Paper Citation Record · LEDGER

Multi-agent Architecture Search via Agentic Supernet

As of 21 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 44 inbound Pith citation observations for arXiv:2502.04180.

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

pith.paper-citation-record.v1
2502.04180 v2

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T23:21:02.439420Z

measured 77 of 77 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 44 of 44 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:33:02.901949Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

33 of 33 outbound references displayed

verified exact0
verified fuzzy18
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 6a117b88-c460-43ce-a316-7b986b858e0f · outbound

This paper cites CoT (Wei et al., 2022) reasoning encourages the LLM to think step by step rather than directly outputting an answer.

Multi-agent Architecture Search via Agentic Supernet CoT (Wei et al., 2022) reasoning encourages the LLM to think step by step rather than directly outputting an answer

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-08T23:21:02.280414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3efb7009-4180-479e-8829-d587a171ba9d · outbound

This paper cites LLM-Debate (Du et al., 2023) allows multiple LLMs to debate, leveraging diverse perspectives to identify better solutions.

Multi-agent Architecture Search via Agentic Supernet LLM-Debate (Du et al., 2023) allows multiple LLMs to debate, leveraging diverse perspectives to identify better solutions

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-08T23:21:02.285662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d16bc8ef-dc26-4f70-becc-6c329d8e913e · outbound

This paper cites Adopting the methodology from Wang et al.

Multi-agent Architecture Search via Agentic Supernet Adopting the methodology from Wang et al

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-08T23:21:02.290662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c222f1ee-58ac-4c6c-8950-bdf81f2e6c7a · outbound

This paper cites Following Madaan et al.

Multi-agent Architecture Search via Agentic Supernet Following Madaan et al

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-08T23:21:02.296028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c46da7b9-ce01-43ed-afa3-d316f31117a6 · outbound

This paper cites Inspired by LLM-Blender (Jiang et al., 2023), this operator involves three LLM-powered agents from different sources outputting answers to the same query.

Multi-agent Architecture Search via Agentic Supernet Inspired by LLM-Blender (Jiang et al., 2023), this operator involves three LLM-powered agents from different sources outputting answers to the same query

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-08T23:21:02.300980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2831e481-621c-410e-ae6b-720e9a80da54 · outbound

This paper cites Following the test designer in AgentCoder (Huang et al., 2023), this operator is used for generating test cases for the generated code.

Multi-agent Architecture Search via Agentic Supernet Following the test designer in AgentCoder (Huang et al., 2023), this operator is used for generating test cases for the generated code

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:21:02.913093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6295341c-ec6e-402d-bfc7-7479291b364a · outbound

This paper cites an unresolved cited work.

Multi-agent Architecture Search via Agentic Supernet Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-08T23:21:02.897797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2d1e807f-bc6c-40eb-a126-aff58db2dad3 · outbound

This paper cites Generate.

Multi-agent Architecture Search via Agentic Supernet Generate

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:21:02.882421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3bdee4e6-a7a1-41e0-91a3-6abf0b647c56 · outbound

This paper cites The method is implemented in accordance with the original settings described in (Zhuge et al., 2024).

Multi-agent Architecture Search via Agentic Supernet The method is implemented in accordance with the original settings described in (Zhuge et al., 2024)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:21:02.564436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fefc2ca0-d966-4bd9-b55b-d442a981cee6 · outbound

This paper cites an unresolved cited work.

Multi-agent Architecture Search via Agentic Supernet Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-08T23:21:02.867256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e2c7f2b9-121a-45cd-9f1b-9d9e74359306 · outbound

This paper cites an unresolved cited work.

Multi-agent Architecture Search via Agentic Supernet Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-08T23:21:02.852042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dfdd6808-ec42-4a6f-9c4d-291167f25345 · outbound

This paper cites Generate.

Multi-agent Architecture Search via Agentic Supernet Generate

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:21:02.836962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 09991488-b304-4664-b5c1-23467761bbb6 · outbound

This paper cites an unresolved cited work.

