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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

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Mukherjee Arghya

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3 papers indexed here

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Open access Oct 2026

Agent Foundry: A Boundary-Preserving Architecture for Governed Agentic Platforms

Agent frameworks expose tools, delegation, memory and human approval, yet the controls attached to a request (identity, tenant, scopes, budgets, deadlines, rate limits, fail behavior) are routinely lost at execution boundaries: delegation, threads, streaming, resume, caching, retrieval and adapter exports. We present A...

Mukherjee Arghya · 0 citations
#small language model Open access Oct 2026

Commerce core: Low-Budget Multitask Adaptation for Structured E-Commerce Queries

Small language models offer a practical way to convert shopping queries into ex-ecutable constraints, but partial extraction accuracy can obscure whether the com-plete request is represented correctly. We study CommerceCore, a Qwen3-1.7B model adapted with QLoRA on 2,130 examples spanning entity segmentation, query con...

Mukherjee Arghya · 0 citations
#small language model Open access Oct 2026

Commerce Core Expansion: Auditing Small-Model Adaptation for Product Matching and Attribute Extraction

Small language models could support several product-understanding operations within a retailer’s infrastructure, but evidence of task accuracy is easily con-founded with evidence of generalization or serving efficiency. We study QLoRA adaptation of Qwen3-1.7B for query–product relevance, listing identity, functional re...

Mukherjee Arghya · 0 citations

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