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Paper Citation Record · LEDGER

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills

As of 6 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2607.21596.

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

pith.paper-citation-record.v1
2607.21596 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T16:08:11.864924Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

52 of 52 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved52
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eb22a789-9acd-48de-9e89-ce2aac324bf3 · outbound

This paper cites 2024 , eprint =.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills 2024 , eprint =

Reference 1

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no resolver link, observed 2026-08-02T16:08:11.714046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T16:08:11.714046Z digest=sha256:1f4b2c953c63a2374c806eb1c0b8c29c7c80a059256f48e051645151974fed01

Observation a93498fd-89ca-4b94-996f-5a7f033ab698 · outbound

This paper cites AFlow: Automating Agentic Workflow Generation.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills AFlow: Automating Agentic Workflow Generation

Reference 2

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source=arxiv_source observed=2026-08-02T16:08:11.717779Z digest=sha256:9eb7ea8135d9c12bede990568b08980c8f7041f5ee8c6d6e3585a6ba1538ee4f

Observation 610d033c-a332-478e-83b9-4d91b888d502 · outbound

This paper cites 2024 , eprint =.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills 2024 , eprint =

Reference 3

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no resolver link, observed 2026-08-02T16:08:11.721382Z

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source=arxiv_source observed=2026-08-02T16:08:11.721382Z digest=sha256:c7e48014ab885f96dd54ef7618d3965571fb98edeab199d90b8889542e868635

Observation dbcecff6-c162-42a0-8c59-8521eb9274a2 · outbound

This paper cites SkillWeaver: Web Agents can Self-Improve by Discovering and Honing Skills.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills SkillWeaver: Web Agents can Self-Improve by Discovering and Honing Skills

Reference 4

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source=arxiv_source observed=2026-08-02T16:08:11.724617Z digest=sha256:7c27374f8e7f4063c498c2469c3bbe55c530dbd5b9dd94a8a87c1b811c7571d3

Observation 4891aeb2-1db5-4a80-a0f7-d6f62323356b · outbound

This paper cites Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents

Reference 5

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T16:08:11.727866Z digest=sha256:97fe38d6aca55720477efd2253a7cda93dccadc8b39b9c640a0ebb6faca64a01

Observation 318c6799-77d7-4674-9ddc-0d56def08412 · outbound

This paper cites 2024 , eprint =.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills 2024 , eprint =

Reference 6

Resolution
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no resolver link, observed 2026-08-02T16:08:11.731127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T16:08:11.731127Z digest=sha256:3785f3038059638f88ec65e6e748ec67d349830968a99110b7e16bb58a01c1e5

Observation ee3510db-40f9-4e06-b355-9cb13b89e593 · outbound

This paper cites MemRL: Self-Evolving Agents via Runtime Reinforcement Learning on Episodic Memory.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills MemRL: Self-Evolving Agents via Runtime Reinforcement Learning on Episodic Memory

Reference 7

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source=arxiv_source observed=2026-08-02T16:08:11.734248Z digest=sha256:694ddbe9819569b1637156a2dcb5b54f5cf738c80eeacfb882bf15d4c8373454

Observation aae4220a-e20a-48d7-ae5e-8200d868303d · outbound

This paper cites 2602.02369 , archivePrefix=.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills 2602.02369 , archivePrefix=

Reference 8

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no resolver link, observed 2026-08-02T16:08:11.737396Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T16:08:11.737396Z digest=sha256:58bd9fd914ef535699eba7820b5e78a924fda475bf75b8fc14e2966d1e5ab76d

Observation bb7e56cf-a79e-4b96-8720-54bd67cb0526 · outbound

This paper cites 2603.05578 , archivePrefix=.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills 2603.05578 , archivePrefix=

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T16:08:11.740426Z digest=sha256:98f803b29143cc4ed3f604b1a20120fc946ee2bb1fd10dc333d4fba49ba0d873

Observation ec046a62-81a4-4740-986b-e4d258fcc664 · outbound

This paper cites arXiv preprint arXiv:2509.21834 , year=.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills arXiv preprint arXiv:2509.21834 , year=