Multi-agent Architecture Search via Agentic Supernet Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-08T23:21:02.821761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a9549cef-5075-4565-8134-dd7ca1306f41 · outbound

This paper cites an unresolved cited work.

Multi-agent Architecture Search via Agentic Supernet Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-08T23:21:02.806166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 81fa4510-0b14-4d43-b25b-0b1325e4dc7c · outbound

This paper cites an unresolved cited work.

Multi-agent Architecture Search via Agentic Supernet Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-08T23:21:02.790590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b794cbdf-a980-4859-b7dc-e43d79f50989 · outbound

This paper cites an unresolved cited work.

Multi-agent Architecture Search via Agentic Supernet Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-08T23:21:02.774942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2d4ee845-90ea-4d18-9ff6-112cd145f106 · outbound

This paper cites Execution Steps:.

Multi-agent Architecture Search via Agentic Supernet Execution Steps:

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:21:02.759779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4ee9db6e-95e3-4c83-a37f-f311bf4b8fd9 · outbound

This paper cites an unresolved cited work.

Multi-agent Architecture Search via Agentic Supernet Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-08T23:21:02.745112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 93ec5dfb-01cd-4257-883b-f70456144f91 · outbound

This paper cites an unresolved cited work.

Multi-agent Architecture Search via Agentic Supernet Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-08T23:21:02.729651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1422974f-4658-4290-bffc-62841b17eab4 · outbound

This paper cites THINK OUTSIDE THE BOX and leverage interdisciplinary insights to enhance the agentic system’s capabilities.

Multi-agent Architecture Search via Agentic Supernet THINK OUTSIDE THE BOX and leverage interdisciplinary insights to enhance the agentic system’s capabilities

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:21:02.713612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6760f2c3-7318-4f26-803b-0bee83510973 · outbound

This paper cites Chain-of-Thought (CoT) prompting guides LLM agents to break down reasoning into sequential steps rather than generating direct answers.

Multi-agent Architecture Search via Agentic Supernet Chain-of-Thought (CoT) prompting guides LLM agents to break down reasoning into sequential steps rather than generating direct answers

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:21:02.697955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 570aa68c-9aab-458c-9162-cf7eb0d6b73c · outbound

This paper cites We follow the official implementation available at https://github.com/FranxYao/ Complexity-Based-Prompting/tree/main.

Multi-agent Architecture Search via Agentic Supernet We follow the official implementation available at https://github.com/FranxYao/ Complexity-Based-Prompting/tree/main

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:21:02.680908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3f6e9836-7094-4800-83ce-a74366511c8e · outbound

This paper cites To enhance robustness, we aggregate five CoT-generated solutions.

Multi-agent Architecture Search via Agentic Supernet To enhance robustness, we aggregate five CoT-generated solutions

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:21:02.665111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 91a703f2-0694-46e6-bfc3-9758072d7606 · outbound

This paper cites We instantiate five LLM-agents, each assigned a distinct role, which participate in up to two rounds of debate, after which the final decision is determined via majority voting.

Multi-agent Architecture Search via Agentic Supernet We instantiate five LLM-agents, each assigned a distinct role, which participate in up to two rounds of debate, after which the final decision is determined via majority voting

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:21:02.648635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e3665d9f-44db-4eac-be00-70da15807a5e · outbound

This paper cites We choose two gpt-4o-mini, one Qwen-2.5-72b, and one llama-3.1-70b to empower LLM-Blender (Jiang et al., 2023).

Multi-agent Architecture Search via Agentic Supernet We choose two gpt-4o-mini, one Qwen-2.5-72b, and one llama-3.1-70b to empower LLM-Blender (Jiang et al., 2023)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:21:02.630914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 82f3379c-a339-431c-ac11-d42074d644fa · outbound

This paper cites We directly utilize the implementation from (Liu et al., 2023).

