# RCHM × Hodge Conjecture — Research Round 9
## Envelope-Relative Factorization Incidence as a Carrier-Free Purity Splitter

**Status:** Internal research note + reproducible symbolic experiment  
**Version:** Round 9 / v0.9  
**Date:** 2026-09-17  
**Methodological base:** RCHM; Typed Relation & Constraint Algebra; X-Layer Mathematical Completeness; Graph-Native Mathematics  
**Previous rounds:** RCHM × Hodge Conjecture — Rounds 1–8  
**Canonical source:** UTF-8 Markdown

---

# 0. Round 9 Objective

Round 8 produced an explicit rational-quartic negative control.

For the primitive Hodge class $\alpha(C)$ of a smooth rational quartic $C$ in a smooth quartic surface $S$, the literature gives:

$$
I_{\alpha(C),2}=I_{C,2},
$$

and:

$$
\dim I_{\alpha(C),3}=16.
$$

The explicit geometry constructed in Round 8 gave:

$$
\dim G_{\alpha(C),3}=14,
$$

hence:

$$
\operatorname{PD}_3(\alpha(C))=2.
$$

The unresolved question was:

> Can one detect the geometric part of the cubic signature without already knowing the carrier $C$?

Round 9 gives the first positive partial answer.

The method is:

$$
\boxed{
\text{safe envelope}
\to
\text{multigraded factor incidence}
\to
\text{candidate carrier factors}
\to
\text{geometric signature sector}.
}
$$

The key idea is that a geometric carrier inside a known envelope does not contribute arbitrary equations. Its equations generate structured multiplication images in the envelope coordinate ring.

---

# 1. Safe Envelope from Level 2

For the rational quartic:

$$
I_{\alpha(C),2}
=
\langle q\rangle,
$$

where:

$$
q=xw-yz.
$$

Thus the level-$2$ signature reconstructs the unique smooth quadric envelope:

$$
\boxed{
Q=V(q).
}
$$

This step is carrier-safe but not carrier-identifying.

The carrier satisfies:

$$
C\subset Q,
$$

but:

$$
C\neq Q.
$$

The strategy of Round 9 is to work **inside $Q$** rather than continue treating all ambient cubic equations equally.

---

# 2. Cox Coordinates of the Envelope

Use the Segre parametrization:

$$
x=ac,
\qquad
y=ad,
\qquad
z=bc,
\qquad
w=bd.
$$

Then:

$$
Q\simeq\mathbb P^1\times\mathbb P^1.
$$

The Cox ring is:

$$
\mathbb C[a,b,c,d]
$$

with bidegrees:

$$
\deg(a)=\deg(b)=(1,0),
$$

$$
\deg(c)=\deg(d)=(0,1).
$$

An ambient cubic restricts to:

$$
H^0(Q,\mathcal O_Q(3,3)).
$$

Its dimension is:

$$
\boxed{
\dim H^0(Q,\mathcal O_Q(3,3))=16.
}
$$

Write:

$$
W_{3,3}
=
H^0(Q,\mathcal O_Q(3,3)).
$$

---

# 3. The Two Actual Carrier Factors

The rational quartic $C$ is defined on $Q$ by:

$$
\boxed{
F_C
=
a^3d-b^3c.
}
$$

Thus:

$$
F_C
\in
H^0(Q,\mathcal O_Q(3,1)).
$$

The residual quartic $D_0$ from:

$$
Q\cap S=C\cup D_0
$$

is defined by:

$$
\boxed{
F_D
=
a(c^3+cd^2-d^3)
+
b(-c^3-c^2d-2cd^2+d^3).
}
$$

Thus:

$$
F_D
\in
H^0(Q,\mathcal O_Q(1,3)).
$$

Round 9 will recover these factors from multiplication incidence rather than assuming them as input.

---

# 4. Factorization Incidence Operator

Let:

$$
A\subseteq W_{3,3}
$$

be a signature subspace.

For a candidate bidegree:

$$
(u,v),
$$

define:

$$
H_{u,v}
=
H^0(Q,\mathcal O_Q(u,v)).
$$

Let the complementary degree be:

$$
(3-u,3-v).
$$

Define the operator:

$$
\boxed{
\Theta^A_{u,v}:
H_{u,v}
\to
\operatorname{Hom}
\left(
H_{3-u,3-v},
W_{3,3}/A
\right)
}
$$

by:

$$
\boxed{
\Theta^A_{u,v}(F)(G)
=
FG\bmod A.
}
$$

Then:

$$
F\in\ker\Theta^A_{u,v}
$$

if and only if:

$$
\boxed{
F\cdot H_{3-u,3-v}
\subseteq
A.
}
$$

This is the fundamental carrier-factor test.

