Paper Citation Record · LEDGER

Protecting Intellectual Property of EEG-based Neural Networks with Watermarking

As of 22 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2502.05931.

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

pith.paper-citation-record.v1
2502.05931 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:25:03.254748Z

measured 30 of 30 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 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

30 of 30 outbound references displayed

verified exact5
verified fuzzy17
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3087ad10-6312-46a0-b7eb-5bf6301cc2af · outbound

This paper cites GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition.

Protecting Intellectual Property of EEG-based Neural Networks with Watermarking GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-08T17:25:03.932796Z

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 0a73bcc6-2077-484a-acdf-e6fde61c42da · outbound

This paper cites Emotion recognition from physiological signals using multi-hypergraph neural networks,.

Protecting Intellectual Property of EEG-based Neural Networks with Watermarking Emotion recognition from physiological signals using multi-hypergraph neural networks,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:25:04.649076Z

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 9305d731-7451-4344-adf8-e8f4bb75d3fd · outbound

This paper cites Persistent and unforgeable watermarks for deep neural networks,.

Protecting Intellectual Property of EEG-based Neural Networks with Watermarking Persistent and unforgeable watermarks for deep neural networks,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:25:04.497318Z

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 9518f3b1-badc-4357-94d7-971bdf1b8bd2 · outbound

This paper cites Protecting intellectual property of eeg-based model with watermarking,.

Protecting Intellectual Property of EEG-based Neural Networks with Watermarking Protecting intellectual property of eeg-based model with watermarking,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:25:04.486324Z

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 c499647e-3453-441d-8e6a-138e53e9e612 · outbound

This paper cites Deep Intellectual Property Protection: A Survey.

Protecting Intellectual Property of EEG-based Neural Networks with Watermarking Deep Intellectual Property Protection: A Survey

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T17:25:02.630696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be38c28b-187d-4a35-a139-65dce0fcfbb5 · outbound

This paper cites Embedding watermarks into deep neural networks,.

Protecting Intellectual Property of EEG-based Neural Networks with Watermarking Embedding watermarks into deep neural networks,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T17:25:02.664759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 989ecc97-a5c8-4a97-9f9e-84281dfb3b92 · outbound

This paper cites Turning your weakness into a strength: Watermarking deep neural networks by backdooring,.

Protecting Intellectual Property of EEG-based Neural Networks with Watermarking Turning your weakness into a strength: Watermarking deep neural networks by backdooring,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:25:04.475410Z

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 76ca8b32-73f3-485a-8554-62b2e08566b6 · outbound

This paper cites Rethinking deep neural net- work ownership verification: Embedding passports to defeat ambigu- ity attacks,.

Protecting Intellectual Property of EEG-based Neural Networks with Watermarking Rethinking deep neural net- work ownership verification: Embedding passports to defeat ambigu- ity attacks,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:25:04.454755Z

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 f613a0f3-ee24-4f10-9cd8-1c55ed2adf7c · outbound

This paper cites Protecting intellectual property of deep neural networks with watermarking,.

Protecting Intellectual Property of EEG-based Neural Networks with Watermarking Protecting intellectual property of deep neural networks with watermarking,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:25:04.530818Z

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 bc3c2b5a-7f91-4c24-90d1-5ed1f42cfc85 · outbound

This paper cites Riga: Covert and robust white-box watermarking of deep neural networks,.

Protecting Intellectual Property of EEG-based Neural Networks with Watermarking Riga: Covert and robust white-box watermarking of deep neural networks,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T17:25:02.767476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55073a4b-20e5-403b-8c92-e5fda81f7573 · outbound

This paper cites Are you stealing my model? sample cor- relation for fingerprinting deep neural networks,.

Protecting Intellectual Property of EEG-based Neural Networks with Watermarking Are you stealing my model? sample cor- relation for fingerprinting deep neural networks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:25:04.415574Z

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 8e097246-9e0f-4add-850c-2f794fb8fbbc · outbound

This paper cites Fingerprinting deep neural networks globally via universal adversarial perturbations,.

Protecting Intellectual Property of EEG-based Neural Networks with Watermarking Fingerprinting deep neural networks globally via universal adversarial perturbations,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:25:04.400005Z

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 23bbab80-8b99-4119-9417-173810e6f1c0 · outbound

This paper cites Computational sensor fingerprints,.

Protecting Intellectual Property of EEG-based Neural Networks with Watermarking Computational sensor fingerprints,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:25:04.387725Z

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 dd2658b6-f930-4d1b-afe2-6d1b2732c4c4 · outbound

This paper cites DeepMarks: A Digital Fingerprinting Framework for Deep Neural Networks.

Protecting Intellectual Property of EEG-based Neural Networks with Watermarking DeepMarks: A Digital Fingerprinting Framework for Deep Neural Networks

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-08T17:25:03.755956Z

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 d25e544e-e2c5-456d-8457-67aac63f98ce · outbound

This paper cites Deepsigns: A generic watermarking framework for ip protection of deep learning models,.

