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Full Abstraction for Probabilistic PCF

Research article (Journal of the ACM, 2018) · cited 45× · AI/ML
academia openalex:W2963573740
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Full Abstraction for Probabilistic PCF

Summary

Full Abstraction for Probabilistic PCF is a scholarly article[1].

Key Facts

  • Full Abstraction for Probabilistic PCF's instance of is recorded as scholarly article[2].

Related Entities

Thomas Ehrhard

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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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.

APA 4ort.xyz Knowledge Graph. (2026). Full Abstraction for Probabilistic PCF. Retrieved May 24, 2026, from https://4ort.xyz/entity/full-abstraction-for-probabilistic-pcf
MLA “Full Abstraction for Probabilistic PCF.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/full-abstraction-for-probabilistic-pcf.
BibTeX @misc{4ortxyz_full-abstraction-for-probabilistic-pcf_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Full Abstraction for Probabilistic PCF}}, year = {2026}, url = {https://4ort.xyz/entity/full-abstraction-for-probabilistic-pcf}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Full Abstraction for Probabilistic PCF — https://4ort.xyz/entity/full-abstraction-for-probabilistic-pcf (retrieved 2026-05-24)

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