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Paper Citation Record · LEDGER

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures

As of 18 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 1 inbound Pith citation observation for arXiv:2507.14387.

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

pith.paper-citation-record.v1
2507.14387 v1

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:10:36.556747Z

measured 62 of 62 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:03:18.963109Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T21:03:19.895226Z

Reference resolution

61 of 61 outbound references displayed

  • verified exact4
  • verified fuzzy35
  • unresolved18
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9ea52701-1c62-4d5f-a12b-94ceafb9309b · outbound

This paper cites Enhancing critical infrastructure security: Unsupervised learning approaches for anomaly detection,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Enhancing critical infrastructure security: Unsupervised learning approaches for anomaly detection,

Reference 1

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Observation 75972af0-07f5-47fb-aed4-2b2e5683a853 · outbound

This paper cites Incremental graph clustering for efficient retrieval from streaming egocentric video data,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Incremental graph clustering for efficient retrieval from streaming egocentric video data,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 0618c1ef-6088-4987-938a-799a2c5171f6 · outbound

This paper cites Anonymous edge representation for inductive anomaly detection in dynamic bipartite graph,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Anonymous edge representation for inductive anomaly detection in dynamic bipartite graph,

Reference 3

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Observation e0573189-e8f3-4750-8728-a704e66a78f7 · outbound

This paper cites Anomaly detection in dynamic graphs via transformer,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Anomaly detection in dynamic graphs via transformer,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 70d878a5-f01a-4953-bb99-07a3a9ba7d41 · outbound

This paper cites Incremental causal graph learning for online root cause analysis,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Incremental causal graph learning for online root cause analysis,

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d6ea639c-2e37-4663-8c3b-ea4978cdaecf · outbound

This paper cites Multi-view causal graph fusion based anomaly detection in cyber-physical infrastructures,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Multi-view causal graph fusion based anomaly detection in cyber-physical infrastructures,

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7a49d5ee-0675-4cde-8031-2e2671eac3fb · outbound

This paper cites Entropy causal graphs for multivariate time series anomaly detection,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Entropy causal graphs for multivariate time series anomaly detection,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 75b26876-0c15-4fc1-96e9-4315c2681e1e · outbound

This paper cites Rethinking Spatio-Temporal Anomaly Detection: A Vision for Causality-Driven Cybersecurity.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Rethinking Spatio-Temporal Anomaly Detection: A Vision for Causality-Driven Cybersecurity

Reference 8

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Source-reported events for the cited work

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Observation 8d64bc5c-f4e7-462b-8f62-79538bf071cd · outbound

This paper cites Incremental support vector learning: Analysis, implementation and applications.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Incremental support vector learning: Analysis, implementation and applications

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 7a2cc5d0-1a04-472b-85f9-2f8a4126bf99 · outbound

This paper cites Incremental svm based on reserved set for network intrusion detection,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Incremental svm based on reserved set for network intrusion detection,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation b7f2f7f1-3389-49cc-9e0c-5f8c46fc0547 · outbound

This paper cites Using density-based incremental clustering for anomaly detection,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Using density-based incremental clustering for anomaly detection,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c9ff55f6-0e4d-4c03-b2f4-f7060ba40dbe · outbound

This paper cites Adaptive real-time anomaly detec- tion with incremental clustering,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Adaptive real-time anomaly detec- tion with incremental clustering,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 55b6ca90-5a30-47e4-a676-b80ac9d0f782 · outbound

This paper cites Dynamic graph-based graph attention network for anomaly detection in industrial multivariate time series data,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Dynamic graph-based graph attention network for anomaly detection in industrial multivariate time series data,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c270af4a-6fee-4af0-9428-8629aebfd548 · outbound

This paper cites Graph contin- ual learning network: An incremental intelligent diagnosis method of machines for new fault detection,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Graph contin- ual learning network: An incremental intelligent diagnosis method of machines for new fault detection,

Reference 14

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raw_fallback, observed 2026-08-06T16:11:23.962458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c1b1160a-1b38-45be-9737-7972fdb3e763 · outbound

This paper cites The effectiveness of memory replay in large scale continual learning,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures The effectiveness of memory replay in large scale continual learning,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 48c56409-fe4c-485e-b4e1-38206100f75c · outbound

