On the public citation graph

GEVO

0 signed · 90 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-01246-5_2openalex-snapshot
Progressive Neural Architecture Search
inferredcites →https://doi.org/10.1007/978-3-319-22183-0_20openalex-snapshot
Object-Oriented Genetic Improvement for Improved Energy Consumption in Google Guava
inferredcites →https://doi.org/10.1007/978-3-540-78800-3_24openalex-snapshot
Z3: An Efficient SMT Solver
inferredcites →https://doi.org/10.1007/978-3-662-46669-8_12openalex-snapshot
The Problem of Programming Language Concurrency Semantics
inferredcites →https://doi.org/10.1007/s10710-013-9195-8openalex-snapshot
Software mutational robustness
inferredcites →https://doi.org/10.1016/b978-1-55860-377-6.50014-1openalex-snapshot
Removing the Genetics from the Standard Genetic Algorithm
inferredcites →https://doi.org/10.1016/j.jcp.2008.01.047openalex-snapshot
General purpose molecular dynamics simulations fully implemented on graphics processing units
inferredcites →https://doi.org/10.1090/s0025-5718-1977-0438681-4openalex-snapshot
An iterative solution method for linear systems of which the coefficient matrix is a symmetric 𝑀-matrix
inferredcites →https://doi.org/10.1093/genetics/144.1.419openalex-snapshot
The Rate of Compensatory Evolution
inferredcites →https://doi.org/10.1109/34.709614openalex-snapshot
Large-scale parallel data clustering
inferredcites →https://doi.org/10.1109/4235.996017openalex-snapshot
A fast and elitist multiobjective genetic algorithm: NSGA-II
inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot
Gradient-based learning applied to document recognition
inferredcites →https://doi.org/10.1109/ase.2019.00046openalex-snapshot
Understanding Automatically-Generated Patches Through Symbolic Invariant Differences
inferredcites →https://doi.org/10.1109/cec.1999.782671openalex-snapshot
Shuffle crossover and mutual information
inferredcites →https://doi.org/10.1109/cgo.2009.21openalex-snapshot
Automatic Feature Generation for Machine Learning Based Optimizing Compilation
inferredcites →https://doi.org/10.1109/cvpr.1993openalex-snapshot
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.351openalex-snapshot
Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors
inferredcites →https://doi.org/10.1109/gi.2019.00014openalex-snapshot
Genetic Improvement of GPU Code
inferredcites →https://doi.org/10.1109/hpca.2018.00059openalex-snapshot
Applied Machine Learning at Facebook: A Datacenter Infrastructure Perspective
inferredcites →https://doi.org/10.1109/hpcc.2008.38openalex-snapshot
Scientific Cloud Computing: Early Definition and Experience
inferredcites →https://doi.org/10.1109/iccd.2016.7753271openalex-snapshot
Ctrl-C: Instruction-Aware Control Loop Based Adaptive Cache Bypassing for GPUs
inferredcites →https://doi.org/10.1109/iccv.2017.298openalex-snapshot
Learning Efficient Convolutional Networks through Network Slimming
inferredcites →https://doi.org/10.1109/icse.2009.5070536openalex-snapshot
Automatically finding patches using genetic programming
inferredcites →https://doi.org/10.1109/icse.2012.6227211openalex-snapshot
A systematic study of automated program repair: Fixing 55 out of 105 bugs for $8 each
inferredcites →https://doi.org/10.1109/iiswc.2016.7581276openalex-snapshot
ID-cache: instruction and memory divergence based cache management for GPUs
inferredcites →https://doi.org/10.1109/mdat.2016.2630270openalex-snapshot
AxBench: A Multiplatform Benchmark Suite for Approximate Computing
inferredcites →https://doi.org/10.1109/micro.2010.40openalex-snapshot
ASF: AMD64 Extension for Lock-Free Data Structures and Transactional Memory
inferredcites →https://doi.org/10.1109/mm.2015.71openalex-snapshot
Achieving Exascale Capabilities through Heterogeneous Computing
inferredcites →https://doi.org/10.1109/mm.2020.2974843openalex-snapshot
MLPerf: An Industry Standard Benchmark Suite for Machine Learning Performance
inferredcites →https://doi.org/10.1109/tevc.2010.2083669openalex-snapshot
Evolutionary Improvement of Programs
