Paper Citation Record · LEDGER

Poster: Enhancing GNN Robustness for Network Intrusion Detection via Agent-based Analysis

As of 7 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2506.20806.

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

pith.paper-citation-record.v1
2506.20806 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:47:09.164255Z

measured 14 of 14 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

14 of 14 outbound references displayed

verified exact1
verified fuzzy5
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1ec3b5d1-9545-4c8c-93b7-3f71df3e7c9b · outbound

This paper cites Insomnia: Towards concept-drift robustness in network intrusion detection,.

Poster: Enhancing GNN Robustness for Network Intrusion Detection via Agent-based Analysis Insomnia: Towards concept-drift robustness in network intrusion detection,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T22:47:09.133286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f00f995-29cc-449e-a080-f75777e57549 · outbound

This paper cites Unsw-nb15: a comprehensive data set for network intrusion detection systems (unsw-nb15 network data set),.

Poster: Enhancing GNN Robustness for Network Intrusion Detection via Agent-based Analysis Unsw-nb15: a comprehensive data set for network intrusion detection systems (unsw-nb15 network data set),

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T22:47:09.136042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 433e8c2c-feee-46f7-8ce4-5e3b5138e984 · outbound

This paper cites Toward generating a new intrusion detection dataset and intrusion traffic characterization.

Poster: Enhancing GNN Robustness for Network Intrusion Detection via Agent-based Analysis Toward generating a new intrusion detection dataset and intrusion traffic characterization

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:47:09.259829Z

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 e870322f-7588-4bd9-a108-b70fc48274ea · outbound

This paper cites Towards the development of realistic botnet dataset in the internet of things for network forensic analytics: Bot-iot dataset,.

Poster: Enhancing GNN Robustness for Network Intrusion Detection via Agent-based Analysis Towards the development of realistic botnet dataset in the internet of things for network forensic analytics: Bot-iot dataset,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T22:47:09.140443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f18915e1-7a6a-44bf-b8d8-c98aa3d5dbbf · outbound

This paper cites E- graphsage: A graph neural network based intrusion detection system for iot,.

Poster: Enhancing GNN Robustness for Network Intrusion Detection via Agent-based Analysis E- graphsage: A graph neural network based intrusion detection system for iot,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:47:09.249134Z

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 986c77c1-4891-48b0-93f0-7cfffa884bdc · outbound

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

Poster: Enhancing GNN Robustness for Network Intrusion Detection via Agent-based Analysis Anomal-e: A self- supervised network intrusion detection system based on graph neural networks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:47:09.242627Z

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 dd5918c2-3556-4ae0-aa21-2953344bb984 · outbound

This paper cites CAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network for Network Intrusion Detection.

Poster: Enhancing GNN Robustness for Network Intrusion Detection via Agent-based Analysis CAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network for Network Intrusion Detection

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T22:47:09.148112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b24c9f2e-bbc9-4fe7-998f-ef6942d7e032 · outbound

This paper cites Towards more practical adversarial attacks on graph neural networks,.

Poster: Enhancing GNN Robustness for Network Intrusion Detection via Agent-based Analysis Towards more practical adversarial attacks on graph neural networks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:47:09.235311Z

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 a37689f4-b5b6-4290-b0d7-08c6fde51b04 · outbound

This paper cites Iotsafe: Enforcing safety and security policy withreal iot physical interaction discovery,.

Poster: Enhancing GNN Robustness for Network Intrusion Detection via Agent-based Analysis Iotsafe: Enforcing safety and security policy withreal iot physical interaction discovery,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:47:09.228605Z

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 de860059-8930-4811-a772-1f5054d2c0a5 · outbound

This paper cites Security Testbed for the Internet of Things.

Poster: Enhancing GNN Robustness for Network Intrusion Detection via Agent-based Analysis Security Testbed for the Internet of Things

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:47:09.214836Z

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 1ded4d63-c0c7-4079-9ab6-afd8da0a75c8 · outbound

This paper cites Are We There Yet? Unraveling the State-of-the-Art Graph Network Intrusion Detection Systems.

Poster: Enhancing GNN Robustness for Network Intrusion Detection via Agent-based Analysis Are We There Yet? Unraveling the State-of-the-Art Graph Network Intrusion Detection Systems

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T22:47:09.156641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d03f8bf-8624-492b-8ec4-0d2e38d5c09e · outbound

This paper cites Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning.

Poster: Enhancing GNN Robustness for Network Intrusion Detection via Agent-based Analysis Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T22:47:09.158971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c82426ad-011e-4a48-a2d6-a6836d30c819 · outbound

This paper cites TrustRAG: Enhancing Robustness and Trustworthiness in Retrieval-Augmented Generation.

Poster: Enhancing GNN Robustness for Network Intrusion Detection via Agent-based Analysis TrustRAG: Enhancing Robustness and Trustworthiness in Retrieval-Augmented Generation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T22:47:09.161897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 684b970f-1123-4ca1-bc7d-c25d6e372ce3 · outbound

This paper cites Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?.

Poster: Enhancing GNN Robustness for Network Intrusion Detection via Agent-based Analysis Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T22:47:09.164255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.