Protecting Intellectual Property of EEG-based Neural Networks with Watermarking Deepsigns: A generic watermarking framework for ip protection of deep learning models,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:25:04.375009Z

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 43dc9b4e-154a-42e6-b48f-9e5374a314d9 · outbound

This paper cites Deepmarks: A secure fingerprinting framework for digital rights management of deep learning models,.

Protecting Intellectual Property of EEG-based Neural Networks with Watermarking Deepmarks: A secure fingerprinting framework for digital rights management of deep learning models,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T17:25:02.815032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87c16850-c6f3-4924-b856-2e5046d6500d · outbound

This paper cites Reversible watermarking in deep convolutional neural networks for integrity authen- tication,.

Protecting Intellectual Property of EEG-based Neural Networks with Watermarking Reversible watermarking in deep convolutional neural networks for integrity authen- tication,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:25:04.357832Z

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 7aecc498-a26d-4aa5-a210-94c4b1b03ebe · outbound

This paper cites Comprehensive review of watermarking techniques in deep-learning environments,.

Protecting Intellectual Property of EEG-based Neural Networks with Watermarking Comprehensive review of watermarking techniques in deep-learning environments,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:25:04.346305Z

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 ec7b865e-6ffc-4497-ae93-19e461f6fcb2 · outbound

This paper cites Adversarial frontier stitching for remote neural network watermarking,.

Protecting Intellectual Property of EEG-based Neural Networks with Watermarking Adversarial frontier stitching for remote neural network watermarking,

Reference 20

Resolution: verified exact; doi, observed 2026-08-08T17:25:03.514747Z

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 5baa5124-b240-4352-b288-1f29a8913d54 · outbound

This paper cites A survey of deep neural network watermarking techniques,.

Protecting Intellectual Property of EEG-based Neural Networks with Watermarking A survey of deep neural network watermarking techniques,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:25:04.324879Z

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 cad35994-0a15-4f63-9ea9-015ba1ee1a55 · outbound

This paper cites Watermarking deep neural networks with greedy residuals,.

Protecting Intellectual Property of EEG-based Neural Networks with Watermarking Watermarking deep neural networks with greedy residuals,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:25:04.195290Z

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 6a2d42ae-bd38-48bd-92df-5ba88539ad92 · outbound

This paper cites FedIPR: Ownership Verification for Federated Deep Neural Network Models.

Protecting Intellectual Property of EEG-based Neural Networks with Watermarking FedIPR: Ownership Verification for Federated Deep Neural Network Models

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-08T17:25:03.648539Z

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 a87ef43c-e12b-4e1d-8050-77feb13dd454 · outbound

This paper cites Deap: A database for emotion analysis using physiological signals,.

Protecting Intellectual Property of EEG-based Neural Networks with Watermarking Deap: A database for emotion analysis using physiological signals,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:25:03.981270Z

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 ca6f60ef-164b-4b0f-aa60-6bbc15ac315c · outbound

This paper cites Continuous convolutional neural network with 3d input for eeg-based emotion recognition,.

Protecting Intellectual Property of EEG-based Neural Networks with Watermarking Continuous convolutional neural network with 3d input for eeg-based emotion recognition,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:25:03.943863Z

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 8ff4f272-6c38-4ec0-a896-4d3d8f2a7ac7 · outbound

This paper cites Tsception: Capturing temporal dynamics and spatial asymmetry from eeg for emotion recognition,.

Protecting Intellectual Property of EEG-based Neural Networks with Watermarking Tsception: Capturing temporal dynamics and spatial asymmetry from eeg for emotion recognition,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T17:25:03.176589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5587ad9-1323-4ce2-9cce-d67a34fb4034 · outbound

This paper cites Eegnet: a compact convolutional neural network for eeg-based brain–computer interfaces,.

Protecting Intellectual Property of EEG-based Neural Networks with Watermarking Eegnet: a compact convolutional neural network for eeg-based brain–computer interfaces,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-08T17:25:03.214138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e889b191-9bdf-46d2-902b-0b68cd781ade · outbound

This paper cites Secure neural network watermarking protocol against forging attack,.

Protecting Intellectual Property of EEG-based Neural Networks with Watermarking Secure neural network watermarking protocol against forging attack,

Reference 28

Resolution: verified exact; doi, observed 2026-08-08T17:25:03.385292Z

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 410f4a2a-ed33-4a9b-ab82-3adff199d389 · outbound

This paper cites 6978–6988.

Protecting Intellectual Property of EEG-based Neural Networks with Watermarking 6978–6988

Reference 139

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:25:04.075529Z

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 30f8443c-8ff7-4761-ad14-cc1bd32e7751 · outbound

This paper cites DeepSigns: A Generic Watermarking Framework for IP Protection of Deep Learning Models.

Protecting Intellectual Property of EEG-based Neural Networks with Watermarking DeepSigns: A Generic Watermarking Framework for IP Protection of Deep Learning Models

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-08T17:25:02.811196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fd14cc4-2f16-49db-9adb-cd87470aa658 · outbound

This paper cites Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations.

Protecting Intellectual Property of EEG-based Neural Networks with Watermarking Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-08T17:25:02.790237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.