Paper Citation Record · LEDGER

MARCO: Multi-Agent Code Optimization with Real-Time Knowledge Integration for High-Performance Computing

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2505.03906.

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

pith.paper-citation-record.v1
2505.03906 v3

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 2026-08-07T14:15:46.145500Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T09:13:16.601778Z

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 67ba1288-906d-401b-869a-3f6e477ed6ae · inbound

Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI cites this paper.

Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI MARCO: Multi-Agent Code Optimization with Real-Time Knowledge Integration for High-Performance Computing

Reference 140

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:46.145500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80267e42-8b24-450e-81d7-6cff95c8b780 · inbound

SysLLMatic: Large Language Models are Software System Optimizers cites this paper.

SysLLMatic: Large Language Models are Software System Optimizers MARCO: Multi-Agent Code Optimization with Real-Time Knowledge Integration for High-Performance Computing

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-05-19T12:22:17.215526Z

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 1d17dadc-a590-40c6-be36-1376a431c90b · inbound

Performance Evaluation of General Purpose Large Language Models for Basic Linear Algebra Subprograms Code Generation cites this paper.

Performance Evaluation of General Purpose Large Language Models for Basic Linear Algebra Subprograms Code Generation MARCO: Multi-Agent Code Optimization with Real-Time Knowledge Integration for High-Performance Computing

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T19:45:36.223462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2605c5b-f713-4954-98d9-bf6def88a670 · inbound

A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems cites this paper.

A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems MARCO: Multi-Agent Code Optimization with Real-Time Knowledge Integration for High-Performance Computing

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-05-15T23:21:42.626484Z

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 164d7d98-167c-4c62-aad0-20dae41dfe33 · inbound

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory cites this paper.

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory MARCO: Multi-Agent Code Optimization with Real-Time Knowledge Integration for High-Performance Computing

Reference 235

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T23:13:15.685678Z

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 8972082d-5a09-49e5-b6a5-ae53779d5a6e · inbound

Agentic Reasoning for Large Language Models cites this paper.

Agentic Reasoning for Large Language Models MARCO: Multi-Agent Code Optimization with Real-Time Knowledge Integration for High-Performance Computing

Reference 100

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:25.973783Z

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 a9395516-f7b0-41b7-be24-4f738cdfc1d9 · inbound

On the Road to Personalized Code Intelligence: Portraiting and Assisting Developers Based on Their In-IDE Behaviors cites this paper.

On the Road to Personalized Code Intelligence: Portraiting and Assisting Developers Based on Their In-IDE Behaviors MARCO: Multi-Agent Code Optimization with Real-Time Knowledge Integration for High-Performance Computing

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-06-29T09:13:16.603270Z

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.