Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-19T14:48:56.004903Z
Paper Citation Record · LEDGER
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap
As of 4 August 2026, this Paper Citation Record lists 100 of 213 outbound references and 0 inbound Pith citation observations for arXiv:2505.19625.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
100 of 213 outbound references displayed
- verified exact62
- verified fuzzy18
- unresolved0
- parse uncertain0
- malformed identifier2
- metadata mismatch18
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 3a0b6041-3d12-4215-881d-64d9867bbc17 · outbound
This paper cites Briand, Hadi Hemmati, and Rajwinder Kaur Panesar- Walawege.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Briand, Hadi Hemmati, and Rajwinder Kaur Panesar- Walawege
Reference 2
- Resolution
- metadata mismatch
- doi, observed 2026-05-19T14:52:37.257686Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8a122d27-5e59-4ce8-95b4-608b929a80cc · outbound
This paper cites Generating test data from ocl constraints with search techniques.IEEE Transactions on Software Engineering, 39(10):1376–1402.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Generating test data from ocl constraints with search techniques.IEEE Transactions on Software Engineering, 39(10):1376–1402
Reference 3
- Resolution
- verified exact
- doi, observed 2026-05-19T14:52:37.255731Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 19a468a1-0027-46ba-a012-89a5da538182 · outbound
This paper cites Learning how to search: generating effective test cases through adaptive fitness function selection.Empirical Software Engineering, 27(2):38.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Learning how to search: generating effective test cases through adaptive fitness function selection.Empirical Software Engineering, 27(2):38
Reference 4
- Resolution
- verified exact
- doi, observed 2026-05-19T14:52:37.250426Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 31ff1f32-5fc6-49a6-8974-5015db8536e2 · outbound
This paper cites Deploying search based software engineering with Sapienz at Facebook.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Deploying search based software engineering with Sapienz at Facebook
Reference 5
- Resolution
- verified exact
- doi, observed 2026-05-19T14:52:37.212833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c0038904-3760-4dfb-b158-05943563dbf4 · outbound
This paper cites Targeting patterns of driving characteristics in testing autonomous driving systems.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Targeting patterns of driving characteristics in testing autonomous driving systems
Reference 6
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-19T14:52:37.220267Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2f210442-c358-45f4-8b7d-a7001fe461ac · outbound
This paper cites On the automation of fixing software bugs.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap On the automation of fixing software bugs
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T14:52:37.230123Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1200b4ee-a11a-4ed5-b66c-e406dfe101c3 · outbound
This paper cites Test suite generation with the many independent objective (MIO) algorithm.Information and Software Technology, 104:195–206.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Test suite generation with the many independent objective (MIO) algorithm.Information and Software Technology, 104:195–206
Reference 8
- Resolution
- verified exact
- doi, observed 2026-05-19T14:52:37.210980Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 50930997-4af4-407f-9d22-9c217f01b66b · outbound
This paper cites RESTful API automated test case generation with EvoMaster.ACM Transactions on Software Engineering and Methodology (TOSEM), 28(1):1–37.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap RESTful API automated test case generation with EvoMaster.ACM Transactions on Software Engineering and Methodology (TOSEM), 28(1):1–37
Reference 9
- Resolution
- verified exact
- doi, observed 2026-05-19T14:52:37.205665Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 021313e5-c57c-40b7-8c30-dca5a2b8a7e7 · outbound
This paper cites A hitchhiker’s guide to statistical tests for assessing randomized algorithms in software engineering.Software Testing, Verification and Reliability, 24(3):219–250.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap A hitchhiker’s guide to statistical tests for assessing randomized algorithms in software engineering.Software Testing, Verification and Reliability, 24(3):219–250
Reference 10
- Resolution
- verified exact
- doi, observed 2026-05-19T14:52:37.246638Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d950ab77-34e7-4fe8-a383-4477a36ef231 · outbound
This paper cites Parameter tuning or default values? an empirical investigation in search-based software engineering.Empirical Software Engineering, 18(3):594–623.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Parameter tuning or default values? an empirical investigation in search-based software engineering.Empirical Software Engineering, 18(3):594–623
Reference 11
- Resolution
- verified exact
- doi, observed 2026-05-19T14:52:37.214708Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3c4ae1a3-18c2-4344-a3c3-46940f444993 · outbound
