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Ravi Ranjan on Muck Rack

Ravi Ranjan

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Articles

Computer Science > Artificial Intelligence

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By Ravi Ranjan
| arXiv
Long-horizon agents increasingly use persistent memory and tools to take actions with external side effects. A central failure mode is premature commitment: an agent acts before resolving whether its memory grounding is stale, conflicting, incomplete, or corrupted. We formalize this problem as safe commitment under memory uncertainty and introduce SafeCommit, a risk controlled layer between agent reasoning and external execution.
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Synergy between reactive manganese species and enzymes drives litter decomposition hotspots

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By Nathan Chin, Luiz A. Domeignoz-Horta, Morris Jones, Ravi Ranjan, Malak Tfaily, Kristen DeAngelis, Marco Keiluweit, Xiao Jun A. Liu
| Nature Verified
Abstract Oxidative decomposition of plant litter is a central control on carbon storage and productivity in terrestrial ecosystems. Although this process is commonly assumed to be greatest under oxic conditions, recent findings highlight redox-sensitive metals and enzymes as potent, but poorly understood, mediators.
Open in Who Shared Issue with article?

Synergy between reactive manganese species and enzymes drives litter decomposition hotspots

|
By Nathan Chin, Luiz A. Domeignoz-Horta, Xiao Jun A. Liu, Morris Jones, Ravi Ranjan, Malak Tfaily, Kristen DeAngelis, Marco Keiluweit
| Nature Verified
Abstract Oxidative decomposition of plant litter is a central control on carbon storage and productivity in terrestrial ecosystems. Although this process is commonly assumed to be greatest under oxic conditions, recent findings highlight redox-sensitive metals and enzymes as potent, but poorly understood, mediators.
Open in Who Shared Issue with article?
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