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Paper Citation Record · LEDGER

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows

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.

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 2026-08-17T06:30:58.91139+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

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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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source=pdf_text observed=2026-08-15T23:34:30.086049Z digest=sha256:e97990e1e6d3a4762c4128826e29a78974abcc79b9d4fbceb0ac10f980ca3c9a

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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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.

source=pdf_text observed=2026-08-15T23:34:30.100591Z digest=sha256:ff70c2707079799eff1903d3eaddbc77921650cfb90072e75f56cedb1835b58f

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=sha256:095e8ea7632b385807cf852b158fcb78f079bd38dcc4aa10bda3554797f3e5bf

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=sha256:2bb7580dcdf4cce6766bc6e6b03170e911e6f3cd976442cb4a4b16091cb153e0

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:bee9f9f57c8af9c3270338324576cf6e153c1ef6c83b1eda544c6533af32a56d

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=sha256:3e1cdc479d4d9fceedd5ea6499ee21c23d5130577d4aa4371a21ad712067a841

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:b1cfea9a444e21660a493fd69bf70ca11836114b46caf008bed80743c7f410c4

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=sha256:1a7a4ec676b9ecb05b85263281a8dedfa8cf05a433675e1f9161a70303bc9f68

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=sha256:8a23cf551d6d76c2657bfe0428abea0363b6be43e1404b1d943005f0112fe2f0

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=sha256:86978874087bc445a049115afccf968f61674d49d7898651e4427a847b7cf9d9

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:cce25d5dc4bad5127aa870f305a5fe3d7f6eea3bb1688a4c91843a968a708627

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=sha256:66194999cc67d350f538ec061f45f1e469fea6cba6aac6290fe70691e19ba832

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:ca27b2e3fead86719e664e951635d1f69358c322dfe816e0ac0d9596b42d8eb7

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=sha256:7e1f0f4ffc3ec43896b73612b1c0440792e439f95f60fc53e877f2e54a0cdbe4

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:a4f4fbb43b45a2fc9978b29cb6eef2174625e6e9a2cbf8c3c174bd764b553796

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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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.

source=pdf_text observed=2026-08-15T23:34:30.188960Z digest=sha256:2bd54d35a02a8b4e834da477c2027a4ff5e4bac1ab84af72c8177876df03d62c

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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source=pdf_text observed=2026-08-15T23:34:30.194056Z digest=sha256:066a31ac2df27f8957086059436b5dbe456aab233bb504458ef7a7b14418cab6

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:c8f8db0d45690d76f3655ea9b3c12735b88c383ee06b6b8a25d822e6ad05e8ed

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=sha256:15e477b75988046610ab6def41126491d4ff211d9b80770f336bbe5ad9e9e964

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=sha256:7cc6cb04fb6621b61f7886096eafa3ee2c95a9fd6fc2b691cbd2bb318b61c4d3

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:c5bda48dacf97e63be41f26df807ce71d184e809c3cdae1464bbbe451ea6f5c8

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=sha256:5d4ea8749e8daaa37f3240e2421802e442db26e1ed58a8923116f73187798daf

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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source=pdf_text observed=2026-08-15T23:34:30.231316Z digest=sha256:be60a302d6eeba1144c876b3219ab96bc22eb5bec81683a828f148818a906c32

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:b69d36407a01bb0c2a01e7d54adde2640e5bc4cc08b5102f6a0c1514b0feb8dc

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=sha256:5f1298aff7db40b16e5db373674916881dcea75515824955fed89905ee4e278b

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:e357458c9524aa16a33be4feac8c69566a975940b1a506980f40969a45841de2

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:c97e7513297fd871372e618ffa5bce621c6653fdc40f60a2c7e27eff53de579e

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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source=pdf_text observed=2026-08-15T23:34:30.262683Z digest=sha256:be62336739a4cd5f674664de87ea658a167b005f4de98be5673524c5c5bcfb4f

