cites The fast fourier transform in a finite field.

Nimbus: Secure and Efficient Two-Party Inference for Transformers The fast fourier transform in a finite field

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:17.887557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8151ed58-52ee-402c-9adb-1c1a01b20a85 · outbound

This paper cites Sirnn: A math library for secure rnn inference.

Nimbus: Secure and Efficient Two-Party Inference for Transformers Sirnn: A math library for secure rnn inference

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:17.862629Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation eeacb8e0-dd4a-4ece-b68c-d8de0e0747f2 · outbound

This paper cites Cryptflow2: Practical 2-party secure inference.

Nimbus: Secure and Efficient Two-Party Inference for Transformers Cryptflow2: Practical 2-party secure inference

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:17.832683Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5b3b53e8-52c0-45a0-86bb-1f4ea465a227 · outbound

This paper cites an unresolved cited work.

Nimbus: Secure and Efficient Two-Party Inference for Transformers Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:05:17.810723Z

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Observation 282ce181-c686-4e72-81b2-172f716b52e7 · outbound

This paper cites Delphi: A cryptographic inference service for neural networks.

Nimbus: Secure and Efficient Two-Party Inference for Transformers Delphi: A cryptographic inference service for neural networks

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:17.779689Z

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Observation 422f0663-52a7-4b07-8927-5afeb0ea5d59 · outbound

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

Nimbus: Secure and Efficient Two-Party Inference for Transformers LLaMA: Open and Efficient Foundation Language Models

Reference 35

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Observation 77d63106-fa15-4104-a0fd-1018b3dbc8f5 · outbound

This paper cites Attention is all you need.

Nimbus: Secure and Efficient Two-Party Inference for Transformers Attention is all you need

Reference 36

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Observation fa089b2e-df01-4b0c-b1ad-d61c49c09af1 · outbound

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

Nimbus: Secure and Efficient Two-Party Inference for Transformers GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Reference 37

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Observation 6e5d926b-a4e8-4fee-89a1-257c4c6c4527 · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

Nimbus: Secure and Efficient Two-Party Inference for Transformers HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 38

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Source-reported events for the cited work

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Observation 5870d854-cbac-433d-a69e-a49abf3f3e14 · outbound

This paper cites Ditto: Quantization-aware secure inference of transformers upon mpc, 2024.

Nimbus: Secure and Efficient Two-Party Inference for Transformers Ditto: Quantization-aware secure inference of transformers upon mpc, 2024

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:17.741264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4aba7c2e-8c5a-4fb5-94d6-58267112e680 · outbound

This paper cites Smoothquant: Accurate and efficient post-training quantization for large language models.

Nimbus: Secure and Efficient Two-Party Inference for Transformers Smoothquant: Accurate and efficient post-training quantization for large language models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:16.574981Z

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Observation c6a0014a-37c5-43de-b8cb-f0b954f7afa3 · outbound

This paper cites Ferret: Fast extension for correlated ot with small communication.

Nimbus: Secure and Efficient Two-Party Inference for Transformers Ferret: Fast extension for correlated ot with small communication

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:17.526654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d87d64e3-dad4-43c9-82d1-198d52f48c2c · outbound

This paper cites Mpcvit: Searching for accurate and efficient mpc-friendly vision transformer with heterogeneous attention.

Nimbus: Secure and Efficient Two-Party Inference for Transformers Mpcvit: Searching for accurate and efficient mpc-friendly vision transformer with heterogeneous attention

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:17.496534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8e38875d-954c-4ad1-8136-7cf166915287 · outbound

This paper cites Cerebro: a platform for {Multi-Party} cryptographic collaborative learning.

Nimbus: Secure and Efficient Two-Party Inference for Transformers Cerebro: a platform for {Multi-Party} cryptographic collaborative learning

Reference 43

Resolution: malformed identifier; raw_fallback, observed 2026-08-12T14:05:17.472246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7bb6d510-46a0-42ed-853d-cd9c6cc198fb · outbound

This paper cites • The abstract and/or introduction should clearly state the claims made, including the contributions made in the paper and important assumptions and limitations.

Nimbus: Secure and Efficient Two-Party Inference for Transformers • The abstract and/or introduction should clearly state the claims made, including the contributions made in the paper and important assumptions and limitations

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:17.443500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a157a702-ed0c-4406-9770-056f5cc54c84 · outbound

This paper cites Limitations.

Nimbus: Secure and Efficient Two-Party Inference for Transformers Limitations

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:17.423540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e434657d-7ff6-4696-8a48-86de49bcbdae · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include theoretical results.