Reference 10

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source=arxiv_source observed=2026-08-02T16:08:11.743517Z digest=sha256:fd223c5788fcecd2c73866d85b76f854894c2292f969ead383628eb66c9909b4

Observation 31236fea-7e64-439e-9b47-cc9984390910 · outbound

This paper cites arXiv preprint arXiv:2602.11114 , year=.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills arXiv preprint arXiv:2602.11114 , year=

Reference 11

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source=arxiv_source observed=2026-08-02T16:08:11.746457Z digest=sha256:15b25a1780d1ead54f496ecc49a0f2d1de6a3db0286404b53d57d023bf520b9f

Observation d20a202d-5868-4dd5-a57e-e055f32996dd · outbound

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

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills FlowReasoner: Reinforcing Query-Level Meta-Agents

Reference 12

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source=arxiv_source observed=2026-08-02T16:08:11.749229Z digest=sha256:8bdaf0c810a0bdc35d4464771e23511ea94bbd125ba8c3ab25be42c0353d3811

Observation 985590bc-4530-48de-9d88-08d8dea44a55 · outbound

This paper cites arXiv preprint arXiv:2601.21123 , year=.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills arXiv preprint arXiv:2601.21123 , year=

Reference 13

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T16:08:11.752616Z digest=sha256:d0d7a71d217c8f8518b582459140a86e44a34b0aa64db34a1fc286150e0b9f93

Observation 01b26a78-52bb-4f78-add1-fa68eb943e3f · outbound

This paper cites arXiv preprint arXiv:2602.13312 , year=.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills arXiv preprint arXiv:2602.13312 , year=

Reference 14

Resolution
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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T16:08:11.755689Z digest=sha256:1b2f16a3f2bf9b268280e9065573cdfe186bd6fc332cee15406ad05c8cab354b

Observation 689c9664-2d66-48fa-9e2b-80feda11857e · outbound

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

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization

Reference 15

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no resolver link, observed 2026-08-02T16:08:11.758646Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T16:08:11.758646Z digest=sha256:d7ffffe4ed416ef9462076089e4d88ebbfb870922e8cb95ca8f61a05cd550610

Observation 66c8e8d7-5041-444b-9684-e51a86791a4f · outbound

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

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills MermaidFlow: Redefining Agentic Workflow Generation via Safety-Constrained Evolutionary Programming

Reference 16

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T16:08:11.762006Z digest=sha256:ace2cb044c451d3f0fb36226f36c7b55f1792090e782bfdf12c365b13bb234c4

Observation 2f436639-1e3a-4f94-8183-d8c55996fb76 · outbound

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

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills TextGrad: Automatic "Differentiation" via Text

Reference 17

Resolution
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no resolver link, observed 2026-08-02T16:08:11.764973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T16:08:11.764973Z digest=sha256:1357a2c82ae879dbe702c14498f590beed0fb9a31ea328d2293e30616397a9cd

Observation 7ffb1b51-c202-4058-b360-06a4b74926c1 · outbound

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

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

Reference 18

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source=arxiv_source observed=2026-08-02T16:08:11.768000Z digest=sha256:6e21b4580a096998fdf89a376cccf9b01457e4e09d4dd9f77936d00e8dea40f2

Observation f066ddea-3f43-432f-9670-36f746cd5449 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 19

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no resolver link, observed 2026-08-02T16:08:11.771237Z

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source=arxiv_source observed=2026-08-02T16:08:11.771237Z digest=sha256:48bd63ab962a688afd4bdb36e563544d44688aceb53097e9ee67077a8593aad1

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

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

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

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T16:08:11.774000Z digest=sha256:f33bfdc1347ba73b64724782d20dad4c76beffcf384719f0269d43b810bacff1

Observation 21551fdd-f7bd-405d-984c-8427625d293e · outbound

This paper cites Transactions on Machine Learning Research , year=.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills Transactions on Machine Learning Research , year=

