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Paper Citation Record · LEDGER

Ethereum Fraud Detection with Heterogeneous Graph Neural Networks

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2203.12363.

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

pith.paper-citation-record.v1
2203.12363 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T19:43:02.198818Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T23:14:02.133338Z

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 ee5f6ba7-d104-42f2-a49f-da2988406f36 · inbound

AI Generalisation Gap In Comorbid Sleep Disorder Staging cites this paper.

AI Generalisation Gap In Comorbid Sleep Disorder Staging Ethereum Fraud Detection with Heterogeneous Graph Neural Networks

Reference 33

Resolution
unresolved
no resolver link, observed 2026-07-13T19:43:02.198818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T19:43:02.198818Z digest=sha256:6eda0a40a3f95ea55b584917b02a1034698a1154220b2583e9c1e89d203afda5

Observation ed18704e-aa6d-490d-b0eb-eaf8ec81cb71 · inbound

Provably Communication-Efficient and Privacy-Preserving Federated Graph Neural Networks cites this paper.

Provably Communication-Efficient and Privacy-Preserving Federated Graph Neural Networks Ethereum Fraud Detection with Heterogeneous Graph Neural Networks

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-06-29T23:14:02.134809Z

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.

source=pdf_text observed=2026-06-29T23:04:43.841278Z digest=sha256:ceac3accaffbc4e046ffbdbac9c43a62250d320fbc19bece9361cee6bbff524b