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Paper Citation Record · LEDGER

Graph-based Solutions with Residuals for Intrusion Detection: the Modified E-GraphSAGE and E-ResGAT Algorithms

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2111.13597.

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

pith.paper-citation-record.v1
2111.13597 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:03:56.857735Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T17:28:41.718197Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7fc69e7b-42ad-44a4-9194-998fb8ff59b8 · inbound

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks cites this paper.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks Graph-based Solutions with Residuals for Intrusion Detection: the Modified E-GraphSAGE and E-ResGAT Algorithms

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T22:03:56.857735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:03:56.857735Z digest=sha256:16c8591e2fd213673be1b3be8b5f5b26dc5e99fa21806799fa14dc297fb36abb

Observation 24b138db-9b6b-41ba-98c3-95d016b05204 · inbound

Network Risk Estimation: A Risk Estimation Paradigm for Cyber Networks cites this paper.

Network Risk Estimation: A Risk Estimation Paradigm for Cyber Networks Graph-based Solutions with Residuals for Intrusion Detection: the Modified E-GraphSAGE and E-ResGAT Algorithms

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T12:58:44.630999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T12:58:44.630999Z digest=sha256:ff89ce2ca3f923eb8a8bf319faf0ceaa9115745a08ad3f7f206f6aecab8c4d9e

Observation 0f0cbfa3-1e3b-4c26-af5d-02b94a87bdf3 · inbound

Few Edges Are Enough: Few-Shot Network Attack Detection with Graph Neural Networks cites this paper.

Few Edges Are Enough: Few-Shot Network Attack Detection with Graph Neural Networks Graph-based Solutions with Residuals for Intrusion Detection: the Modified E-GraphSAGE and E-ResGAT Algorithms

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T05:28:20.948036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:28:20.948036Z digest=sha256:4ec1b8847fff1576491cdfae6c5a8a9f460d2d9b45682bf058acb95833e2949e

Observation ca505cbe-486d-4802-8ec6-d3e44ea284d9 · inbound

REAL-IoT: Characterizing GNN Intrusion Detection Robustness under Practical Adversarial Attack cites this paper.

REAL-IoT: Characterizing GNN Intrusion Detection Robustness under Practical Adversarial Attack Graph-based Solutions with Residuals for Intrusion Detection: the Modified E-GraphSAGE and E-ResGAT Algorithms

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:28:41.772186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T17:28:35.244597Z digest=sha256:5e225cf93ae28244bebe70ff2fdcf05e28dd2239853d332e244b318752148f61