Paper Citation Record · LEDGER

GNNs as Predictors of Agentic Workflow Performances

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2503.11301.

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

pith.paper-citation-record.v1
2503.11301 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:26:49.779781Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:39:46.488434Z

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 fe1680f8-7072-4e1a-9100-54db3096e4ef · inbound

Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities cites this paper.

Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities GNNs as Predictors of Agentic Workflow Performances

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-06T23:26:49.779781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 107f9602-a02a-4eaf-83d7-7c30b7dea116 · inbound

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence cites this paper.

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence GNNs as Predictors of Agentic Workflow Performances

Reference 279

Resolution: verified exact; arxiv_id, observed 2026-05-14T22:23:15.368298Z

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 f6e26e6c-386f-4063-9452-dfbfcd78c9e9 · inbound

Graph-Augmented Large Language Model Agents: Current Progress and Future Prospects cites this paper.

Graph-Augmented Large Language Model Agents: Current Progress and Future Prospects GNNs as Predictors of Agentic Workflow Performances

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-06T12:52:01.619661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c01d3dfd-a2a7-47cf-9ead-5324f83b19e1 · inbound

MASPOB: Bandit-Based Prompt Optimization for Multi-Agent Systems with Graph Neural Networks cites this paper.

MASPOB: Bandit-Based Prompt Optimization for Multi-Agent Systems with Graph Neural Networks GNNs as Predictors of Agentic Workflow Performances

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-02T19:22:25.461794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e474f33e-b495-4c54-8c24-5a6b48fe7d26 · inbound

Detect by Yourself: Self-Designing Agentic Workflows for Few-Shot Graph Anomaly Detection cites this paper.

Detect by Yourself: Self-Designing Agentic Workflows for Few-Shot Graph Anomaly Detection GNNs as Predictors of Agentic Workflow Performances

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-06-29T20:03:56.241707Z

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 4a37e90f-39cf-4a61-8942-b8a3a537123b · inbound

Everywhere Learning: Artificial Intelligence with Pointwise Constraints cites this paper.

Everywhere Learning: Artificial Intelligence with Pointwise Constraints GNNs as Predictors of Agentic Workflow Performances

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:16:16.361499Z

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 2dbfcf80-de6c-4441-aafd-57bf67826b21 · inbound

GRADE: Graph Representation of LLM Agent Dependency and Execution cites this paper.

GRADE: Graph Representation of LLM Agent Dependency and Execution GNNs as Predictors of Agentic Workflow Performances

Reference 145

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:39:46.490986Z

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.