It asks:

> Does the signature subspace contain the entire multiplication image generated by the candidate factor $F$?

No carrier is assumed in the definition.

---

# 5. Factorization-Incidence Variety

Define:

$$
\boxed{
\mathfrak P_{u,v}(A)
=
\mathbb P
\left(
\ker\Theta^A_{u,v}
\right).
}
$$

A point:

$$
[F]\in\mathfrak P_{u,v}(A)
$$

is a candidate carrier factor of bidegree $(u,v)$.

The candidate is only a hypothesis.

It must still pass:

- geometric realizability;
- containment;
- field-of-definition;
- class verification;
- higher-order Hodge checks.

But the search is now finite-dimensional and linear-algebraic.

---

# 6. Why the Operator Is Computationally Cheap

For fixed $A$, choose a basis of the quotient:

$$
W_{3,3}/A.
$$

Then multiplication:

$$
F\cdot G
$$

is bilinear in $(F,G)$.

However, when $G$ ranges over a fixed basis of:

$$
H_{3-u,3-v},
$$

the condition:

$$
FG\in A
$$

is linear in the coefficients of $F$.

Therefore:

$$
\boxed{
\ker\Theta^A_{u,v}
}
$$

is obtained from a single matrix kernel.

This is substantially cheaper than a general Hilbert- or Chow-scheme search.

---

# 7. The Explicit Geometric Cubic Signature

Round 8 constructed:

$$
C,
\qquad
D_0,
\qquad
S.
$$

Define the geometrically explained ambient cubic space:

$$
G_3
=
I_{C,3}
+
I_{D_0,3}
+
J_{S,3}.
$$

Its restriction to $Q$ is:

$$
A_{\mathrm{geom}}
=
G_3|_Q
\subset
W_{3,3}.
$$

Exact symbolic computation gives:

$$
\boxed{
\dim A_{\mathrm{geom}}=10.
}
$$

This agrees with the Round 8 geometric dimension count.

---

# 8. Carrier Multiplication Sector for $C$

Because:

$$
F_C
\in
H_{3,1},
$$

multiply by:

$$
H_{0,2}.
$$

Since:

$$
\dim H_{0,2}=3,
$$

the multiplication image is:

$$
\boxed{
U_C
=
F_C\cdot H_{0,2}.
}
$$

Exact computation gives:

$$
\boxed{
\dim U_C=3.
}
$$

Moreover:

$$
U_C\subseteq A_{\mathrm{geom}}.
$$

---

# 9. Carrier Multiplication Sector for $D_0$

Similarly:

$$
F_D
\in
H_{1,3}.
$$

Multiply by:

$$
H_{2,0}.
$$

Since:

$$
\dim H_{2,0}=3,
$$

define:

$$
\boxed{
U_D
=
F_D\cdot H_{2,0}.
}
$$

Exact computation gives:

$$
\boxed{
\dim U_D=3.
}
$$

And:

$$
U_D\subseteq A_{\mathrm{geom}}.
$$

---

# 10. Jacobian Sector

Let:

$$
J_Q
=
J_{S,3}|_Q.
$$

Exact computation gives:

$$
\boxed{
\dim J_Q=4.
}
$$

Furthermore:

$$
\boxed{
\dim(U_C+U_D)=6,
}
$$

and:

$$
\boxed{
\dim(U_C+U_D+J_Q)=10.
}
$$

Therefore:

$$
\boxed{
A_{\mathrm{geom}}
=
U_C+U_D+J_Q.
}
$$

This gives an internal structural decomposition of the entire known geometric signature sector.

---

# 11. Factorization-Incidence Recovery on the Geometric Sector

Apply:

$$
\Theta^{A_{\mathrm{geom}}}_{u,v}
$$

for several candidate bidegrees.

