Paper Citation Record · LEDGER

AutoAgents: A Framework for Automatic Agent Generation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 35 inbound Pith citation observations for arXiv:2309.17288.

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

pith.paper-citation-record.v1
2309.17288 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 35 of 35 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:15:46.188579Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

6
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2b2b92eb-9740-4d68-8f8d-215dc8f87e4a · inbound

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration cites this paper.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration AutoAgents: A Framework for Automatic Agent Generation

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T21:05:25.899166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f930cd29-0326-4813-bb1e-bddb52d7f9e5 · inbound

Large Language Model based Multi-Agents: A Survey of Progress and Challenges cites this paper.

Large Language Model based Multi-Agents: A Survey of Progress and Challenges AutoAgents: A Framework for Automatic Agent Generation

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:58:56.669793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 90ed696a-f2b2-4144-b95d-1f4a66015527 · inbound

Automated Design of Agentic Systems cites this paper.

Automated Design of Agentic Systems AutoAgents: A Framework for Automatic Agent Generation

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T08:07:54.861100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 34194cae-2947-400c-aad6-b1e237249450 · inbound

InfantAgent-Next: A Multimodal Generalist Agent for Automated Computer Interaction cites this paper.

InfantAgent-Next: A Multimodal Generalist Agent for Automated Computer Interaction AutoAgents: A Framework for Automatic Agent Generation

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-22T15:21:45.037813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 22543c69-7b8a-48e6-8fc7-6c9c856263ef · inbound

Position: Agent Should Invoke External Tools ONLY When Epistemically Necessary cites this paper.

Position: Agent Should Invoke External Tools ONLY When Epistemically Necessary AutoAgents: A Framework for Automatic Agent Generation

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:37:15.897729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 914c045a-0591-4866-a91a-0a4fc1262488 · 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 AutoAgents: A Framework for Automatic Agent Generation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T05:15:46.188579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fc942f1-574a-46f0-98d2-2cde3d4be9b3 · inbound

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems cites this paper.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems AutoAgents: A Framework for Automatic Agent Generation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:00.559117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54b2e3f0-b546-462f-8b93-9931aa217ecc · inbound

AgentDistill: Training-Free Agent Distillation with Generalizable MCP Boxes cites this paper.

AgentDistill: Training-Free Agent Distillation with Generalizable MCP Boxes AutoAgents: A Framework for Automatic Agent Generation

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T00:13:39.304616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 618077df-7394-442d-9697-cd2a6dcddf98 · inbound

Doc2Agent: Scalable Generation of Tool-Using Agents from API Documentation cites this paper.

Doc2Agent: Scalable Generation of Tool-Using Agents from API Documentation AutoAgents: A Framework for Automatic Agent Generation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T23:05:06.264898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71a4fa91-15ec-46de-b3d1-93120ff83165 · inbound

Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning cites this paper.

Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning AutoAgents: A Framework for Automatic Agent Generation

Reference 124

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T01:01:10.281299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 260b815f-fb0f-4913-ab43-8dc7a875ea78 · inbound

Establishing Best Practices for Building Rigorous Agentic Benchmarks cites this paper.

Establishing Best Practices for Building Rigorous Agentic Benchmarks AutoAgents: A Framework for Automatic Agent Generation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T20:24:21.195372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c81f267a-551c-4725-9dda-a02b928d1ecb · inbound

SI-Agent: An Agentic Framework for Feedback-Driven Generation and Tuning of Human-Readable System Instructions for Large Language Models cites this paper.

SI-Agent: An Agentic Framework for Feedback-Driven Generation and Tuning of Human-Readable System Instructions for Large Language Models AutoAgents: A Framework for Automatic Agent Generation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T20:21:24.020429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f833daf-7bfc-49ee-9cd8-25b114695da0 · inbound

A Survey of Reinforcement Learning for Large Reasoning Models cites this paper.

A Survey of Reinforcement Learning for Large Reasoning Models AutoAgents: A Framework for Automatic Agent Generation

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-18T00:02:25.027368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5101240a-7a64-4f23-b990-0db298989f59 · inbound

LightAgent: Production-level Open-source Agentic AI Framework cites this paper.

LightAgent: Production-level Open-source Agentic AI Framework AutoAgents: A Framework for Automatic Agent Generation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T19:24:24.659105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1f40cdd-ab76-49e1-8136-178b10758519 · inbound

Semantic-Aware Logical Reasoning via a Semiotic Framework cites this paper.

Semantic-Aware Logical Reasoning via a Semiotic Framework AutoAgents: A Framework for Automatic Agent Generation

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:01:23.890124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f7f9d543-784b-44de-9bf6-d4dee72a0438 · inbound

Dynamic Generation of Multi-LLM Agents Communication Topologies with Graph Diffusion Models cites this paper.

Dynamic Generation of Multi-LLM Agents Communication Topologies with Graph Diffusion Models AutoAgents: A Framework for Automatic Agent Generation

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-21T20:40:35.659702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 64071f8c-3eb8-4107-a80e-5ae64072d3a0 · inbound

Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges cites this paper.

Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges AutoAgents: A Framework for Automatic Agent Generation

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:42:22.453726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2c70488b-d4e5-4c4a-9863-273146a774c2 · inbound

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL cites this paper.

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL AutoAgents: A Framework for Automatic Agent Generation

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T01:32:17.463387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 631b9a05-65b5-49e5-8c9a-9bc862f5d58c · inbound

From Script to Stage: Automating Experimental Design for Social Simulations with LLMs cites this paper.

