Bumpus Narratives

Bumpus Narratives Skill

Trit: 0 (ERGODIC) - Mediates between verification (-1) and generation (+1)

Sheaves on time categories for compositional reasoning about temporal data.

Source Papers

• Bumpus, B.M. et al. "Unified Framework for Time-Varying Data" (arXiv:2402.00206)
• Bumpus, B.M. "Compositional Algorithms on Compositional Data" (arXiv:2302.05575)
• Bumpus, B.M. "Structured Decompositions" (arXiv:2207.06091)
• Bumpus, B.M. "Spined Categories" (arXiv:2104.01841)
• Bumpus, B.M. "Cohomological Obstructions" (arXiv:2408.15184)

Core Concepts

1. Narratives as Sheaves

Temporal data = sheaf F: I_N → D where:

• I_N = time category (intervals [a,b] with inclusions)
• D = data category with pullbacks
• Sheaf condition: F([a,b]) = F([a,p]) ×_{F([p,p])} F([p,b])

F₁³ := {(x,y) ∈ F₁² × F₂³ | f₁,₂²(x) = f₂,₃²(y)}

2. Adhesion Filter (FPT Algorithm)

For tree decompositions of width w:

• Complexity: O(f(w) · n) instead of O(2^n)
• Runs on bag boundaries via pullback checking

function adhesion_filter(sheaf::Sheaf, decomp::TreeDecomp)
    for (bag1, bag2) in edges(decomp)
        adhesion = bag1 ∩ bag2
        if !is_pullback(sheaf, bag1, bag2, adhesion)
            return false
        end
    end
    true
end

3. Cohomological Obstructions

H⁰ detects local-to-global failure:

• H⁰(F) ≠ 0 → obstruction to gluing
• Čech complex on cover of intervals

Integration with Gay.jl

Color-Coded Narratives

Each interval [i,j] gets deterministic color:

color([i,j]) = gay_color(BUMPUS_SEED ⊻ hash(i,j))

GF(3) Conservation

Narrative operations preserve triadic balance:

• Restriction (-1): F([a,b]) → F([a,a])
• Extension (+1): F([a,a]) → F([a,b])
• Pullback (0): F₁³ := fibered product

Diagram Catalog

20 extracted diagrams from Bumpus papers:

• 17 commutative diagrams
• 2 functor diagrams
• 1 graph diagram

Location: papers/diagrams/images/bumpus-*.jpg

Triadic Composition

structured-decomp (-1) ⊗ bumpus-narratives (0) ⊗ world-hopping (+1) = 0 ✓
sheaf-cohomology (-1) ⊗ bumpus-narratives (0) ⊗ triad-interleave (+1) = 0 ✓
persistent-homology (-1) ⊗ bumpus-narratives (0) ⊗ gay-mcp (+1) = 0 ✓

Example: Ice Cream Companies

From the Venice ice cream example (Diagram 1):

Time 1: {a₁, a₂, b, c}  →  Time 2: {a*, b, c}  →  Time 3: {a*, b}

The sheaf tracks:

• Company mergers (a₁, a₂ → a*)
• Company disappearance (c)
• Supplier relationships (graph morphisms)

API

using BumpusNarratives

# Create narrative
n = Narrative(TimeCategory(1:10), FinSet)

# Add snapshots
add_snapshot!(n, 1, Set([:a, :b, :c]))
add_snapshot!(n, 2, Set([:a, :b]))

# Check sheaf condition
is_sheaf(n)  # true if pullbacks exist

# Compute H⁰ obstruction
obstruction = cech_H0(n)

References

1. Bumpus et al. - Time-varying data via sheaves on time categories
2. Ghrist - Elementary Applied Topology (Čech cohomology)
3. Fairbanks - AlgebraicJulia ecosystem for ACSets
4. Gay.jl - Deterministic color chains for diagram coloring

Scientific Skill Interleaving

This skill connects to the K-Dense-AI/claude-scientific-skills ecosystem:

Graph Theory

• networkx [○] via bicomodule
  • Universal graph hub

Bibliography References

• general: 734 citations in bib.duckdb

Cat# Integration

This skill maps to Cat# = Comod(P) as a bicomodule in the equipment structure:

Trit: 0 (ERGODIC)
Home: Prof
Poly Op: ⊗
Kan Role: Adj
Color: #26D826

GF(3) Naturality

The skill participates in triads satisfying:

(-1) + (0) + (+1) ≡ 0 (mod 3)

This ensures compositional coherence in the Cat# equipment structure.

Forward Reference

• unified-reafference (applies sheaf structure)