The paper establishes the failure class and shows that several mechanisms are practical in a candidate Schema-SIP Relational Conformance profile (SIP-RC), which models a release as a graph.
Abstract
Agent systems validate inputs, tool calls, and generated objects. The final package often escapes the same scrutiny. In one DRSS release, the ledger supported 60 points and a failed certificate; the report announced a 100-point Gold Path. Every local gate was green. The package contradicted itself. We study that failure alongside Schema Docs, where similar faults became product contracts, and Brand Shuttle GEO, where evidence is turned into repair work. The result is a candidate Schema-SIP Relational Conformance profile (SIP-RC). It models a release as a graph: claims point to evidence, decisions carry bounded authority, derived artifacts retain their execution conditions and lineage, and published bytes must match the package that was checked. Hard failures cannot be averaged away, and a validator recomputes critical decisions on a separate path. The paper establishes the failure class and shows that several mechanisms are practical. Whether the full profile performs better than existing checks remains an open experiment.
A pipeline promoting an AI system publishes records claiming the thing evaluated is the thing deployed and that the evidence licensed the transition, and measures whether those records can express that claim and whether it holds where declared.
A contract-bounded runtime architecture, a source-preserving data substrate, and a falsifiable measurement protocol are contributed, which proposes a cluster-period randomized crossover experiment with a four-state verdict: supported, falsified, conditional-engineering, or inconclusive.
Ya-Xiao Liu, Peng Liu, Yi-Wen Liu et al.· 0 citations
Metis, a multi-provider runtime that converts provider streams into typed events before admitted calls reach external effects is presented, a multi-provider runtime that converts provider streams into typed events before admitted calls reach external effects.
The case suggests that explicit failure records, fixtures, port-owned proofs, and validating imports can make agent-assisted systems more auditable and controlled ablations and external replications are needed to test whether such infrastructure causally improves development outcomes.
What deterministic software can learn from a completed MCP failure result alone is studied; request arguments, schemas, discovery history, authen- tication state, transport metadata, host policy, and host policy, and host policy, and ap- plication state are outside that boundary.
The contribution is a bounded application of established optimization to selecting assurance context for a software change; discovering the obligations and downstream agent benefit remain open.
Anjan Goswami· 0 citations
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