Paper Citation Record · LEDGER

Aime: Towards Fully-Autonomous Multi-Agent Framework

As of 9 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 3 inbound Pith citation observations for arXiv:2507.11988.

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

pith.paper-citation-record.v1
2507.11988 v2

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:59:40.742556Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-15T22:18:15.149975Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T22:18:15.182801Z

Reference resolution

13 of 13 outbound references displayed

verified exact0
verified fuzzy2
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3ba421a9-b4b6-47ec-a210-49a045375340 · outbound

This paper cites Language models are few-shot learners.

Aime: Towards Fully-Autonomous Multi-Agent Framework Language models are few-shot learners

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:59:41.373558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8be2850f-2a46-4b54-bf5b-cdb7cb2da15d · outbound

This paper cites AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors.

Aime: Towards Fully-Autonomous Multi-Agent Framework AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T16:59:39.866395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1dee2c63-bca1-4dd7-b125-4e2ccb52c189 · outbound

This paper cites OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation.

Aime: Towards Fully-Autonomous Multi-Agent Framework OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T16:59:40.057408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03b5dfc7-53e4-4017-9322-d9ea3b6430db · outbound

This paper cites Understanding the planning of LLM agents: A survey.

Aime: Towards Fully-Autonomous Multi-Agent Framework Understanding the planning of LLM agents: A survey

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T16:59:40.292613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6d77353-5795-4648-a4f1-856bfeea8a29 · outbound

This paper cites MarsCode Agent: AI-native Automated Bug Fixing.

Aime: Towards Fully-Autonomous Multi-Agent Framework MarsCode Agent: AI-native Automated Bug Fixing

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T16:59:40.382661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2c8b1bc-a7d5-4390-b79e-9398d4d0c918 · outbound

This paper cites GPT-4 Technical Report.

Aime: Towards Fully-Autonomous Multi-Agent Framework GPT-4 Technical Report

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T16:59:40.503867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4227c5a-fc91-40b4-b920-37f2f3323a12 · outbound

This paper cites V oyager: An open-ended embodied agent with large language models.

Aime: Towards Fully-Autonomous Multi-Agent Framework V oyager: An open-ended embodied agent with large language models

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:59:41.127268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b71ab05c-7e97-49d3-9f60-13efbd0a1b17 · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

Aime: Towards Fully-Autonomous Multi-Agent Framework AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T16:59:40.682006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 452a6adf-0286-48fd-82a1-07ad4ebb8843 · outbound

This paper cites Multi-agent Architecture Search via Agentic Supernet.

Aime: Towards Fully-Autonomous Multi-Agent Framework Multi-agent Architecture Search via Agentic Supernet

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T16:59:40.742556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcc1662b-5e3c-4f36-b36b-652713468c2c · outbound

This paper cites Why Do Multi-Agent LLM Systems Fail?.

Aime: Towards Fully-Autonomous Multi-Agent Framework Why Do Multi-Agent LLM Systems Fail?

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-06T16:59:39.665437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6c76f69-800a-401c-9415-72961e538eb6 · outbound

This paper cites FlowReasoner: Reinforcing Query-Level Meta-Agents.

Aime: Towards Fully-Autonomous Multi-Agent Framework FlowReasoner: Reinforcing Query-Level Meta-Agents

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T16:59:39.941777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d3c0453-5ea6-473d-ae10-d4a6a65fdaa7 · outbound

This paper cites CodeR: Issue Resolving with Multi-Agent and Task Graphs.

Aime: Towards Fully-Autonomous Multi-Agent Framework CodeR: Issue Resolving with Multi-Agent and Task Graphs

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T16:59:39.739841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12e8576d-659d-45f9-8fbc-3b7f97630900 · outbound

This paper cites Automated Design of Agentic Systems.

Aime: Towards Fully-Autonomous Multi-Agent Framework Automated Design of Agentic Systems

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T16:59:40.164586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 3d99b830-a1f2-4a52-813a-5115d7ca75bb · inbound

MemEvolve: Meta-Evolution of Agent Memory Systems cites this paper.

MemEvolve: Meta-Evolution of Agent Memory Systems Aime: Towards Fully-Autonomous Multi-Agent Framework

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-15T22:18:15.187431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 64df0401-b7bf-42a7-924b-5f787f12e48e · inbound

Complete Cyclic Subtask Graphs for Tool-Using LLM Agents: Flexibility, Cost, and Bottlenecks in Multi-Agent Workflows cites this paper.

Complete Cyclic Subtask Graphs for Tool-Using LLM Agents: Flexibility, Cost, and Bottlenecks in Multi-Agent Workflows Aime: Towards Fully-Autonomous Multi-Agent Framework

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T07:06:52.871981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 215f4707-3ad7-490c-968c-8cec6f4324ae · inbound

OxyGent: Making Multi-Agent Systems Modular, Observable, and Evolvable via Oxy Abstraction cites this paper.

OxyGent: Making Multi-Agent Systems Modular, Observable, and Evolvable via Oxy Abstraction Aime: Towards Fully-Autonomous Multi-Agent Framework

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:41:20.297379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.