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Paper Citation Record · LEDGER

PSP: Pre-Training and Structure Prompt Tuning for Graph Neural Networks

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.17394.

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

pith.paper-citation-record.v1
2310.17394 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:12:02.251399Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T15:02:32.808532Z

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 190748b9-0e80-454b-9a11-4fa9857f9751 · inbound

GraphTheft: Quantifying Privacy Risks in Graph Prompt Learning cites this paper.

GraphTheft: Quantifying Privacy Risks in Graph Prompt Learning PSP: Pre-Training and Structure Prompt Tuning for Graph Neural Networks

Reference 57

Resolution
verified exact
local_arxiv, observed 2026-08-12T15:02:32.814383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:02:32.453897Z digest=sha256:908a955c170c86f8e80df4e79d50e30f5a3aadc53a09551b709cd87ad737a873

Observation bdcfaa92-2858-4659-a2d3-54ec11622067 · inbound

GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning cites this paper.

GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning PSP: Pre-Training and Structure Prompt Tuning for Graph Neural Networks

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-16T04:12:02.251399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:12:02.251399Z digest=sha256:56f90073d1087911eeeedf2fed43df460fb84efeda86c807c0d939db618608c4