Paper Citation Record · LEDGER

FlowReasoner: Reinforcing Query-Level Meta-Agents

As of 17 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 22 inbound Pith citation observations for arXiv:2504.15257.

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

pith.paper-citation-record.v1
2504.15257 v1

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:33:02.934738Z

measured 87 of 87 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:21:40.459605Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T14:17:10.147620Z

Reference resolution

65 of 65 outbound references displayed

verified exact0
verified fuzzy9
unresolved56
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6ee43994-98be-498b-a1a9-8cf67686fcdc · outbound

This paper cites GPT-4 Technical Report.

FlowReasoner: Reinforcing Query-Level Meta-Agents GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.683212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 264628c1-4352-48d0-b318-801b1d20ae13 · outbound

This paper cites Introducing computer use, a new claude 3.5 sonnet, and claude 3.5 haiku.

FlowReasoner: Reinforcing Query-Level Meta-Agents Introducing computer use, a new claude 3.5 sonnet, and claude 3.5 haiku

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.689711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a08217a4-f485-4ee3-9d7d-f29009582fc2 · outbound

This paper cites Abstraction and reasoning corpus for artificial general intelligence.

FlowReasoner: Reinforcing Query-Level Meta-Agents Abstraction and reasoning corpus for artificial general intelligence

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:03.922645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 287d1fff-fcc7-42ec-a0f3-dfad7517043e · outbound

This paper cites Program Synthesis with Large Language Models.

FlowReasoner: Reinforcing Query-Level Meta-Agents Program Synthesis with Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.697750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a7c5b20-7e94-4af4-b08f-6be343336e7a · outbound

This paper cites AutoAgents: A Framework for Automatic Agent Generation.

FlowReasoner: Reinforcing Query-Level Meta-Agents AutoAgents: A Framework for Automatic Agent Generation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.701787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10bab2bc-e100-4524-a3fb-f710cf4c7fdb · outbound

This paper cites Evaluating Large Language Models Trained on Code.

FlowReasoner: Reinforcing Query-Level Meta-Agents Evaluating Large Language Models Trained on Code

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.705975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63ba88e0-3607-402b-805b-a324d1769259 · outbound

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

FlowReasoner: Reinforcing Query-Level Meta-Agents AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.710623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 988b3f32-3b44-48f5-8349-b232c25e7617 · outbound

This paper cites Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs.

FlowReasoner: Reinforcing Query-Level Meta-Agents Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.714575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a159517d-cde0-4a02-918f-e3a67ea3a442 · outbound

This paper cites Introducing devin, the first ai software engineer.

FlowReasoner: Reinforcing Query-Level Meta-Agents Introducing devin, the first ai software engineer

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:03.911588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 26289e74-bca3-45aa-8d6b-1404cb804225 · outbound

This paper cites Improving Factuality and Reasoning in Language Models through Multiagent Debate.

FlowReasoner: Reinforcing Query-Level Meta-Agents Improving Factuality and Reasoning in Language Models through Multiagent Debate

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.722739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11a8515d-6e38-42ca-a75d-cb3b334d3fd4 · outbound

This paper cites Heterogeneous swarms: Jointly optimizing model roles and weights for multi-llm systems.

FlowReasoner: Reinforcing Query-Level Meta-Agents Heterogeneous swarms: Jointly optimizing model roles and weights for multi-llm systems

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.726750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ff623bb-f82c-4f37-810b-996ca568ab5f · outbound

This paper cites Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution.

FlowReasoner: Reinforcing Query-Level Meta-Agents Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.730370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fd4926d-6a75-49a4-baed-e20566a79929 · outbound

This paper cites Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and Mitigation.

FlowReasoner: Reinforcing Query-Level Meta-Agents Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and Mitigation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.734224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d72c98d-937d-4006-8ba3-bf96735209c3 · outbound

This paper cites Think before you speak: Training Language Models With Pause Tokens.

FlowReasoner: Reinforcing Query-Level Meta-Agents Think before you speak: Training Language Models With Pause Tokens

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.738000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f948012b-1672-40f5-add6-9a285914888c · outbound

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

FlowReasoner: Reinforcing Query-Level Meta-Agents Large Language Model based Multi-Agents: A Survey of Progress and Challenges

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.741754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 068e9572-f6c2-46dc-aa3b-ce2a4a167fc8 · outbound

This paper cites Training Large Language Models to Reason in a Continuous Latent Space.

