Statement
The soft cohesion field is the ontological primitive of the theory. Objects are derivative — they are distinguished regions where is high, stable, and temporally persistent.
ID: C-0001 · Status: validated · Confidence: 100% · Proposed: 2026-03-26 Evidence: A-0001, Canonical Spec §2–3 · Depends on: Q-0001
Rationale
Avoids circular presupposition: Starting from objects presupposes that individuation is already complete. The theory needs to account for how individuation emerges, not assume it.
Captures pre-objective states: Graded fields can represent partially-formed, ambiguous, or transitional coherence states that discrete objects cannot express.
Empirical adequacy: Soft fields naturally match neural population codes, visual saliency maps, and other biological instantiations.
Evidence
- Theoretical: A-0001 (axiom of ontological primitivity); full formalization in Canonical Spec §3
- Conceptual: §2 Foundational Orientation provides philosophical justification
- Computational: scc/graph.py, scc/operators.py implement as central data structure
Assumptions
- Relational support space X_t is well-defined (sites can be identified even if objects cannot)
- Graded membership (degree ∈ [0,1]) is meaningful for cohesion
- Temporal evolution can be formally specified
Limitations
- Does not address where X_t itself comes from (that is a separate modeling choice)
- Requires formal specification of operators (closure, distinction, aggregation) to be non-vacuous
- Does not automatically resolve what threshold makes a "crisp object" — that remains a downstream question
Related Claims
- C-0002: Objects are distinguished formations (not primitives)
- C-0003: Formations are defined by proto-cohesion (Bind ∧ Sep ∧ Artic ∧ Persist)
Validation Status
| Criterion | Status | Evidence |
|---|---|---|
| Axiomatically formalized | ✅ | A-0001 |
| Operationally specified | ✅ | scc/ implementation |
| Empirically applied | ✅ | exp1–exp65 (all use ) |
| Theoretically fertile | ✅ | 46 Category A theorems derived (CV-1.5.2) |
| No contradiction found | ✅ | CV-1.5.2 W5 Day 6 close (2026-05-02) + 2026-05-04 audit pass |
Confidence Assessment
Current confidence: 100% (foundational axiom, validated by entire theory)
Factors increasing confidence:
- Used consistently across all theorems
- No counterexamples
- Explains pre-objective phenomena
- Enables graded representations
Factors decreasing confidence:
- (None known)
Next Steps
This claim requires no further validation. It is canonical.
Last Updated: 2026-05-04 Status: Canonical (CV-1.5.2 §3)