Paper Citation Record · LEDGER

GPML: Graph Processing for Machine Learning

As of 18 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 1 inbound Pith citation observation for arXiv:2505.08964.

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

pith.paper-citation-record.v1
2505.08964 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:46:48.640516Z

measured 15 of 15 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 2026-07-08T20:04:30.942032Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T20:05:33.989175Z

Reference resolution

14 of 14 outbound references displayed

verified exact0
verified fuzzy13
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4b07ac79-7ace-4946-9cde-22050a9121fe · outbound

This paper cites Ne-gconv: A lightweight node edge graph convolutional network for intrusion detection.

GPML: Graph Processing for Machine Learning Ne-gconv: A lightweight node edge graph convolutional network for intrusion detection

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:46:48.889156Z

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.

Observation 873565d8-4b1b-4bc3-93f2-5ca4e23c52e8 · outbound

This paper cites Networkx: Network analysis with python.

GPML: Graph Processing for Machine Learning Networkx: Network analysis with python

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:46:48.875469Z

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.

Observation 01c68454-76cf-46b3-9c80-29578a67a8cf · outbound

This paper cites Graph-based spectral analysis for detecting cyber attacks.

GPML: Graph Processing for Machine Learning Graph-based spectral analysis for detecting cyber attacks

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:46:48.860473Z

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.

Observation e0bc2b66-29d3-4470-9d94-d4f07a371d18 · outbound

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

GPML: Graph Processing for Machine Learning Towards the development of realistic botnet dataset in the internet of things for network forensic analytics: Bot-iot dataset

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:46:48.846691Z

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.

Observation 28a3cd3c-9af3-4e40-b8c2-c3048099027b · outbound

This paper cites Limitations of signature-based threat detection.

GPML: Graph Processing for Machine Learning Limitations of signature-based threat detection

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:46:48.833138Z

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.

Observation 66dca647-f34b-4e09-b5fa-7e39efb74b81 · outbound

This paper cites Graphsage-based traffic speed fore- casting for segment network with sparse data.

GPML: Graph Processing for Machine Learning Graphsage-based traffic speed fore- casting for segment network with sparse data

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:46:48.818365Z

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.

Observation d61fba80-b9a3-4fed-a1a5-58ccedbd46e0 · outbound

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

GPML: Graph Processing for Machine Learning E-graphsage: A graph neural network based intrusion detection system for iot

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:46:48.803917Z

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.

Observation 804e7eaf-d811-4f6d-a7f6-85e14f9e3f8f · outbound

This paper cites pandas: a foundational python library for data analysis and statistics.

GPML: Graph Processing for Machine Learning pandas: a foundational python library for data analysis and statistics

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T21:46:48.611973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 107259aa-9212-4b28-80d6-8f01c1ea074f · outbound

This paper cites A new distributed architecture for evaluating ai-based security systems at the edge: Network ton iot datasets.

GPML: Graph Processing for Machine Learning A new distributed architecture for evaluating ai-based security systems at the edge: Network ton iot datasets

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:46:48.774700Z

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.

Observation 39f15ffa-18d6-4f90-a779-74b35bce9c71 · outbound

This paper cites Multi-aspect rule-based ai: Methods, taxonomy, challenges and directions toward automation, intelligence and transparent cybersecurity modeling for critical infras- tructures.

GPML: Graph Processing for Machine Learning Multi-aspect rule-based ai: Methods, taxonomy, challenges and directions toward automation, intelligence and transparent cybersecurity modeling for critical infras- tructures

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:46:48.754999Z

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.

Observation 685f7d8c-2d77-46d4-926e-4c9e3a3fc01b · outbound

This paper cites Alert fatigue in security operations centres: Research challenges and opportunities.ACM Computing Surveys, 2025.

GPML: Graph Processing for Machine Learning Alert fatigue in security operations centres: Research challenges and opportunities.ACM Computing Surveys, 2025

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:46:48.737670Z

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.

Observation e92dc776-8b18-4318-b058-bcb43f089506 · outbound

This paper cites A survey on various cyber attacks and their classification.

GPML: Graph Processing for Machine Learning A survey on various cyber attacks and their classification

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:46:48.721739Z

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.

Observation dfac64c2-3e4a-4c2a-99b8-c81cd6be047d · outbound

This paper cites A comprehensive survey on graph neural networks.IEEE transactions on neural networks and learning systems , 32(1):4–24, 2020.

GPML: Graph Processing for Machine Learning A comprehensive survey on graph neural networks.IEEE transactions on neural networks and learning systems , 32(1):4–24, 2020

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:46:48.706959Z

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.

Observation af6cd08a-72f5-4d3d-b158-c91975ab5f4d · outbound

This paper cites Defining and evaluating network communities based on ground-truth.

GPML: Graph Processing for Machine Learning Defining and evaluating network communities based on ground-truth

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:46:48.686993Z

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.

Pith citing papers

Observation 6d9456d5-99d9-4981-8ea5-9fc3ce9406ce · inbound

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation cites this paper.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation GPML: Graph Processing for Machine Learning

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-07-08T20:05:33.990873Z

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.