This paper cites Theoretical runtime analyses of search algorithms on the test data generation for the triangle classification problem.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Theoretical runtime analyses of search algorithms on the test data generation for the triangle classification problem
Reference 12
- Resolution
- verified exact
- doi, observed 2026-05-19T14:52:37.259768Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c48a2d66-1050-462f-ad8e-3c177e1848ab · outbound
This paper cites Widening The Adoption of Web API Fuzzing: Docker, GitHub Action and Python Support for EvoMaster.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Widening The Adoption of Web API Fuzzing: Docker, GitHub Action and Python Support for EvoMaster
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T14:52:37.262427Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e7b047ba-d98e-4349-a85d-8d85fba0d7e8 · outbound
This paper cites Benchmarking open-source large language models for log level suggestion.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Benchmarking open-source large language models for log level suggestion
Reference 14
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-19T14:52:37.233198Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1008d883-4c5e-41fd-92b8-8ed308ea243d · outbound
This paper cites RESTler: Stateful REST API Fuzzing.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap RESTler: Stateful REST API Fuzzing
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T14:52:37.265272Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1c7d93fe-1232-4187-ae1f-e5d47e0c2c2d · outbound
This paper cites Search-based DNN testing and retraining with GAN-enhanced simulations.IEEE Transactions on Software Engineering, 51(4):1086–1103.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Search-based DNN testing and retraining with GAN-enhanced simulations.IEEE Transactions on Software Engineering, 51(4):1086–1103
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T14:52:37.253446Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5d9455bf-6795-4306-a49f-a6fe170da747 · outbound
This paper cites StableYolo: Optimizing Image Generation for Large Language Models.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap StableYolo: Optimizing Image Generation for Large Language Models
Reference 17
- Resolution
- malformed identifier
- raw_fallback, observed 2026-05-19T14:53:07.558499Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7ca6b18e-b5bf-47a3-9429-366bc733daed · outbound
This paper cites LLM fault localisation within evolutionary computation based automated program repair.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap LLM fault localisation within evolutionary computation based automated program repair
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T14:53:07.552396Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 01613eb3-7bfd-4634-90b4-6af7d3d86719 · outbound
This paper cites ISBN 9798400704956.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap ISBN 9798400704956
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T14:52:37.235710Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation dbe53d20-1710-4716-9a0f-d3d3c3a44d0d · outbound
This paper cites Pymoo: Multi-objective optimization in Python.IEEE Access, 8:89497–89509.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Pymoo: Multi-objective optimization in Python.IEEE Access, 8:89497–89509
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T14:53:07.556341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e46fe45b-886c-4a83-bf0b-83f7be613dac · outbound
This paper cites pymoo: Multi-Objective Optimization in Python.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap pymoo: Multi-Objective Optimization in Python
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T14:52:37.227497Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a7d247b6-3044-4fe2-ae87-38ac1a8a321e · outbound
This paper cites On the Opportunities and Risks of Foundation Models.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap On the Opportunities and Risks of Foundation Models
Reference 23
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-19T14:53:07.045779Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 30afdda5-b875-4eec-8a11-71039b67d4f1 · outbound
This paper cites LLM-assisted crossover in genetic improve- ment of software.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap LLM-assisted crossover in genetic improve- ment of software
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T14:53:07.555600Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d18c6a12-e08e-4d3e-bb35-d3b86df0fc53 · outbound
This paper cites Large language model based code completion is an effective genetic improvement mutation.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Large language model based code completion is an effective genetic improvement mutation
Reference 25
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-19T14:52:37.217423Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5e1260c3-4037-4bd2-ae21-f1643bf0cb2e · outbound
This paper cites A survey on search-based model-driven engineering.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap A survey on search-based model-driven engineering
Reference 26
- Resolution
- verified exact
- doi, observed 2026-05-19T14:52:37.248440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation dfa378a2-91c4-44ff-958a-3bbda903925b · outbound