FlowReasoner: Reinforcing Query-Level Meta-Agents Training Large Language Models to Reason in a Continuous Latent Space

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.745714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 496be0ba-5e3c-4c98-9d8e-d9388f6a060f · outbound

This paper cites MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework.

FlowReasoner: Reinforcing Query-Level Meta-Agents MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.749890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5313048-b584-4784-bc47-3e40f509af1c · outbound

This paper cites Automated Design of Agentic Systems.

FlowReasoner: Reinforcing Query-Level Meta-Agents Automated Design of Agentic Systems

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.754082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 856bfe62-c594-4e4f-8906-ca01107c0578 · outbound

This paper cites Ensemble learning for heterogeneous large language models with deep parallel collaboration.

FlowReasoner: Reinforcing Query-Level Meta-Agents Ensemble learning for heterogeneous large language models with deep parallel collaboration

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:03.899839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3caed995-6180-40bc-8cc7-e312e20000ea · outbound

This paper cites LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion.

FlowReasoner: Reinforcing Query-Level Meta-Agents LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.761414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e1e8a28-8308-4f94-a6db-8d899736a6ab · outbound

This paper cites CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation.

FlowReasoner: Reinforcing Query-Level Meta-Agents CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.765083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dfaa27a-9834-4235-bba5-19d998992f2b · outbound

This paper cites Dspy: Compiling declarative language model calls into state-of-the-art pipelines.

FlowReasoner: Reinforcing Query-Level Meta-Agents Dspy: Compiling declarative language model calls into state-of-the-art pipelines

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.768523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccc4b8a6-28ac-459a-96f1-330fcadfdded · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

FlowReasoner: Reinforcing Query-Level Meta-Agents OpenVLA: An Open-Source Vision-Language-Action Model

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.771898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d6ed369-59a4-4c20-97c9-6e8a625d6d5d · outbound

This paper cites Large language models are zero-shot reasoners.

FlowReasoner: Reinforcing Query-Level Meta-Agents Large language models are zero-shot reasoners

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.775136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06a11cc6-cf4b-4284-821e-2f9dee04e089 · outbound

This paper cites Training Language Models to Self-Correct via Reinforcement Learning.

FlowReasoner: Reinforcing Query-Level Meta-Agents Training Language Models to Self-Correct via Reinforcement Learning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.778415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fac1cf42-7911-44b7-86c9-fac7a3b22a32 · outbound

This paper cites Camel: Communicative agents for" mind" exploration of large language model society.

FlowReasoner: Reinforcing Query-Level Meta-Agents Camel: Communicative agents for" mind" exploration of large language model society

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.782699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b7f201a-6dbe-41f8-bed5-6fa3cfa0b3b8 · outbound

This paper cites AutoFlow: Automated Workflow Generation for Large Language Model Agents.

FlowReasoner: Reinforcing Query-Level Meta-Agents AutoFlow: Automated Workflow Generation for Large Language Model Agents

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.786523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0dce5db-5f88-456f-80de-4d7d785fe603 · outbound

This paper cites From System 1 to System 2: A Survey of Reasoning Large Language Models.

FlowReasoner: Reinforcing Query-Level Meta-Agents From System 1 to System 2: A Survey of Reasoning Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.790544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4571be96-ca5d-4144-b1a7-33dfc0fc0cdf · outbound

This paper cites Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate.

FlowReasoner: Reinforcing Query-Level Meta-Agents Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.795421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64661589-346e-4c86-8d84-2a2f8e53beb2 · outbound

This paper cites DeepSeek-V3 Technical Report.

FlowReasoner: Reinforcing Query-Level Meta-Agents DeepSeek-V3 Technical Report

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.799431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9aa1b39d-60c0-4301-b0af-7cc46bbf4eb1 · outbound

This paper cites Guardreasoner: Towards reasoning-based llm safeguards.

FlowReasoner: Reinforcing Query-Level Meta-Agents Guardreasoner: Towards reasoning-based llm safeguards

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.803298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 859d95a9-85c4-4b88-9cb6-c21064ab8cea · outbound

This paper cites Efficient Inference for Large Reasoning Models: A Survey.

FlowReasoner: Reinforcing Query-Level Meta-Agents Efficient Inference for Large Reasoning Models: A Survey

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.806889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc67433c-a673-4b19-918f-21179d8a5d0e · outbound

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

FlowReasoner: Reinforcing Query-Level Meta-Agents A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.810831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a73e0075-eb00-4604-a7cd-c1635c4f49cc · outbound

This paper cites Self-refine: Iterative refinement with self-feedback.

