Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:34:30.298591Z
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2505.04354.
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 2026-08-15T23:34:30.298591Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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
57 of 57 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 7bba3d98-dc31-462d-8562-997d1fb64485 · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows SELA: Tree-Search Enhanced LLM Agents for Automated Machine Learning
Reference 9
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Observation 8433d15b-47df-4ea9-a751-c5f2ff9eed35 · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future
Reference 10
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Observation ee2d239f-945f-4755-807e-225423b407f6 · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process
Reference 12
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Observation 5108df4d-98b3-4b6e-a503-e75e720b0184 · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows MIPLIB 2017: Data-driven compilation of the 6th mixed-integer programming library
Reference 13
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 576fba0c-ed7f-4cf4-998a-0cedb23af8bb · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 15
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Observation 1ec9202f-2527-4281-b28d-1ae55981aa3d · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows LLMs for Mathematical Modeling: Towards Bridging the Gap between Natural and Mathematical Languages
Reference 18
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Observation 47cfdc2b-35bf-4343-9fae-5151b537ddb7 · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows The Evolutionary Computation Methods No One Should Use
Reference 20
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Observation a9588bec-9dab-4e11-af5a-f10e7082b657 · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Formalization of Algorithms for Optimization with Block Structures
Reference 21
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Observation abfc01c4-1de5-462c-8d90-0153ae50fbb1 · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Synthesizing mixed-integer linear programming models from natural language descriptions
Reference 22
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Observation 6a37b878-0e74-471f-82fb-876da5ed87d5 · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 23
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Observation c1b6d650-e563-44eb-9c65-dff1b37bf1a5 · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Algorithm Evolution Using Large Language Model
Reference 24
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Observation 00893f39-7a5d-445c-ab7e-b5af52621e31 · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model
Reference 25
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Observation 15ae6458-7b64-4b08-9206-7ce58f299267 · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization
Reference 27
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Observation 4fa99b72-46c4-40e6-9c45-cfd3468a4971 · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Sequential Large Language Model-Based Hyper-parameter Optimization
Reference 28
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Observation dfc537a2-2269-4413-ba2b-7e9104da7f11 · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows A Survey in Mathematical Language Processing
Reference 29
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Observation 61ee98e0-d2d1-4b8a-912b-40166ee2d193 · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models
Reference 30
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Observation bd3c66de-56fd-4525-b743-7edd5da46aed · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Augmenting Operations Research with Auto-Formulation of Optimization Models from Problem Descriptions
Reference 32
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Observation 2675a188-5ce6-48a4-a1aa-24f3022e7599 · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows NL4OPT competition: Formulating optimization problems based on their natural language descriptions
Reference 33
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 18b85245-88f5-448c-b08f-5122a276fb9b · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Code Llama: Open Foundation Models for Code
Reference 34
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Unavailable: canonical work link unavailable.
Observation 7d099c10-b6df-4792-bcc1-db950e49a0e7 · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows An overview of gradient descent optimization algorithms
Reference 35
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Observation f23c64e8-1801-4c8e-ab10-9632700c4a7e · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows ORLM: A Customizable Framework in Training Large Models for Automated Optimization Modeling
Reference 38
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Unavailable: canonical work link unavailable.
Observation 4a73bfd8-0702-4af8-8c7c-be72bc4e4681 · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML
Reference 39
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Observation 711cae60-790e-46f7-a976-1784fce08b19 · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Holy Grail 2.0: From Natural Language to Constraint Models
Reference 40
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Observation fd4b86e0-3e56-4216-a88e-b9b7ded4fe4c · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Large language models still can’t plan (a benchmark for LLMs on planning and reasoning about change)
Reference 41
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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 670b3644-a336-4a03-ac17-3bc7b22a679e · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows LLMs Still Can't Plan; Can LRMs? A Preliminary Evaluation of OpenAI's o1 on PlanBench
Reference 42
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Observation 8b073c0f-ae6f-4f52-965c-3d3a3ef60c2a · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows From Large Language Models and Optimization to Decision Optimization CoPilot: A Research Manifesto
Reference 44
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Observation 91fb4199-b9e0-49c5-80d3-d2cdbdc57850 · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows ADMM Penalty Parameter Selection by Residual Balancing
Reference 45
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Unavailable: canonical work link unavailable.
Observation 3c170d17-5e22-4190-ac29-a28e17f1f8e3 · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows The Rise and Potential of Large Language Model Based Agents: A Survey
Reference 47
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Observation 6cf60be3-7669-4d89-8e1d-fcb241441ddd · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 48
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Unavailable: canonical work link unavailable.
