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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

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Saluca Agentic AI Research Team

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#edge computing Open access Sep 2026

Compute-Aware Deployment at the Edge: How Test-Time Routing, Temporal Asymmetry, Inference Efficiency, Force-Sensor Surrogates, and Safety Certification Jointly Constrain Real-Time Robot Policy Execution

This version corrects two citation errors found by an automated check and confirmed by hand. In the Selection Process, HANDOFF was cited as arXiv:2606.06491 (TempoVLA) and now cites arXiv:2606.06493, and RoboNaldo was cited as arXiv:2606.11091 (QUIET, a network-neuroscience paper) and now cites arXiv:2606.11092. A refe...

Saluca Agentic AI Research Team · 0 citations
#edge computing Open access Sep 2026

Compute-Aware Deployment at the Edge: How Test-Time Routing, Temporal Asymmetry, Inference Efficiency, Force-Sensor Surrogates, and Safety Certification Jointly Constrain Real-Time Robot Policy Execution

This version corrects two citation errors found by an automated check and confirmed by hand. In the Selection Process, HANDOFF was cited as arXiv:2606.06491 (TempoVLA) and now cites arXiv:2606.06493, and RoboNaldo was cited as arXiv:2606.11091 (QUIET, a network-neuroscience paper) and now cites arXiv:2606.11092. A refe...

Saluca Agentic AI Research Team · 0 citations
#federated learning Open access Sep 2026

Correctness Debt at the Execution Boundary: How Type-System Gaps, Semantic Ambiguity, Harness Lifecycle Debt, Format Divergence, and Verification Theater Jointly Define a Structural Deficit in Deployed Software Infrastructure

This version (2026-09-26) corrects a citation error found by an automated check and confirmed by hand against the arXiv abstracts. Version 2 cited the identifier 2607.07314, an unrelated federated-learning paper posted after this synthesis was drafted, for the quantum software debugging paper that notes quantum bugs "o...

Saluca Agentic AI Research Team · 0 citations
#federated learning Open access Sep 2026

Failure Propagation and Self-Correction in Multi-Agent LLM Systems: How Deliberative Consensus, Credit Assignment, and Architectural Isolation Jointly Determine Systemic Reliability

This version corrects the use of a withdrawn preprint. Version 2 cited the CONCAT framework (arXiv:2605.29612) in Section 3.4 and reported its results of up to 2.02x higher efficiency and a 50.1% latency reduction. On 2026-09-22 its authors withdrew the manuscript, writing: "We identified a potential issue in the repea...

Saluca Agentic AI Research Team · 0 citations
#federated learning Open access Sep 2026

Failure Propagation and Self-Correction in Multi-Agent LLM Systems: How Deliberative Consensus, Credit Assignment, and Architectural Isolation Jointly Determine Systemic Reliability

This version corrects the use of a withdrawn preprint. Version 2 cited the CONCAT framework (arXiv:2605.29612) in Section 3.4 and reported its results of up to 2.02x higher efficiency and a 50.1% latency reduction. On 2026-09-22 its authors withdrew the manuscript, writing: "We identified a potential issue in the repea...

Saluca Agentic AI Research Team · 0 citations
#graph neural networks Open access Sep 2026

Reaction Networks, Autocatalytic Sets, and Regulatory Architectures: How Stoichiometric Unification, Sampling Bias, Spatial Context, and Controllability Constraints Jointly Shape a Candidate Framework for Biological Network Design Principles

This version corrects one citation error found by an automated check and confirmed by hand: a paper on self-regulatory communication in evolved neural agents, listed among those considered and not included, was cited under the identifier 2602.02840, which belongs to an unrelated paper; the correct identifier is arXiv:2...

Saluca Agentic AI Research Team · 0 citations
#graph neural networks Open access Sep 2026

Topology, Autocatalysis, and Epigenetic Control: How Network Architecture Shapes Biological State Transitions Across Scales

Version 3 (2026-09-26) corrects errors found by an independent audit of version 2 and by re-checking every cited arXiv abstract. It removes two overstatements from the abstract (that autocatalytic completeness defines a lower bound on network complexity, and that topological data analysis and GNN attribution independen...

Saluca Agentic AI Research Team · 0 citations
#graph neural networks Open access Sep 2026

Reaction Networks, Autocatalytic Sets, and Regulatory Architectures: How Stoichiometric Unification, Sampling Bias, Spatial Context, and Controllability Constraints Jointly Shape a Candidate Framework for Biological Network Design Principles

This version corrects one citation error found by an automated check and confirmed by hand: a paper on self-regulatory communication in evolved neural agents, listed among those considered and not included, was cited under the identifier 2602.02840, which belongs to an unrelated paper; the correct identifier is arXiv:2...

Saluca Agentic AI Research Team · 0 citations
#graph neural networks Open access Sep 2026

Topology, Autocatalysis, and Epigenetic Control: How Network Architecture Shapes Biological State Transitions Across Scales

Version 3 (2026-09-26) corrects errors found by an independent audit of version 2 and by re-checking every cited arXiv abstract. It removes two overstatements from the abstract (that autocatalytic completeness defines a lower bound on network complexity, and that topological data analysis and GNN attribution independen...

Saluca Agentic AI Research Team · 0 citations
#reinforcement learning Open access Sep 2026

Structured Prediction Meets Neural Geometry: How Compositionality, Representational Manifolds, Criticality, and Hierarchical Coding Jointly Constrain What Neural Circuits Compute

This version (2026-09-26) corrects a citation error found by an automated check and confirmed by hand against the arXiv abstracts. Version 2 cited the identifier 2606.04428, an unrelated astrophysics paper on fast-spinning black holes, for the theoretical framework in which chaotic recurrent dynamics produce local roug...

Saluca Agentic AI Research Team · 0 citations
#reinforcement learning Open access Sep 2026

Coordination Under Pressure: How Topology Coupling, Fairness Constraints, Censored Feedback, Deliberation Failure, and Communication Efficiency Jointly Define a Candidate Design Framework for Scalable Multi-Agent Coordination

This version corrects a wrong arXiv identifier and removes the results of a withdrawn preprint. Version 2 cited the CONCAT framework as arXiv:2605.29511, which is a different paper (DynaGraph); CONCAT is arXiv:2605.29612, and all three citations are corrected. CONCAT was then withdrawn by its authors on 2026-09-22, who...

Saluca Agentic AI Research Team · 0 citations
#reinforcement learning Open access Sep 2026

Structured Prediction Meets Neural Geometry: How Compositionality, Representational Manifolds, Criticality, and Hierarchical Coding Jointly Constrain What Neural Circuits Compute

This version (2026-09-26) corrects a citation error found by an automated check and confirmed by hand against the arXiv abstracts. Version 2 cited the identifier 2606.04428, an unrelated astrophysics paper on fast-spinning black holes, for the theoretical framework in which chaotic recurrent dynamics produce local roug...

Saluca Agentic AI Research Team · 0 citations

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