Reference 21

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T16:08:11.776844Z digest=sha256:c008176c103949532171bb25b66e8051126928826a031e0d4395c1d759344fb1

Observation bb19df83-2ac6-44f3-b16b-bd631de2f4f5 · outbound

This paper cites Proceedings of the 36th annual acm symposium on user interface software and technology , pages=.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills Proceedings of the 36th annual acm symposium on user interface software and technology , pages=

Reference 22

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no resolver link, observed 2026-08-02T16:08:11.779508Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T16:08:11.779508Z digest=sha256:b150174937b212b552828deb5631840875aa643d054164a34745b2d4c80f67cf

Observation bbe6c72a-6622-4f77-9a6f-85fb3f976cb9 · outbound

This paper cites Findings of the Association for Computational Linguistics: EMNLP 2023 , pages=.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills Findings of the Association for Computational Linguistics: EMNLP 2023 , pages=

Reference 23

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T16:08:11.782297Z digest=sha256:30090c48e995372da2d7f83612b0be327786adef74bc3302e215b9e3c230251f

Observation 2a7cc018-262f-479a-a52c-59e907df079f · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 24

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T16:08:11.785124Z digest=sha256:eb5ace2df7d4ed8ac85f0766e44e6fcba11dee8000ee6fe8724692ff335f63d5

Observation 7de1fbe5-a3a3-4d11-82c4-2d53d2babe3a · outbound

This paper cites Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory

Reference 25

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T16:08:11.788315Z digest=sha256:88bfede93b1a1899c4f2f5512cef862900eff31cc95880256bc9ed82a60cd5b9

Observation a8dae4da-c64f-444a-b9d6-0b9c739e9ff6 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills Evaluating Large Language Models Trained on Code

Reference 26

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no resolver link, observed 2026-08-02T16:08:11.791144Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T16:08:11.791144Z digest=sha256:e1d06fd891fb831e2508ee3e62cda1bb36411a20ae5e9bcc250c34c75dd0b809

Observation 56b0122f-1264-421b-a46c-d693ef11dbc7 · outbound

This paper cites Program Synthesis with Large Language Models.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills Program Synthesis with Large Language Models

Reference 27

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no resolver link, observed 2026-08-02T16:08:11.793885Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T16:08:11.793885Z digest=sha256:806a10ea3583350aa661c7a421dbe1a96647d1e83e7e89038fca2eb204d3da09

Observation be7c36c8-75a6-45ee-896e-351ab2086c95 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills Training Verifiers to Solve Math Word Problems

Reference 28

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no resolver link, observed 2026-08-02T16:08:11.796864Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T16:08:11.796864Z digest=sha256:ab0370f0cc7fbe219fa585ac6bb228f6563d09cb28950c021e5c342b49050e2f

Observation 4a96f0b5-3aaf-4bbe-a22f-c71bf1a156ed · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills Measuring Mathematical Problem Solving With the MATH Dataset

Reference 29

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no resolver link, observed 2026-08-02T16:08:11.799884Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T16:08:11.799884Z digest=sha256:b1e445dd3add1c1adbf0e5555f5af923a7516d703f7f3a8ac79dc87638fcf8f8

Observation d12ffffc-3483-47dc-8e86-58d2445ba29e · outbound

This paper cites Large Language Models as Tool Makers.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills Large Language Models as Tool Makers

Reference 30

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no resolver link, observed 2026-08-02T16:08:11.802816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T16:08:11.802816Z digest=sha256:53b3613b0b14a3bcbfeb12d9618be5f23a136c8de4e4177eb7210a7a60dd9ed9

Observation 7a3762a2-f8e6-48f2-b76a-3c3bc64cc1e6 · outbound

This paper cites CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets

Reference 31

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no resolver link, observed 2026-08-02T16:08:11.805805Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T16:08:11.805805Z digest=sha256:bf25fa2f3d4c3615b03364bb5e6615550a4378b58509c0fb316a79a7717b9a03

Observation ce3be3fb-f0e0-41f6-b430-d52f6dc611f4 · outbound

This paper cites TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic Tasks.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic Tasks