inferredcites →https://doi.org/10.1109/tse.2011.104openalex-snapshot
GenProg: A Generic Method for Automatic Software Repair
inferredcites →https://doi.org/10.1109/tse.2013.44openalex-snapshot
Overcoming the Equivalent Mutant Problem: A Systematic Literature Review and a Comparative Experiment of Second Order Mutation
inferredcites →https://doi.org/10.1109/tse.2017.2775634openalex-snapshot
Automatically Exploring Tradeoffs Between Software Output Fidelity and Energy Costs
inferredcites →https://doi.org/10.1109/tse.2018.2827066openalex-snapshot
Approximate Oracles and Synergy in Software Energy Search Spaces
inferredcites →https://doi.org/10.1145/1168919.1168906openalex-snapshot
Automatic generation of peephole superoptimizers
inferredcites →https://doi.org/10.1145/1273496.1273556openalex-snapshot
An empirical evaluation of deep architectures on problems with many factors of variation
inferredcites →https://doi.org/10.1145/1569901.1570031openalex-snapshot
A genetic programming approach to automated software repair
inferredcites →https://doi.org/10.1145/1961189.1961199openalex-snapshot
LIBSVM
inferredcites →https://doi.org/10.1145/1993316.1993506openalex-snapshot
Synthesis of loop-free programs
inferredcites →https://doi.org/10.1145/2024156.2024186openalex-snapshot
Genetic programming for shader simplification
inferredcites →https://doi.org/10.1145/2025113.2025133openalex-snapshot
Managing performance vs. accuracy trade-offs with loop perforation
inferredcites →https://doi.org/10.1145/2145816openalex-snapshot
Proceedings of the 17th ACM SIGPLAN symposium on Principles and Practice of Parallel Programming
inferredcites →https://doi.org/10.1145/2304576.2304582openalex-snapshot
Characterizing and improving the use of demand-fetched caches in GPUs
inferredcites →https://doi.org/10.1145/2330784.2330799openalex-snapshot
DEAP
inferredcites →https://doi.org/10.1145/2451116.2451151openalex-snapshot
Automated repair of binary and assembly programs for cooperating embedded devices
inferredcites →https://doi.org/10.1145/2487575.2487629openalex-snapshot
Auto-WEKA
inferredcites →https://doi.org/10.1145/2490301.2451150openalex-snapshot
Stochastic superoptimization
inferredcites →https://doi.org/10.1145/2509578.2509586openalex-snapshot
Growing solver-aided languages with rosette
inferredcites →https://doi.org/10.1145/2517349.2522739openalex-snapshot
A lightweight infrastructure for graph analytics
inferredcites →https://doi.org/10.1145/2541940.2541980openalex-snapshot
Post-compiler software optimization for reducing energy
inferredcites →https://doi.org/10.1145/2568225.2568297openalex-snapshot
SEEDS: a software engineer's energy-optimization decision support framework
inferredcites →https://doi.org/10.1145/2594291.2594340openalex-snapshot
A lightweight symbolic virtual machine for solver-aided host languages
inferredcites →https://doi.org/10.1145/2666356.2594302openalex-snapshot
Stochastic optimization of floating-point programs with tunable precision
inferredcites →https://doi.org/10.1145/2739480.2754652openalex-snapshot
Improving CUDA DNA Analysis Software with Genetic Programming
inferredcites →https://doi.org/10.1145/2739480.2754752openalex-snapshot
Reducing Energy Consumption Using Genetic Improvement
inferredcites →https://doi.org/10.1145/2739482.2768427openalex-snapshot
Repairing COTS Router Firmware without Access to Source Code or Test Suites
inferredcites →https://doi.org/10.1145/2814270.2814278openalex-snapshot
Conditionally correct superoptimization
inferredcites →https://doi.org/10.1145/2854038.2854041openalex-snapshot
gpucc: an open-source GPGPU compiler
inferredcites →https://doi.org/10.1145/2858788.2688523openalex-snapshot
The SprayList: a scalable relaxed priority queue
inferredcites →https://doi.org/10.1145/3067695.3082517openalex-snapshot
Fixing bugs in your sleep
inferredcites →https://doi.org/10.1145/3067695.3082518openalex-snapshot
Modelling genetic improvement landscapes with local optima networks
inferredcites →https://doi.org/10.1145/3093337.3037754openalex-snapshot