This paper cites Large language model based mutations in genetic improvement.Automated Software Engineering, 32(1):15.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Large language model based mutations in genetic improvement.Automated Software Engineering, 32(1):15
Reference 27
- Resolution
- verified exact
- doi, observed 2026-05-19T14:52:37.240299Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 606a1173-37be-47a7-9404-38849d4c453c · outbound
This paper cites Web application tests with Selenium.IEEE Software, 26(5):88–91.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Web application tests with Selenium.IEEE Software, 26(5):88–91
Reference 28
- Resolution
- verified exact
- doi, observed 2026-05-19T14:52:37.242140Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c7031527-4db8-4832-b555-e5ec19758e1e · outbound
This paper cites Automatic generation of atomic multiplicity-preserving search operators for search-based model engineering.Software and Systems Modeling, 20(6):1857–1887.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Automatic generation of atomic multiplicity-preserving search operators for search-based model engineering.Software and Systems Modeling, 20(6):1857–1887
Reference 29
- Resolution
- verified exact
- doi, observed 2026-05-19T14:52:37.222142Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 93663c01-6a47-4d72-9ed2-e5b24314e8be · outbound
This paper cites Generating avoidable collision scenarios for testing autonomous driving systems.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Generating avoidable collision scenarios for testing autonomous driving systems
Reference 30
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-19T14:52:37.224833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7183ea28-b7fc-4ef4-89f4-616265fdab41 · outbound
This paper cites Simultaneously searching and solving multiple avoidable collisions for testing autonomous driving systems.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Simultaneously searching and solving multiple avoidable collisions for testing autonomous driving systems
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T14:53:07.554293Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b20ecee2-5d3a-42fd-8156-b7fe78532924 · outbound
This paper cites Proceedings of the 2020 Genetic and Evolutionary Computation Conference , publisher =.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Proceedings of the 2020 Genetic and Evolutionary Computation Conference , publisher =
Reference 32
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-19T14:52:37.267810Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5bb7fd1e-cbbe-4968-b0aa-061419091840 · outbound
This paper cites Continuous test generation: Enhancing continuous integration with automated test generation.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Continuous test generation: Enhancing continuous integration with automated test generation
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T14:52:37.238436Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation dfab1002-a651-4c7d-8be2-f707a205af8b · outbound
This paper cites an unresolved cited work.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Unresolved cited work
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T14:52:37.208910Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 353af48b-9c67-4389-94a4-a65c30226ff3 · outbound
This paper cites Hallucination detection in foundation models for decision-making: A flexible definition and review of the state of the art.ACM Computing Surveys, 57 (7):1–35.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Hallucination detection in foundation models for decision-making: A flexible definition and review of the state of the art.ACM Computing Surveys, 57 (7):1–35
Reference 35
- Resolution
- verified exact
- doi, observed 2026-05-19T14:52:37.244274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 66a705fa-2053-46e2-996c-b46ef777e417 · outbound
This paper cites Evaluating Large Language Models Trained on Code.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Evaluating Large Language Models Trained on Code
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T14:53:07.057296Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9bca7032-b2da-409b-b720-58d29c45c55a · outbound
This paper cites Iterative refactoring of real-world open-source programs with large language models.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Iterative refactoring of real-world open-source programs with large language models
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T14:53:07.568176Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b464df02-9e66-45c6-879d-eee778bfe4c9 · outbound
This paper cites The symposium on search-based software engineering: Past, present and future.Information and Software Technology, 127:106372.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap The symposium on search-based software engineering: Past, present and future.Information and Software Technology, 127:106372
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T14:52:36.961266Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 13ca21d9-b5de-4ea3-a437-89e62609fb6b · outbound
