Held-out transition-pair falsifier on S3 x S3 shows projected recurrent state model achieves perfect final-state prediction up to 1M+ tokens while matched baselines fail.
Openclip, July 2021
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LAION-5B is an openly released dataset of 5.85 billion CLIP-filtered image-text pairs that enables replication of foundational vision-language models.
Pilot study shows agent decision reconstructability varies by vendor SDK regime, with completeness scores from 42.9% to 85.7% and consistent gaps in reasoning traces.
HERITRACE is a domain-agnostic framework for SHACL-driven RDF curation with automatic provenance and change tracking.
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A Held-Out Transition-Pair Falsifier for Long-Horizon Non-Abelian State Tracking
Held-out transition-pair falsifier on S3 x S3 shows projected recurrent state model achieves perfect final-state prediction up to 1M+ tokens while matched baselines fail.
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LAION-5B: An open large-scale dataset for training next generation image-text models
LAION-5B is an openly released dataset of 5.85 billion CLIP-filtered image-text pairs that enables replication of foundational vision-language models.
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Property-Level Reconstructability of Agent Decisions: An Anchor-Level Pilot Across Vendor SDK Adapter Regimes
Pilot study shows agent decision reconstructability varies by vendor SDK regime, with completeness scores from 42.9% to 85.7% and consistent gaps in reasoning traces.
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HERITRACE: a domain-agnostic framework for SHACL-driven RDF curation with provenance and change tracking
HERITRACE is a domain-agnostic framework for SHACL-driven RDF curation with automatic provenance and change tracking.