Exact symbolic computation gives:

$$
\boxed{
\dim\ker\Theta^{A_{\mathrm{geom}}}_{3,1}=1.
}
$$

The unique projective kernel is:

$$
\boxed{
[F_C].
}
$$

Likewise:

$$
\boxed{
\dim\ker\Theta^{A_{\mathrm{geom}}}_{1,3}=1.
}
$$

and the unique projective kernel is:

$$
\boxed{
[F_D].
}
$$

Thus the splitter reconstructs both carrier factors.

---

# 12. Tested Negative Bidegrees

For the same $A_{\mathrm{geom}}$, exact computation gives:

$$
\ker\Theta_{2,2}=0,
$$

$$
\ker\Theta_{3,0}=0,
$$

$$
\ker\Theta_{0,3}=0,
$$

$$
\ker\Theta_{2,1}=0,
$$

$$
\ker\Theta_{1,2}=0.
$$

Therefore, among the tested low-complexity factor types, only the actual geometric carrier types survive.

This is a nontrivial inverse identification result.

---

# 13. Actual Hodge-Annihilator Restriction Has Dimension 12

The literature theorem gives:

$$
\dim I_{\alpha(C),3}=16.
$$

The restriction map:

$$
R_3
\to
H^0(Q,\mathcal O_Q(3,3))
$$

has kernel:

$$
qR_1.
$$

Since:

$$
q\in I_{\alpha(C),2},
$$

we have:

$$
qR_1
\subseteq
I_{\alpha(C),3}.
$$

And:

$$
\dim qR_1=4.
$$

Therefore the actual Hodge-annihilator signature restricted to $Q$ has dimension:

$$
\boxed{
\dim A_\alpha
=
16-4
=
12.
}
$$

Thus:

$$
A_{\mathrm{geom}}
\subseteq
A_\alpha
\subseteq
W_{3,3},
$$

with:

$$
\boxed{
\dim A_{\mathrm{geom}}=10,
\qquad
\dim A_\alpha=12.
}
$$

The two-dimensional purity defect remains visible after restriction to the safe envelope.

---

# 14. Monotonicity of Factor Candidates

If:

$$
A\subseteq A',
$$

then:

$$
\boxed{
\ker\Theta^A_{u,v}
\subseteq
\ker\Theta^{A'}_{u,v}.
}
$$

Therefore the true carrier factors remain candidates when the signature space is enlarged by non-geometric directions.

Since:

$$
A_{\mathrm{geom}}\subseteq A_\alpha,
$$

we necessarily have:

$$
[F_C]
\in
\mathfrak P_{3,1}(A_\alpha),
$$

and:

$$
[F_D]
\in
\mathfrak P_{1,3}(A_\alpha).
$$

So the extra impurity sector cannot erase the genuine factor candidates.

It can only create additional aliases.

---

# 15. The Remaining Risk: Spurious Factor Candidates

Because:

$$
\dim A_\alpha=12
$$

is larger than:

$$
\dim A_{\mathrm{geom}}=10,
$$

it is possible in principle that the extra two-dimensional non-geometric sector creates new factor candidates:

$$
\dim\ker\Theta^{A_\alpha}_{u,v}
>
\dim\ker\Theta^{A_{\mathrm{geom}}}_{u,v}.
$$

Without an explicit basis of:

$$
I_{\alpha(C),3},
$$

Round 9 does not claim this cannot happen for the actual Hodge annihilator.

Instead it tests generic robustness.

---

# 16. Generic Robustness Experiment

The quotient:

$$
W_{3,3}/A_{\mathrm{geom}}
$$

has dimension:

$$
16-10=6.
$$

A twelve-dimensional extension:

$$
A^*
\supset A_{\mathrm{geom}}
$$

corresponds to choosing a two-dimensional subspace of this six-dimensional quotient.

The parameter space is:

$$
\operatorname{Gr}(2,6).
$$

The accompanying exact computation chooses one explicit extension:

$$
\boxed{
A^*
=
A_{\mathrm{geom}}
+
\operatorname{span}
\{a^3c^3,\;a^3c^2d\}.
}
$$

It has:

$$
\dim A^*=12.
$$

For this extension:

$$
\boxed{
\dim\ker\Theta^{A^*}_{3,1}=1,
}
$$

$$
\boxed{
\dim\ker\Theta^{A^*}_{1,3}=1.
}
$$

The kernels are still exactly:

$$
[F_C],
\qquad
[F_D].
$$

The tested false bidegrees still have zero kernel.

