Paper Citation Record · LEDGER

A Multi-AI Agent System for Autonomous Optimization of Agentic AI Solutions via Iterative Refinement and LLM-Driven Feedback Loops

As of 11 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 3 inbound Pith citation observations for arXiv:2412.17149.

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

pith.paper-citation-record.v1
2412.17149 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:47:25.771298Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T11:58:11.319217Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T17:35:43.864558Z

Reference resolution

14 of 14 outbound references displayed

verified exact0
verified fuzzy0
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 59fd81f1-de03-4dbb-ad9d-508029775403 · outbound

This paper cites online" 'onlinestring :=.

A Multi-AI Agent System for Autonomous Optimization of Agentic AI Solutions via Iterative Refinement and LLM-Driven Feedback Loops online" 'onlinestring :=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T05:47:25.700143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83fa7cd9-e609-478f-8d5d-604199c9e842 · outbound

This paper cites write newline.

A Multi-AI Agent System for Autonomous Optimization of Agentic AI Solutions via Iterative Refinement and LLM-Driven Feedback Loops write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T05:47:25.706424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 998198a4-b478-478d-8614-274fa82680b1 · outbound

This paper cites Automated Design of Agentic Systems.

A Multi-AI Agent System for Autonomous Optimization of Agentic AI Solutions via Iterative Refinement and LLM-Driven Feedback Loops Automated Design of Agentic Systems

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T05:47:25.711971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cce98787-741b-4933-91ed-85e7c0555f58 · outbound

This paper cites an unresolved cited work.

A Multi-AI Agent System for Autonomous Optimization of Agentic AI Solutions via Iterative Refinement and LLM-Driven Feedback Loops Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:47:25.993647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 36c952e7-55aa-45ed-a608-519b07d73c8a · outbound

This paper cites an unresolved cited work.

A Multi-AI Agent System for Autonomous Optimization of Agentic AI Solutions via Iterative Refinement and LLM-Driven Feedback Loops Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:47:25.976711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 80cf0cd6-4cec-4b58-a3e8-2a6dd9e145e9 · outbound

This paper cites The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey.

A Multi-AI Agent System for Autonomous Optimization of Agentic AI Solutions via Iterative Refinement and LLM-Driven Feedback Loops The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T05:47:25.728481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b583745f-9921-494d-a6d7-0f89d74697c4 · outbound

This paper cites an unresolved cited work.

A Multi-AI Agent System for Autonomous Optimization of Agentic AI Solutions via Iterative Refinement and LLM-Driven Feedback Loops Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:47:25.960806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9968fb31-5f08-4fdb-a3ae-4f850efc3636 · outbound

This paper cites AgentInstruct: Toward Generative Teaching with Agentic Flows.

A Multi-AI Agent System for Autonomous Optimization of Agentic AI Solutions via Iterative Refinement and LLM-Driven Feedback Loops AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T05:47:25.739286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cafc8b8c-707b-4662-a46b-89424dff79a9 · outbound

This paper cites Feedback Loops With Language Models Drive In-Context Reward Hacking.

A Multi-AI Agent System for Autonomous Optimization of Agentic AI Solutions via Iterative Refinement and LLM-Driven Feedback Loops Feedback Loops With Language Models Drive In-Context Reward Hacking

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T05:47:25.745361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b700709-b1b5-48e2-9dfd-1626f6d547c1 · outbound

This paper cites an unresolved cited work.

A Multi-AI Agent System for Autonomous Optimization of Agentic AI Solutions via Iterative Refinement and LLM-Driven Feedback Loops Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:47:25.944866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7e0e2c1b-4ae5-47e5-a7fe-dfc8816384d2 · outbound

This paper cites an unresolved cited work.

A Multi-AI Agent System for Autonomous Optimization of Agentic AI Solutions via Iterative Refinement and LLM-Driven Feedback Loops Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:47:25.928829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation baf5501d-c5e7-4c35-8c76-e6fff3a3da75 · outbound

This paper cites Towards Agentic AI on Particle Accelerators.

A Multi-AI Agent System for Autonomous Optimization of Agentic AI Solutions via Iterative Refinement and LLM-Driven Feedback Loops Towards Agentic AI on Particle Accelerators

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T05:47:25.760998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f4ab687-9a3c-4292-a9cb-7fa7ba44bdfa · outbound

This paper cites an unresolved cited work.

A Multi-AI Agent System for Autonomous Optimization of Agentic AI Solutions via Iterative Refinement and LLM-Driven Feedback Loops Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:47:25.912552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 315bd876-a5fd-4726-9ff1-3db28bed851b · outbound

This paper cites ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning.

A Multi-AI Agent System for Autonomous Optimization of Agentic AI Solutions via Iterative Refinement and LLM-Driven Feedback Loops ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T05:47:25.771298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 2574e3ca-5520-4400-8517-2c96421be459 · inbound

A Survey on LLM-as-a-Judge cites this paper.

A Survey on LLM-as-a-Judge A Multi-AI Agent System for Autonomous Optimization of Agentic AI Solutions via Iterative Refinement and LLM-Driven Feedback Loops

Reference 201

Resolution: verified exact; arxiv_id, observed 2026-05-23T17:35:43.866874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 03f04f47-e4c6-45eb-b5aa-6345b1bfac17 · inbound

Security Considerations for Multi-agent Systems cites this paper.

Security Considerations for Multi-agent Systems A Multi-AI Agent System for Autonomous Optimization of Agentic AI Solutions via Iterative Refinement and LLM-Driven Feedback Loops

Reference 210

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:15:55.992072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b155e3f2-b548-4388-9193-76e6f87b1722 · inbound

CODE-GEN: A Human-in-the-Loop RAG-Based Agentic AI System for Multiple-Choice Question Generation cites this paper.

CODE-GEN: A Human-in-the-Loop RAG-Based Agentic AI System for Multiple-Choice Question Generation A Multi-AI Agent System for Autonomous Optimization of Agentic AI Solutions via Iterative Refinement and LLM-Driven Feedback Loops

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-13T11:58:11.319217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.