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Paper Citation Record · LEDGER

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows

As of 19 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.

pith.paper-citation-record.v1
2505.04354 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:34:30.298591Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

57 of 57 outbound references displayed

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  • verified fuzzy5
  • unresolved52
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7bba3d98-dc31-462d-8562-997d1fb64485 · outbound

This paper cites SELA: Tree-Search Enhanced LLM Agents for Automated Machine Learning.

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

This paper cites Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future.

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

This paper cites Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process.

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

This paper cites MIPLIB 2017: Data-driven compilation of the 6th mixed-integer programming library.

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows MIPLIB 2017: Data-driven compilation of the 6th mixed-integer programming library

Reference 13

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 576fba0c-ed7f-4cf4-998a-0cedb23af8bb · outbound

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

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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source=pdf_text observed=2026-08-15T23:34:30.109333Z digest=sha256:f29501162227c8689b60d6f1b918ccefbc915c4268f80591ce403ca62bb9e745

Observation 1ec9202f-2527-4281-b28d-1ae55981aa3d · outbound

This paper cites LLMs for Mathematical Modeling: Towards Bridging the Gap between Natural and Mathematical Languages.

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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source=pdf_text observed=2026-08-15T23:34:30.122117Z digest=sha256:abd5cf2ca4d8eac16124ce860bc262601b5fb4b83cdadb09b3565a24c59e563d

Observation 47cfdc2b-35bf-4343-9fae-5151b537ddb7 · outbound

This paper cites The Evolutionary Computation Methods No One Should Use.

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows The Evolutionary Computation Methods No One Should Use

Reference 20

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source=pdf_text observed=2026-08-15T23:34:30.130734Z digest=sha256:40e24bd42a046d348a6386109511a1488506f233e6649444bde08f1925828d48

Observation a9588bec-9dab-4e11-af5a-f10e7082b657 · outbound

This paper cites Formalization of Algorithms for Optimization with Block Structures.

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Formalization of Algorithms for Optimization with Block Structures

Reference 21

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source=pdf_text observed=2026-08-15T23:34:30.135309Z digest=sha256:48a77b1b868cd4f057185535df6dc2d639f7e6a410b6dd15a66e05952368e5ea

Observation abfc01c4-1de5-462c-8d90-0153ae50fbb1 · outbound

This paper cites Synthesizing mixed-integer linear programming models from natural language descriptions.

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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source=pdf_text observed=2026-08-15T23:34:30.139643Z digest=sha256:c9d703605759b1e90b36d21694eb67a3f6c1892f12aba9569749a2919b15aaaf

Observation 6a37b878-0e74-471f-82fb-876da5ed87d5 · outbound

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

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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source=pdf_text observed=2026-08-15T23:34:30.144164Z digest=sha256:a9ff8e1421455f846480b017508ffcb59aee92af923937cd35d85e37109bdc72

Observation c1b6d650-e563-44eb-9c65-dff1b37bf1a5 · outbound

This paper cites Algorithm Evolution Using Large Language Model.

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Algorithm Evolution Using Large Language Model

Reference 24

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source=pdf_text observed=2026-08-15T23:34:30.148702Z digest=sha256:b75e9569cdc6750204392ce8f2228a175545feae40f75313501939338ef652d5

Observation 00893f39-7a5d-445c-ab7e-b5af52621e31 · outbound

This paper cites Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model.

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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source=pdf_text observed=2026-08-15T23:34:30.152964Z digest=sha256:a46a6f2e1e3cad11de9e44060b6001a2272265bf0cbda38915eb002b7513267e

Observation 15ae6458-7b64-4b08-9206-7ce58f299267 · outbound

This paper cites Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization.

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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source=pdf_text observed=2026-08-15T23:34:30.161905Z digest=sha256:19442a1df6262a172ad8ec7ff04e89100070ba130f37793cff14557a8e5faca4

Observation 4fa99b72-46c4-40e6-9c45-cfd3468a4971 · outbound

This paper cites Sequential Large Language Model-Based Hyper-parameter Optimization.

