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Paper Citation Record · LEDGER

Non-Homophilic Graph Pre-Training and Prompt Learning

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.12594.

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

pith.paper-citation-record.v1
2408.12594 v6

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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:40:13.229460Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:17:17.718549Z

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 448f8a7f-5db4-4a4a-b55c-3de21f226f55 · inbound

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach cites this paper.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Non-Homophilic Graph Pre-Training and Prompt Learning

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-10T14:40:13.229460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:40:13.229460Z digest=sha256:ab8d248ee19b9e31be2f1be79a402818fa57fd3aa31441e5e67bbc45e5829ea9

Observation 818da29c-8f38-459b-bfe9-160fff79501c · 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 Non-Homophilic Graph Pre-Training and Prompt Learning

Reference 124

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:17:17.723890Z

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=2026-08-07T05:17:17.325160Z digest=sha256:af854ad89c9fd504af5dc80e98b53251650aabcb75c22a171bebc6d6beb1c9cf