Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-14T04:44:42.371749Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2607.11565.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-14T04:44:42.371749Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
35 of 35 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 85eb0089-2ca2-4bc0-a15f-cfdfee2a327b · outbound
Heuristic Learning for Active Flow Control Using Coding Agents Vincent Belus, Jean Rabault, Jonathan Viquerat, Zhizhao Che, Elie Hachem, and Ulysse Reglade
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f24e6ce1-935b-41b4-994f-b2c5e1f04e3b · outbound
Heuristic Learning for Active Flow Control Using Coding Agents Gerben Beintema, Alessandro Corbetta, Luca Biferale, and Federico Toschi
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation c0e21613-bdf5-4a7c-9bf9-9b3725273396 · outbound
Heuristic Learning for Active Flow Control Using Coding Agents Elie Hachem, H
Reference 3
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Observation ef636b84-2a25-4e10-82d7-dcb582c57db6 · outbound
Heuristic Learning for Active Flow Control Using Coding Agents Unresolved cited work
Reference 4
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Unavailable: canonical work link unavailable.
Observation 046f93e8-88db-4657-aa80-1c15c91819ac · outbound
Heuristic Learning for Active Flow Control Using Coding Agents Siddhartha Verma, Guido Novati, and Petros Koumoutsakos
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation c894699e-d299-4087-89cc-29ed1107d0a5 · outbound
Heuristic Learning for Active Flow Control Using Coding Agents Jonathan Viquerat, Jean Rabault, Alexander Kuhnle, Hassan Ghraieb, Aurélien Larcher, and Elie Hachem
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2e69a357-72e1-40bd-8f8f-f0081db7fcde · outbound
Heuristic Learning for Active Flow Control Using Coding Agents Dixia Fan, Liu Yang, Zhicheng Wang, Michael S
Reference 7
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Unavailable: canonical work link unavailable.
Observation ee8cd1cf-9a4f-4f16-bb78-031d5eeece58 · outbound
Heuristic Learning for Active Flow Control Using Coding Agents Jean Rabault and Alexander Kuhnle
Reference 8
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Unavailable: canonical work link unavailable.
Observation 790632fd-e784-466f-af5a-8d7be2e63df5 · outbound
Heuristic Learning for Active Flow Control Using Coding Agents Jonathan Viquerat and Elie Hachem
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bfa643fd-3f84-4774-9cca-4b518dbf7203 · outbound
Heuristic Learning for Active Flow Control Using Coding Agents Unresolved cited work
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 96ef7870-4715-490f-a3db-ae778572ad45 · outbound
Heuristic Learning for Active Flow Control Using Coding Agents Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a0ce6ad1-b7df-4333-8fb1-d32335ca86ef · outbound
Heuristic Learning for Active Flow Control Using Coding Agents Gomez, Lukasz Kaiser, and Illia Polosukhin
Reference 12
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Unavailable: canonical work link unavailable.
Observation 924c4649-52b4-42cb-96ef-e1cf5751ab68 · outbound
Heuristic Learning for Active Flow Control Using Coding Agents Evaluating Large Language Models Trained on Code
Reference 14
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Unavailable: canonical work link unavailable.
Observation fb7f2fbf-c3c9-4092-a280-8dd243b01b25 · outbound
Heuristic Learning for Active Flow Control Using Coding Agents Anthropic
Reference 15
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Observation 6c1e9b97-2215-4bd5-ae3c-a827b1bb261c · outbound
Heuristic Learning for Active Flow Control Using Coding Agents Introducing the codex app
Reference 16
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Unavailable: canonical work link unavailable.
Observation 9aaf3db7-9f20-4f98-93a1-13066bf45a2a · outbound
Heuristic Learning for Active Flow Control Using Coding Agents Feng Ren, Jean Rabault, and Hui Tang
Reference 17
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Unavailable: canonical work link unavailable.
Observation 5764d328-0a9e-4d95-8065-e30fb34066c1 · outbound
Heuristic Learning for Active Flow Control Using Coding Agents Paul Garnier, Jonathan Viquerat, Jean Rabault, Aurélien Larcher, Alexander Kuhnle, and Elie Hachem
Reference 18
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Unavailable: canonical work link unavailable.
Observation 1bd35c3c-d5db-46a2-8ec0-aa681393e56f · outbound
Heuristic Learning for Active Flow Control Using Coding Agents 2021.104973
Reference 19
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Unavailable: canonical work link unavailable.
