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Paper Citation Record · LEDGER

Theory of Graph Neural Networks: Representation and Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2204.07697.

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

pith.paper-citation-record.v1
2204.07697 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:03:59.546414Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T03:24:12.979200Z

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 71d4e91b-96f6-4020-accc-ec33765f94e7 · inbound

Weisfeiler and Leman Go Gambling: Why Expressive Lottery Tickets Win cites this paper.

Weisfeiler and Leman Go Gambling: Why Expressive Lottery Tickets Win Theory of Graph Neural Networks: Representation and Learning

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T11:03:59.546414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:03:59.546414Z digest=sha256:7cacb29364dbc1fde5fb0686960268b43d1b2195a164747eef50170bfdb32373

Observation b465a15c-269d-45c1-be0d-c6d0971b884f · inbound

Boundary Degree as a Node-level Feature for Epidemic Scenario Identification in Agent-based Cascade Simulations cites this paper.

Boundary Degree as a Node-level Feature for Epidemic Scenario Identification in Agent-based Cascade Simulations Theory of Graph Neural Networks: Representation and Learning

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-06-30T03:24:12.980665Z

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=2026-06-30T01:38:45.306355Z digest=sha256:4769899f41a804eab4c00e7d04a09a5f97597584e250cac19f85da59a47c2d71

Observation 4e58977c-5123-4496-bbe9-c3c8bff0bb29 · inbound

Boundary Degree as a Node-level Feature for Epidemic Scenario Identification in Agent-based Cascade Simulations cites this paper.

Boundary Degree as a Node-level Feature for Epidemic Scenario Identification in Agent-based Cascade Simulations Theory of Graph Neural Networks: Representation and Learning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-12T10:53:12.299848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T10:53:12.299848Z digest=sha256:320f27f18e10edc551c2d926adf2f96e70297355e62b9f4046f92c6a387cf0d7