This paper cites Jensen-shannon divergence and hilbert space embedding,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Jensen-shannon divergence and hilbert space embedding,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 881efbce-4078-4c76-a7ad-ea72dae77057 · outbound

This paper cites Dynotears: Structure learning from time-series data,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Dynotears: Structure learning from time-series data,

Reference 17

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raw_fallback, observed 2026-08-06T16:11:23.485464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 4797b30d-8bff-4c2e-bd10-9f94996b1125 · outbound

This paper cites An end-to-end deep learning architecture for graph classification,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures An end-to-end deep learning architecture for graph classification,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 453d93f5-86f1-47ca-84ea-fa45cfa85642 · outbound

This paper cites Pyod: A python toolbox for scalable outlier detection,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Pyod: A python toolbox for scalable outlier detection,

Reference 19

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raw_fallback, observed 2026-08-06T16:11:23.167784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 94afc535-56a8-4f51-8e56-ec65fdc3873e · outbound

This paper cites Swat: a water treatment testbed for research and training on ics security,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Swat: a water treatment testbed for research and training on ics security,

Reference 20

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Source-reported events for the cited work

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Observation 25f23ab7-265c-47b6-ac94-a917825531a7 · outbound

This paper cites Wadi: a water distribution testbed for research in the design of secure cyber physical systems,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Wadi: a water distribution testbed for research in the design of secure cyber physical systems,

Reference 21

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Unavailable: canonical work link unavailable.

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Observation b11211a9-3bd7-4f96-aca3-175e33ad5f04 · outbound

This paper cites Tennessee eastman simulation dataset,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Tennessee eastman simulation dataset,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 98f201b8-b632-47a3-a3c2-adfd8f9ab1a7 · outbound

This paper cites Robust anomaly detection for multivariate time series through stochastic recurrent neural network,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Robust anomaly detection for multivariate time series through stochastic recurrent neural network,

Reference 23

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Source-reported events for the cited work

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Observation 5aa5375f-d472-4797-84ba-9ceaa66614ee · outbound

This paper cites An evaluation of anomaly detection and diagnosis in multivariate time series,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures An evaluation of anomaly detection and diagnosis in multivariate time series,

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 7f95f02b-1916-49e7-847d-495e8ce5eccf · outbound

This paper cites Usad: Unsupervised anomaly detection on multivariate time series,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Usad: Unsupervised anomaly detection on multivariate time series,

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 24be5889-5e92-4366-ad73-2418579408bd · outbound

This paper cites Deep autoencoding gaussian mixture model for unsupervised anomaly detection,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Deep autoencoding gaussian mixture model for unsupervised anomaly detection,

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 89214bc8-7a99-46cd-bcf7-58e1db51c79e · outbound

This paper cites Multivariate time-series anomaly detection via graph attention network,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Multivariate time-series anomaly detection via graph attention network,

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d88793c9-389f-4af8-b7b8-25bfdce1a6e2 · outbound

This paper cites An improved data anomaly detection method based on isolation forest,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures An improved data anomaly detection method based on isolation forest,

Reference 28

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raw_fallback, observed 2026-08-06T16:11:22.539681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 62ab7191-b256-4c74-aff3-da61cee078ab · outbound

This paper cites Loda: Lightweight on-line detector of anomalies,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Loda: Lightweight on-line detector of anomalies,

Reference 29

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no resolver link, observed 2026-08-06T16:10:33.039458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f45d4d8d-f365-4f3c-a301-286fd7de5f76 · outbound

This paper cites Angle-based outlier detection in high-dimensional data,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Angle-based outlier detection in high-dimensional data,

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:10:33.192458Z digest=sha256:f2104350da1b9f1bdfb188b5560e90cf4ea787ff3a5c08bba406605aec857a5d

Observation d283b605-f465-45c1-9e98-6e01f9efdc25 · outbound

This paper cites Anomaly detection using improved deep svdd model with data structure preservation,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Anomaly detection using improved deep svdd model with data structure preservation,

Reference 31

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raw_fallback, observed 2026-08-06T16:11:22.185222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T16:10:33.265005Z digest=sha256:af37a528b42f66a08b297eb8ce31ed457c9580c95dfd4d411cd2e6d8485f98fd

Observation a35a5a1d-394d-4487-bad0-2815c7bcb0c6 · outbound

This paper cites Causality learning: A new perspective for interpretable machine learning,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Causality learning: A new perspective for interpretable machine learning,

