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ZENODO
Preprint . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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The Hierarchical Identity Architecture: Content-Addressing as a Computation Primitive for Software Relationship Intelligence

Authors: Blackwell, Dayna;

The Hierarchical Identity Architecture: Content-Addressing as a Computation Primitive for Software Relationship Intelligence

Abstract

Content-addressing is typically an integrity mechanism. This paper shows it can also serve as the query execution substrate for software relationship intelligence. By organizing a Merkle tree around semantic boundaries (packages and relationship types), the identity structure itself becomes the query optimization layer: diffs are O(packages) instead of O(edges), cache keys are O(1) subgraph root lookups, and invalidation is scoped to changed packages. Validated on five codebases (kubernetes 3.5M LOC, VS Code 1M LOC, Django, Cargo, Flask) with competitive evaluation against two commercial knowledge graph tools. Results: 2.75x more precise than GitNexus (p=0.0003), 193x faster indexing on enterprise repos, 11.5x better than grep baseline (d=0.92 large effect). Implementation: github.com/blackwell-systems/knowing

Keywords

content-addressed, cryptography, agentic, content-addressed-storage, Computer Science - Artificial Intelligence, content-addressable storage, CAS, model-context-protocol, software relationship intelligence, artificial intelligence, git, context-compaction, compliance, auditing, code intelligence, Computer Science - Software Engineering, graph-based retrieval, MCP, cryptographic-proof, Computer Science - Data Structures and Algorithms

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average