Reference 32

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T16:08:11.808668Z digest=sha256:6d75b80fe1a69a5a35b6a81cd2ee78891de9675bb9b6b7cf24dbfae8c97304f7

Observation 890e8779-aa23-4883-9e95-3e7dd99632fd · outbound

This paper cites ACM Transactions on Information Systems , volume=.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills ACM Transactions on Information Systems , volume=

Reference 33

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no resolver link, observed 2026-08-02T16:08:11.811499Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T16:08:11.811499Z digest=sha256:98aed411730c35be1e8ceff9c1afe52495f2d1bd4403d42fa18dbd1e2e217698

Observation f4445e5f-6c77-4a7f-aa0a-e82ea4f88c53 · outbound

This paper cites A-MEM: Agentic Memory for LLM Agents.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills A-MEM: Agentic Memory for LLM Agents

Reference 34

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T16:08:11.814299Z digest=sha256:cd6582aef47303ebab012c0bd49b34cdccb7934dfe0787a0748635bb489ce27f

Observation a0a7d72d-f51e-4a87-aedc-ca64c5c586d5 · outbound

This paper cites arXiv preprint arXiv:2506.14852 , year=.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills arXiv preprint arXiv:2506.14852 , year=

Reference 35

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no resolver link, observed 2026-08-02T16:08:11.817135Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T16:08:11.817135Z digest=sha256:552413d5399e109c531423b3b45914b9c94733224b5f0c1cc0cf11946b1a7365

Observation caf1fb6d-a146-46f8-9567-27e864cf8a61 · outbound

This paper cites Reinforcement Learning for Self-Improving Agent with Skill Library.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills Reinforcement Learning for Self-Improving Agent with Skill Library

Reference 36

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no resolver link, observed 2026-08-02T16:08:11.819662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T16:08:11.819662Z digest=sha256:67ddb1b2bec4c67a986a790406c3a06e007b66d00cec5f0041ff94be6c35dac3

Observation 13f34929-ddc1-4e17-82ec-f5bb351b00aa · outbound

This paper cites SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-02T16:08:11.822479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T16:08:11.822479Z digest=sha256:4839ebcf31bf87a15e02a15af8254112aea708abb37b8723bf1f7660b67101f5

Observation d79bc60a-291f-44d1-9081-4b8bdb106045 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills Advances in Neural Information Processing Systems , volume=

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-02T16:08:11.825340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T16:08:11.825340Z digest=sha256:11796ec9a23ce5b1440d341c193732557b68e2c7f9ddf74c35949edeb09a303c

Observation 4b1565d3-1bb5-4207-9fa1-9cfe9308f74e · outbound

This paper cites Advances in neural information processing systems , volume=.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills Advances in neural information processing systems , volume=

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-02T16:08:11.828065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T16:08:11.828065Z digest=sha256:de4a0838ad2fe88a80fb7b88c1f4b9806930484faf9b002145d4216c63700271

Observation 761a475d-0e6d-45c5-8f77-25d019b94fd6 · outbound

This paper cites an unresolved cited work.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills Unresolved cited work

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-02T16:08:11.830720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T16:08:11.830720Z digest=sha256:da724f7cd1cd48f590370d46616985588d449bac452304bfe6218421b3ae8dbe

Observation 532c34f4-7f60-41c9-9046-d9d688ff1022 · outbound

This paper cites arXiv preprint arXiv:2603.22386 , year=.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills arXiv preprint arXiv:2603.22386 , year=

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-02T16:08:11.833248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T16:08:11.833248Z digest=sha256:de090705e37f949ef61a4d97e2de6ef233e4f24ab839c1bb18f56c04a55996cf

Observation 945e353d-ce4e-4bcb-8d23-037b0c2abc34 · outbound

This paper cites ALFWorld: Aligning Text and Embodied Environments for Interactive Learning.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-02T16:08:11.836212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T16:08:11.836212Z digest=sha256:fca6bbc81ccd0a552bd64e2e5fa694dbdac57ff0546992503b7006af378dcfa8

