Traxia is a proposed agent-native scientific publishing framework with five formalised components: agent identity registry, verifiable publishing layer, four-tier peer review, reputation engine, and knowledge graph with contradiction detection.
Loïc Lannelongue, Jason Grealey, and Michael Inouye
4 Pith papers cite this work. Polarity classification is still indexing.
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2026 4representative citing papers
PATH is extended with three fitted P(m_r|z) prior models combined with P(z|DM), raising host-association confidence for ASKAP FRBs while showing fainter-than-expected host magnitude distribution.
NBI-Slurm delivers a Perl-based interface to SLURM with job-viewing TUIs, bioinformatic tool wrappers, and an eco mode that automatically shifts flexible jobs to low-energy periods.
Presents twelve tips to address challenges like data gravity, heterogeneous resources, and orchestration in AI-driven HPC workflows for computational biology.
citing papers explorer
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Traxia: A Framework for Verifiable, Agent-Native Scientific Publishing
Traxia is a proposed agent-native scientific publishing framework with five formalised components: agent identity registry, verifiable publishing layer, four-tier peer review, reputation engine, and knowledge graph with contradiction detection.
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Updating the PATH framework with FRB host galaxy models
PATH is extended with three fitted P(m_r|z) prior models combined with P(z|DM), raising host-association confidence for ASKAP FRBs while showing fainter-than-expected host magnitude distribution.
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NBI-Slurm: Simplified submission of Slurm jobs with energy saving mode
NBI-Slurm delivers a Perl-based interface to SLURM with job-viewing TUIs, bioinformatic tool wrappers, and an eco mode that automatically shifts flexible jobs to low-energy periods.
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Twelve quick tips for designing AI-driven HPC workflows
Presents twelve tips to address challenges like data gravity, heterogeneous resources, and orchestration in AI-driven HPC workflows for computational biology.