Reference 32

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raw_fallback, observed 2026-08-06T16:10:43.384090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 7fa4a3ad-3e4d-4241-b28e-2537cdff055c · outbound

This paper cites Dags with no tears: Continuous optimization for structure learning,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Dags with no tears: Continuous optimization for structure learning,

Reference 33

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raw_fallback, observed 2026-08-06T16:10:42.620685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T16:10:33.476785Z digest=sha256:131b281aa4039789559ebe874b8e448fce8de94667135aeba43d252d07e4bc12

Observation 78a511d0-b094-49ee-86b0-64bb69b803fc · outbound

This paper cites Outlier detection for temporal data: A survey,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Outlier detection for temporal data: A survey,

Reference 34

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raw_fallback, observed 2026-08-06T16:10:42.262507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T16:10:33.594563Z digest=sha256:f61f24f82239254db96b7d4084a76b8d4a3c65a13e4d65b3722b41df04cd0dc5

Observation 7913089d-b710-4b38-93d6-33e4adc0758f · outbound

This paper cites Deep learning for time series anomaly detection: A survey,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Deep learning for time series anomaly detection: A survey,

Reference 35

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unresolved
no resolver link, observed 2026-08-06T16:10:33.720784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:10:33.720784Z digest=sha256:03d21f1d97739bfd132836bc658bb252fbc2c262c115804572f388faf0bd9ca8

Observation b3a512d9-4416-472e-8c0a-f7435d0a06b0 · outbound

This paper cites Deep learning for anomaly detection in time-series data: Review, analysis, and guidelines,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Deep learning for anomaly detection in time-series data: Review, analysis, and guidelines,

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-06T16:10:42.043993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T16:10:33.802128Z digest=sha256:a854d3ce5f5030a2eb56f31f0acbbe3588274dedeb1e532f12ee7372531d124f

Observation 41e56f3b-2445-42fe-ba5b-74f62509b644 · outbound

This paper cites Robustness of autoen- coders for anomaly detection under adversarial impact,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Robustness of autoen- coders for anomaly detection under adversarial impact,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:41.906623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T16:10:33.897253Z digest=sha256:3a1c48602baeb8d9613559e12c5b3237dbc56b931d58ff1a9ce51744c6212c4e

Observation 46dc9223-9dfe-4a03-8522-012f3cc94060 · outbound

This paper cites A deep neural network for unsupervised anomaly detection and diagnosis in multivariate time series data,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures A deep neural network for unsupervised anomaly detection and diagnosis in multivariate time series data,

Reference 38

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unresolved
no resolver link, observed 2026-08-06T16:10:33.997177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:10:33.997177Z digest=sha256:bfa47f057e57c84a995a9760a8e03e287599aeefa41d7274e465c6c352f370c2

Observation 8f21bbb4-3f21-4876-ad10-a5b2a8c205a0 · outbound

This paper cites Context-aware domain adaptation for time series anomaly detection,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Context-aware domain adaptation for time series anomaly detection,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:41.769876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T16:10:34.089197Z digest=sha256:46561aed131a9fd3be430afdad1106147d039c667d79267d3bf55d082c9daa9d

Observation cc72cf46-d788-4cd0-8ec4-5df9e6749fdf · outbound

This paper cites an unresolved cited work.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Unresolved cited work

Reference 40

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T16:10:41.618765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T16:10:34.171841Z digest=sha256:7123ab5753b0ce8b3aa8a55dd85bd0d516a99fa00f12c3c8e12c48eaff1b1849

Observation 93d87fbc-d455-4203-a590-1d164939af1f · outbound

This paper cites Dct-gan: Dilated convolutional transformer-based gan for time series anomaly detection,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Dct-gan: Dilated convolutional transformer-based gan for time series anomaly detection,

Reference 41

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unresolved
no resolver link, observed 2026-08-06T16:10:34.324971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:10:34.324971Z digest=sha256:d12a8a33b60359110a608040fd744e5d045516699bc847891506235ea1131507

Observation 9536a126-a3d7-4ce9-9a07-76a43c583804 · outbound

This paper cites Graph anomaly detection in time series: A survey,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Graph anomaly detection in time series: A survey,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:41.460115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T16:10:34.688784Z digest=sha256:cec09d26f92c6b326482a892d8fef2fe853f3aa03540306bee1c5d818c81a9d7