This paper cites Replication and comparison of computational experiments in applied evolutionary computing: common pitfalls and guidelines to avoid them.Applied Soft Computing, 19: 161–170.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Replication and comparison of computational experiments in applied evolutionary computing: common pitfalls and guidelines to avoid them.Applied Soft Computing, 19: 161–170
Reference 41
- Resolution
- verified exact
- doi, observed 2026-05-19T14:52:36.953717Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 488b99ff-bfe5-4157-8e29-21ed83ad0a11 · outbound
This paper cites Malin, and Sricharan Kumar.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Malin, and Sricharan Kumar
Reference 42
- Resolution
- verified exact
- doi, observed 2026-05-19T14:52:36.955827Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6c6cf6b5-5353-4599-a1ff-94c109d4c5e1 · outbound
This paper cites Enhancing search-based testing with llms for finding bugs in system simulators.Automated Software Engineering, 32(2): 1–45.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Enhancing search-based testing with llms for finding bugs in system simulators.Automated Software Engineering, 32(2): 1–45
Reference 44
- Resolution
- verified exact
- doi, observed 2026-05-19T14:52:36.963235Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 71979148-96d9-42d9-ba10-1174cb91a880 · outbound
This paper cites An adaptive re-evaluation method for evolution strategy under additive noise.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap An adaptive re-evaluation method for evolution strategy under additive noise
Reference 46
- Resolution
- verified exact
- doi, observed 2026-05-19T14:52:36.946455Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4dba4afc-0843-4764-8b56-216dc73c08b6 · outbound
This paper cites Ant colony optimization: a new meta-heuristic.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Ant colony optimization: a new meta-heuristic
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T14:52:36.874120Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b6a632e3-3bcf-4a5b-a261-80632eb41676 · outbound
This paper cites What to blame? on the granularity of fault localization for deep neural networks.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap What to blame? on the granularity of fault localization for deep neural networks
Reference 48
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-19T14:52:36.879915Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation eb9e5f47-71a9-4976-b059-2b1eba635043 · outbound
This paper cites Durillo and Antonio J.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Durillo and Antonio J
Reference 49
- Resolution
- verified exact
- doi, observed 2026-05-19T14:52:36.922621Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9df31e3c-8023-4c91-be32-b0dd30499554 · outbound
This paper cites DeepFault: Fault localization for deep neural networks.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap DeepFault: Fault localization for deep neural networks
Reference 50
- Resolution
- verified exact
- doi, observed 2026-05-19T14:52:36.967347Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f1fb3852-c4e4-46f1-867c-5ff85fced244 · outbound
This paper cites Large Language Models for Software Engineering: Survey and Open Problems.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Large Language Models for Software Engineering: Survey and Open Problems
Reference 52
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-19T14:52:37.189657Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0ad6010b-63d7-430c-8a42-c5f412f43178 · outbound
This paper cites Putting the smarts into robot bodies.Communications of the ACM, 68(3):6–8.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Putting the smarts into robot bodies.Communications of the ACM, 68(3):6–8
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T14:53:07.568397Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9f70f2d4-318a-42ee-bc1b-bf16eed6c646 · outbound
This paper cites URLhttps://doi.org/10.1145/3703761.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap URLhttps://doi.org/10.1145/3703761
Reference 54
- Resolution
- verified exact
- doi, observed 2026-05-19T14:52:37.194181Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f0bde947-88a7-4d48-8885-18171684523e · outbound
This paper cites Foundation models in robotics: Applications , challenges, and the future.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Foundation models in robotics: Applications , challenges, and the future
Reference 55
- Resolution
- verified exact
- doi, observed 2026-05-19T14:52:37.149112Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 95987f0d-5b46-4f12-b359-8dc8c4797f53 · outbound
This paper cites Search-based software testing driven by automatically generated and manually defined fitness functions.ACM Transactions on Software Engineering and Methodology, 33(2):1–37.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Search-based software testing driven by automatically generated and manually defined fitness functions.ACM Transactions on Software Engineering and Methodology, 33(2):1–37
Reference 56
- Resolution
- verified exact
- doi, observed 2026-05-19T14:52:37.144837Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation dd019dd3-b7a6-46da-9419-ce292ec8b372 · outbound
This paper cites EvoSuite: automatic test suite generation for object-oriented software.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap EvoSuite: automatic test suite generation for object-oriented software
