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Paper Citation Record · LEDGER

Global Attention Improves Graph Networks Generalization

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2006.07846.

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

pith.paper-citation-record.v1
2006.07846 v2

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 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-30T23:40:06.752628Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T12:46:23.295848Z

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 942eac43-9b57-45e5-84b0-004a1cf6ea1a · inbound

Adaptive Canonicalization with Application to Invariant Anisotropic Geometric Networks cites this paper.

Adaptive Canonicalization with Application to Invariant Anisotropic Geometric Networks Global Attention Improves Graph Networks Generalization

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-18T12:46:23.300839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T12:45:28.458804Z digest=sha256:239b226f490d1fd13de6b8e5c9266cd3fe76c03ed5a029c0bcce85388ca7ee34

Observation 5c9aec46-6d22-4bc6-bccc-a09bb3634865 · inbound

Towards Systematic Generalization for Power Grid Optimization Problems cites this paper.

Towards Systematic Generalization for Power Grid Optimization Problems Global Attention Improves Graph Networks Generalization

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:21:08.538057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-09T17:20:33.456156Z digest=sha256:8d6a78091786f3564ad012bd85de3afb53e185325eac6da975a244482c51341d

Observation f97761bf-e5e1-4ba3-a628-87d054c84277 · 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 Global Attention Improves Graph Networks Generalization

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-30T23:40:06.752628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T23:40:06.752628Z digest=sha256:dd99f068fee0a1f96e56be27cf01123e36048e3ddb26f766b6a22f036b8727cc