Observation b81da720-69e8-4624-9e48-2dee0b6cf477 · outbound

This paper cites Deep into Hypersphere: Robust and Unsupervised Anomaly Discovery in Dynamic Networks,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Deep into Hypersphere: Robust and Unsupervised Anomaly Discovery in Dynamic Networks,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:41.293811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T16:10:34.823049Z digest=sha256:d940fb3927684f327a41967ecc7ebb9b9f6d7abebad768d5c896a57a9c5af3d5

Observation dcf532ec-2e9c-4365-8180-7521f95b9c3d · outbound

This paper cites Adversarial autoencoder for unsupervised time series anomaly detection and interpretation,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Adversarial autoencoder for unsupervised time series anomaly detection and interpretation,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T16:10:34.928303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:10:34.928303Z digest=sha256:a3d0a3315b9d212927ed487a3eb12eeb505792c4e40f66440b3e7ac25fe2d7ac

Observation 26795347-9ff1-4f19-8c5c-aec5fd8b0bfa · outbound

This paper cites Stackvae- g: An efficient and interpretable model for time series anomaly detection,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Stackvae- g: An efficient and interpretable model for time series anomaly detection,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:41.134621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T16:10:35.010856Z digest=sha256:317a2af9179c1b168308364184e2fdcc85f305efa221fbc1e88f9ed8eea32fbc

Observation b361afef-17b2-4cb1-a4b1-b8517fd2c47e · outbound

This paper cites Regraphgan: A graph generative adversarial network model for dynamic network anomaly detection,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Regraphgan: A graph generative adversarial network model for dynamic network anomaly detection,

Reference 46

Resolution
verified exact
doi, observed 2026-08-06T16:10:36.735055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T16:10:35.090013Z digest=sha256:eabc9beb8ad6a2bd9a8bbd89c82f2f4fcaf7796743448b41768ad96186ac3c80

Observation 5c839026-854a-4044-824e-ffcf29b01dfd · outbound

This paper cites Mim-gan-based anomaly detection for multivariate time series data,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Mim-gan-based anomaly detection for multivariate time series data,

Reference 47

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T16:10:37.757828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T16:10:35.167623Z digest=sha256:1f19ae9df89e40f884bcbb46c50977e3b7d893ca38a24c06f21cf02e8df6001b

Observation 4de136e1-be47-4773-bca1-6717a5768b81 · outbound

This paper cites Hybrid anomaly detection via multihead dynamic graph attention networks for multivariate time series,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Hybrid anomaly detection via multihead dynamic graph attention networks for multivariate time series,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:41.011203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T16:10:35.275573Z digest=sha256:6a2606ff1273234408d6f343eb2c84a00eb0115a35942d8738ec3f23a78f472d

Observation 48a8364a-c41e-4666-92c0-ca6504548bd9 · outbound

This paper cites Anomaly detection in dynamic graphs via transformer,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Anomaly detection in dynamic graphs via transformer,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:40.822694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T16:10:35.351434Z digest=sha256:a40504cf01cdd3f6bf7c0224b69f6d480b11b8383a923ee47fda9c8d34ec125d

Observation f3b2f8a1-4cb7-42c8-85c8-ecc05dbfea2d · outbound

This paper cites Generative and contrastive self-supervised learning for graph anomaly detection,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Generative and contrastive self-supervised learning for graph anomaly detection,

Reference 50

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unresolved
no resolver link, observed 2026-08-06T16:10:35.427669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:10:35.427669Z digest=sha256:b921b64b452e0d86eeeca58afbf238ccb3a9465c2cabff81c71129a3ce89b1d6

Observation c0217a02-04bc-496d-888e-00cee00baf54 · outbound

This paper cites Anomal-e: A self- supervised network intrusion detection system based on graph neural networks,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Anomal-e: A self- supervised network intrusion detection system based on graph neural networks,

Reference 51

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T16:10:37.516234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T16:10:35.526341Z digest=sha256:03dcd24733ba2d2b29248335b8938ba79a15d886e9605e481652ddc1c9b09c21

Observation 5e254281-73a0-48df-bec0-33b99aa3b289 · outbound

This paper cites Hierarchical graph neural networks for causal discovery and root cause localization,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Hierarchical graph neural networks for causal discovery and root cause localization,