Multi-agent Architecture Search via Agentic Supernet We directly utilize the implementation from (Liu et al., 2023)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:21:02.614553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fa20b0b7-49f1-4d67-b9eb-0be895336243 · outbound

This paper cites The experimental setup follows the original implementation from (Chen et al., 2023b).

Multi-agent Architecture Search via Agentic Supernet The experimental setup follows the original implementation from (Chen et al., 2023b)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:21:02.598472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 380e7cdc-0d8d-4393-bfd2-728cd183465d · outbound

This paper cites MacNet-MESH.

Multi-agent Architecture Search via Agentic Supernet MacNet-MESH

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:21:02.581228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 95c7cfe9-b142-4d7e-a7eb-1c75726cc57e · outbound

This paper cites We adhere to the official configuration specified in (Chen et al., 2023a).

Multi-agent Architecture Search via Agentic Supernet We adhere to the official configuration specified in (Chen et al., 2023a)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:21:02.547417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c0b99438-7b87-49c7-bdff-e8732de2f6c4 · outbound

This paper cites The implementation details are directly inherited from (Hu et al., 2024a).

Multi-agent Architecture Search via Agentic Supernet The implementation details are directly inherited from (Hu et al., 2024a)

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:21:02.530881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 94e90dbd-0032-44e1-ab33-ced46a7e243d · outbound

This paper cites We utilize the modular search framework introduced in (Shang et al., 2024).

Multi-agent Architecture Search via Agentic Supernet We utilize the modular search framework introduced in (Shang et al., 2024)

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:21:02.515091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2d581292-0959-49ff-8a3b-adac6720faff · outbound

This paper cites MATH→GSM8K.

Multi-agent Architecture Search via Agentic Supernet MATH→GSM8K

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:21:02.497510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7f196501-3cde-479e-8ee9-d905b4218aa9 · outbound

This paper cites DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines.

Multi-agent Architecture Search via Agentic Supernet DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-08T23:21:02.273495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 56ab15bc-0b53-4bb6-9012-5f024c3d1533 · inbound

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

FlowReasoner: Reinforcing Query-Level Meta-Agents Multi-agent Architecture Search via Agentic Supernet

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.901949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f78d21e-13f8-4e91-aa31-9684215abe0a · inbound

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment cites this paper.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Multi-agent Architecture Search via Agentic Supernet

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:12.113635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9fdbcc2-d7fe-4e5d-95e2-dcf73319813a · inbound

OMAC: A Holistic Optimization Framework for LLM-Based Multi-Agent Collaboration cites this paper.

OMAC: A Holistic Optimization Framework for LLM-Based Multi-Agent Collaboration Multi-agent Architecture Search via Agentic Supernet

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T20:52:59.897692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 153761b0-0eff-4f28-99c2-a3794f7c0422 · inbound

Accelerating Prefilling for Long-Context LLMs via Sparse Pattern Sharing cites this paper.

Accelerating Prefilling for Long-Context LLMs via Sparse Pattern Sharing Multi-agent Architecture Search via Agentic Supernet

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:16:40.125801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9c974c2-063e-4dda-8538-85cec1380afd · inbound

MermaidFlow: Redefining Agentic Workflow Generation via Safety-Constrained Evolutionary Programming cites this paper.

MermaidFlow: Redefining Agentic Workflow Generation via Safety-Constrained Evolutionary Programming Multi-agent Architecture Search via Agentic Supernet

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:09.527081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26de77b4-bcac-45a5-b411-d2f40aa55df2 · inbound

SocialMaze: A Benchmark for Evaluating Social Reasoning in Large Language Models cites this paper.

SocialMaze: A Benchmark for Evaluating Social Reasoning in Large Language Models Multi-agent Architecture Search via Agentic Supernet

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:17.691822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5d90bcd-d383-4fd0-91eb-d7235b062fbb · inbound

Adaptive Graph Pruning for Multi-Agent Communication cites this paper.

