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Paper Citation Record · LEDGER

Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing

As of 19 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2605.26679.

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

pith.paper-citation-record.v1
2605.26679 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T17:07:11.916574Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

35 of 35 outbound references displayed

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  • unresolved35
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 97b67de3-a262-4795-a467-962716985b71 · outbound

This paper cites Domain-adapted granger causality for real-time cross-slice attack attribution in 6g networks,.

Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing Domain-adapted granger causality for real-time cross-slice attack attribution in 6g networks,

Reference 1

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Observation b0b6990c-1394-428d-a6a1-e06ffe6aa3f2 · outbound

This paper cites 6g wireless systems: Vision, requirements, challenges, insights, and opportunities,.

Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing 6g wireless systems: Vision, requirements, challenges, insights, and opportunities,

Reference 2

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Observation 401095fd-a1b6-43dd-936d-e347054282cc · outbound

This paper cites On end-to-end approach for slice isolation in 5g networks. fundamental challenges,.

Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing On end-to-end approach for slice isolation in 5g networks. fundamental challenges,

Reference 3

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Observation bd40f282-f521-41e2-b25c-8970329ac21c · outbound

This paper cites Analysis of encrypted network traffic for enhancing cyber-security in dynamic environments,.

Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing Analysis of encrypted network traffic for enhancing cyber-security in dynamic environments,

Reference 4

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Observation 226c2fa1-0c9e-4d30-924f-2bc6be7d3bb3 · outbound

This paper cites Investigating causal relations by econometric models and cross-spectral methods,.

Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing Investigating causal relations by econometric models and cross-spectral methods,

Reference 5

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Observation 8ca22d4e-0b30-4c4d-947c-22eed57ec048 · outbound

This paper cites Inductive representation learning on large graphs,.

Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing Inductive representation learning on large graphs,

Reference 6

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Observation 16a55d1f-a1cf-4b9a-af0e-985100324fdd · outbound

This paper cites Holmes: real-time apt detection through correlation of suspicious information flows,.

Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing Holmes: real-time apt detection through correlation of suspicious information flows,

Reference 7

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Observation b9fd5fa2-9f84-42f0-aeb4-71ec8564886d · outbound

This paper cites A scalable approach to attack graph generation,.

Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing A scalable approach to attack graph generation,

Reference 8

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source=pdf_text observed=2026-06-29T17:07:11.916574Z digest=sha256:54b6c9726522c909043b7f8437db3549683044ed5b927e2148aedfd1efdfdef8

Observation dd8dab92-7bcf-4de2-8873-89190317681a · outbound

This paper cites Machine learning approaches to iot security: A systematic literature review,.

Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing Machine learning approaches to iot security: A systematic literature review,

Reference 9

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source=pdf_text observed=2026-06-29T17:07:11.916574Z digest=sha256:65fdb34c2f8c3584e020faff362e43c51ad64d5adcd9ac8bc2f27b51d4be8da8

Observation 92c0f0f2-86a4-4dc2-8268-cf2e3e0af2ab · outbound

This paper cites Granger causality: A review and recent advances,.

Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing Granger causality: A review and recent advances,

Reference 10

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Observation 82ef152a-6417-4b5e-bd4e-dcbea971e14e · outbound

This paper cites Dynamic network security leveraging efficient covinet with granger causality-inspired graph neural networks for data compression in cloud iot devices,.

Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing Dynamic network security leveraging efficient covinet with granger causality-inspired graph neural networks for data compression in cloud iot devices,

Reference 11

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Observation 51a807d4-9b9c-4ea2-adb0-e2c79f30006f · outbound

This paper cites Modified local granger causality analysis based on peter-clark algorithm for multivariate time series prediction on iot data,.

Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing Modified local granger causality analysis based on peter-clark algorithm for multivariate time series prediction on iot data,

Reference 12

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source=pdf_text observed=2026-06-29T17:07:11.916574Z digest=sha256:b9b58bcb1e542de3059bd67712e03daf331fb689572e98a4aabe607368c60381

Observation ad6b6e28-f51d-4604-8230-b5f4a306f33b · outbound

This paper cites Detecting and quantifying causal associations in large nonlinear time series datasets,.

Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing Detecting and quantifying causal associations in large nonlinear time series datasets,

Reference 13

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Observation aac0c3c1-5749-4d55-84ab-237cf79cec89 · outbound

This paper cites A copula-based granger causality measure for the analysis of neural spike train data,.

Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing A copula-based granger causality measure for the analysis of neural spike train data,

Reference 14

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Observation 6f72062f-30a8-482a-bddd-fa5487d36074 · outbound

This paper cites Neural machine translation by jointly learning to align and translate,.

Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing Neural machine translation by jointly learning to align and translate,

Reference 15

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Observation 235dc1ea-07ad-46ce-b016-16fb060aefb5 · outbound

This paper cites Neural ordinary differential equations,.

Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing Neural ordinary differential equations,

Reference 16

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Observation 17b4490a-dfa5-4fcc-b05b-164ce7ba14e1 · outbound

This paper cites Mean- field games for resource sharing in cloud-based networks,.

Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing Mean- field games for resource sharing in cloud-based networks,

Reference 17

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Observation dcbdd1be-5201-4d6b-9cd5-eec3e14321b8 · outbound

This paper cites Adversarial examples against the deep learning based network intrusion detection systems,.

Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing Adversarial examples against the deep learning based network intrusion detection systems,

Reference 18

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Observation c9b58a48-445a-41a2-994b-2b4d74d9472e · outbound

This paper cites Adver- sarial feature selection against evasion attacks,.

Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing Adver- sarial feature selection against evasion attacks,

Reference 19

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Observation 4ae86ba4-2dec-4952-a8c5-896f187f20ee · outbound

This paper cites Mea- suring information leakage using generalized gain functions,.

Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing Mea- suring information leakage using generalized gain functions,

Reference 20

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Observation 567f7787-9efb-4095-b1bd-7fa6a810a851 · outbound

This paper cites Lf-gdpr: A framework for estimating graph metrics with local differential privacy,.

Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing Lf-gdpr: A framework for estimating graph metrics with local differential privacy,

Reference 21

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Observation 35be1866-6834-46df-aafc-c8993187819a · outbound

This paper cites Controlling the false discovery rate: a practical and powerful approach to multiple testing,.

Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing Controlling the false discovery rate: a practical and powerful approach to multiple testing,

Reference 22

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Observation 8a9abe4a-69ce-47fa-b4c6-9f7204464408 · outbound

This paper cites Clustering with bregman divergences,.

Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing Clustering with bregman divergences,

Reference 23

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Observation 597ea788-5f61-4186-b94d-56171ccb5882 · outbound

This paper cites Basseville and I.

Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing Basseville and I

Reference 24

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Observation 7407960c-1f86-4756-9b9f-0acbd983ae69 · outbound

This paper cites Some theorems on quadratic forms applied in the study of analysis of variance problems, i. effect of inequality of variance in the one-way classification,.

Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing Some theorems on quadratic forms applied in the study of analysis of variance problems, i. effect of inequality of variance in the one-way classification,

Reference 25

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Observation 45295c1a-33f6-423e-a6d8-b04c67855028 · outbound

This paper cites An approximate distribution of estimates of variance components,.

Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing An approximate distribution of estimates of variance components,

Reference 26

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Observation fd72f1b3-8007-4381-9a1e-92e14da916e7 · outbound

This paper cites On the convergence rate in the central limit theorem for weakly dependent random variables,.

Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing On the convergence rate in the central limit theorem for weakly dependent random variables,

Reference 27

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Observation 99b28979-9ec8-44db-9edc-06c62e66149e · outbound

This paper cites The control of the false discovery rate in multiple testing under dependency,.

Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing The control of the false discovery rate in multiple testing under dependency,

Reference 28

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Observation 3c193c7e-22cb-4934-b405-f615df50bdc6 · outbound

This paper cites An improved bonferroni procedure for multiple tests of significance,.

Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing An improved bonferroni procedure for multiple tests of significance,

Reference 29

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Observation 8f93ebbf-6da7-4893-904a-ed32b64a8139 · outbound

This paper cites Correlation inequalities on some partially ordered sets,.

Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing Correlation inequalities on some partially ordered sets,

Reference 30

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Observation 3527cb92-6793-4698-9047-d924dc7f677c · outbound

This paper cites Rates of convergence for empirical processes of stationary mixing sequences,.

Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing Rates of convergence for empirical processes of stationary mixing sequences,

Reference 31

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Observation 1247e163-b268-4ada-ab3c-8f6c4ff8fcd1 · outbound

This paper cites A nonstochastic interpretation of reported significance levels,.

Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing A nonstochastic interpretation of reported significance levels,

Reference 32

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Observation 85a65841-55cd-42e2-ae22-ff73b8ad104b · outbound

This paper cites Dwork and A.

Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing Dwork and A

Reference 33

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Observation 3bd35604-724f-4900-afca-98d8170a4893 · outbound

This paper cites Measuring information-transfer delays,.

Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing Measuring information-transfer delays,

Reference 34

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Observation f7cec1ab-b7a0-4dba-81fc-00c24ff90abb · outbound

This paper cites Spirtes, C.

Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing Spirtes, C

Reference 35

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