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Paper Citation Record · LEDGER

UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2402.13630.

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

pith.paper-citation-record.v1
2402.13630 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:38:27.933265Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T19:11:58.034874Z

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 832c3a0a-43ca-4a90-81dd-1818a70a208a · inbound

Graph2text or Graph2token: A Perspective of Large Language Models for Graph Learning cites this paper.

Graph2text or Graph2token: A Perspective of Large Language Models for Graph Learning UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T22:38:27.933265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:38:27.933265Z digest=sha256:fbf7530e5304d0c61861c5aa496d579c30b26751c56f4956168a42bb74bc2d5b

Observation 6ad8b10b-2b0e-4cc8-8d79-fe64f1e1c03c · inbound

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design cites this paper.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T14:01:38.348716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:01:38.348716Z digest=sha256:b44db2d8129cc92a0ab20b441542509ed354b1d72e50fb15238a640e04e08f7a

Observation 3570c841-75ee-4ff6-a98b-b1f350c7f4ab · inbound

UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs cites this paper.

UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-09T17:44:03.830499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:44:03.830499Z digest=sha256:dfecebd9184f69ec04a5f41bb5828709129e1261b6b56d1cac10cde15e87f4c1

Observation a2f74db5-f075-46f4-94f2-c7dc9ba91cc5 · inbound

Robustness via Referencing: Defending against Prompt Injection Attacks by Referencing the Executed Instruction cites this paper.

Robustness via Referencing: Defending against Prompt Injection Attacks by Referencing the Executed Instruction UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-22T19:11:58.036641Z

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.

source=pdf_text observed=2026-05-22T19:10:55.009810Z digest=sha256:656bdfd4c7868eb64ed1a80f9a5f16ecd24117f575e3d99753c26ff2d2097226

Observation 9280f8bb-4721-4da4-9834-70991746759a · inbound

MLaGA: Multimodal Large Language and Graph Assistant cites this paper.

MLaGA: Multimodal Large Language and Graph Assistant UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T11:26:41.140015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:26:41.140015Z digest=sha256:191f60514144a6621cb7c2755570bee20abe6a7639ab5c7ae83f075f67a669af

Observation 7d041a5d-a660-4683-9108-e9ecf7d4d6eb · inbound

H$^2$GFM: Towards unifying Homogeneity and Heterogeneity on Text-Attributed Graphs cites this paper.

H$^2$GFM: Towards unifying Homogeneity and Heterogeneity on Text-Attributed Graphs UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T05:21:34.696192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:21:34.696192Z digest=sha256:76ed382816bd0fec379c7e156eded66cc99af28889ec6ca769ac070688eb9135

Observation da00aa21-262f-426c-9057-6b950f8e21c8 · inbound

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models cites this paper.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-03T23:37:55.544673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:37:55.544673Z digest=sha256:39a2d0cbeeea212bb16c7934752d513726226c604c4ad90068b466560658a748

Observation 6fcc305a-6a45-4eea-b4a1-dbcdb38d8e7f · inbound

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

Bridging Input Feature Spaces Towards Graph Foundation Models UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:41:08.771515Z

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.

source=pdf_text observed=2026-05-08T17:18:21.259797Z digest=sha256:47a9b11568319ff879c410c811a2bc2c1e7656721c558a3ac346071e403b7663

Observation f490be06-2b68-408c-8d61-ddfed1d756f0 · inbound

Attacking Graph Foundation Models Through Their Shared Representation cites this paper.

Attacking Graph Foundation Models Through Their Shared Representation UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-01T15:05:32.307802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:05:32.307802Z digest=sha256:f0b823e44f59506be07e7dfd921b0fc4b5b4b5bcddf7a72056f3c30d97cfd109