Paper Citation Record · LEDGER

Keyed Chaotic Dynamics for Privacy-Preserving Neural Inference

As of 21 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 1 inbound Pith citation observation for arXiv:2505.23655.

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

pith.paper-citation-record.v1
2505.23655 v3

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:43:30.828603Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-15T02:12:40.267648Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T02:13:30.240092Z

Reference resolution

10 of 10 outbound references displayed

verified exact0
verified fuzzy9
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8ad16290-04f9-4540-80c5-a52cdf8e0b48 · outbound

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

Keyed Chaotic Dynamics for Privacy-Preserving Neural Inference Cryptonets: Applying neural networks to encrypted data with high throughput and accuracy

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:31.937560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bbfc2040-f8ba-4a7c-b366-eb2ef3d35c23 · outbound

This paper cites Secureml: A system for scalable privacy-preserving machine learning.

Keyed Chaotic Dynamics for Privacy-Preserving Neural Inference Secureml: A system for scalable privacy-preserving machine learning

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:31.824756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3f1298f4-524f-4fb5-9427-4689d47e87d4 · outbound

This paper cites Cryptography and Network Security: Principles and Practice.

Keyed Chaotic Dynamics for Privacy-Preserving Neural Inference Cryptography and Network Security: Principles and Practice

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:31.716135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 38dc8657-d4c3-41c1-94d2-1d6ecf6440f6 · outbound

This paper cites Fips pub 197: Advanced encryption standard (aes).

Keyed Chaotic Dynamics for Privacy-Preserving Neural Inference Fips pub 197: Advanced encryption standard (aes)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:31.575080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 822c5f64-29b0-44e8-aadb-ef365ff9ab21 · outbound

This paper cites Fips pub 198-1: The keyed-hash message authentication code (hmac).

Keyed Chaotic Dynamics for Privacy-Preserving Neural Inference Fips pub 198-1: The keyed-hash message authentication code (hmac)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:31.440736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2978bc0a-7394-4b95-8ef3-ba6d0dc0ae25 · outbound

This paper cites Fips pub 180-4: Secure hash standard (shs).

Keyed Chaotic Dynamics for Privacy-Preserving Neural Inference Fips pub 180-4: Secure hash standard (shs)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:31.317879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f2523067-fd20-4703-a428-82d99841eee5 · outbound

This paper cites Deep learning with differential privacy.

Keyed Chaotic Dynamics for Privacy-Preserving Neural Inference Deep learning with differential privacy

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:31.196318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9b324c57-268f-4ad0-b6d1-a6d864139b05 · outbound

This paper cites Embedding watermarks into deep neural networks.

Keyed Chaotic Dynamics for Privacy-Preserving Neural Inference Embedding watermarks into deep neural networks

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:31.104201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6c816ea9-a75a-4bb0-9250-ada55461d957 · outbound

This paper cites Nonlinear dynamics and chaos: with applications to physics, biology, chemistry, and engineering.

Keyed Chaotic Dynamics for Privacy-Preserving Neural Inference Nonlinear dynamics and chaos: with applications to physics, biology, chemistry, and engineering

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T12:43:30.767141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48f67177-0531-4eca-b7b9-b9545724eb1b · outbound

This paper cites Chaos in dynamical systems.

Keyed Chaotic Dynamics for Privacy-Preserving Neural Inference Chaos in dynamical systems

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:30.990497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation 2dafc67c-b9a0-444d-971c-02ffbcae4ee6 · inbound

Keyed Nonlinear Transform: Lightweight Privacy-Enhancing Feature Sharing for Medical Image Analysis cites this paper.

Keyed Nonlinear Transform: Lightweight Privacy-Enhancing Feature Sharing for Medical Image Analysis Keyed Chaotic Dynamics for Privacy-Preserving Neural Inference

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:13:30.241998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.