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Paper Citation Record · LEDGER

How Expressive are Knowledge Graph Foundation Models?

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.13339.

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

pith.paper-citation-record.v1
2502.13339 v2

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 2026-06-30T20:28:41.778793Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T20:35:02.840940Z

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 687e4c71-6fb8-4cb2-b2fb-0e9614ad6528 · inbound

Bridging Input Feature Spaces Towards Graph Foundation Models cites this paper.

Bridging Input Feature Spaces Towards Graph Foundation Models How Expressive are Knowledge Graph Foundation Models?

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:41:08.740337Z

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=2026-05-08T17:18:21.259797Z digest=sha256:828d87a9d3891007f31a2bacaa475cca67e906f125376b277c4e0004f64c971a

Observation 4994d16a-ff32-4be3-99b7-84a3056c53ab · inbound

KGPFN: Unlocking the Potential of Knowledge Graph Foundation Model via In-Context Learning cites this paper.

KGPFN: Unlocking the Potential of Knowledge Graph Foundation Model via In-Context Learning How Expressive are Knowledge Graph Foundation Models?

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-06-30T20:35:02.842571Z

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=2026-06-30T20:28:41.778793Z digest=sha256:45b6d7004c360f510e4d4316ea9b49242a72fc4137bafd4cd533c6052808261b