Adaptive Graph Pruning for Multi-Agent Communication Multi-agent Architecture Search via Agentic Supernet

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T11:18:46.237941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f53256c8-c012-4996-85b1-e1fef77d0ca4 · inbound

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems cites this paper.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Multi-agent Architecture Search via Agentic Supernet

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T05:39:58.942765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation caf2a6f2-e40a-4fc9-afb3-9ac3e194fb70 · inbound

MasHost Builds It All: Autonomous Multi-Agent System Directed by Reinforcement Learning cites this paper.

MasHost Builds It All: Autonomous Multi-Agent System Directed by Reinforcement Learning Multi-agent Architecture Search via Agentic Supernet

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T05:15:46.369706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 957146b2-5704-4b00-aba6-c0e9972dae84 · inbound

We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems cites this paper.

We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems Multi-agent Architecture Search via Agentic Supernet

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-07T00:32:36.747826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a05c567c-8b0c-417a-98aa-4e40f4cfc637 · inbound

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents cites this paper.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents Multi-agent Architecture Search via Agentic Supernet

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T21:11:18.175027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce42a30a-28fd-4878-883e-12d6831404a4 · inbound

Exploring Advanced LLM Multi-Agent Systems Based on Blackboard Architecture cites this paper.

Exploring Advanced LLM Multi-Agent Systems Based on Blackboard Architecture Multi-agent Architecture Search via Agentic Supernet

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T20:51:15.196905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Aime: Towards Fully-Autonomous Multi-Agent Framework cites this paper.

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 b02974ed-45de-4634-bd80-a3a6873c9e41 · inbound

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis cites this paper.

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis Multi-agent Architecture Search via Agentic Supernet

Reference 155

Resolution: verified exact; arxiv_id, observed 2026-05-22T00:40:51.188360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a090e5e6-b674-43a2-a1b7-f792ca11bc62 · 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 Multi-agent Architecture Search via Agentic Supernet

Reference 267

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T22:23:15.319443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 84509ecd-5d3d-4cde-bd8d-a989c54e7beb · 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 Multi-agent Architecture Search via Agentic Supernet

Reference 61

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T23:13:16.199661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 38ee2ac9-f7d1-47d7-b0e0-f626f8462129 · inbound

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

MemEvolve: Meta-Evolution of Agent Memory Systems Multi-agent Architecture Search via Agentic Supernet

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-15T22:18:15.214999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 16559c5c-6150-41a5-82ce-cb44a297eccc · inbound

Effective Strategies for Asynchronous Software Engineering Agents cites this paper.

Effective Strategies for Asynchronous Software Engineering Agents Multi-agent Architecture Search via Agentic Supernet

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-13T20:49:09.477849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64bc8e9c-4f7a-4c0b-9544-ef7eaf0cc844 · inbound

Synthesizing Multi-Agent Harnesses for Vulnerability Discovery cites this paper.

Synthesizing Multi-Agent Harnesses for Vulnerability Discovery Multi-agent Architecture Search via Agentic Supernet

Reference 46

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T00:19:46.413264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a454a594-2c7b-41ac-9570-b130c1bf53cb · inbound

Safe Bilevel Delegation (SBD): A Formal Framework for Runtime Delegation Safety in Multi-Agent Systems cites this paper.

Safe Bilevel Delegation (SBD): A Formal Framework for Runtime Delegation Safety in Multi-Agent Systems Multi-agent Architecture Search via Agentic Supernet

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T10:01:29.806942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 95d3b9d0-2fcf-4a30-bf87-ff6cc0e3438d · inbound

Active Learning for Communication Structure Optimization in LLM-Based Multi-Agent Systems cites this paper.

Active Learning for Communication Structure Optimization in LLM-Based Multi-Agent Systems Multi-agent Architecture Search via Agentic Supernet

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T21:51:24.714989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cbda5c45-8391-44ba-80cc-0dfd2ca77238 · inbound

Active Learning for Communication Structure Optimization in LLM-Based Multi-Agent Systems cites this paper.