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Sequential Large Language Model-Based Hyper-parameter Optimization

Reference 28

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source=pdf_text observed=2026-08-15T23:34:30.165996Z digest=sha256:0869588a11e01ad62034d0e6b8a6f94c71abe65f87c60b0c6aff0a392581a0d3

Observation dfc537a2-2269-4413-ba2b-7e9104da7f11 · outbound

This paper cites A Survey in Mathematical Language Processing.

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows A Survey in Mathematical Language Processing

Reference 29

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source=pdf_text observed=2026-08-15T23:34:30.170077Z digest=sha256:c5e2414e85cd5ee46350cb3081b9123f6459d79ae4060b91860d6fc97e19ab18

Observation 61ee98e0-d2d1-4b8a-912b-40166ee2d193 · outbound

This paper cites GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models.

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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source=pdf_text observed=2026-08-15T23:34:30.174627Z digest=sha256:0a148004cfcb2b3e19b0ae1ee002265b0d5ddd0f5bcad8181e446bf9e34e056e

Observation bd3c66de-56fd-4525-b743-7edd5da46aed · outbound

This paper cites Augmenting Operations Research with Auto-Formulation of Optimization Models from Problem Descriptions.

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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source=pdf_text observed=2026-08-15T23:34:30.184559Z digest=sha256:47dd5ea94c6b82c270c8dce075232c637b30e7e0d4bf8902a5e4713b8b86f3b9

Observation 2675a188-5ce6-48a4-a1aa-24f3022e7599 · outbound

This paper cites NL4OPT competition: Formulating optimization problems based on their natural language descriptions.

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows NL4OPT competition: Formulating optimization problems based on their natural language descriptions

Reference 33

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:34:30.188960Z digest=sha256:ad289d2c4e1f99b2ee174b743dbaaef8208eddff2899931bb43d5f77fa059352

Observation 18b85245-88f5-448c-b08f-5122a276fb9b · outbound

This paper cites Code Llama: Open Foundation Models for Code.

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Code Llama: Open Foundation Models for Code

Reference 34

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Observation 7d099c10-b6df-4792-bcc1-db950e49a0e7 · outbound

This paper cites An overview of gradient descent optimization algorithms.

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows An overview of gradient descent optimization algorithms

Reference 35

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source=pdf_text observed=2026-08-15T23:34:30.198645Z digest=sha256:ec06dd6fc69d8dd2a299cc6cfb7f0b5c6522353f0b0fc938b64cac7c20b4090d

Observation f23c64e8-1801-4c8e-ab10-9632700c4a7e · outbound

This paper cites ORLM: A Customizable Framework in Training Large Models for Automated Optimization Modeling.

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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source=pdf_text observed=2026-08-15T23:34:30.212835Z digest=sha256:1a99a1f13da133ec03c3eab33c99d87ee996f3ff3637931be8e55391d590af23

Observation 4a73bfd8-0702-4af8-8c7c-be72bc4e4681 · outbound

This paper cites AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML.

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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source=pdf_text observed=2026-08-15T23:34:30.217268Z digest=sha256:546d5188860d0dab36e572358cce7f12b7fce1cea2c296c0ec0929f614a51c6c

Observation 711cae60-790e-46f7-a976-1784fce08b19 · outbound

This paper cites Holy Grail 2.0: From Natural Language to Constraint Models.

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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source=pdf_text observed=2026-08-15T23:34:30.221747Z digest=sha256:3f8de30d175df8d1b4df3dc97113756140adbcefa3c5b02ae732bf7518fa1dc7

Observation fd4b86e0-3e56-4216-a88e-b9b7ded4fe4c · outbound

This paper cites Large language models still can’t plan (a benchmark for LLMs on planning and reasoning about change).

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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source=pdf_text observed=2026-08-15T23:34:30.226133Z digest=sha256:60ac5cd0a9ddebe36e1f281a64a546d77e55ee95406367406ce129f2b3c5b5a8

Observation 670b3644-a336-4a03-ac17-3bc7b22a679e · outbound

This paper cites LLMs Still Can't Plan; Can LRMs? A Preliminary Evaluation of OpenAI's o1 on PlanBench.