FlowReasoner: Reinforcing Query-Level Meta-Agents Self-refine: Iterative refinement with self-feedback

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.814822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation def952e7-9360-4358-938e-6ee339950b4d · outbound

This paper cites Introducing chatgpt.

FlowReasoner: Reinforcing Query-Level Meta-Agents Introducing chatgpt

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:03.863201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f97354c0-c452-42fd-aaba-ea38d6a6ef13 · outbound

This paper cites Learning to reason with llms.

FlowReasoner: Reinforcing Query-Level Meta-Agents Learning to reason with llms

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.822178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5768e77d-c2f5-4cd7-b7f7-aac023665b03 · outbound

This paper cites Introducing deep research.

FlowReasoner: Reinforcing Query-Level Meta-Agents Introducing deep research

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.825647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25276841-72a8-4459-8912-8825f6c5ffdd · outbound

This paper cites Generative agents: Interactive simulacra of human behavior.

FlowReasoner: Reinforcing Query-Level Meta-Agents Generative agents: Interactive simulacra of human behavior

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.829177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b65f49d-f70d-4826-94d7-a9134b7a1708 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

FlowReasoner: Reinforcing Query-Level Meta-Agents Direct preference optimization: Your language model is secretly a reward model

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.832689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8250f0dc-6800-40f0-9c80-818108c570a4 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

FlowReasoner: Reinforcing Query-Level Meta-Agents Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.836292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd0b24a9-3e7e-4d74-a1cd-8873193db485 · outbound

This paper cites Archon: An Architecture Search Framework for Inference-Time Techniques.

FlowReasoner: Reinforcing Query-Level Meta-Agents Archon: An Architecture Search Framework for Inference-Time Techniques

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.840034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f12c40db-e149-4d37-a2e4-abb881cc6914 · outbound

This paper cites AgentSquare: Automatic LLM Agent Search in Modular Design Space.

FlowReasoner: Reinforcing Query-Level Meta-Agents AgentSquare: Automatic LLM Agent Search in Modular Design Space

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.843850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7a4787e-f1cf-4d0a-bd09-ccce9493e203 · outbound

This paper cites The claude 3 model family: Opus, sonnet, haiku.

FlowReasoner: Reinforcing Query-Level Meta-Agents The claude 3 model family: Opus, sonnet, haiku

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:03.823368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 50801d10-ccd3-4db1-9db0-4b7a87f24784 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

FlowReasoner: Reinforcing Query-Level Meta-Agents DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.851468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fab7a91e-1915-4430-8dd8-00f81f511d7b · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

FlowReasoner: Reinforcing Query-Level Meta-Agents Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.854830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d859234-2fcc-4321-9420-c65881c939c5 · outbound

This paper cites Qvq: To see the world with wisdom.

FlowReasoner: Reinforcing Query-Level Meta-Agents Qvq: To see the world with wisdom

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:03.809696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 50cf5a25-ce03-4f6d-aecd-381331186b5b · outbound

This paper cites Qwq: Reflect deeply on the boundaries of the unknown.

FlowReasoner: Reinforcing Query-Level Meta-Agents Qwq: Reflect deeply on the boundaries of the unknown

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:03.797004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2a180205-0594-445e-b1bd-9bc3ed59fca9 · outbound

This paper cites Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models.

FlowReasoner: Reinforcing Query-Level Meta-Agents Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.865568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a41fbf5-200c-4f0b-a399-205d9a46a1b9 · outbound

This paper cites ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization.

FlowReasoner: Reinforcing Query-Level Meta-Agents ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.869499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83cdc08a-00e6-4f8c-a44c-54f419efd299 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

FlowReasoner: Reinforcing Query-Level Meta-Agents Chain-of-thought prompting elicits reasoning in large language models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.873528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 010ec3b8-bef6-4bad-acbb-dda3bdbb31a5 · outbound

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

FlowReasoner: Reinforcing Query-Level Meta-Agents AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.877372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c16616f6-8e6d-4feb-91fc-81ad27f91c81 · outbound

This paper cites Qwen2.5 Technical Report.

FlowReasoner: Reinforcing Query-Level Meta-Agents Qwen2.5 Technical Report

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.881412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9e61750-ab67-48b6-a4f8-847be4119f5f · outbound

This paper cites Large Language Models as Optimizers.

FlowReasoner: Reinforcing Query-Level Meta-Agents Large Language Models as Optimizers

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.885446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d2b30e3-8299-4198-a79e-c2a42622750a · outbound

This paper cites EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms.