Reference 57
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T14:52:37.142883Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 86ab8926-5b05-48a9-8924-fa274fb2dc6c · outbound
This paper cites Whole test suite generation.IEEE Trans.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Whole test suite generation.IEEE Trans
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T14:53:07.586721Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 20b43e2a-d118-49c2-b240-a68dff6d8364 · outbound
This paper cites Available: http://dx.doi.org/10.1109/TSE.2012.14.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Available: http://dx.doi.org/10.1109/TSE.2012.14
Reference 59
- Resolution
- verified exact
- doi, observed 2026-05-19T14:52:37.146553Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fee0d3cd-000f-4004-a49e-07a9a5684b26 · outbound
This paper cites A large-scale evaluation of automated unit test generation using EvoSuite.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap A large-scale evaluation of automated unit test generation using EvoSuite
Reference 60
- Resolution
- verified exact
- doi, observed 2026-05-19T14:52:37.135517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2874cd53-3277-4274-8952-d963e3ae54fe · outbound
This paper cites A Retrospective on Whole Test Suite Generation: On the Role of SBST in the Age of LLMs.IEEE Transactions on Software Engineering, pages 1–5.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap A Retrospective on Whole Test Suite Generation: On the Role of SBST in the Age of LLMs.IEEE Transactions on Software Engineering, pages 1–5
Reference 61
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T14:52:37.125178Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9cc8f72f-3aae-494f-97f2-6b6f6c790a0a · outbound
This paper cites Large language model-based suggestion of objective functions for search-based product line architecture design.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Large language model-based suggestion of objective functions for search-based product line architecture design
Reference 62
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T14:52:37.133739Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d0b36427-9053-4593-a639-50ef33b2acff · outbound
This paper cites Borges Jr., and Andreas Zeller.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Borges Jr., and Andreas Zeller
Reference 63
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-19T14:52:37.128235Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ec92c99b-c0dc-4cc7-8a48-8d3530667c78 · outbound
This paper cites 2025.IRFuzzer: Specialized Fuzzing for LLVM Backend Code Generation.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap 2025.IRFuzzer: Specialized Fuzzing for LLVM Backend Code Generation
Reference 64
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-19T14:52:37.113078Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fb82c236-9013-4590-ae3a-6947f53abe86 · outbound
This paper cites Differential regression testing for REST APIs.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Differential regression testing for REST APIs
Reference 66
- Resolution
- verified exact
- doi, observed 2026-05-19T14:52:37.106291Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9ccb3869-c3bc-465a-b995-fdb73533d7dd · outbound
This paper cites Testing RESTful APIs: A survey.ACM Trans.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Testing RESTful APIs: A survey.ACM Trans
Reference 67
- Resolution
- verified exact
- doi, observed 2026-05-19T14:52:37.108241Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d0198fe3-ef87-4d5d-8892-8cb7c07d332e · outbound
This paper cites Can LLMs make robots smarter?Communications of the ACM, 68(2):11–13.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Can LLMs make robots smarter?Communications of the ACM, 68(2):11–13
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- Resolution
- verified exact
- doi, observed 2026-05-19T14:52:37.110262Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation faca4d8f-cdcf-418b-9a07-1186d692d0ec · outbound
This paper cites Connecting large language models with evolutionary algorithms yields powerful prompt optimizers.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Connecting large language models with evolutionary algorithms yields powerful prompt optimizers
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T14:53:07.590722Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 136e98e0-f376-4e52-bee3-4b72f05815fd · outbound
This paper cites Reinforcement learning for mutation operator selection in auto- mated program repair.Automated Software Engineering, 32(2):1–33.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Reinforcement learning for mutation operator selection in auto- mated program repair.Automated Software Engineering, 32(2):1–33
Reference 73
- Resolution
- verified exact
- doi, observed 2026-05-19T14:52:37.102466Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ea2b9c6b-8ea6-4aa1-98ad-c050617a7f76 · outbound
This paper cites Search-based software engineering.Information and software Technology, 43 (14):833–839.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Search-based software engineering.Information and software Technology, 43 (14):833–839
