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Paper Citation Record · LEDGER

Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.02017.

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

pith.paper-citation-record.v1
2502.02017 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 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T16:12:20.234760Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T16:56:06.559446Z

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 57ba74e1-2000-4384-83e9-88aa1f686b39 · inbound

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding cites this paper.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:55.221271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:55.221271Z digest=sha256:15c009b12f6b7c356b590c7b0a8fbe937e1e403f46ca86e46417e7269bbff401

Observation cbb6522d-6a40-460a-b26e-57f4451ddb6f · inbound

Empowering Heterogeneous Graph Foundation Models via Decoupled Relation Alignment cites this paper.

Empowering Heterogeneous Graph Foundation Models via Decoupled Relation Alignment Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:56:06.561918Z

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=2026-05-09T14:30:55.764387Z digest=sha256:849fff8222951594c0929e10178f2633b43daf6bd2b0b529a8ee4f65aa50dc26

Observation b1718545-f557-45a8-aecf-ee9b04a6c74e · inbound

Beyond Feature and Structure Alignment: Learning Transferable Propagation Knowledge for Graph Foundation Models cites this paper.

Beyond Feature and Structure Alignment: Learning Transferable Propagation Knowledge for Graph Foundation Models Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-03T16:12:20.234760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:12:20.234760Z digest=sha256:8e02ba8e73f61389a506cfa4b961b15b707bfbf2fcebc5d2ba3817cdedd88c31