Active Learning for Communication Structure Optimization in LLM-Based Multi-Agent Systems Multi-agent Architecture Search via Agentic Supernet

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T04:20:58.644852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2dbd2e5d-c204-41a9-b753-bdbd53454063 · inbound

EvoMAS: Learning Execution-Time Workflows for Multi-Agent Systems cites this paper.

EvoMAS: Learning Execution-Time Workflows for Multi-Agent Systems Multi-agent Architecture Search via Agentic Supernet

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T07:36:32.947084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dbeded43-4f47-4375-8d29-d47ea308503a · inbound

TacoMAS: Test-Time Co-Evolution of Topology and Capability in LLM-based Multi-Agent Systems cites this paper.

TacoMAS: Test-Time Co-Evolution of Topology and Capability in LLM-based Multi-Agent Systems Multi-agent Architecture Search via Agentic Supernet

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T05:51:24.453644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3c447e1d-54a2-4ab6-9079-86f6263da69b · inbound

Hierarchical Attacks for Multi-Modal Multi-Agent Reasoning cites this paper.

Hierarchical Attacks for Multi-Modal Multi-Agent Reasoning Multi-agent Architecture Search via Agentic Supernet

Reference 44

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T20:19:27.973779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 147ff497-c04c-486c-b2ba-3d00ca623fc2 · inbound

FlowCompile: An Optimizing Compiler for Structured LLM Workflows cites this paper.

FlowCompile: An Optimizing Compiler for Structured LLM Workflows Multi-agent Architecture Search via Agentic Supernet

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T19:49:26.032175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c87ea233-815b-4c7e-9fa0-bb3b73f7b4f3 · inbound

LEMON: Learning Executable Multi-Agent Orchestration via Counterfactual Reinforcement Learning cites this paper.

LEMON: Learning Executable Multi-Agent Orchestration via Counterfactual Reinforcement Learning Multi-agent Architecture Search via Agentic Supernet

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T02:18:31.457392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 41190d63-fcf0-46ec-87de-eb8b7fe46893 · inbound

AgentCo-op: Retrieval-Based Synthesis of Interoperable Multi-Agent Workflows cites this paper.

AgentCo-op: Retrieval-Based Synthesis of Interoperable Multi-Agent Workflows Multi-agent Architecture Search via Agentic Supernet

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T07:09:46.410612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4236b0b4-96a9-4d95-addd-c545c8325f62 · inbound

FALAT: Tracing Failures in LLM Agent Trajectories via Dependency-Guided Search cites this paper.

FALAT: Tracing Failures in LLM Agent Trajectories via Dependency-Guided Search Multi-agent Architecture Search via Agentic Supernet

Reference 43

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T18:42:29.572836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ac71ec86-02da-443a-8db4-7693051d4083 · inbound

StepFinder: A Temporal Semantic Framework for Failure Attribution in Multi-Agent Systems cites this paper.

StepFinder: A Temporal Semantic Framework for Failure Attribution in Multi-Agent Systems Multi-agent Architecture Search via Agentic Supernet

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-07-02T03:16:33.963241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation befb1914-4101-4ee4-92e6-d44457522b11 · inbound

From Failed Trajectories to Reliable LLM Agents: Diagnosing and Repairing Harness Flaws cites this paper.

From Failed Trajectories to Reliable LLM Agents: Diagnosing and Repairing Harness Flaws Multi-agent Architecture Search via Agentic Supernet

Reference 59

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T00:19:12.906757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation baee18fc-aecb-4459-92ae-266eb1b7d022 · inbound

The Illusion of Multi-Agent Advantage cites this paper.

The Illusion of Multi-Agent Advantage Multi-agent Architecture Search via Agentic Supernet

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T14:58:33.601494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5db2d2ee-6a01-4493-8dc0-d4d2c9f0eeee · inbound

VTOS: Learning to Orchestrate Vision Tools by Co-Searching Solutions and Observers cites this paper.