From Script to Stage: Automating Experimental Design for Social Simulations with LLMs AutoAgents: A Framework for Automatic Agent Generation

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:12:23.461885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a6df40a5-c79a-4190-abdc-eddb92f37813 · inbound

Agentic Reasoning for Large Language Models cites this paper.

Agentic Reasoning for Large Language Models AutoAgents: A Framework for Automatic Agent Generation

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:25.812027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8772e691-2b7a-4374-bca9-27934e0bd0d3 · inbound

ToolSelf: Unifying Task Execution and Self-Reconfiguration via Tool-Driven Emergent Adaptation cites this paper.

ToolSelf: Unifying Task Execution and Self-Reconfiguration via Tool-Driven Emergent Adaptation AutoAgents: A Framework for Automatic Agent Generation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T03:30:06.610037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8ad160a-fc41-4de7-aa14-9383be6f30a5 · inbound

Resource Consumption Threats in Large Language Models cites this paper.

Resource Consumption Threats in Large Language Models AutoAgents: A Framework for Automatic Agent Generation

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T10:45:28.279582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2e7a21e1-4c35-4a26-a35c-4c994a85f94f · inbound

Effective Strategies for Asynchronous Software Engineering Agents cites this paper.

Effective Strategies for Asynchronous Software Engineering Agents AutoAgents: A Framework for Automatic Agent Generation

Reference 14

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 25860c37-f69d-4779-a4f6-041d870876a0 · inbound

Gated Coordination for Efficient Multi-Agent Collaboration in Minecraft Game cites this paper.

Gated Coordination for Efficient Multi-Agent Collaboration in Minecraft Game AutoAgents: A Framework for Automatic Agent Generation

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:16:09.837227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 77cce63a-32b0-4544-9e58-e3e91ac49faf · inbound

Incisor: Ex Ante Cloud Instance Selection for HPC Jobs cites this paper.

Incisor: Ex Ante Cloud Instance Selection for HPC Jobs AutoAgents: A Framework for Automatic Agent Generation

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-09T01:29:32.746987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 41ccf50d-24cf-40d0-8893-e09470f67e0a · inbound

From Static Analysis to Audience Dissemination: A Training-Free Multimodal Controversy Detection Multi-Agent Framework cites this paper.

From Static Analysis to Audience Dissemination: A Training-Free Multimodal Controversy Detection Multi-Agent Framework AutoAgents: A Framework for Automatic Agent Generation

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:16:06.798926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation eea0bde6-3f5e-4677-a32e-3368c8ac05cf · inbound

Good Agentic Friends Do Not Just Give Verbal Advice: They Can Update Your Weights cites this paper.

Good Agentic Friends Do Not Just Give Verbal Advice: They Can Update Your Weights AutoAgents: A Framework for Automatic Agent Generation

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:02:50.161373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 09ec9ec1-83ef-4418-84bd-bfc5e580f248 · inbound

ATOM: Instantiating Budget-Controllable Multi-Agent Collaboration via Nucleus-Electron Hierarchy cites this paper.

ATOM: Instantiating Budget-Controllable Multi-Agent Collaboration via Nucleus-Electron Hierarchy AutoAgents: A Framework for Automatic Agent Generation

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-06-29T20:03:56.280133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f4230b83-abb2-42cb-98d3-6d3f8501e539 · inbound

Verilog-Evolve: Feedback-Driven and Skill-Evolving Verilog Generation cites this paper.

Verilog-Evolve: Feedback-Driven and Skill-Evolving Verilog Generation AutoAgents: A Framework for Automatic Agent Generation

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:53:51.286685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6e14d336-94a1-4f7a-8566-82d341246b98 · inbound

OctoT2I: A Self-Evolving Agentic Text-to-Image Router cites this paper.

OctoT2I: A Self-Evolving Agentic Text-to-Image Router AutoAgents: A Framework for Automatic Agent Generation

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-01T23:26:22.500561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 82565da5-fd08-4413-8ed0-c8a9a95a7c78 · inbound

Understanding How Enterprises Adopt the Model Context Protocol for LLM-Driven Software Engineering cites this paper.

Understanding How Enterprises Adopt the Model Context Protocol for LLM-Driven Software Engineering AutoAgents: A Framework for Automatic Agent Generation

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-03T02:37:34.625601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 54254653-e556-41a0-96a6-fdb93158d965 · inbound

Knowledge-Centric Agents for Workflow Generation in ComfyUI cites this paper.

Knowledge-Centric Agents for Workflow Generation in ComfyUI AutoAgents: A Framework for Automatic Agent Generation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T22:12:51.861646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17cdf9fa-46f0-49fc-8c1b-031484686e6e · inbound

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution cites this paper.

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution AutoAgents: A Framework for Automatic Agent Generation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T18:17:10.748889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1267a901-e588-46e5-a880-1d6bc85721c2 · inbound

Agent Security Needs Redefinition through a Holistic Framework cites this paper.

Agent Security Needs Redefinition through a Holistic Framework AutoAgents: A Framework for Automatic Agent Generation

Reference 262

Resolution: unresolved; no resolver link, observed 2026-08-01T06:04:46.573899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2d5a0e9-6891-4cfb-b49f-530a97bdfa15 · inbound

Harnessing the Wisdom of LLM Crowds through Complementarity-Driven Iterative Collaboration cites this paper.

Harnessing the Wisdom of LLM Crowds through Complementarity-Driven Iterative Collaboration AutoAgents: A Framework for Automatic Agent Generation

Reference 121

Resolution: unresolved; no resolver link, observed 2026-08-03T13:59:19.856383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.