Observation d619cd80-480d-4ee1-b405-01668b85f051 · outbound
Heuristic Learning for Active Flow Control Using Coding Agents Emanuel Todorov, Tom Erez, and Yuval Tassa
Reference 20
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Unavailable: canonical work link unavailable.
Observation 831b2650-2b48-43e9-8521-9506fb9556fd · outbound
Heuristic Learning for Active Flow Control Using Coding Agents Unresolved cited work
Reference 21
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Unavailable: canonical work link unavailable.
Observation f1e6fdd9-5e72-4735-b105-429cf61baff0 · outbound
Heuristic Learning for Active Flow Control Using Coding Agents Jannis Becktepe, Aleksandra Franz, Nils Thuerey, and Sebastian Peitz
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 14f64a54-58bd-4bb1-b304-17e315ce1da9 · outbound
Heuristic Learning for Active Flow Control Using Coding Agents Plug-and-Play Benchmarking of Reinforcement Learning Algorithms for Large-Scale Flow Control
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2a9c5ece-1b3e-4ee8-ae05-258335f07db5 · outbound
Heuristic Learning for Active Flow Control Using Coding Agents GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
Reference 24
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Unavailable: canonical work link unavailable.
Observation faa636a4-b382-437e-bdca-723a4f9ea488 · outbound
Heuristic Learning for Active Flow Control Using Coding Agents Automatic Prompt Optimization with "Gradient Descent" and Beam Search
Reference 25
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Unavailable: canonical work link unavailable.
Observation 28752b13-c636-4131-a940-388aa997969c · outbound
Heuristic Learning for Active Flow Control Using Coding Agents Self-refine: Iterative refinement with self-feedback.Advances in neural information processing systems, 36:46534–46594,
Reference 26
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Unavailable: canonical work link unavailable.
Observation 25f1451d-cbae-4a7d-8052-13ae3e423aba · outbound
Heuristic Learning for Active Flow Control Using Coding Agents TextGrad: Automatic "Differentiation" via Text
Reference 27
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Unavailable: canonical work link unavailable.
Observation 4f79d55a-0418-43b7-9e2f-f452da6a0f05 · outbound
Heuristic Learning for Active Flow Control Using Coding Agents AlphaEvolve: A coding agent for scientific and algorithmic discovery
Reference 28
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Observation f8251422-9507-49b9-bb52-3fa158c849cf · outbound
Heuristic Learning for Active Flow Control Using Coding Agents Evolution through Large Models
Reference 29
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Unavailable: canonical work link unavailable.
Observation 27817339-906b-449c-bd8f-7d42c7eaaf98 · outbound
Heuristic Learning for Active Flow Control Using Coding Agents AFlow: Automating Agentic Workflow Generation
Reference 30
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Unavailable: canonical work link unavailable.
Observation 84b61347-58df-44be-88a4-eac6373f5a14 · outbound
Heuristic Learning for Active Flow Control Using Coding Agents What learning algorithm is in-context learning? Investigations with linear models
Reference 31
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Unavailable: canonical work link unavailable.
Observation 3049eb68-6955-47ee-b808-8a6bb8d35b7f · outbound
Heuristic Learning for Active Flow Control Using Coding Agents Using gpt-5.5
Reference 32
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Unavailable: canonical work link unavailable.
Observation 83033ce1-3c24-4e76-a235-4e41468cd2f6 · outbound
Heuristic Learning for Active Flow Control Using Coding Agents Model configuration
Reference 33
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Observation 7431b262-e126-4959-b6cf-360357fa6742 · outbound
Heuristic Learning for Active Flow Control Using Coding Agents Accessed: 2026-06-10
Reference 34
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Unavailable: canonical work link unavailable.
Observation f53e8e05-2720-452f-a974-4697e3439c64 · outbound
Heuristic Learning for Active Flow Control Using Coding Agents Codex cli.https://developers.openai.com/codex/cli, 2026e
Reference 35
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Unavailable: canonical work link unavailable.
Observation f24aafc3-8ddd-4fc9-9437-da3f019c2f36 · outbound
Heuristic Learning for Active Flow Control Using Coding Agents A Environment Suite The benchmark suite contains 13 environments: 6 larger FluidGym flow-control cases and 7 compact BEACON control cases
Reference 36
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No inbound Pith citation observations are available.