Compression Is Not Evidence — Evidence

Claim

AI systems often turn compressed representations into confident claims, causing semantic loss, source erasure, and false evidentiary authority.

Bluehand treats compressed semantic objects as transformations, not evidence.
Thesis: A Bluehand position paper asserting that summaries, embeddings, clusters, and retrieval projections are semantic transformations, not evidence. Valid use requires lineage, uncertainty, and declared authority boundaries.
Operational thesis: Compression is a transformation, not proof. A summary, embedding, cluster, or retrieved passage may be useful, but usefulness is not evidentiary authority. Bluehand treats semantic compression as an ethical and technical act that must expose preservation, loss, uncertainty, and lineage.
Why it matters: AI systems increasingly use compressed context to make decisions. Without declared boundaries, compressed representations can silently overwrite source complexity and convert convenience into false confidence.
Governance boundary: This artifact is intentionally canonical as a stance, but that does not make any derived summary or retrieval result automatically authoritative. It strengthens the rule: compressed objects need lineage before they can support claims.
The exact enforcement mechanism depends on implementation context.

Do not infer that every summary is invalid; the claim is that summaries require scoped authority.
This is a public Research Object. Implementation evidence, strict lineage, and runtime proof belong in project/repo-specific surfaces unless explicitly linked.