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Paper Citation Record · LEDGER

Are You Using Reliable Graph Prompts? Trojan Prompt Attacks on Graph Neural Networks

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.13974.

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

pith.paper-citation-record.v1
2410.13974 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:53:48.064254Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T04:52:23.417941Z

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 ec1be6d0-c020-4545-9ec4-81f4934bda75 · inbound

Stealing Training Graphs from Graph Neural Networks cites this paper.

Stealing Training Graphs from Graph Neural Networks Are You Using Reliable Graph Prompts? Trojan Prompt Attacks on Graph Neural Networks

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-12T18:53:48.064254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:53:48.064254Z digest=sha256:f083b41fef623d67c81e97145dfa8d16505d4736b5b72e75d11dd7eb1d20b0ff

Observation 8cfcd7c2-31f0-4783-9438-4d08701f8ad2 · inbound

Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs cites this paper.

Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs Are You Using Reliable Graph Prompts? Trojan Prompt Attacks on Graph Neural Networks

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T12:42:40.782740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:42:40.782740Z digest=sha256:f081951b8b175488a0cda86537073ea5c886dcc96ac711a514eca5f4c818d5a4

Observation 929223cd-4dcd-45eb-b381-43ac4e0926d5 · inbound

Graph Prompting for Graph Learning Models: Recent Advances and Future Directions cites this paper.

Graph Prompting for Graph Learning Models: Recent Advances and Future Directions Are You Using Reliable Graph Prompts? Trojan Prompt Attacks on Graph Neural Networks

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T05:17:16.961564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:17:16.961564Z digest=sha256:e952a6b0b8de9fc9a20b55605c151f224c0c48dd339fe823d9df6c4fc1f26051

Observation a5f8c056-27fd-4e87-9029-25532924062f · inbound

Cross-Paradigm Graph Backdoor Attacks with Promptable Subgraph Triggers cites this paper.

Cross-Paradigm Graph Backdoor Attacks with Promptable Subgraph Triggers Are You Using Reliable Graph Prompts? Trojan Prompt Attacks on Graph Neural Networks

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:52:23.420041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-18T04:51:23.281272Z digest=sha256:3fbb9b0dd6fe57928b238cfd6861ecf4c544b3ea30ae57ab02d0cef602928c93

Observation 14985a44-fb4c-427e-ad88-99902c4ea309 · inbound

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

Attacking Graph Foundation Models Through Their Shared Representation Are You Using Reliable Graph Prompts? Trojan Prompt Attacks on Graph Neural Networks

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-01T15:05:36.626459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:05:36.626459Z digest=sha256:35de37f0771199203a68109fb605a71a84caaba5aca6bb9044effbb16af22687