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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 8 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 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:01:38.348716Z

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 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=sha256:37f52058537830581ee3e3731a542ccea611048f62ac11307fbfa22a8eaeeb3e

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:f765ba8aff4c78aceb0187bb584ce37be3d5144fa30f73f56f1dc98a34e49d5c

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=sha256:2671ce22f7604f2e0bf2bbe43f8ba0503c8ba15fa971faa13f1b5f881f0ab5af

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:bf57a34fe54a917887282640194fb685de3d02925e8ded444002ad1130705726

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:b2bfc361783910e5543f65d087bfea60fc2d73c7b3471ab205c0dd99d29a4593

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=sha256:0e7042352d07708f14d8d5222d1f78d22098ee1af7644a3a7cb63162d9459485

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=sha256:3c38c9c55363d963a5ae798047ca786dd365c55c5568b0bd519c96674ab2387b

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:c954e9b8820e59d14544c8831c42c2bb74c8d40d1a93aa24c14f237567775d7a