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Paper Citation Record · LEDGER

Better Together, in the Right Order: Classical-then-LLM Optimization for SE

As of 19 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2607.02583.

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

pith.paper-citation-record.v1
2607.02583 v1

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T09:35:19.604418Z

measured 61 of 61 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

61 of 61 outbound references displayed

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  • verified fuzzy0
  • unresolved59
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 772284b7-6b28-48ef-af84-34dc47d5ec09 · outbound

This paper cites Minimal data, maximum clarity: A heuristic for explaining optimization,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Minimal data, maximum clarity: A heuristic for explaining optimization,

Reference 1

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Observation 0c417be7-cf86-4313-800b-eac0061b611f · outbound

This paper cites Promisetune: Unveiling causally promising and explainable configuration tuning,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Promisetune: Unveiling causally promising and explainable configuration tuning,

Reference 2

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Observation 12289f18-d5f7-4c94-ab8a-36556ab78ec9 · outbound

This paper cites Can large language models improve se active learning via warm-starts?.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Can large language models improve se active learning via warm-starts?

Reference 3

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Observation d57220be-3cb0-47ee-9b59-bc658d42b86b · outbound

This paper cites Accuracy can lie: On the impact of surrogate model in configuration tuning,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Accuracy can lie: On the impact of surrogate model in configuration tuning,

Reference 4

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Observation b405a2e2-8d82-406e-bd2a-f46fc443002a · outbound

This paper cites Learning from very little data: On the value of landscape analysis for predicting software project health,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Learning from very little data: On the value of landscape analysis for predicting software project health,

Reference 5

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Observation 3e61c9a4-ed4b-4775-b311-b4257c359560 · outbound

This paper cites iSNEAK: Partial ordering as heuristics for model-based reasoning in software engineering,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE iSNEAK: Partial ordering as heuristics for model-based reasoning in software engineering,

Reference 6

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Observation a54449fd-26f3-426e-b5ae-66ad5b2c2f6b · outbound

This paper cites Beyond evolutionary algorithms for search-based software engineering,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Beyond evolutionary algorithms for search-based software engineering,

Reference 7

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Observation 6cc67121-1f3d-49c7-bd2c-018b13ebb9ab · outbound

This paper cites EA Sports FC 25 database — ratings and stats,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE EA Sports FC 25 database — ratings and stats,

Reference 8

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Observation ea39b734-84cf-4d29-b7e0-4287d79a1ee2 · outbound

This paper cites Telco customer churn,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Telco customer churn,

Reference 9

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source=pdf_text observed=2026-07-12T09:35:19.604418Z digest=sha256:870a81e8a083eb72585025d4a5c1012ca73420f6fd50a9195f782ecc072ae08c

Observation c18fa722-1ebb-4d10-a27e-fdb3ac3114c9 · outbound

This paper cites Life expectancy (WHO) dataset,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Life expectancy (WHO) dataset,

Reference 10

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Observation 87fb292d-cd2c-4423-b7d6-9cfcd6df74f7 · outbound

This paper cites Marketing analytics — marketing data,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Marketing analytics — marketing data,

Reference 11

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Observation c49de236-d625-4da3-93db-3c3aa1419e0f · outbound

This paper cites An empirical study on configuration errors in commercial and open source systems,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE An empirical study on configuration errors in commercial and open source systems,

Reference 12

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Observation 8813212a-41c6-4dee-9de6-f27ae5da7c16 · outbound

This paper cites Fail through the cracks: Cross-system interaction failures in modern cloud systems,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Fail through the cracks: Cross-system interaction failures in modern cloud systems,

Reference 13

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Observation 381dd259-5513-4f44-83fe-b897a12d2535 · outbound

This paper cites Uncertainty-aware self-adaptation in cloud computing,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Uncertainty-aware self-adaptation in cloud computing,

Reference 14

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Observation b997babf-c6f2-4141-bf87-2db4ba3e83a2 · outbound

This paper cites Hey, you have given me too many knobs!: understanding and dealing with over-designed configuration in system software,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Hey, you have given me too many knobs!: understanding and dealing with over-designed configuration in system software,

Reference 15

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Observation f51aee88-b85f-4088-9b25-442bf9199e2c · outbound

This paper cites Automatic database management system tuning through large-scale machine learning,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Automatic database management system tuning through large-scale machine learning,

Reference 16

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Observation 7962c141-3786-47bd-8e7a-c5636028605b · outbound

This paper cites Finding faster configurations using flash,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Finding faster configurations using flash,

Reference 17

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Observation 0f17c37b-85e0-474f-bd2d-2f3831274f7f · outbound

This paper cites Efficient compiler autotuning via bayesian optimization,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Efficient compiler autotuning via bayesian optimization,

Reference 18

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Observation af4ebe9f-cbd3-4416-a178-248e7a981f56 · outbound

This paper cites Performance- influence models for highly configurable systems,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Performance- influence models for highly configurable systems,

