Paper Citation Record · LEDGER

Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2506.18019.

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

pith.paper-citation-record.v1
2506.18019 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T08:44:56.413292Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:38:55.279639Z

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 2dac0913-1a55-44d4-9b6d-b90c2767a301 · inbound

Securing Multi-Agent Systems Against Corruptions via Node Contribution Backpropagation cites this paper.

Securing Multi-Agent Systems Against Corruptions via Node Contribution Backpropagation Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-04T08:44:56.413292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f10cad2-bf54-4b07-9edb-429b628cce54 · inbound

PRAXIS: Integrating Program Analysis with Observability for Root-Cause Analysis cites this paper.

PRAXIS: Integrating Program Analysis with Observability for Root-Cause Analysis Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:18:19.362233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1489c953-1715-46dd-aa42-2a760b0e488d · inbound

Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation cites this paper.

Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-15T17:31:22.333936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e6d55a41-1982-4b95-aa3f-12e0a51d5b6a · inbound

Beyond Individual Mimicry: Constructing Human-Like Social network with Graph-Augmented LLM Agents cites this paper.

Beyond Individual Mimicry: Constructing Human-Like Social network with Graph-Augmented LLM Agents Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T21:19:27.984745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 88ff255a-058b-4291-a21c-4c9511a5ee66 · inbound

Code as Agent Harness cites this paper.

Code as Agent Harness Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities

Reference 216

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:58:14.276945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 10eb969c-c81a-4b1b-9663-149c5a2afe21 · inbound

Toward User Preference Alignment in LLM Recommendation via Explicit Context Feedback cites this paper.

Toward User Preference Alignment in LLM Recommendation via Explicit Context Feedback Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-06-29T09:33:17.347149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 411863b0-f2fc-4f73-89eb-1dfdd6726ade · inbound

MOC: Multi-Order Communication in LLM-based Multi-Agent Systems cites this paper.

MOC: Multi-Order Communication in LLM-based Multi-Agent Systems Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-07-01T23:16:24.461989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 00cfc62d-354a-4872-a23a-2df25995c5ce · inbound

LLMs+Graphs: Toward Graph-Native, Synergistic AI Systems cites this paper.

LLMs+Graphs: Toward Graph-Native, Synergistic AI Systems Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T13:28:19.040019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b8932cf5-35a0-4fef-b3d6-43257b114ad9 · inbound

RubricsTree: Scalable and Evolving Open-Ended Evaluation of Personal Health Agents across Health Memory and Medical Skills cites this paper.

RubricsTree: Scalable and Evolving Open-Ended Evaluation of Personal Health Agents across Health Memory and Medical Skills Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:38:55.281480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5e69a03c-e5f1-47b6-9178-e7f921e16c4e · inbound

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming cites this paper.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities

Reference 49

Resolution: unresolved; no resolver link, observed 2026-07-15T10:12:25.518134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.