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

This paper cites From Large Language Models and Optimization to Decision Optimization CoPilot: A Research Manifesto.

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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source=pdf_text observed=2026-08-15T23:34:30.240422Z digest=sha256:73a07f6b3245ed716ae50c6e7c4f4f3be3553d2cd2d5b0df3993657fa5ae64bf

Observation 91fb4199-b9e0-49c5-80d3-d2cdbdc57850 · outbound

This paper cites ADMM Penalty Parameter Selection by Residual Balancing.

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows ADMM Penalty Parameter Selection by Residual Balancing

Reference 45

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source=pdf_text observed=2026-08-15T23:34:30.244880Z digest=sha256:b7c9c8e4b347afc6530d3945465eb624873c88f3b1423f797b6fa63d6d3c51cc

Observation 3c170d17-5e22-4190-ac29-a28e17f1f8e3 · outbound

This paper cites The Rise and Potential of Large Language Model Based Agents: A Survey.

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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source=pdf_text observed=2026-08-15T23:34:30.253861Z digest=sha256:a0c1040f3d884472a087401a99225d309cf9ce38d314b562cd0b3ea43d71364e

Observation 6cf60be3-7669-4d89-8e1d-fcb241441ddd · outbound

This paper cites Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models.

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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source=pdf_text observed=2026-08-15T23:34:30.258230Z digest=sha256:2a1c7e276a0412b7f1b2a221cfb86392d76bffb70962cca7bdaa4e0013c539d5

Observation ec3770ee-c4da-49da-9eb8-6733631cad7e · outbound

This paper cites A Survey on Knowledge Distillation of Large Language Models.

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

This paper cites To Believe or Not to Believe Your LLM.

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows To Believe or Not to Believe Your LLM

Reference 50

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source=pdf_text observed=2026-08-15T23:34:30.267699Z digest=sha256:db43ced3da2f031378838e22bcfb57b2dcadfcd4114e4b0e5bffda58add833c6

Observation 9f6d3df2-8de5-4771-b2aa-b682e6bbb8c7 · outbound

This paper cites A Survey of ADMM Variants for Distributed Optimization: Problems, Algorithms and Features.

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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source=pdf_text observed=2026-08-15T23:34:30.272174Z digest=sha256:441dd828390500b901931e40ee45bb7ecca8b8bd1e1ec18e2850f9d72a2c7c89

Observation 2fbe7bcd-a4a9-4948-b132-1cbe5cd331ba · outbound

This paper cites Automated Machine Learning: From Principles to Practices.

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Automated Machine Learning: From Principles to Practices

Reference 52

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source=pdf_text observed=2026-08-15T23:34:30.276798Z digest=sha256:30b87af9bae7c8e64e199720ad18a835865e36162c4d1ade1bd2df447c765068

Observation ff047553-0c7e-41d2-9f00-c6c9279846d8 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

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

This paper cites Multi-objective Evolution of Heuristic Using Large Language Model.

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

This paper cites Using large language models for hyperparameter optimization.

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Using large language models for hyperparameter optimization

Reference 55

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raw_fallback, observed 2026-08-15T23:34:31.043660Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:34:30.290087Z digest=sha256:8e89685018baed5ca53de654fe9ace62024e21cbd3d929281afbf712b08e5905

Observation 9380d3d0-131e-4fbf-9b9c-0defbe1ec0ed · outbound

This paper cites AutoML-GPT: Automatic Machine Learning with GPT.

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows AutoML-GPT: Automatic Machine Learning with GPT

Reference 56

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source=pdf_text observed=2026-08-15T23:34:30.294228Z digest=sha256:43b9edb85333efef0f036981b97a724610d009c722923cacf4fbdb0e49156562

Observation b293e6fe-8a5a-4539-9696-5443fd115503 · outbound

This paper cites A Novel Approach for Auto-Formulation of Optimization Problems.

