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StateFormer: fine-grained type recovery from binaries using generative state modeling
Research article (Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021) · cited 48× · AI/ML
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). StateFormer: fine-grained type recovery from binaries using generative state modeling. Retrieved May 24, 2026, from https://4ort.xyz/entity/stateformer-fine-grained-type-recovery-from-binaries-using-generative-state-modeling
MLA“StateFormer: fine-grained type recovery from binaries using generative state modeling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/stateformer-fine-grained-type-recovery-from-binaries-using-generative-state-modeling.
BibTeX@misc{4ortxyz_stateformer-fine-grained-type-recovery-from-binaries-using-generative-state-modeling_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{StateFormer: fine-grained type recovery from binaries using generative state modeling}}, year = {2026}, url = {https://4ort.xyz/entity/stateformer-fine-grained-type-recovery-from-binaries-using-generative-state-modeling}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): StateFormer: fine-grained type recovery from binaries using generative state modeling — https://4ort.xyz/entity/stateformer-fine-grained-type-recovery-from-binaries-using-generative-state-modeling (retrieved 2026-05-24)
