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Paper Citation Record · LEDGER

Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.12609.

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

pith.paper-citation-record.v1
2410.12609 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T21:59:23.083285Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T17:41:08.720598Z

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 ca6088ee-432f-45f8-810e-caf85ac1e340 · inbound

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

Bridging Input Feature Spaces Towards Graph Foundation Models Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:41:08.727335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T17:18:21.259797Z digest=sha256:98ae8463fcb05a52a1c5c31b0cb741b19cf236f37e86269e42a1856c1e9311ff

Observation b517028f-9e28-49c8-8980-4cf0c925bbac · inbound

What Makes Graph Unified? Principles and Generative Sliding-Window Transformer for Graph Foundation Models cites this paper.

What Makes Graph Unified? Principles and Generative Sliding-Window Transformer for Graph Foundation Models Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs

Reference 30

Resolution
unresolved
no resolver link, observed 2026-07-31T21:59:23.083285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T21:59:23.083285Z digest=sha256:4685789478aa5a49b2d848a96fc9e2872866f581f93b32e5a403eb879a90f671