Paper Citation Record · LEDGER

Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation

As of 7 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2508.06676.

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

pith.paper-citation-record.v1
2508.06676 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:41:52.436081Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

21 of 21 outbound references displayed

verified exact0
verified fuzzy16
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1316ace1-f45e-4284-a136-02a2a007179e · outbound

This paper cites How to prove your model belongs to you: A blind-watermark based framework to protect intellectual property of dnn,.

Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation How to prove your model belongs to you: A blind-watermark based framework to protect intellectual property of dnn,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:41:52.638636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5724ebcd-eb57-4854-9457-45c40873c10b · outbound

This paper cites Margin-based neural network watermarking,.

Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation Margin-based neural network watermarking,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:41:52.625052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8b339097-0a45-4b8d-b5c4-897aabd90901 · outbound

This paper cites Customized and robust deep neural network watermarking,.

Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation Customized and robust deep neural network watermarking,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:41:52.613571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dcda6470-1371-4861-bec0-19d0c0bf2a7a · outbound

This paper cites KAN: Kolmogorov–arnold networks,.

Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation KAN: Kolmogorov–arnold networks,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:41:52.605549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 86425b71-03c5-4155-93c9-93dd63ef9384 · outbound

This paper cites On the representation of continuous functions of many variables by superposition of continuous functions of one variable and addition,.

Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation On the representation of continuous functions of many variables by superposition of continuous functions of one variable and addition,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:41:52.597108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ebe9c60c-8a49-49ce-aa90-5eba92939fee · outbound

This paper cites TKAN: Temporal Kolmogorov-Arnold Networks.

Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation TKAN: Temporal Kolmogorov-Arnold Networks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T22:41:52.397616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db958d0a-f9a6-4ab8-8470-18ffeb171122 · outbound

This paper cites Kolmogorov-Arnold Network for Satellite Image Classification in Remote Sensing.

Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation Kolmogorov-Arnold Network for Satellite Image Classification in Remote Sensing

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T22:41:52.401149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5dfa4008-9eb0-402a-9538-7e461768fee4 · outbound

This paper cites Embedding watermarks into deep neural networks,.

Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation Embedding watermarks into deep neural networks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:41:52.588437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cd5edf9e-a10e-4a55-9f9a-315485b6e591 · outbound

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

Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation Turning your weakness into a strength: Watermarking deep neural networks by back- dooring,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:41:52.579878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation de452630-9498-41d9-b379-19356a684ff2 · outbound

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

Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation Protecting intellectual property of deep neural networks with watermarking,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:41:52.571716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 447b6795-994b-4486-a2e9-b704d7fe4ffd · outbound

This paper cites Deepipr: Deep neural network ownership verification with passports,.

Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation Deepipr: Deep neural network ownership verification with passports,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:41:52.563957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 37a49081-1b06-4aa7-a9a0-bc3ba5783b4b · outbound

This paper cites Multilayer feedforward networks are universal approximators,.

Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation Multilayer feedforward networks are universal approximators,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T22:41:52.413701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93926337-98e1-4bf4-9a61-40cb590ab398 · outbound

This paper cites On the representation of continuous functions of three variables by superpositions of continuous functions of two variables,.

Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation On the representation of continuous functions of three variables by superpositions of continuous functions of two variables,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:41:52.550808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 930deef4-5049-438f-9fe9-e2d87195e350 · outbound

This paper cites Kolmogorov, On the representation of continuous functions of several variables by superpositions of continuous functions of a smaller number of variables.

Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation Kolmogorov, On the representation of continuous functions of several variables by superpositions of continuous functions of a smaller number of variables

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:41:52.541949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f4db7c35-bdc7-419b-a09b-47310e9cfcde · outbound

This paper cites DeepOKAN: Deep Operator Network Based on Kolmogorov Arnold Networks for Mechanics Problems.

Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation DeepOKAN: Deep Operator Network Based on Kolmogorov Arnold Networks for Mechanics Problems

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T22:41:52.421127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ad21c96-9ce8-44ea-8796-4df50d609b83 · outbound

This paper cites Discrete cosine transform,.

Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation Discrete cosine transform,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:41:52.532513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation aedf4e18-9921-4352-81c8-0785178a3a74 · outbound

This paper cites The mnist database of handwritten digit images for machine learning research,.

Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation The mnist database of handwritten digit images for machine learning research,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:41:52.523902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation beb406c1-f250-4d4c-869d-8bf0b87e86be · outbound

This paper cites Ai feynman: A physics-inspired method for symbolic regression,.

Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation Ai feynman: A physics-inspired method for symbolic regression,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:41:52.515698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 03f0569a-9997-490d-bfb4-4388260ac2d7 · outbound

This paper cites Ai feynman 2.0: Pareto-optimal symbolic regression exploiting graph mod- ularity,.

Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation Ai feynman 2.0: Pareto-optimal symbolic regression exploiting graph mod- ularity,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:41:52.506866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 84614177-457c-449d-8025-65bf2c5a05c6 · outbound

This paper cites Reproducibility materials (codes, models, and documents),.

Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation Reproducibility materials (codes, models, and documents),

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:41:52.498095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6e63b595-3a6d-49fe-988f-7c411d627dd3 · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T22:41:52.436081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.