---

# 17. Generic Uniqueness Consequence

Kernel dimension is upper semicontinuous in algebraic families of matrices.

Every twelve-dimensional extension containing $A_{\mathrm{geom}}$ must have:

$$
\dim\ker\Theta_{3,1}\ge1
$$

because $F_C$ always remains in the kernel.

The explicit extension $A^*$ realizes the minimum possible value:

$$
1.
$$

Therefore there is a nonempty Zariski-open subset of:

$$
\operatorname{Gr}(2,6)
$$

on which:

$$
\boxed{
\dim\ker\Theta_{3,1}=1.
}
$$

Likewise:

$$
\boxed{
\dim\ker\Theta_{1,3}=1
}
$$

on a nonempty Zariski-open subset.

Hence:

$$
\boxed{
\text{generic two-dimensional impurity does not destroy unique factor recovery}.
}
$$

This is a genuine robustness result.

It does **not** prove that the actual Hodge impurity sector is generic.

---

# 18. Envelope-Relative Purity Splitter

Round 9 therefore proposes the following algorithm.

Given:

$$
I_{\alpha,\le m_0}
$$

with a carrier-safe lowest level $m_0$:

### Step 1 — Recover envelope

Construct:

$$
E=V(I_{\alpha,\le m_0}).
$$

### Step 2 — Identify the envelope coordinate ring

If possible, use a natural multigrading or decomposition of:

$$
H^0(E,\mathcal L).
$$

### Step 3 — Restrict higher signature

Map:

$$
I_{\alpha,m}
\to
H^0(E,\mathcal L_m).
$$

### Step 4 — Search factor-incidence kernels

For candidate divisor types $\tau$ compute:

$$
\ker\Theta^A_\tau.
$$

### Step 5 — Generate factorable geometric sectors

For every candidate factor $F$ form:

$$
F\cdot H_{\mathrm{complement}}.
$$

### Step 6 — Add structural sectors

For hypersurfaces include:

$$
J_{S,m}|_E.
$$

### Step 7 — Define recovered geometric subspace

$$
\boxed{
\widehat G_{\alpha,m}
=
J_{S,m}|_E
+
\sum_F
F\cdot H_{\mathrm{complement}}.
}
$$

### Step 8 — Quarantine residual signature

$$
\boxed{
\widehat N_{\alpha,m}
=
A_\alpha/\widehat G_{\alpha,m}.
}
$$

This is the proposed purity splitter.

---

# 19. Exact Recovery on the Known Geometric Sector

For the explicit rational-quartic geometry:

$$
\widehat G_3
=
U_C+U_D+J_Q.
$$

Exact computation gives:

$$
\boxed{
\dim\widehat G_3=10.
}
$$

And:

$$
\boxed{
\widehat G_3=A_{\mathrm{geom}}.
}
$$

Thus, when fed the geometrically generated signature sector, the factorization splitter recovers the entire geometric subspace exactly.

---

# 20. Predicted Behavior on the Full Hodge Signature

The full envelope-restricted Hodge signature satisfies:

$$
\dim A_\alpha=12.
$$

If the actual two-dimensional impurity sector lies in the generic open set described above, then factorization incidence would still return only:

$$
F_C
$$

and:

$$
F_D
$$

at the tested bidegrees.

In that case:

$$
\dim\widehat G_{\alpha,3}=10,
$$

and:

$$
\boxed{
\dim\widehat N_{\alpha,3}=2,
}
$$

exactly matching the theoretical purity defect.

This is a testable prediction for a future period computation of the explicit Round 8 quartic.

It is not asserted as already verified.

---

# 21. Why This Is Carrier-Free in the Relevant Sense

The method does not receive:

$$
C
$$

or:

$$
D_0
$$

as input.

It receives:

1. the safe envelope $Q$;
2. a signature subspace $A$;
3. candidate factor bidegrees.

The factors are recovered as kernels of linear operators:

$$
\Theta^A_{u,v}.
$$

Thus the algorithm is carrier-free but **type-guided**.

The bidegree search itself can be enumerated or prioritized from:

- Hilbert-function constraints;
- degree budget;
- symmetry;
- adjunction;
- known envelope geometry.

---

# 22. Relation to Common-Factor Incidence Geometry

The construction is a multigraded version of a standard algebraic idea:

a collection of forms sharing a common factor is described by an incidence condition involving multiplication maps.

