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Paper Citation Record · LEDGER

Towards Anonymous Neural Network Inference

As of 20 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2505.18398.

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

pith.paper-citation-record.v1
2505.18398 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:35:48.608040Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

36 of 36 outbound references displayed

  • verified exact1
  • verified fuzzy26
  • unresolved7
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 941a8ba1-c19b-4ac1-90bb-d8038245dc2c · outbound

This paper cites Zero-knowledge proofs of training for deep neural networks.

Towards Anonymous Neural Network Inference Zero-knowledge proofs of training for deep neural networks

Reference 1

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation dd309125-17e7-40c8-8acc-1a861762dbe2 · outbound

This paper cites Bender, Timnit Gebru, Angelina McMillan- Major, and Shmargaret Shmitchell.

Towards Anonymous Neural Network Inference Bender, Timnit Gebru, Angelina McMillan- Major, and Shmargaret Shmitchell

Reference 2

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Observation 8312ed70-a5a5-46cf-850d-0bea8ed90edb · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Towards Anonymous Neural Network Inference On the Opportunities and Risks of Foundation Models

Reference 3

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Observation 877c2dc0-aca2-4a74-a2d0-c2e1ff156c22 · outbound

This paper cites Remote Timing Attacks on Efficient Language Model Inference.

Towards Anonymous Neural Network Inference Remote Timing Attacks on Efficient Language Model Inference

Reference 4

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source=pdf_text observed=2026-08-07T14:35:48.367886Z digest=sha256:78764be394829756e4b6e66d340d2e607ebf54a14d60f68fec215d966b89f36b

Observation 22ede40a-805c-4625-93e2-84aae159958b · outbound

This paper cites Compulsion re- sistant anonymous communications.

Towards Anonymous Neural Network Inference Compulsion re- sistant anonymous communications

Reference 5

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Observation a3565cd4-966f-4082-b0b1-4ed743e6af19 · outbound

This paper cites Sphinx: A compact and provably secure mix format.

Towards Anonymous Neural Network Inference Sphinx: A compact and provably secure mix format

Reference 6

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Observation 6e1d014f-856b-464a-acd7-49ab2129bc1d · outbound

This paper cites Statistical dis- closure or intersection attacks on anonymity systems.

Towards Anonymous Neural Network Inference Statistical dis- closure or intersection attacks on anonymity systems

Reference 7

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Observation f9173859-466e-4bec-b6fb-b21a871979cc · outbound

This paper cites Bridging and fin- gerprinting: Epistemic attacks on route selection.

Towards Anonymous Neural Network Inference Bridging and fin- gerprinting: Epistemic attacks on route selection

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 63c69099-19d0-42fc-8569-04b52c163bbf · outbound

This paper cites Preventing active timing attacks in low-latency anony- mous communication.

Towards Anonymous Neural Network Inference Preventing active timing attacks in low-latency anony- mous communication

Reference 9

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Observation 4f4472ae-652d-4fbb-9154-bbf7dc547e1e · outbound

This paper cites An overview of the hybrid argument.

Towards Anonymous Neural Network Inference An overview of the hybrid argument

Reference 10

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Observation c0ea4244-565f-4ccb-a737-94e9d34d03ac · outbound

This paper cites F oundations of Cryptography: V olume 1, Basic Tools.

Towards Anonymous Neural Network Inference F oundations of Cryptography: V olume 1, Basic Tools

Reference 11

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Observation cb296d70-6f81-468d-bcb1-7285c25889d3 · outbound

This paper cites Deep Learning.

Towards Anonymous Neural Network Inference Deep Learning

Reference 12

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Observation 41d060ae-65d9-487b-8043-6e957456e307 · outbound

This paper cites Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour.

Towards Anonymous Neural Network Inference Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Reference 13

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Observation 48836b04-b1cb-4f71-97ca-530837f5aaac · outbound

This paper cites Penet remailer, 1996.

Towards Anonymous Neural Network Inference Penet remailer, 1996

Reference 14

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Observation 539628cf-cfd5-4a26-baff-220ba1edb0c7 · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

Towards Anonymous Neural Network Inference Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 15

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Observation e724d517-48fe-42e4-98ef-424a6a38861f · outbound

This paper cites Le, Yonghui Wu, and Zhifeng Chen.

Towards Anonymous Neural Network Inference Le, Yonghui Wu, and Zhifeng Chen

Reference 16

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 340d01ae-2ab7-4282-9de6-5f59748d0328 · outbound

This paper cites Infeld and David Stainton.

Towards Anonymous Neural Network Inference Infeld and David Stainton

Reference 17

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 99c75b52-d175-4428-9b58-7396c27924e4 · outbound

This paper cites Echomix: a Strong Anonymity System with Messaging.

Towards Anonymous Neural Network Inference Echomix: a Strong Anonymity System with Messaging

Reference 18

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Observation 78088efc-955d-4841-9b2a-2abab66d43b1 · outbound

This paper cites SentencePiece: A sim- ple and language-independent subword tokenizer and detokenizer for neural text processing.

Towards Anonymous Neural Network Inference SentencePiece: A sim- ple and language-independent subword tokenizer and detokenizer for neural text processing

Reference 19

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 0b3f30c3-b65b-46bf-828c-d49bdcc073d9 · outbound

This paper cites Gordon, Stefanie Jegelka, and Ruslan 13 Salakhutdinov.

Towards Anonymous Neural Network Inference Gordon, Stefanie Jegelka, and Ruslan 13 Salakhutdinov

Reference 20

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Observation 2dede6df-91e1-4215-af57-d4483ebc3765 · outbound

This paper cites Intel ® software guard extensions (intel ® sgx) support for dynamic memory management inside an enclave.

