ExampleConstruction: AI-generatedVerification: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-08-30

How statement and proof provenance work

The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.

Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.

These labels describe origin, not correctness: citations and verification chips remain separate evidence.

The tangent space of Euclidean space

Example

At a point $a \in R^{n}$ , the tangent space $T_{a} R^{n}$ identifies canonically with $R^{n}$ : a vector $u = (u^{1}, \dots, u^{n})$ corresponds both to the derivation $[f] \mapsto \sum_{i} u^{i} \partial_{i} f (a)$ and to the curve velocity of $t \mapsto a + t u$ .

Facts & Assumptions

Given: A point $a \in R^{n}$ and a vector $u \in R^{n}$ .

[L1]

Coordinate derivations form a basis of the tangent space (Coordinate derivations form a basis of the tangent space).

[L2]

Curve classes are canonically identified with tangent derivations (Curve contact classes are canonically isomorphic to derivation tangent vectors).

Verification

technique · direct

1.1

In the standard chart on $R^{n}$ , the tangent basis is the standard coordinate basis by [L1].

L1given

2.1

The vector $u$ defines both the derivation $\sum_{i} u^{i} \partial_{i} ∣_{a}$ and the velocity of the straight line $t \mapsto a + t u$ , and [L2] identifies these two descriptions.

L1L2step 1.1

3.1

Thus $T_{a} R^{n}$ is canonically the usual vector space $R^{n}$ .

step 2.1∎

Depends on

Used by

Nothing in the library uses this result yet.

Dependency tree · two levels

9 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.

Sources

John M. Lee, Introduction to Smooth Manifolds (standard reference, not scraped)
Will J. Merry, Differential Geometry (standard reference, not scraped)
Nigel Hitchin, Differentiable Manifolds (standard reference, not scraped)