Beyond the Autoregressive Horizon: A Comprehensive Survey of Diffusion Models, World Modelling, and State Space Models for Code
arXiv 2606.23690•38898e9562c635a9aa36c8a78011fa615250ca46facfb1f126f8afddd92cf48f
C-languageESAAGDPRLLM-agentsLOLASemChunk-Cautoregressive-modelsbinary-analysiscode-generationcode-intelligenceconversational-memorydiffusion-modelsevent-sourcinggoal-oriented-dialogues','GODR','Jupyter-notebooks','bug-dete c=graph-neural-networksmodel-based-diagnosisprivacy-engineeringprivacy-enhancing-technologiesreverse-engineeringruntime-verificationsemantic-chunkingstate-space-modelstransformerstype-inferenceworld-models
Paper metadata
- arXiv ID
- 2606.23690
- Version
- Not specified by this published record
- Category
- Computer Science — Software Engineering (cs.SE)
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Evidence and limitations
- Source ID
- arxiv_cs_se
- Record identifier
- 38898e9562c635a9aa36c8a78011fa615250ca46facfb1f126f8afddd92cf48f
- Enrichment time
- 2026-06-24T08:51:51Z
- AI-assisted enrichment
- Yes
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