Reference 74
- Resolution
- verified exact
- doi, observed 2026-05-19T14:52:37.104283Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9d51bdf0-2ee9-45c4-ab23-a1a4964104ea · outbound
This paper cites A theoretical and empirical study of search-based testing: Local, global, and hybrid search.IEEE Transactions on Software Engineering, 36(2):226–247.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap A theoretical and empirical study of search-based testing: Local, global, and hybrid search.IEEE Transactions on Software Engineering, 36(2):226–247
Reference 75
- Resolution
- verified exact
- doi, observed 2026-05-19T14:52:37.095991Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation eba249b1-bef7-4c7c-80ec-edfd359b8bd3 · outbound
This paper cites Search-based software engineering: Trends, techniques and applications.ACM Computing Surveys (CSUR), 45(1):1–61.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Search-based software engineering: Trends, techniques and applications.ACM Computing Surveys (CSUR), 45(1):1–61
Reference 76
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-19T14:52:37.100588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e0cb7b97-024f-4acc-ace0-03afd8c9a2cf · outbound
This paper cites Achievements, open problems and challenges for search based software testing.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Achievements, open problems and challenges for search based software testing
Reference 77
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T14:52:37.093763Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 81ec1be5-c923-4bc2-a860-41b4c2e1b440 · outbound
This paper cites Exploring llm-based agents for root cause analysis.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Exploring llm-based agents for root cause analysis
Reference 78
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-19T14:52:37.116102Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8eebf198-3437-4073-bbc3-b6d3ecab53dc · outbound
This paper cites Genetic algorithms.Scientific american, 267(1):66–73.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Genetic algorithms.Scientific american, 267(1):66–73
Reference 79
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T14:53:07.606266Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e23bd15f-b56b-4e60-85ec-61ea7e2e5398 · outbound
This paper cites Evolving paradigms in automated program repair: Taxonomy, challenges, and opportunities.ACM Computing Surveys, 57(2):1–43.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Evolving paradigms in automated program repair: Taxonomy, challenges, and opportunities.ACM Computing Surveys, 57(2):1–43
Reference 80
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T14:53:07.621634Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 693a567f-3e33-4fc0-bb4f-d17bf8e3aa26 · outbound
This paper cites Evolv- ing paradigms in automated program repair: Taxonomy, challenges, and opportunities.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Evolv- ing paradigms in automated program repair: Taxonomy, challenges, and opportunities
Reference 81
- Resolution
- verified exact
- doi, observed 2026-05-19T14:52:37.082515Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 31a52432-ca5c-481c-b5b1-948d1ac79cce · outbound
This paper cites Palacio, Dipin Khati, Henry Burke, and Denys Poshyvanyk.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Palacio, Dipin Khati, Henry Burke, and Denys Poshyvanyk
Reference 82
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-19T14:52:37.059238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation da78761b-1bdd-4fbe-adb3-ac8987849fea · outbound
This paper cites LLMs in the Heart of Differential Testing: A Case Study on a Medical Rule Engine.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap LLMs in the Heart of Differential Testing: A Case Study on a Medical Rule Engine
Reference 83
- Resolution
- verified exact
- doi, observed 2026-05-19T14:52:37.056395Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d28cf468-5360-4981-b376-70709c12530e · outbound
This paper cites A survey on large language models for code generation.ACM Transactions on Software Engineering and Methodology, 35 (2):1–72.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap A survey on large language models for code generation.ACM Transactions on Software Engineering and Methodology, 35 (2):1–72
Reference 84
- Resolution
- verified exact
- doi, observed 2026-05-19T14:52:37.045087Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 547eef23-fb07-40fc-920f-a4a7062e6851 · outbound
This paper cites An automated search-based test model generation approach for structural testing of model transformations.Journal of Software: Evolution and Process, 34(11):e2461.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap An automated search-based test model generation approach for structural testing of model transformations.Journal of Software: Evolution and Process, 34(11):e2461
Reference 85
- Resolution
- verified exact
- doi, observed 2026-05-19T14:52:37.047164Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2688ee3e-0c33-47d7-b3d9-5e10f31676b9 · outbound
This paper cites Towards objective-tailored genetic improvement through large language models.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Towards objective-tailored genetic improvement through large language models