VTOS: Learning to Orchestrate Vision Tools by Co-Searching Solutions and Observers Multi-agent Architecture Search via Agentic Supernet

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-06-26T21:40:08.303006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fb1c4c23-7c96-4db4-90e3-6b0e16412dbb · inbound

MAS-PromptBench: When Does Prompt Optimization Improve Multi-Agent LLM Systems? cites this paper.

MAS-PromptBench: When Does Prompt Optimization Improve Multi-Agent LLM Systems? Multi-agent Architecture Search via Agentic Supernet

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T09:59:45.546398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8ac131ec-8a4b-4dac-9874-24ce5c86814f · inbound

SKILL-DISCO: Distilling and Compiling Agent Traces into Reusable Procedural Skills cites this paper.

SKILL-DISCO: Distilling and Compiling Agent Traces into Reusable Procedural Skills Multi-agent Architecture Search via Agentic Supernet

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:39:50.561297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 333e9abd-c61c-4476-8ca3-47576c82d606 · inbound

Automating the Design of Embodied Agent Architectures cites this paper.

Automating the Design of Embodied Agent Architectures Multi-agent Architecture Search via Agentic Supernet

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-30T13:54:44.299521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 130c873a-6182-4734-a46a-8d679423f0e0 · inbound

Automating the Design of Embodied Agent Architectures cites this paper.

Automating the Design of Embodied Agent Architectures Multi-agent Architecture Search via Agentic Supernet

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-12T10:45:51.928810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b2a31db-111b-4d64-a1c8-198d2506288c · inbound

When Agents Go Rogue: Activation-Based Detection of Malicious Behaviors in Multi-Agent Systems cites this paper.

When Agents Go Rogue: Activation-Based Detection of Malicious Behaviors in Multi-Agent Systems Multi-agent Architecture Search via Agentic Supernet

Reference 74

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T20:57:34.694548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 75648c65-2c64-431b-8fbd-c48eb603827e · inbound

Mathematical methods of reinforcement learning cites this paper.

Mathematical methods of reinforcement learning Multi-agent Architecture Search via Agentic Supernet

Reference 113

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T22:56:37.769831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c5afe4d7-5ac6-4f6c-bb22-720bd23339d0 · inbound

Better Harnesses, Smaller Models: Building 90% Cheaper Agents via Automated Harness Adaptation cites this paper.

Better Harnesses, Smaller Models: Building 90% Cheaper Agents via Automated Harness Adaptation Multi-agent Architecture Search via Agentic Supernet

Reference 60

Resolution: unresolved; no resolver link, observed 2026-07-13T05:40:26.231504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6295a52b-0d90-4bad-b5aa-7ccdfe49b531 · inbound

LOGOS: A Living Logic for AI Agent Teams That Evolve With Humans cites this paper.

LOGOS: A Living Logic for AI Agent Teams That Evolve With Humans Multi-agent Architecture Search via Agentic Supernet

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-14T08:37:17.973015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3782eb74-8390-407c-80e3-85602086a13e · inbound

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills cites this paper.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills Multi-agent Architecture Search via Agentic Supernet

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T16:08:11.774000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01d8e539-1051-4f92-8b90-1fe15bbbea1d · inbound

Coupled Hierarchical Search over Topology and Execution for Agentic Workflow Synthesis cites this paper.

Coupled Hierarchical Search over Topology and Execution for Agentic Workflow Synthesis Multi-agent Architecture Search via Agentic Supernet

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T13:37:08.225875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e3a3567-d74d-46e1-965d-21c61d8ce21a · inbound

Agent Against Agent: An Agentic System for Automatic Prompt Injection Red Teaming cites this paper.

Agent Against Agent: An Agentic System for Automatic Prompt Injection Red Teaming Multi-agent Architecture Search via Agentic Supernet

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T05:11:47.247014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.