Towards Anonymous Neural Network Inference Intel ® software guard extensions (intel ® sgx) support for dynamic memory management inside an enclave

Reference 21

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Observation f3e2bed0-367d-48d9-b739-b5cd184f4dd2 · outbound

This paper cites Machine learning with confidential computing: A systematization of knowledge.

Towards Anonymous Neural Network Inference Machine learning with confidential computing: A systematization of knowledge

Reference 22

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Observation 2914ee05-de53-41a2-8f92-0efc18e0ed85 · outbound

This paper cites Nvidia nim llms benchmarking, May 2025.

Towards Anonymous Neural Network Inference Nvidia nim llms benchmarking, May 2025

Reference 23

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Observation b0079d64-f642-498b-8fc2-683ef56e1a44 · outbound

This paper cites TOPLOC: A Locality Sensitive Hashing Scheme for Trustless Verifiable Inference.

Towards Anonymous Neural Network Inference TOPLOC: A Locality Sensitive Hashing Scheme for Trustless Verifiable Inference

Reference 24

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Observation 1c1f6eb6-4053-4703-b711-d23b9b92fad6 · outbound

This paper cites Hidden no more: Attacking and defending private third-party LLM inference.

Towards Anonymous Neural Network Inference Hidden no more: Attacking and defending private third-party LLM inference

Reference 25

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 95294a59-2499-499d-a1d3-e424380cb2be · outbound

This paper cites Neural machine translation of rare words with subword units.

Towards Anonymous Neural Network Inference Neural machine translation of rare words with subword units

Reference 26

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Observation dd8402e6-53a6-4a3d-8388-e953bf1c3ad5 · outbound

This paper cites From a trickle to a flood: Active attacks on several mix types.

Towards Anonymous Neural Network Inference From a trickle to a flood: Active attacks on several mix types

Reference 27

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raw_fallback, observed 2026-08-07T14:35:48.984954Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation d3d058b3-0caf-40cf-bcc4-318ce6ca49e8 · outbound

This paper cites Timing analy- sis in low-latency mix networks: Attacks and defenses.

Towards Anonymous Neural Network Inference Timing analy- sis in low-latency mix networks: Attacks and defenses

Reference 28

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raw_fallback, observed 2026-08-07T14:35:48.961528Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation c64192c9-859a-4575-9b62-493695bce730 · outbound

This paper cites SIGY: Breaking Intel SGX Enclaves with Malicious Exceptions & Signals.

Towards Anonymous Neural Network Inference SIGY: Breaking Intel SGX Enclaves with Malicious Exceptions & Signals

Reference 29

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local_arxiv, observed 2026-08-07T14:35:48.695603Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation f71cb8ea-044f-435c-a207-8e3f1a98886f · outbound

This paper cites zk- llm: Zero knowledge proofs for large language models.

Towards Anonymous Neural Network Inference zk- llm: Zero knowledge proofs for large language models

Reference 30

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raw_fallback, observed 2026-08-07T14:35:48.934442Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:35:48.568535Z digest=sha256:407b56801bf6a93233f1071ac226116b2d8c56bd26f091de7e48bca8e8b52728

Observation e65db143-ca30-457c-b588-3f63914fbdbb · outbound

This paper cites The bayesian traffic analysis of mix networks.

Towards Anonymous Neural Network Inference The bayesian traffic analysis of mix networks

Reference 31

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raw_fallback, observed 2026-08-07T14:35:48.907156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:35:48.577474Z digest=sha256:bc7dfdc106616fd18d2a7e24a7459a42e472f3f54f9e10407e7d2734d5a019e4

Observation 8d925711-4df8-4052-ba73-aa19221cef74 · outbound

This paper cites Gomez, Łukasz Kaiser, and Illia Polosukhin.

Towards Anonymous Neural Network Inference Gomez, Łukasz Kaiser, and Illia Polosukhin

Reference 32

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raw_fallback, observed 2026-08-07T14:35:48.883516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:35:48.583025Z digest=sha256:e8c6b3da9fcb65d37f6e7d81cf09602c6f2fc0f457b01bd9ababe4cb4442530e

Observation 14bb25b9-417e-4c09-80dd-5ba719829399 · outbound

This paper cites Will we run out of data? Limits of LLM scaling based on human-generated data.

Towards Anonymous Neural Network Inference Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 33

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no resolver link, observed 2026-08-07T14:35:48.589015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:35:48.589015Z digest=sha256:994377d17b1dbb777fa73a480f0bc484b1467896ab0f60eaa5a688169ac991e4

Observation 8aba1286-94c6-4677-9e1b-1e51fb6087f4 · outbound

This paper cites Roofline: An insightful visual performance model for multicore architectures.

Towards Anonymous Neural Network Inference Roofline: An insightful visual performance model for multicore architectures

Reference 34

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raw_fallback, observed 2026-08-07T14:35:48.865605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:35:48.597102Z digest=sha256:6db252d25928f87299db11d99df6b9a966c63d741707aef51b8e8c15f65a4dec

Observation e7542b92-6191-4f93-ad55-730cb54ad625 · outbound

This paper cites OVERFLOW.

Towards Anonymous Neural Network Inference OVERFLOW

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:35:48.608040Z digest=sha256:63eb2d74b9abe6efc52ee250043025fd724f3d121095aacc66bfd406c33fa86a

Observation 47f5b7f9-c06b-4874-873d-71252ec0f3a4 · outbound

This paper cites an unresolved cited work.

Towards Anonymous Neural Network Inference Unresolved cited work

Reference 2009

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no resolver link, observed 2026-08-07T14:35:48.389976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.