Round 9 adapts this principle from tuples of forms to an entire Hodge-signature subspace.

The object of interest is not merely:

$$
F\mid p
$$

for one polynomial $p$.

It is:

$$
\boxed{
F\cdot H_{\mathrm{complement}}
\subseteq A.
}
$$

This stronger condition is what makes the factor a candidate carrier divisor.

---

# 23. Why Saturation Alone Is Not Enough

The full annihilator ideal:

$$
I_\alpha
$$

is Artinian modulo the hypersurface/Jacobian structure and is generally much larger than a carrier ideal.

Therefore simply saturating:

$$
I_\alpha
$$

does not isolate the carrier.

The safe-envelope strategy first identifies a geometric ambient container at a degree where purity is known, then uses its internal factorization structure at the next degree.

Hence:

$$
\boxed{
\text{safe envelope}
+
\text{multigraded multiplication}
}
$$

is more informative than blind saturation.

---

# 24. Hodge-Annihilator as Artinian Gorenstein Data

The literature shows that:

$$
A_\alpha=R/I_\alpha
$$

is Artinian Gorenstein with a fixed socle degree in the surface case.

Therefore $I_\alpha$ is best viewed as an apolar/annihilator object encoding the Hodge functional, not as a direct carrier ideal.

Round 9's splitter respects this distinction.

It uses:

$$
I_\alpha
$$

as a **signature source** and extracts geometric multiplication patterns from it, rather than identifying:

$$
I_\alpha=I_C.
$$

---

# 25. New Principle: Multiplication-Coherence Test

A single annihilator equation may be non-geometric.

A candidate carrier factor must satisfy a much stronger coherence condition:

$$
\boxed{
F\cdot H_{\mathrm{complement}}
\subseteq A.
}
$$

Call this the:

$$
\boxed{
\textbf{Multiplication-Coherence Test}.
}
$$

This transforms carrier detection from equation-level matching to subspace-level algebraic coherence.

---

# 26. New Principle: Envelope-Relative Geometry

Carrier inference should be performed relative to the strongest safely reconstructed envelope.

$$
\boxed{
\text{ambient projective space}
\to
\text{safe envelope}
\to
\text{carrier}.
}
$$

In the rational quartic:

$$
\mathbb P^3
\to
Q
\to
C.
$$

The intermediate envelope provides the multigrading needed to distinguish carrier types.

---

# 27. New Principle: Impurity Cannot Remove Genuine Factors

If:

$$
A_{\mathrm{geom}}\subseteq A_\alpha,
$$

then:

$$
\boxed{
\mathfrak P_\tau(A_{\mathrm{geom}})
\subseteq
\mathfrak P_\tau(A_\alpha).
}
$$

Thus added non-geometric signature directions can create aliases, but cannot erase a genuine multiplication-coherent carrier factor.

This gives the splitter one-sided robustness.

---

# 28. New Principle: Generic Alias Resistance

For a fixed geometric signature sector, extra impurity directions form a family of extensions.

If one extension realizes the minimum possible kernel dimension, then upper semicontinuity implies a nonempty open family of impurity extensions with the same carrier-identification dimension.

Therefore carrier recovery can be:

$$
\boxed{
\text{generically robust to bounded non-geometric contamination}.
}
$$

The explicit rational-quartic experiment proves this generic statement for the two tested carrier types.

---

# 29. AMRAL Representation

Suggested factor-incidence object:

```text
factor_incidence:
  envelope_ref
  signature_space_ref
  target_multidegree
  complement_multidegree
  operator_matrix_ref
  kernel_dimension
  factor_candidates[]
  generic_robustness_status
```

Suggested carrier-factor node:

```text
carrier_factor_candidate:
  factor_polynomial
  multidegree
  multiplication_image_dimension
  multiplication_image_ref
  realizability_status
  class_verification_status
  alias_status
```

Suggested purity split:

```text
purity_split:
  signature_dimension
  jacobian_dimension
  factorable_geometric_dimension
  recovered_geometric_dimension
  residual_dimension
  residual_status
```

---

# 30. Reproducible Experiment

The accompanying Python verifier performs exact rational symbolic linear algebra.