Reference 86
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- verified exact
- arxiv_id, observed 2026-05-19T14:52:37.064149Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5a0511ee-48ae-4ee8-916b-80667006ef8f · outbound
This paper cites Deceiving humans and machines alike: Search-based test input generation for DNNs using variational autoencoders.ACM Trans.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Deceiving humans and machines alike: Search-based test input generation for DNNs using variational autoencoders.ACM Trans
Reference 87
- Resolution
- verified exact
- doi, observed 2026-05-19T14:52:37.070911Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 67988a78-b8a8-432a-82d9-282be2801ad4 · outbound
This paper cites Evaluating diverse large language models for automatic and general bug reproduction.IEEE Transactions on Software Engineering, 50(10):2677–2694.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Evaluating diverse large language models for automatic and general bug reproduction.IEEE Transactions on Software Engineering, 50(10):2677–2694
Reference 88
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T14:53:07.590542Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e9d6fbb8-863d-4dca-97a2-2829ec094a03 · outbound
This paper cites an unresolved cited work.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Unresolved cited work
Reference 89
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T14:52:37.000242Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2300d01c-07f1-417e-861b-ad13af6e736d · outbound
This paper cites Real-world robot applications of foundation models: A review.Advanced Robotics, 38(18):1232–1254.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Real-world robot applications of foundation models: A review.Advanced Robotics, 38(18):1232–1254
Reference 90
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-19T14:52:37.002942Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5092b62e-72dd-4a6b-b59d-02bc0d5099f3 · outbound
This paper cites Kephart and David M.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Kephart and David M
Reference 91
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T14:53:07.600881Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 89a1da37-f1b3-4d41-989d-a8d69a937da8 · outbound
This paper cites Computer36(1), 41–50 (2003).
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Computer36(1), 41–50 (2003)
Reference 92
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-19T14:52:37.088470Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 86e3df2c-5db5-451d-961b-88834be0f216 · outbound
This paper cites Search-based approaches to optimizing software product line architectures: a systematic literature review.Information and Software Technology, 170:107446.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Search-based approaches to optimizing software product line architectures: a systematic literature review.Information and Software Technology, 170:107446
Reference 93
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T14:52:36.997813Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7a5e0e3b-8b96-4a68-a09d-108f894ec87b · outbound
This paper cites Leveraging large language models to improve rest api testing.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Leveraging large language models to improve rest api testing
Reference 94
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T14:53:07.594836Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 95360570-e3a5-4873-820e-2fc76c813812 · outbound
This paper cites Large language model for vulnerability detection: Emerging results and future directions.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Large language model for vulnerability detection: Emerging results and future directions
Reference 95
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-19T14:52:37.006565Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 92e2b0b3-f373-4d3e-8827-386045dfe288 · outbound
This paper cites LlamaRestTest: Effective REST API Testing with Small Language Models.Proceedings of the ACM on Software Engineering, 2(FSE):465–488.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap LlamaRestTest: Effective REST API Testing with Small Language Models.Proceedings of the ACM on Software Engineering, 2(FSE):465–488
Reference 96
- Resolution
- verified exact
- doi, observed 2026-05-19T14:52:37.008781Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9c574112-6624-4856-8ee7-76edaaec1300 · outbound
This paper cites Trust your neighbours: Handling noise in multi-objective optimisation using kNN-averaging.Applied Soft Computing, 146:110631.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Trust your neighbours: Handling noise in multi-objective optimisation using kNN-averaging.Applied Soft Computing, 146:110631
Reference 97
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T14:52:37.015287Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 00ddcf68-2997-40a8-8588-b2a1c2ad1c94 · outbound
This paper cites Genetic algorithms.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Genetic algorithms
Reference 98
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T14:53:07.632033Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d88d7886-59ac-449d-bcf2-24a730f0f53a · outbound