FlowReasoner: Reinforcing Query-Level Meta-Agents EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.889308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95f3911b-9627-40b1-b67a-53ef04be3f09 · outbound

This paper cites TextGrad: Automatic "Differentiation" via Text.

FlowReasoner: Reinforcing Query-Level Meta-Agents TextGrad: Automatic "Differentiation" via Text

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.892788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 437003ba-baaa-4ea2-a019-d3c0a85ad6e9 · outbound

This paper cites G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks.

FlowReasoner: Reinforcing Query-Level Meta-Agents G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.896957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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 6a4f8aa4-20d9-41c2-be71-410efa1ebf2d · outbound

This paper cites AFlow: Automating Agentic Workflow Generation.

FlowReasoner: Reinforcing Query-Level Meta-Agents AFlow: Automating Agentic Workflow Generation

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.906655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5527c9fe-f56f-41ec-9eba-a8b30c832d99 · outbound

This paper cites Offline training of language model agents with functions as learnable weights.

FlowReasoner: Reinforcing Query-Level Meta-Agents Offline training of language model agents with functions as learnable weights

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:03.777385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 771ec4f1-d47b-4c06-a52d-9aa89862b343 · outbound

This paper cites LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.

FlowReasoner: Reinforcing Query-Level Meta-Agents LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.914961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac190166-2c5b-4d9d-994c-c76f085a12c2 · outbound

This paper cites Self-discover: Large language models self-compose reasoning structures.

FlowReasoner: Reinforcing Query-Level Meta-Agents Self-discover: Large language models self-compose reasoning structures

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:03.766062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ef85d6aa-3eeb-4cc3-aee8-355bf9fef6a5 · outbound

This paper cites Symbolic Learning Enables Self-Evolving Agents.

FlowReasoner: Reinforcing Query-Level Meta-Agents Symbolic Learning Enables Self-Evolving Agents

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.922901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5086f990-42c7-45b8-b3dc-397c5cf773b3 · outbound

This paper cites Mindstorms in natural language-based societies of mind.

FlowReasoner: Reinforcing Query-Level Meta-Agents Mindstorms in natural language-based societies of mind

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.926969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ab487e7-92c1-4de5-9da2-d23aa5999d34 · outbound

This paper cites Gptswarm: Language agents as optimizable graphs.

FlowReasoner: Reinforcing Query-Level Meta-Agents Gptswarm: Language agents as optimizable graphs

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.930955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f501999-c2ae-485e-843c-b89881e7923a · outbound

This paper cites BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions.

FlowReasoner: Reinforcing Query-Level Meta-Agents BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.934738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 1d0c77ce-042c-467e-a1a3-8002a524dab7 · inbound

UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs cites this paper.

UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs FlowReasoner: Reinforcing Query-Level Meta-Agents

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T17:44:03.765759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c4d1528-a51b-4f91-89a1-44542b429875 · inbound

G1: Bootstrapping Perception and Reasoning Abilities of Vision-Language Model via Reinforcement Learning cites this paper.

G1: Bootstrapping Perception and Reasoning Abilities of Vision-Language Model via Reinforcement Learning FlowReasoner: Reinforcing Query-Level Meta-Agents

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:40.459605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0403561-f31d-4c25-9f6d-771c7d7002fe · inbound

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

MermaidFlow: Redefining Agentic Workflow Generation via Safety-Constrained Evolutionary Programming FlowReasoner: Reinforcing Query-Level Meta-Agents

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:07.280769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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 d71509ef-f199-496f-98c6-638059431cc9 · 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 FlowReasoner: Reinforcing Query-Level Meta-Agents

Reference 274

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T22:23:15.343837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3cca4135-475c-4b29-b9ae-3aa42e41fc93 · inbound

Graph-Augmented Large Language Model Agents: Current Progress and Future Prospects cites this paper.

Graph-Augmented Large Language Model Agents: Current Progress and Future Prospects FlowReasoner: Reinforcing Query-Level Meta-Agents

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T12:51:59.079387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 550ee823-b7fd-4278-a5d6-657e204c8381 · 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 FlowReasoner: Reinforcing Query-Level Meta-Agents

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-15T23:21:42.385695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b23e3449-b1b4-4a96-bde0-cb72041969ff · inbound

ARM: Discovering Agentic Reasoning Modules for Generalizable Multi-Agent Systems cites this paper.