It verifies:

1. Round 8 rational quartic and residual factors;
2. $\dim A_{\mathrm{geom}}=10$;
3. $\dim U_C=3$;
4. $\dim U_D=3$;
5. $\dim J_Q=4$;
6. $\dim(U_C+U_D+J_Q)=10$;
7. $\ker\Theta_{3,1}$ is one-dimensional and generated by $F_C$;
8. $\ker\Theta_{1,3}$ is one-dimensional and generated by $F_D$;
9. tested alternative bidegrees have zero kernel;
10. an explicit twelve-dimensional extension preserves the same unique factor kernels.

All computations are exact over $\mathbb Q$.

---

# 31. What Has Not Yet Been Computed

Round 9 does **not** possess an explicit basis for the true:

$$
I_{\alpha(C),3}
$$

of the Round 8 quartic.

Therefore it does not yet verify:

$$
\dim\ker\Theta^{A_\alpha}_{3,1}=1
$$

for the actual Hodge signature.

What is proved is:

1. the true factors must remain candidates;
2. the factorization splitter exactly recovers the full known geometric sector;
3. generic two-dimensional contamination preserves uniqueness;
4. the actual Hodge contamination can be tested once the period/annihilator basis is computed.

This evidence typing is essential.

---

# 32. Immediate Next Experiment

The obvious next computational target is now precise.

For the explicit Round 8 quartic:

### Step 1

Compute periods or otherwise compute a basis of:

$$
I_{\alpha(C),3}.
$$

### Step 2

Restrict to:

$$
Q.
$$

### Step 3

Obtain the actual:

$$
A_\alpha\subset W_{3,3}.
$$

### Step 4

Run:

$$
\Theta^{A_\alpha}_{3,1},
\qquad
\Theta^{A_\alpha}_{1,3}.
$$

### Step 5

Check whether:

$$
\ker\Theta_{3,1}
=
\langle F_C\rangle,
$$

and:

$$
\ker\Theta_{1,3}
=
\langle F_D\rangle.
$$

### Step 6

If yes, compute:

$$
\widehat N_{\alpha,3}
=
A_\alpha/
(U_C+U_D+J_Q).
$$

The prediction is:

$$
\boxed{
\dim\widehat N_{\alpha,3}=2.
}
$$

This would be the first direct intrinsic split of a known non-perfect Hodge annihilator.

---

# 33. Round 9 Conclusion

Round 9 produces the first operational candidate for the **purity splitter** requested at the end of Round 8.

The method is based on:

$$
\boxed{
\Theta^A_{u,v}(F)(G)=FG\bmod A.
}
$$

A carrier factor is detected not because one equation resembles a known carrier equation, but because its entire multiplication image lies inside the signature subspace.

For the explicit rational-quartic geometry:

$$
\boxed{
\ker\Theta_{3,1}
=
\langle F_C\rangle,
}
$$

and:

$$
\boxed{
\ker\Theta_{1,3}
=
\langle F_D\rangle.
}
$$

The associated multiplication images contribute:

$$
3+3
$$

dimensions.

Together with the four-dimensional Jacobian sector:

$$
\boxed{
3+3+4=10,
}
$$

which exactly reconstructs the known geometric cubic signature space.

The actual Hodge signature restricted to the quadric has dimension:

$$
12.
$$

Thus the expected unresolved sector remains:

$$
\boxed{
12-10=2.
}
$$

The new methodological architecture is:

$$
\boxed{
\text{safe envelope}
\to
\text{factorization incidence}
\to
\text{multiplication-coherent carrier sectors}
\to
\text{Jacobian sector}
\to
\text{residual impurity}.
}
$$

This is the main closure of Round 9.

---

# References

1. Maria Gioia Cifani, Gian Pietro Pirola, Enrico Schlesinger, **Reconstructing curves from their Hodge classes**, Rendiconti del Circolo Matematico di Palermo Series 2, 72 (2023), 945--958.  
   arXiv: https://arxiv.org/abs/2104.05576  
   DOI: https://doi.org/10.1007/s12215-021-00704-9

2. Hossein Movasati, Emre Can Sertöz, **On reconstructing subvarieties from their periods**, Rendiconti del Circolo Matematico di Palermo Series 2, 70 (2021), 1441--1457.  
   arXiv: https://arxiv.org/abs/1908.03221  
   DOI: https://doi.org/10.1007/s12215-020-00562-x

3. Standard incidence principle for common factors: common-factor loci can be encoded using multiplication maps and projective incidence varieties. Round 9 uses a multigraded subspace version of this principle.
