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Paper Citation Record · LEDGER

GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.10329.

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

pith.paper-citation-record.v1
2410.10329 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:48:03.496971Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T09:45:40.689565Z

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 26eee223-e313-4723-ba1d-f6d9efd67509 · inbound

Transferable and Forecastable User Targeting Foundation Model cites this paper.

Transferable and Forecastable User Targeting Foundation Model GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-11T14:07:53.425282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:07:53.425282Z digest=sha256:19f260a16e9729c120bb7ec8021223c0d5f40a8d031a7e7e30aa6555a4014bf2

Observation 7036490e-642d-4823-bc4a-d13ecce25a25 · inbound

Generative Multimodal Pretraining with Discrete Diffusion Timestep Tokens cites this paper.

Generative Multimodal Pretraining with Discrete Diffusion Timestep Tokens GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs

Reference 99

Resolution
unresolved
no resolver link, observed 2026-08-16T11:48:03.496971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:48:03.496971Z digest=sha256:f750ad7631307881399322b16076723b5b4859e9ff6f03b2bdbf5596f2389ebe

Observation 6565b03f-f39b-49ea-80af-81feb0df7571 · inbound

GLIP-OOD: Zero-Shot Graph OOD Detection with Graph Foundation Model cites this paper.

GLIP-OOD: Zero-Shot Graph OOD Detection with Graph Foundation Model GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-16T05:16:29.469985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:16:29.469985Z digest=sha256:7acb1b81f10c16df5e3c979f9875ae0acadd2b6bc5c9aea740940fd38353872d

Observation c1cfee46-32cf-4ea5-ad24-4b7db79ab5f9 · inbound

Relation-Aware Graph Foundation Model cites this paper.

Relation-Aware Graph Foundation Model GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-15T20:48:05.688755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:48:05.688755Z digest=sha256:77c0ebb778f29563500d1675101b4667b5f420ef4347a8666641d16ea5cebfe7

Observation 5b84655e-879c-4324-8f73-00c0d764c673 · inbound

FedLAB: Traceable Semantic Codebooks for Federated Multimodal Graph Foundation Learning cites this paper.

FedLAB: Traceable Semantic Codebooks for Federated Multimodal Graph Foundation Learning GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs

Reference 242

Resolution
verified exact
arxiv_id, observed 2026-07-01T09:45:40.691120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-07-01T06:10:26.634933Z digest=sha256:d4889716419e65ad98bb7aa7fd0f2454bed0837fff828004a24524cec4f66b2d

Observation 6aae8c2b-f34d-4495-9ff5-b707428232b9 · inbound

When Does Explicit View Routing Work? A Controlled Study of Multi-View Graph-Text Alignment cites this paper.

When Does Explicit View Routing Work? A Controlled Study of Multi-View Graph-Text Alignment GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T06:18:16.427036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T06:18:16.427036Z digest=sha256:6e7636973a9a0a23a0c9648cfb1d79fd6b51188da61753141ce7c8f2b2a44424