Paper Citation Record · LEDGER

Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.01635.

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

pith.paper-citation-record.v1
2410.01635 v2

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 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:00:24.597659Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T04:52:23.431939Z

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 32c9db38-3323-4261-8c82-26466ef0831f · inbound

GCAL: Adapting Graph Models to Evolving Domain Shifts cites this paper.

GCAL: Adapting Graph Models to Evolving Domain Shifts Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T15:00:24.597659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93071ea4-a3bc-49be-a45d-ff1b425ff711 · 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 Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-07T05:17:17.212294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b86a69d-8009-475f-8f40-d4d5817215ae · inbound

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

Cross-Paradigm Graph Backdoor Attacks with Promptable Subgraph Triggers Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-18T04:52:23.433893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f17068b7-8385-46c5-8c32-720ea85d08fc · inbound

SAGE: A Self-Evolving Agentic Graph-Memory Engine for Structure-Aware Associative Memory cites this paper.

SAGE: A Self-Evolving Agentic Graph-Memory Engine for Structure-Aware Associative Memory Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T04:57:17.725167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.