Nimbus: Secure and Efficient Two-Party Inference for Transformers Guidelines: • The answer NA means that the paper does not include theoretical results

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:17.392702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6b5b386b-388d-4eb1-ae46-0314c69961f2 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include experiments.

Nimbus: Secure and Efficient Two-Party Inference for Transformers Guidelines: • The answer NA means that the paper does not include experiments

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:17.359735Z

Source-reported events for the cited work

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Observation 0fb66a0a-4ca4-453a-a904-57c1ee9c248c · outbound

This paper cites Guidelines: • The answer NA means that paper does not include experiments requiring code.

Nimbus: Secure and Efficient Two-Party Inference for Transformers Guidelines: • The answer NA means that paper does not include experiments requiring code

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:17.334571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 099903dd-1fc3-40a8-955e-7c26530bd3eb · outbound

This paper cites But still, we follow the standard method of prior work as we have mentioned in the Section 5.

Nimbus: Secure and Efficient Two-Party Inference for Transformers But still, we follow the standard method of prior work as we have mentioned in the Section 5

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:17.311859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ce36e3d2-ff1b-45bd-8958-6fc8411e9fed · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include experiments.

Nimbus: Secure and Efficient Two-Party Inference for Transformers Guidelines: • The answer NA means that the paper does not include experiments

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:17.282758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 19127eff-4076-4034-b95d-cc0335c674a1 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include experiments.

Nimbus: Secure and Efficient Two-Party Inference for Transformers Guidelines: • The answer NA means that the paper does not include experiments

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:17.259615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 67c87058-9303-4847-be46-5cb810d1e932 · outbound

This paper cites Guidelines: • The answer NA means that the authors have not reviewed the NeurIPS Code of Ethics.

Nimbus: Secure and Efficient Two-Party Inference for Transformers Guidelines: • The answer NA means that the authors have not reviewed the NeurIPS Code of Ethics

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:16.663823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06a8a334-8efe-48b9-be1c-2b1b40af1ada · outbound

This paper cites Guidelines: • The answer NA means that there is no societal impact of the work performed.

Nimbus: Secure and Efficient Two-Party Inference for Transformers Guidelines: • The answer NA means that there is no societal impact of the work performed

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:17.221023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 24374060-a882-416e-a47e-84ac7b75aa74 · outbound

This paper cites Guidelines: • The answer NA means that the paper poses no such risks.

Nimbus: Secure and Efficient Two-Party Inference for Transformers Guidelines: • The answer NA means that the paper poses no such risks

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:17.191085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3799cc5c-8c72-4077-b3de-35268f983799 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not use existing assets.

Nimbus: Secure and Efficient Two-Party Inference for Transformers Guidelines: • The answer NA means that the paper does not use existing assets

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:17.170393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5f396247-70bd-4e98-ac04-3531a09f19b0 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not release new assets.

Nimbus: Secure and Efficient Two-Party Inference for Transformers Guidelines: • The answer NA means that the paper does not release new assets

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:17.149241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation caf27040-025d-4cb4-b89f-a1835b8e33c9 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects.

Nimbus: Secure and Efficient Two-Party Inference for Transformers Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:16.702840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de5ca3d3-31da-45e8-af56-abc745968aba · outbound

This paper cites Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects.

Nimbus: Secure and Efficient Two-Party Inference for Transformers Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:17.111793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation 84465efc-a6db-495a-954f-0dfa1e786497 · inbound

CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference cites this paper.

CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference Nimbus: Secure and Efficient Two-Party Inference for Transformers

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T15:49:38.646055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c7df084-7362-4596-abb7-4583d980545b · inbound

An Efficient Private GPT Never Autoregressively Decodes cites this paper.

An Efficient Private GPT Never Autoregressively Decodes Nimbus: Secure and Efficient Two-Party Inference for Transformers

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T15:32:16.991061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3e2e271-3360-47be-86b0-cda2b71c51cc · inbound

An Attack to Break Permutation-Based Private Third-Party Inference Schemes for LLMs cites this paper.

An Attack to Break Permutation-Based Private Third-Party Inference Schemes for LLMs Nimbus: Secure and Efficient Two-Party Inference for Transformers

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T14:38:38.487443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9aa2a1ba-c5b5-4f3d-883b-56de2de01ccb · inbound

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

Cascade: Token-Sharded Private LLM Inference Nimbus: Secure and Efficient Two-Party Inference for Transformers

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T19:45:52.624823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0db833e7-a08b-43e1-8b51-31f3bef33a44 · inbound

On the (In-)Security of the Shuffling Defense in the Transformer Secure Inference cites this paper.

On the (In-)Security of the Shuffling Defense in the Transformer Secure Inference Nimbus: Secure and Efficient Two-Party Inference for Transformers

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:36:06.601164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.