Observation ec3770ee-c4da-49da-9eb8-6733631cad7e · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows A Survey on Knowledge Distillation of Large Language Models
Reference 49
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Observation 44e3a969-e342-4858-9a0d-275dfab7d7a5 · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows To Believe or Not to Believe Your LLM
Reference 50
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Unavailable: canonical work link unavailable.
Observation 9f6d3df2-8de5-4771-b2aa-b682e6bbb8c7 · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows A Survey of ADMM Variants for Distributed Optimization: Problems, Algorithms and Features
Reference 51
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Observation 2fbe7bcd-a4a9-4948-b132-1cbe5cd331ba · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Automated Machine Learning: From Principles to Practices
Reference 52
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Observation ff047553-0c7e-41d2-9f00-c6c9279846d8 · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows ReAct: Synergizing Reasoning and Acting in Language Models
Reference 53
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Observation 445fa47e-0597-45a8-b22f-ea90a0895082 · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Multi-objective Evolution of Heuristic Using Large Language Model
Reference 54
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Observation 5299d5b8-79cd-42a3-b758-3862115c134d · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Using large language models for hyperparameter optimization
Reference 55
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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9380d3d0-131e-4fbf-9b9c-0defbe1ec0ed · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows AutoML-GPT: Automatic Machine Learning with GPT
Reference 56
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Unavailable: canonical work link unavailable.
Observation b293e6fe-8a5a-4539-9696-5443fd115503 · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows A Novel Approach for Auto-Formulation of Optimization Problems
Reference 1965
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Observation 14791a53-fadc-4c5c-9b4a-4c1fa860f241 · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap
Reference 1997
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Observation 7c883ce0-5b93-44d9-a100-db29c2dfd5d6 · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners
Reference 1999
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Unavailable: canonical work link unavailable.
Observation 30d48564-a99e-4528-bcde-ef0b067729c9 · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Large Language Models for Constructing and Optimizing Machine Learning Workflows: A Survey
Reference 2000
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Observation 0c38b30d-4cb0-4b14-b2e1-e8bbc7a4c1fa · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Constitutional AI: Harmlessness from AI Feedback
Reference 2007
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Observation 62b946f3-18a8-436e-9ec7-96975628867b · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows A Survey of Small Language Models
Reference 2010
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Observation 7d112a31-3361-4fac-abad-6c778b79ac56 · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Exploring the Necessity of Reasoning in LLM-based Agent Scenarios
Reference 2011
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Observation f00b8801-cb29-43f6-a244-03fa13f682f9 · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean
Reference 2012
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Unavailable: canonical work link unavailable.
Observation ef3a9a73-40c2-43da-a207-a5f7937b9171 · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows OptiMUS: Optimization Modeling Using MIP Solvers and large language models
Reference 2013
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Unavailable: canonical work link unavailable.
Observation 6c6daf2e-db15-404b-8b1f-97437d2aa9f3 · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Data Interpreter: An LLM Agent For Data Science
Reference 2015
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Unavailable: canonical work link unavailable.
Observation 68b85adc-68de-43e9-b74e-76f847c66b3c · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners
Reference 2016
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Observation 43bf6354-c6b8-48c6-ab3a-61a5b7190fd2 · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Exploiting LLM Quantization
Reference 2017
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Unavailable: canonical work link unavailable.
Observation 73617755-a0a7-4e0a-80a9-86dfd01944b5 · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Large Language Model Agent for Hyper-Parameter Optimization
Reference 2018
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Unavailable: canonical work link unavailable.
Observation 429be844-d008-4c85-ba59-90bfed5c753b · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Towards an Automatic Optimisation Model Generator Assisted with Generative Pre-trained Transformer
Reference 2019
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Unavailable: canonical work link unavailable.
Observation edcfd5ca-01dc-421b-9e57-e1fe127e13f3 · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows FireAct: Toward Language Agent Fine-tuning
Reference 2020
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Unavailable: canonical work link unavailable.
Observation a5393245-4e8f-406b-834b-9a9b1ec02bce · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows When Large Language Model Meets Optimization
Reference 2021
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Observation cd4417bd-cfac-49e1-8adb-b89e99dc0b0a · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Benchmarking in Optimization: Best Practice and Open Issues
Reference 2022
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Observation 57224dda-392d-4e3f-b867-6edb8263df2f · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Language Models for Business Optimisation with a Real World Case Study in Production Scheduling
Reference 2023
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Observation be80cc88-dc7b-4d0f-88f1-4f5635317d63 · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows and Mattingley, J
Reference 2024
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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4fed519c-e23f-4e5c-abfe-eb7e68396a9c · outbound
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects
Reference 2025
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No inbound Pith citation observations are available.