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T16:10:35.630053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:10:35.630053Z digest=sha256:c4f1996645473d6b223a17e938a6b682deaa3bfd0add0c600f9f3a2146c84ccf

Observation fe96a08d-d144-4be0-8d70-360ce63758b7 · outbound

This paper cites A causal approach to detecting multivariate time-series anomalies and root causes,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures A causal approach to detecting multivariate time-series anomalies and root causes,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:40.671001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T16:10:35.748973Z digest=sha256:e700d142e2aae4a0048c05106be4e5a90ff6097b13844c85199513916683aeba

Observation afe61af8-e330-4fa0-a465-1134799314fa · outbound

This paper cites Semi- supervised anomaly detection via adaptive reinforcement learning- enabled method with causal inference for sensor signals,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Semi- supervised anomaly detection via adaptive reinforcement learning- enabled method with causal inference for sensor signals,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:40.444520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T16:10:35.829694Z digest=sha256:c0928fe8785f44c84b32c2f63fbdbedf14eaf3bb6a5f983ed174bd323487dc85

Observation d4a251b8-91f9-43f5-811f-3e86a4cd4668 · outbound

This paper cites Causal inference for time series analysis: problems, methods and evaluation,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Causal inference for time series analysis: problems, methods and evaluation,

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-06T16:10:35.936859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:10:35.936859Z digest=sha256:8d8f30ccec8b1aa6e6f76fb85f1c8c7190898c0e78627b92eac8e6b9eaa2d7b1

Observation 2508e22e-d2c7-4fe9-8732-17e3d5330041 · outbound

This paper cites Deep learning-based group causal inference in multivariate time-series,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Deep learning-based group causal inference in multivariate time-series,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:40.279903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T16:10:36.043409Z digest=sha256:0c46b9cf9a51b5a749fef02731c520e90aaebb020b04faf368043696a1d9b2d6

Observation 3a18a085-62ea-4e04-9798-a66a5df7cb64 · outbound

This paper cites Causal discovery with attention-based convolutional neural networks,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Causal discovery with attention-based convolutional neural networks,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:40.108591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T16:10:36.157316Z digest=sha256:3ecfbfd230b1d00c2aa9647879513aa178009dde50a1d3a8651d1dfe10921272

Observation 97dd2f52-8c4a-44ed-80cc-7adc40208cc6 · outbound

This paper cites Neural granger causality,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Neural granger causality,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:39.862825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T16:10:36.277711Z digest=sha256:7e4b77fa39c94a7f4da3062f9ad8b2cda9cc623037dee058cece74dafee8f5bf

Observation e71cf654-5566-44e6-a5dc-87dff8f2734f · outbound

This paper cites Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:39.577238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T16:10:36.400877Z digest=sha256:939f27130cc6c4e7b119071f762e5907c790e74011bef75f6dc330ca4e1bd51b

Observation 955f405a-da18-4345-8a4b-1b10353f4bb0 · outbound

This paper cites Causal inference on time series using structural equation models,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Causal inference on time series using structural equation models,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:39.293241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T16:10:36.473355Z digest=sha256:145798e97a68b9b6b9a537ed007e6fe82214add7cb13e65f6793996fccf5d1b9

Observation 95174ecd-3c20-4660-9eb2-93b6642963e6 · outbound

This paper cites Leveraging Causal Information for Multivariate Timeseries Anomaly Detection,.

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures Leveraging Causal Information for Multivariate Timeseries Anomaly Detection,

Reference 61

Resolution
verified exact
doi, observed 2026-08-06T16:10:38.987887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T16:10:36.556747Z digest=sha256:2747350779432029e1ae47d2b282ea1a830c533cfc0c2ed0993f218a2fbc146d

Pith citing papers

Observation 91c214ca-0db5-4104-b894-7d5a891fc38b · inbound

Mechanical Force-Driven Charge Redistribution for Hydrogen Release at Ambient Conditions in Transition Metal-Intercalated Bilayer Graphene cites this paper.

Mechanical Force-Driven Charge Redistribution for Hydrogen Release at Ambient Conditions in Transition Metal-Intercalated Bilayer Graphene Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-05T21:03:19.900237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T21:03:18.963109Z digest=sha256:4b781c541634f77268dc316b9b10fe5bb9d0d5def5078c33693660176b570fff