This paper cites Robotic safe adaptation in unprecedented situations: the RoboSAPIENS project.Res.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Robotic safe adaptation in unprecedented situations: the RoboSAPIENS project.Res
Reference 99
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- verified exact
- doi, observed 2026-05-19T14:52:37.199154Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8540a699-186a-497d-92d7-d95742d5fdb7 · outbound
This paper cites Achieving weight coverage for an autonomous driving system with search-based test generation.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Achieving weight coverage for an autonomous driving system with search-based test generation
Reference 100
- Resolution
- verified exact
- doi, observed 2026-05-19T14:52:36.976934Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 448f62db-8aa1-48f1-861c-6720c15c2ca0 · outbound
This paper cites In 45th IEEE/ACM International Conference on Software Engineering, ICSE 2023, Melbourne, Australia, May 14-20.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap In 45th IEEE/ACM International Conference on Software Engineering, ICSE 2023, Melbourne, Australia, May 14-20
Reference 101
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-19T14:52:36.986565Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 69c45e64-bb30-4c96-9579-4440a0ef22c7 · outbound
This paper cites A V-FUZZER: Finding safety violations in autonomous driving systems.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap A V-FUZZER: Finding safety violations in autonomous driving systems
Reference 102
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T14:52:36.949241Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 445f7903-fd11-4ede-90ef-0d912e144ce5 · outbound
This paper cites In2025 IEEE/ACM 47th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP).
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap In2025 IEEE/ACM 47th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)
Reference 103
- Resolution
- malformed identifier
- arxiv_id, observed 2026-05-19T14:53:07.050767Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b7032722-26a5-41d2-8ad2-e1dc119237fc · outbound
This paper cites Enhancing static analysis for practical bug detection: An llm-integrated approach.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Enhancing static analysis for practical bug detection: An llm-integrated approach
Reference 104
- Resolution
- verified exact
- doi, observed 2026-05-19T14:52:36.944555Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 85c260f1-61c7-4127-bea9-dcabe45d8245 · outbound
This paper cites IRIS: LLM-assisted static analysis for detecting security vulnerabilities.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap IRIS: LLM-assisted static analysis for detecting security vulnerabilities
Reference 106
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T14:53:07.611158Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cef1cc35-b18b-4f35-a393-aacc4fdcc54f · outbound
This paper cites URLhttps://openreview.net/forum?id=9LdJDU7E91.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap URLhttps://openreview.net/forum?id=9LdJDU7E91
Reference 107
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T14:53:07.628648Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 81eb4b4d-88ee-4152-8323-01f16a842f3b · outbound
This paper cites Adaptive search-based repair of deep neural networks.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Adaptive search-based repair of deep neural networks
Reference 108
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T14:52:36.937939Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b0c29ba1-5195-4345-a514-e00946937adb · outbound
This paper cites Distributed repair of deep neural networks.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Distributed repair of deep neural networks
Reference 109
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T14:53:07.626780Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation dca9d653-8687-4f15-996b-b46b54a3ad7e · outbound
This paper cites Simulation-based test case generation for unmanned aerial vehicles in the neighborhood of real flights.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Simulation-based test case generation for unmanned aerial vehicles in the neighborhood of real flights
Reference 110
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T14:52:36.989595Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4b3fd339-de33-429d-8425-de06563d35c8 · outbound
This paper cites Leveraging search-based and pre-trained code language models for automated program repair.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Leveraging search-based and pre-trained code language models for automated program repair
Reference 111
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T14:52:36.885541Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a3cda235-546c-4d98-a17e-b723ea8c92df · outbound
This paper cites Evolution of heuristics: towards efficient automatic algorithm design using large language model.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap Evolution of heuristics: towards efficient automatic algorithm design using large language model
Reference 112
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T14:53:07.630468Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Pith citing papers
No inbound Pith citation observations are available.