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows A Novel Approach for Auto-Formulation of Optimization Problems

Reference 1965

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source=pdf_text observed=2026-08-15T23:34:30.179632Z digest=sha256:83b3973e14d9544b7e88ee2ba6bd280bced185fa9e48f54261361dddbca6b4f0

Observation 14791a53-fadc-4c5c-9b4a-4c1fa860f241 · outbound

This paper cites Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap.

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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source=pdf_text observed=2026-08-15T23:34:30.249473Z digest=sha256:801674bcf6220640d005f451615d68c83bae9a0dd33ea166748fcf80ee276c83

Observation 7c883ce0-5b93-44d9-a100-db29c2dfd5d6 · outbound

This paper cites A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners.

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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source=pdf_text observed=2026-08-15T23:34:30.126436Z digest=sha256:3ad40870a1f8a5f7704c9ffe3c36af02e6dbc86dc19e7a4748e1d75008c6360e

Observation 30d48564-a99e-4528-bcde-ef0b067729c9 · outbound

This paper cites Large Language Models for Constructing and Optimizing Machine Learning Workflows: A Survey.

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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no resolver link, observed 2026-08-15T23:34:30.104946Z

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source=pdf_text observed=2026-08-15T23:34:30.104946Z digest=sha256:4426ab9ce6c4f3c1246c4e7c06e7e6c6f5db43a4103aaafd7d3ff949768fcfa7

Observation 0c38b30d-4cb0-4b14-b2e1-e8bbc7a4c1fa · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Constitutional AI: Harmlessness from AI Feedback

Reference 2007

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no resolver link, observed 2026-08-15T23:34:30.057292Z

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source=pdf_text observed=2026-08-15T23:34:30.057292Z digest=sha256:5595d4cb8a74448ba091a10f945d2487df1e676dc76526aee6c01c6b3c8aebe2

Observation 62b946f3-18a8-436e-9ec7-96975628867b · outbound

This paper cites A Survey of Small Language Models.

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows A Survey of Small Language Models

Reference 2010

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source=pdf_text observed=2026-08-15T23:34:30.236086Z digest=sha256:5e11bc41a66a76719317d42e72c20135f5acc94fc8021c77dfc90e975b9ba520

Observation 7d112a31-3361-4fac-abad-6c778b79ac56 · outbound

This paper cites Exploring the Necessity of Reasoning in LLM-based Agent Scenarios.

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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source=pdf_text observed=2026-08-15T23:34:30.298591Z digest=sha256:d7da8c374b0cbc65ba1440a7473bca941ede33574ba98a9abed9844185e76e5b

Observation f00b8801-cb29-43f6-a244-03fa13f682f9 · outbound

This paper cites Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean.

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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no resolver link, observed 2026-08-15T23:34:30.207713Z

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source=pdf_text observed=2026-08-15T23:34:30.207713Z digest=sha256:130b6ac7778c50a5981f7f2af898677483d10d3bd6f6e8812504358da35fb376

Observation ef3a9a73-40c2-43da-a207-a5f7937b9171 · outbound

This paper cites OptiMUS: Optimization Modeling Using MIP Solvers and large language models.

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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no resolver link, observed 2026-08-15T23:34:30.041775Z

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source=pdf_text observed=2026-08-15T23:34:30.041775Z digest=sha256:70606cd05e2a5d08669096f10a55ea37cabd54ca34331005726b1e7e9c04b133

Observation 6c6daf2e-db15-404b-8b1f-97437d2aa9f3 · outbound

This paper cites Data Interpreter: An LLM Agent For Data Science.

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Data Interpreter: An LLM Agent For Data Science

Reference 2015

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source=pdf_text observed=2026-08-15T23:34:30.113359Z digest=sha256:924dcb6eb514af3bd9518fb000192feaff797254076315c4ea9e9585360743a7

Observation 68b85adc-68de-43e9-b74e-76f847c66b3c · outbound

This paper cites It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners.