Observation 734ed143-57e8-4c41-8321-268ec154af46 · outbound

This paper cites arXiv e-prints , pages=.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills arXiv e-prints , pages=

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-02T16:08:11.839449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T16:08:11.839449Z digest=sha256:2b8392ff8c60f850be07efb7fc68b27e3d1db3c390b6a7c8e6b64fe48949a6fd

Observation 3c1e4f0e-6cdf-4a0a-8d7c-bede2364b635 · outbound

This paper cites The eleventh international conference on learning representations , year=.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills The eleventh international conference on learning representations , year=

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-02T16:08:11.842253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T16:08:11.842253Z digest=sha256:51bfd7c542a674753d573dbb4efda5e8234e8edcaf645038a33b87bc8280a1c0

Observation 6df8d162-da87-4e3e-974b-5730e9368d02 · outbound

This paper cites Advances in neural information processing systems , volume=.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills Advances in neural information processing systems , volume=

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-02T16:08:11.844966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T16:08:11.844966Z digest=sha256:c703835b4b8fe2506a44521cf8ae2292cf6a93f9e59e941dc1b4a21399c0dd99

Observation c0ef6f66-37f6-4a96-8188-4ce1150bd325 · outbound

This paper cites 2025 , publisher=.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills 2025 , publisher=

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-02T16:08:11.847534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T16:08:11.847534Z digest=sha256:d6198bb254644a54ef72b9c70feb15f6e62a7f8c2629098484da42fb4f5a7d4c

Observation bf39139e-5966-4bfa-9b32-72ca75f819bd · outbound

This paper cites arXiv preprint arXiv:2509.05941 , year=.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills arXiv preprint arXiv:2509.05941 , year=

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-02T16:08:11.850519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T16:08:11.850519Z digest=sha256:fef2dd07e15642bcd57ecd773d2c7bfa80b70a36d69979103c9be45ddc01494b

Observation ed85fd3c-7dc9-4633-9343-ce3e3267df1d · outbound

This paper cites Don't Overthink It: A Survey of Efficient R1-style Large Reasoning Models.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills Don't Overthink It: A Survey of Efficient R1-style Large Reasoning Models

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-02T16:08:11.853286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T16:08:11.853286Z digest=sha256:d384e20e193be916cc696873364d485cf5da8bb2d48a899eb6a5c4bc8387900a

Observation 1cc2f881-d8ea-4675-bce2-371dca131f5d · outbound

This paper cites arXiv preprint arXiv:2510.23587 , year=.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills arXiv preprint arXiv:2510.23587 , year=

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-02T16:08:11.856516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T16:08:11.856516Z digest=sha256:36dd95ea1ca893fa0c78337133440e54df06ffe5c26983382838e0278643b621

Observation 6e20dd13-37dd-4613-8e16-99b348264019 · outbound

This paper cites ToolRosella: Translating Code Repositories into Standardized Tools for Scientific Agents.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills ToolRosella: Translating Code Repositories into Standardized Tools for Scientific Agents

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-02T16:08:11.859120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T16:08:11.859120Z digest=sha256:2683409e458616f8c735a396da5cdcf0e33386884a82485e0c8c1ba2d5276374

Observation fd2fca0b-c27b-404b-bb86-76c331c9bf00 · outbound

This paper cites an unresolved cited work.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills Unresolved cited work

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-02T16:08:11.862301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T16:08:11.862301Z digest=sha256:eb1f607b65d4a09acd3497358d32273314ce81e4812a915e2834818249dec2d9

Observation bacdedc7-be62-41f9-aade-f980f9f9eb5a · outbound

This paper cites RemoteAgent: Bridging Vague Human Intents and Earth Observation with RL-based Agentic MLLMs.

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills RemoteAgent: Bridging Vague Human Intents and Earth Observation with RL-based Agentic MLLMs

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-02T16:08:11.864924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T16:08:11.864924Z digest=sha256:a87818f7ed03f12d4d7aa5e6286bc41786603b02cd0684dbdad47acae80fa457

Pith citing papers

No inbound Pith citation observations are available.