Paper Citation Record · LEDGER

The Surprising Power of Graph Neural Networks with Random Node Initialization

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2010.01179.

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

pith.paper-citation-record.v1
2010.01179 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:23:12.369165Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:09:44.376040Z

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 8449f421-8e28-498f-b8c7-f051ac276bad · inbound

Chordless Structure: A Pathway to Simple and Expressive GNNs cites this paper.

Chordless Structure: A Pathway to Simple and Expressive GNNs The Surprising Power of Graph Neural Networks with Random Node Initialization

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T14:23:12.369165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61feebdb-84ea-42d3-bfd8-c862258f6ccc · inbound

Future Link Prediction Without Memory or Aggregation cites this paper.

Future Link Prediction Without Memory or Aggregation The Surprising Power of Graph Neural Networks with Random Node Initialization

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:36.259417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5080a19b-6f90-4734-a590-67b45fed7b1b · inbound

Bridging Theory and Practice in Link Representation with Graph Neural Networks cites this paper.

Bridging Theory and Practice in Link Representation with Graph Neural Networks The Surprising Power of Graph Neural Networks with Random Node Initialization

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T21:35:07.823368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2964fbf8-2991-4fae-9d1c-2852aa207d34 · inbound

Heat Kernel Goes Topological cites this paper.

Heat Kernel Goes Topological The Surprising Power of Graph Neural Networks with Random Node Initialization

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T16:55:21.206977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16fb38a1-ff67-4f07-94a0-d292abb9066e · inbound

Learning the Neighborhood: Contrast-Free Multimodal Self-Supervised Molecular Graph Pretraining cites this paper.

Learning the Neighborhood: Contrast-Free Multimodal Self-Supervised Molecular Graph Pretraining The Surprising Power of Graph Neural Networks with Random Node Initialization

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T14:56:47.935962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e289fde4-4c94-4b70-99a1-778d84415b09 · inbound

Collapsed Effective Operators for Higher-order Structures cites this paper.

Collapsed Effective Operators for Higher-order Structures The Surprising Power of Graph Neural Networks with Random Node Initialization

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:09:44.377611Z

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.

Observation fad5cb2e-c2b2-4873-958a-adb17d2b68b0 · inbound

Universality and Approximation Rates of Graph Neural Networks with Random Features cites this paper.

Universality and Approximation Rates of Graph Neural Networks with Random Features The Surprising Power of Graph Neural Networks with Random Node Initialization

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-30T23:40:06.655042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.