Reference 19

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Observation fdf7941d-ff73-421c-9bb1-d445c95bb929 · outbound

This paper cites Sequential model- based optimization for general algorithm configuration,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Sequential model- based optimization for general algorithm configuration,

Reference 20

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Observation 70cea5d4-050f-4629-ae22-3787a3282c79 · outbound

This paper cites Large language models as optimizers,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Large language models as optimizers,

Reference 21

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Observation e513bac5-2097-48fd-8869-ea7864cfe500 · outbound

This paper cites Large language models as evolutionary optimizers,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Large language models as evolutionary optimizers,

Reference 22

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Observation d94b70c2-6e12-4071-bb18-170a8c59cf0a · outbound

This paper cites Large language models to enhance bayesian optimization,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Large language models to enhance bayesian optimization,

Reference 23

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Observation c8772d06-bed8-437b-b2e5-d94cffa1776d · outbound

This paper cites Multi- objective hierarchical optimization with large language models,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Multi- objective hierarchical optimization with large language models,

Reference 24

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Observation 632a8916-a41d-4c7e-8886-da2d68b90de7 · outbound

This paper cites Leveraging large language models for dynamic multi-objective optimization in UA V sensor-target assignment,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Leveraging large language models for dynamic multi-objective optimization in UA V sensor-target assignment,

Reference 25

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Observation d1607c1b-f81a-4f3f-b094-0ea80ea353d9 · outbound

This paper cites Mathematical discoveries from program search with large language models,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Mathematical discoveries from program search with large language models,

Reference 26

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Observation 3360b63f-e5b8-49d5-83e2-0760f6b6c759 · outbound

This paper cites Exploring the True Potential: Evaluating the Black-box Optimization Capability of Large Language Models.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Exploring the True Potential: Evaluating the Black-box Optimization Capability of Large Language Models

Reference 27

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Observation f3dbc398-cb23-4689-b3b0-dd277a1ccb07 · outbound

This paper cites How low can you go? the data-light se challenge,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE How low can you go? the data-light se challenge,

Reference 28

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Observation 996ef8d6-8018-44bb-91ba-0bc1a93335a9 · outbound

This paper cites SMAC3: A versatile Bayesian optimization package for hyperparameter optimization,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE SMAC3: A versatile Bayesian optimization package for hyperparameter optimization,

Reference 29

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Observation 879af5de-a4a7-4759-8643-dd908868edc1 · outbound

This paper cites Algorithms for hyper- parameter optimization,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Algorithms for hyper- parameter optimization,

Reference 30

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Observation 6bf70072-c274-4263-a177-121f8b183486 · outbound

This paper cites Botorch: A framework for efficient monte-carlo bayesian optimization,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Botorch: A framework for efficient monte-carlo bayesian optimization,

Reference 31

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Observation 0d82f40e-c8f1-43b9-88d3-2605ae1f2d3b · outbound

This paper cites Moea/d: A multiobjective evolutionary algorithm based on decomposition,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Moea/d: A multiobjective evolutionary algorithm based on decomposition,

Reference 32

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Observation 3564fe38-2e08-4c5b-af51-5895155713f9 · outbound

This paper cites Random search for hyper-parameter opti- mization,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Random search for hyper-parameter opti- mization,

Reference 33

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Observation c5a58ef4-2683-4ac0-9288-ffce8b2dc806 · outbound

This paper cites Moot: a repository of many multi-objective optimization tasks,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Moot: a repository of many multi-objective optimization tasks,

Reference 34

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Observation e7394629-6044-48ab-8c3b-2b71311044cc · outbound

This paper cites Transferring performance prediction models across different hardware platforms,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Transferring performance prediction models across different hardware platforms,

Reference 35

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Observation 3a6154bd-d94b-4399-97bf-0f591afec303 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Chain-of-thought prompting elicits reasoning in large language models,

Reference 36

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Observation 5ca829ba-fc20-435e-aa77-8f4d0107f22a · outbound

This paper cites From brittle to robust: Improving llm annotations for se optimization,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE From brittle to robust: Improving llm annotations for se optimization,

Reference 37

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Observation 4bd60558-4c20-4065-a73f-6c4d73d89861 · outbound

This paper cites Parallel bayesian optimization of multiple noisy objectives with expected hypervolume improvement,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Parallel bayesian optimization of multiple noisy objectives with expected hypervolume improvement,

Reference 38

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Observation edb0f873-cec5-4c38-8858-42dcfb13abf8 · outbound

This paper cites DEHB: Evolutionary hyperband for scalable, robust and efficient hyperparameter optimization,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE DEHB: Evolutionary hyperband for scalable, robust and efficient hyperparameter optimization,

Reference 39

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Observation 6e270c54-3854-415f-a450-ff1fc8987c27 · outbound

This paper cites Settles,Active learning.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Settles,Active learning

Reference 40

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Observation 45fb2194-66b0-4a10-a5a6-f911ef337e6a · outbound