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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source=pdf_text observed=2026-08-15T23:34:30.203124Z digest=sha256:4d881df151b3790ee9bf82ab44cd8f701911f48e3717df640228364803db5f59

Observation 43bf6354-c6b8-48c6-ab3a-61a5b7190fd2 · outbound

This paper cites Exploiting LLM Quantization.

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Exploiting LLM Quantization

Reference 2017

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source=pdf_text observed=2026-08-15T23:34:30.091392Z digest=sha256:210f620238e0d4f26ea8bbbf766359dd8cc79f957420a42b2198d0d965c7013e

Observation 73617755-a0a7-4e0a-80a9-86dfd01944b5 · outbound

This paper cites Large Language Model Agent for Hyper-Parameter Optimization.

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Large Language Model Agent for Hyper-Parameter Optimization

Reference 2018

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no resolver link, observed 2026-08-15T23:34:30.157614Z

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source=pdf_text observed=2026-08-15T23:34:30.157614Z digest=sha256:7bc77fddfaf4f2c1a55c47dfc709b5c2dd87c1e1a75c41b521a6306f2c32ee31

Observation 429be844-d008-4c85-ba59-90bfed5c753b · outbound

This paper cites Towards an Automatic Optimisation Model Generator Assisted with Generative Pre-trained Transformer.

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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no resolver link, observed 2026-08-15T23:34:30.047365Z

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source=pdf_text observed=2026-08-15T23:34:30.047365Z digest=sha256:0812a9a196617d08860f4657acf2f1f3ccb48e590eb59349b4d3b234997b6457

Observation edcfd5ca-01dc-421b-9e57-e1fe127e13f3 · outbound

This paper cites FireAct: Toward Language Agent Fine-tuning.

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows FireAct: Toward Language Agent Fine-tuning

Reference 2020

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source=pdf_text observed=2026-08-15T23:34:30.071160Z digest=sha256:24214beaadff1c75a37f6d54c1a0fe6ae735ba2f2b1be767123d215eeeca32ec

Observation a5393245-4e8f-406b-834b-9a9b1ec02bce · outbound

This paper cites When Large Language Model Meets Optimization.

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows When Large Language Model Meets Optimization

Reference 2021

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source=pdf_text observed=2026-08-15T23:34:30.117730Z digest=sha256:1e0462064972e83425fd4f6a0df48934b27bd9ca4518e70ba4f4dea3eb282268

Observation cd4417bd-cfac-49e1-8adb-b89e99dc0b0a · outbound

This paper cites Benchmarking in Optimization: Best Practice and Open Issues.

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Benchmarking in Optimization: Best Practice and Open Issues

Reference 2022

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source=pdf_text observed=2026-08-15T23:34:30.061937Z digest=sha256:eebf96a8e4aab265a4f6d25051b59c8bc1b5381c8d2a40fa3819b199a77ff8ca

Observation 57224dda-392d-4e3f-b867-6edb8263df2f · outbound

This paper cites Language Models for Business Optimisation with a Real World Case Study in Production Scheduling.

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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source=pdf_text observed=2026-08-15T23:34:30.052278Z digest=sha256:49082461dd8807366d58753e7de9bf005660237fe1a8b76fe6d021f6382ee0bd

Observation be80cc88-dc7b-4d0f-88f1-4f5635317d63 · outbound

This paper cites and Mattingley, J.

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows and Mattingley, J

Reference 2024

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verified fuzzy
raw_fallback, observed 2026-08-15T23:34:31.104922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:34:30.066825Z digest=sha256:6aa2e7c97c6ad0b0e1b75c2a4dd51ba2f085fd35247ca5328939ca4520b4dbcd

Observation 4fed519c-e23f-4e5c-abfe-eb7e68396a9c · outbound

This paper cites Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects.

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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source=pdf_text observed=2026-08-15T23:34:30.075992Z digest=sha256:1244ca441860a5fdb1820da08b2177939145346ff2adca5fd69e049c92b2893c

Pith citing papers

No inbound Pith citation observations are available.