ARM: Discovering Agentic Reasoning Modules for Generalizable Multi-Agent Systems FlowReasoner: Reinforcing Query-Level Meta-Agents

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T20:50:36.706338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8f1186a3-292a-422e-93e9-bf05475ea59f · inbound

SEVerA: Verified Synthesis of Self-Evolving Agents cites this paper.

SEVerA: Verified Synthesis of Self-Evolving Agents FlowReasoner: Reinforcing Query-Level Meta-Agents

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:38:23.510479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 15d595bf-8285-4af7-b04c-edc22189e5ff · inbound

SkillGraph: Self-Evolving Multi-Agent Collaboration with Multimodal Graph Topology cites this paper.

SkillGraph: Self-Evolving Multi-Agent Collaboration with Multimodal Graph Topology FlowReasoner: Reinforcing Query-Level Meta-Agents

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T05:25:54.988476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c0402598-6857-41d4-a237-bc5377409584 · inbound

AIPO: Learning to Reason from Active Interaction cites this paper.

AIPO: Learning to Reason from Active Interaction FlowReasoner: Reinforcing Query-Level Meta-Agents

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:06:31.780262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f8bfd9f9-a150-4d84-ae80-6f2d76acc975 · inbound

AIPO: Learning to Reason from Active Interaction cites this paper.

AIPO: Learning to Reason from Active Interaction FlowReasoner: Reinforcing Query-Level Meta-Agents

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-19T18:07:42.383559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 456905a1-f2c5-4868-bba3-68eef1f753a9 · inbound

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

LEMON: Learning Executable Multi-Agent Orchestration via Counterfactual Reinforcement Learning FlowReasoner: Reinforcing Query-Level Meta-Agents

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:18:31.440337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2404ddf3-f9ea-477a-8465-3e39a588f282 · inbound

Towards Direct Evaluation of Harness Optimizers via Priority Ranking cites this paper.

Towards Direct Evaluation of Harness Optimizers via Priority Ranking FlowReasoner: Reinforcing Query-Level Meta-Agents

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-22T06:14:40.474336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bb8e85e9-97ff-4190-8249-b9ee54a272da · inbound

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems cites this paper.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems FlowReasoner: Reinforcing Query-Level Meta-Agents

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:12:50.129033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f4c757ef-ebd4-4afa-a2e1-36c6f7cc922c · inbound

From Player to Master: Enhancing Test-Time Learning of LLM Agents via Reinforcement Learning over Memory cites this paper.

From Player to Master: Enhancing Test-Time Learning of LLM Agents via Reinforcement Learning over Memory FlowReasoner: Reinforcing Query-Level Meta-Agents

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T22:37:25.603588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 68475208-adf8-43c2-83ba-bdc56b22a43a · inbound

Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application cites this paper.

Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application FlowReasoner: Reinforcing Query-Level Meta-Agents

Reference 279

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T10:58:02.903868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b136fec9-b0a9-4caa-8601-128eabc38303 · inbound

SQLConductor: Search-to-Policy Learning for Step-wise Text-to-SQL Orchestration cites this paper.

SQLConductor: Search-to-Policy Learning for Step-wise Text-to-SQL Orchestration FlowReasoner: Reinforcing Query-Level Meta-Agents

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-04T12:39:49.614349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fc9739a4-6160-461d-98e4-cf3eb69d0ba1 · inbound

A Workflow-Aware Serving Layer for Agentic Applications cites this paper.

A Workflow-Aware Serving Layer for Agentic Applications FlowReasoner: Reinforcing Query-Level Meta-Agents

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-12T05:56:18.797766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5c1a9ac-5745-4382-bbed-f61ffedad3a0 · inbound

Mathematical methods of reinforcement learning cites this paper.

Mathematical methods of reinforcement learning FlowReasoner: Reinforcing Query-Level Meta-Agents

Reference 118

Resolution: verified exact; local_arxiv, observed 2026-07-09T22:56:37.767436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f02e287d-aa12-41e9-9002-3ccd3bf397fe · inbound

Who Broke the System? Failure Localization in LLM-Based Multi-Agent Systems cites this paper.

Who Broke the System? Failure Localization in LLM-Based Multi-Agent Systems FlowReasoner: Reinforcing Query-Level Meta-Agents

Reference 64

Resolution: verified exact; local_arxiv, observed 2026-07-10T14:17:10.148893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d20a202d-5868-4dd5-a57e-e055f32996dd · 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 FlowReasoner: Reinforcing Query-Level Meta-Agents

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T16:08:11.749229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.