Sound Loop Superoptimization for Google Native Client
inferredcites →https://doi.org/10.1145/3140659.3080231openalex-snapshot
MCM-GPU
inferredcites →https://doi.org/10.1145/3205455openalex-snapshot
Proceedings of the Genetic and Evolutionary Computation Conference
inferredcites →https://doi.org/10.1145/3341301.3359630openalex-snapshot
TASO
inferredcites →https://doi.org/10.1145/996841openalex-snapshot
Proceedings of the ACM SIGPLAN 2004 conference on Programming language design and implementation
inferredcites →https://doi.org/10.1162/106365602320169811openalex-snapshot
Evolving Neural Networks through Augmenting Topologies
inferredcites →https://doi.org/10.1162/artl.2009.15.2.15202openalex-snapshot
A Hypercube-Based Encoding for Evolving Large-Scale Neural Networks
inferredcites →https://doi.org/10.2307/2005786openalex-snapshot
An Iterative Solution Method for Linear Systems of Which the Coefficient Matrix is a Symmetric M-Matrix
inferredcites →https://doi.org/10.5555/299094openalex-snapshot
Advances in kernel methods: support vector learning
inferredcites →https://doi.org/10.5555/3291125.3291126openalex-snapshot
Numerical analysis near singularities in RBF networks
inferredcites →https://doi.org/10.57702/zp44cu3gopenalex-snapshot
Learning Multiple Layers of Features from Tiny Images

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-031-29573-7_16openalex-snapshot
Genetic Improvement of LLVM Intermediate Representation
inferred← citeshttps://doi.org/10.1007/978-3-031-56957-9_13openalex-snapshot
Genetic Improvement of Last Level Cache
inferred← citeshttps://doi.org/10.1007/978-3-031-90573-5_7openalex-snapshot
Generative AI for Code Development: Advancements, Limitations, and Prospects
inferred← citeshttps://doi.org/10.1007/s10703-025-00480-7openalex-snapshot
Preserving provability over GPU program optimizations with annotation-aware transformations
inferred← citeshttps://doi.org/10.1007/s10710-023-09467-xopenalex-snapshot
Jaws 30
inferred← citeshttps://doi.org/10.1016/j.artint.2023.103962openalex-snapshot
Iterative genetic improvement: Scaling stochastic program synthesis
inferred← citeshttps://doi.org/10.1016/j.swevo.2020.100828openalex-snapshot
Non-revisiting stochastic search revisited: Results, perspectives, and future directions
inferred← citeshttps://doi.org/10.1038/s41598-026-38258-4openalex-snapshot
ResNet18-ThunderSVM: Hybrid intelligence for handwritten digit recognition by fusing deep spatial features and high-performance classification
inferred← citeshttps://doi.org/10.1038/s42256-020-00278-8openalex-snapshot
A biological perspective on evolutionary computation
inferred← citeshttps://doi.org/10.1109/gi59320.2023.00011openalex-snapshot
Genetic Improvement of OLC and H3 with Magpie
inferred← citeshttps://doi.org/10.1109/iiswc55918.2022.00025openalex-snapshot
Understanding the Power of Evolutionary Computation for GPU Code Optimization
inferred← citeshttps://doi.org/10.1109/isca66397.2026.00063openalex-snapshot
KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta
inferred← citeshttps://doi.org/10.1145/3520304.3534004openalex-snapshot
Evaluation of genetic improvement tools for improvement of non-functional properties of software
inferred← citeshttps://doi.org/10.1145/3703920openalex-snapshot
Evolving to Find Optimizations Humans Miss: Using Evolutionary Computation to Improve GPU Code for Bioinformatics Applications
inferred← citeshttps://doi.org/10.1145/3736170openalex-snapshot
AOBO: A Fast-Switching Online Binary Optimizer on AArch64
inferred← citeshttps://doi.org/10.20948/graphicon-2021-3027-930-941openalex-snapshot
Method for Adaptation of Algorithms to GPU Architecture
inferred← citeshttps://doi.org/10.3390/math11173744openalex-snapshot
The Impact of Code Bloat on Genetic Program Comprehension: Replication of a Controlled Experiment on Semantic Inference
inferred← citeshttps://doi.org/10.48550/arxiv.2105.02198openalex-snapshot
Foundations of Intelligence in Natural and Artificial Systems: A Workshop Report
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.