Paper Citation Record · LEDGER

Prompt-based Node Feature Extractor for Few-shot Learning on Text-Attributed Graphs

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2309.02848.

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

pith.paper-citation-record.v1
2309.02848 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:31:05.739167Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:11:16.804382Z

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 3371ac03-1de0-410c-adb2-5bfe4b28ea41 · inbound

GL-Fusion: Rethinking the Combination of Graph Neural Network and Large Language model cites this paper.

GL-Fusion: Rethinking the Combination of Graph Neural Network and Large Language model Prompt-based Node Feature Extractor for Few-shot Learning on Text-Attributed Graphs

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-11T20:23:02.380649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdab10ca-4215-4d38-9bcc-3a1f1550cfcd · inbound

Scalability Matters: Overcoming Challenges in InstructGLM with Similarity-Degree-Based Sampling cites this paper.

Scalability Matters: Overcoming Challenges in InstructGLM with Similarity-Degree-Based Sampling Prompt-based Node Feature Extractor for Few-shot Learning on Text-Attributed Graphs

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T04:31:05.739167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0b962f1-e8f6-4328-be79-90f02ab07e0a · inbound

Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph cites this paper.

Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph Prompt-based Node Feature Extractor for Few-shot Learning on Text-Attributed Graphs

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T22:06:15.269440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cde4e5a-fbf7-43db-a7a8-d0daae527069 · inbound

A Comprehensive Data-centric Overview of Federated Graph Learning cites this paper.

A Comprehensive Data-centric Overview of Federated Graph Learning Prompt-based Node Feature Extractor for Few-shot Learning on Text-Attributed Graphs

Reference 192

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:11:16.812035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.