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=sha256:2e98b891dbaa9d72e26c7bd126f62d6d9119bb296ec82b731bb2ad5a10d3fd20

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:a31ee1933d76d84f748825b2ffaa20c6576afd8b80be5df313eccad035ddd11f

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=sha256:285ddd75ca2aac4f1e67ef6c6ca357e4e4864c0cc95f32aeb7c292b1c0d8bfbc

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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source=pdf_text observed=2026-08-15T23:34:30.285773Z digest=sha256:5818e89e7956a8b9718e844ad9f7dbef0e2d2934b9e384d0e85a04222718a1dd

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:34:30.290087Z digest=sha256:d4c26c5106fb4a55f931f2bed72a90938fb1b2b283f6a25b02439a7f562959f6

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=sha256:0d2e0863104d0677a0fd6ee6464ed1e6771db743755c2d6c97eb5e2fec6adcc2

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=sha256:383f2cd7f66d7775b5f82db160dd86d8b43bced9f2a2ee9c9d982b9144725d38

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=sha256:93c00c9c7eb92bc694f2fcf5b8699f1cbbe1b4f55ed8d4204db5570286755e41

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:f18fe588d586c10a2bde5033544be87c7294030075c50738aff8ecee1cb817ae

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

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T23:34:30.104946Z digest=sha256:efcbd9935946bdbef44538ac973dcaadc303bff3c8098d43e58d3a560b3556f8

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:c33389f0b8915e458273c904e66fd110b4f5f7bd7c41f21043e43036889e4a59

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=sha256:2686d9481d8ffe78d5b42e157352a153c9ffc46aa410fae5d78c509af59ae276

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:ce6133009dca181f2ca1029387f9d786e769e41dd9bedf4f25737ba3cdba1f16

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=sha256:1be8acb37c767c0cd6e3d4cc89d9367250174e9629121ef1bfbfd281ed222ba9

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=sha256:25a6b2b7a5eebbfe9001d33641fa14faf0a423ec39b294cc0e7dafa3c2a7f067

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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no resolver link, observed 2026-08-15T23:34:30.113359Z

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source=pdf_text observed=2026-08-15T23:34:30.113359Z digest=sha256:5489ce1b8d2f3de4b0a73bb75fc4822ec9d704212b84718228e95b0a1fcde787

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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no resolver link, observed 2026-08-15T23:34:30.203124Z

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source=pdf_text observed=2026-08-15T23:34:30.203124Z digest=sha256:f2d73b716d7ea45a2cca01c53b9ebd6500872f79beeb93deeb3ab2d970c569da

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=sha256:32a97431434f3f518efe564f27847da9fe899dacfb098fb6926782dacf20fe2c

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

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T23:34:30.157614Z digest=sha256:7b89fae878d0d9dbb02a7c46855715c91ce8b71d0d5a778e891ac04bc6855893

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

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T23:34:30.047365Z digest=sha256:01328df6d1e6f71692d3facd5a2c19eaba7fc2a4d7da65da0cbeba8369033721

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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no resolver link, observed 2026-08-15T23:34:30.071160Z

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source=pdf_text observed=2026-08-15T23:34:30.071160Z digest=sha256:938fd5a19a15ba5eeb5def4a985938733eca873e3303fcbb5b28c30585661d39

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:fa52b9beb5a5bbe6cfbec0ce7a443dbcdc366c17dc359238657347f302f62a09

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:bb382181b4c4b0c1b057d3be59a6aac5eeb9e163290061f0d37d5d828439f9c0

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=sha256:5f07dba1f0ea66c0587fbfc3c2b3cc16391df7bf624f2069b051410ab55626cc

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:34:30.066825Z digest=sha256:af8cf8d07e30bc678cedc4236de8bec1c5c3def7fc9ab6437e21d7597575e18e

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:b46d513edde663e3887f6ba25d7ce2bc5f180e75da5e53ae9ffffa822732872d

Pith citing papers

No inbound Pith citation observations are available.