This paper investigates the survival of licenses in the supply chain of AI artifacts, finding that a large percentage of artifacts lack declared licenses and that obligation-bearing licenses have low…

The paper introduces CEON, a Circular Economy Ontology Network, designed to improve semantic interoperability and knowledge representation across diverse industry sectors throughout the product life c…

This paper analyzes the Node Package Manager (npm) dependency network, demonstrates its vulnerability to targeted attacks, and proposes a defense strategy consisting of Centrality-Based Node-Hardening…

This report summarizes the key takeaways from the S3C2 Summit 2025-09, a gathering of industry practitioners focused on identifying best practices and challenges in securing modern software supply cha…

The paper argues that current Software Bills of Materials (SBOMs) are fundamentally flawed due to a lack of shared understanding regarding what constitutes a 'component,' demonstrating that existing t…

This paper proposes an approximation algorithm for the submodular joint replenishment problem with decomposable submodular ordering cost functions, achieving an O(k)-approximation.

This paper presents TypoNet, a system that constructs and validates a symbolic model of a production-scale WAN from network artifacts using large language models for translation and a solver for relia…

The paper proposes a scalable snippet-driven method using web search snippets to construct a comprehensive supply chain knowledge graph (SCKG) for China, significantly expanding visibility beyond trad…

This paper proposes an organizational memory for LLM-based agents to access and share enterprise-specific procedural knowledge for reliable business process execution.

This paper presents three new algorithms for maximizing revenue in the Stackelberg Vertex Cover problem on certain kinds of trees.

This paper introduces Stigmergic Graph Memory (SGM), a method to improve warehouse throughput in many-to-many Multi-Agent Pickup and Delivery (MAPD) by using a bounded, decaying memory layer to record…

This paper proposes an automated method to generate complete PDDL planning problems directly from Asset Administration Shell (AAS) capability models, eliminating the need for specialized planning expe…

This paper introduces ECO/CPO-DAG, a domain-specific accountability protocol for adversarial supply chains that uses contradiction detection as a supplemental validation layer.

The paper introduces 'software supply chain smells,' structural indicators of security risks in third-party dependencies, and presents Dirty-Waters, a tool that detects these smells, finding that diff…

The paper reframes manufacturing ransomware recovery from a simple backup restoration task to a complex critical-infrastructure continuity problem, proposing Minimum Viable Factory Recovery (MVF Recov…

The paper advocates for the establishment of Model Science, a systematic discipline that moves beyond simple benchmarking to deeply analyze AI models' internal workings and failure modes.

The paper proposes a zero-trust supply-chain assurance rubric for O-RAN RIC applications to secure the entire lifecycle, from development to runtime.

This paper proposes the trans-domain digital twin approach to connect heterogeneous domain twins through aligned shared state, explicit coupling, heterogeneous temporal coordination, joint decision-ma…

mcp-proto-okn is a Python server that facilitates natural language access to complex scientific knowledge graphs, simplifying cross-domain knowledge analysis for biomedical research.

The paper evaluates dynamic coordination strategy selection for enterprise multi-agent systems, finding that a calibrated default routing approach is effective, even if a deterministic winner-selectio…