This paper cites an unresolved cited work.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Unresolved cited work

Reference 41

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Observation c5b3c914-c821-4b51-a6f6-ae47929dba9f · outbound

This paper cites “sampling.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE “sampling

Reference 42

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Observation d3dc696b-ebe1-456d-9024-9469b2a9a7de · outbound

This paper cites A density-based algorithm for discovering clusters in large spatial databases with noise,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE A density-based algorithm for discovering clusters in large spatial databases with noise,

Reference 43

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Observation b7a9d657-1036-4f41-9f52-77016a140dcf · outbound

This paper cites Real-parameter black-box optimization benchmarking 2009: Noiseless functions definitions,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Real-parameter black-box optimization benchmarking 2009: Noiseless functions definitions,

Reference 44

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Observation cd5a754c-540d-4007-8236-f3822b0b6bce · outbound

This paper cites Using simulation to investigate requirements prioritization strategies,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Using simulation to investigate requirements prioritization strategies,

Reference 45

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Observation 877a0913-8503-42a5-b9b0-6cf5b7624f3a · outbound

This paper cites Xomo: Understanding development options for autonomy,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Xomo: Understanding development options for autonomy,

Reference 46

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Observation 81d1f6e4-c153-48c2-9ced-9eaffb30bee5 · outbound

This paper cites How to evaluate solutions in pareto-based search-based software engineering: A critical review and methodological guidance,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE How to evaluate solutions in pareto-based search-based software engineering: A critical review and methodological guidance,

Reference 47

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Observation 2626067c-2f5e-4830-abe6-6b7d6b0eaef0 · outbound

This paper cites Available: https://doi.org/10.1109/TSE.2020.3036108.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Available: https://doi.org/10.1109/TSE.2020.3036108

Reference 48

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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 0b7c892c-3341-40be-b129-3cae0ccf954f · outbound

This paper cites A systematic review of effect size in software engineering experiments,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE A systematic review of effect size in software engineering experiments,

Reference 49

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Observation 18140b46-5bfd-4260-81d4-24eec171eaab · outbound

This paper cites Available: https://doi.org/10.1016/j.infsof.2007.02.015.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Available: https://doi.org/10.1016/j.infsof.2007.02.015

Reference 50

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Observation 6b54dcaf-52e3-4f0c-bdff-97f3391a9b66 · outbound

This paper cites Dominance statistics: Ordinal analyses to answer ordinal questions,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Dominance statistics: Ordinal analyses to answer ordinal questions,

Reference 51

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Observation 8fde86f0-3afc-4c8e-9048-8bdef891f245 · outbound

This paper cites Robust confidence intervals for effect sizes: A comparative study of Cohen’s d and Cliff’s delta under non-normality and heterogeneous variances,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Robust confidence intervals for effect sizes: A comparative study of Cohen’s d and Cliff’s delta under non-normality and heterogeneous variances,

Reference 52

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Observation e74c358d-e275-4abd-8746-c946f2418f7e · outbound

This paper cites The Kolmogorov-Smirnov test for goodness of fit,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE The Kolmogorov-Smirnov test for goodness of fit,

Reference 53

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Observation 1b5ba3ab-25b4-4e0c-ac62-94cce1b404fe · outbound

This paper cites Probable correctness theory,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Probable correctness theory,

Reference 54

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Observation 961b9ad1-a423-4609-bb75-1d392f767a46 · outbound

This paper cites New effect size rules of thumb,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE New effect size rules of thumb,

Reference 55

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Observation 97ff7883-0d6b-4302-8ae7-2b7114cfe758 · outbound

This paper cites an unresolved cited work.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Unresolved cited work

Reference 56

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Observation 3ab0a5c7-6f05-45a8-bfcf-c82acc849866 · outbound

This paper cites Large language model-based evolutionary optimizer: Reasoning with elitism,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Large language model-based evolutionary optimizer: Reasoning with elitism,

Reference 57

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Observation e203f3f9-7aeb-48e0-8f53-efdd111139f6 · outbound

This paper cites Improving LLM-based global optimization with search space partitioning,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Improving LLM-based global optimization with search space partitioning,

Reference 58

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Observation 081cb6f1-1d37-4810-8f2f-9909edeeed2b · outbound

This paper cites Evolution of heuristics: towards efficient automatic algorithm design using large language model,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Evolution of heuristics: towards efficient automatic algorithm design using large language model,

Reference 59

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Observation e5b81d8a-1a9f-47a4-8156-5e1a020419bc · outbound

This paper cites Reevo: large language models as hyper-heuristics with reflective evolution,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Reevo: large language models as hyper-heuristics with reflective evolution,

Reference 60

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Observation 3791ede6-2a2c-4e25-b8b5-2a5fe3124c49 · outbound

This paper cites Search-based llms for code optimization,.

Better Together, in the Right Order: Classical-then-LLM Optimization for SE Search-based llms for code optimization,

Reference 61

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Pith citing papers

No inbound Pith citation observations are available.