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Paper Citation Record · LEDGER

Graph Neural Networks Use Graphs When They Shouldn't

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2309.04332.

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

pith.paper-citation-record.v1
2309.04332 v2

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 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T21:14:05.124876Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T16:38:11.117853Z

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 24141e1c-4d08-45c5-a54b-eba2e0a543d9 · inbound

Graph Rewiring in GNNs to Mitigate Over-Squashing and Over-Smoothing: A Survey cites this paper.

Graph Rewiring in GNNs to Mitigate Over-Squashing and Over-Smoothing: A Survey Graph Neural Networks Use Graphs When They Shouldn't

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-23T16:38:11.121026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T16:38:04.382748Z digest=sha256:71f8de5e3c374820a78f929eaf684ecb26999dcec4bb27ed521fb6e84bba3333

Observation fb06b2c3-9ea2-440f-8b81-fd3b6277ba16 · inbound

A Metric for the Balance of Information in Graph Learning cites this paper.

A Metric for the Balance of Information in Graph Learning Graph Neural Networks Use Graphs When They Shouldn't

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-09T21:14:05.124876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:14:05.124876Z digest=sha256:bc2b0da46fbb854155291afc8d2672483cab954f921eda0db4a457ce1b0dea0c

Observation c037ef5f-fbd6-436f-bbf4-c026148e374e · inbound

Beyond Topological Self-Explainable GNNs: A Formal Explainability Perspective cites this paper.

Beyond Topological Self-Explainable GNNs: A Formal Explainability Perspective Graph Neural Networks Use Graphs When They Shouldn't

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-09T11:32:26.697502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:32:26.697502Z digest=sha256:191f103f8b1d01fed929c959ba1a98bcb2dd821eebf547416f88ec2c4405dc29

Observation ddae7c0a-ef68-4c65-babb-3b0f53892f08 · inbound

Dynamical Lie Algebras Cannot Describe Shallow QAOA: Cragged Terrains, Barren Plateaus, and Empirical Hardness Models cites this paper.

Dynamical Lie Algebras Cannot Describe Shallow QAOA: Cragged Terrains, Barren Plateaus, and Empirical Hardness Models Graph Neural Networks Use Graphs When They Shouldn't

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-08T00:10:34.742168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:10:34.742168Z digest=sha256:264ffc0eaf8a94433609873b1d1686351a50cc308c894d53b125f250aebc9cb7