CROSS-SUBSTRATE-F0

partially supported

Cross-Substrate F₀: Trophic Coherence on VP Networks vs Chemistry

2026-03-29 L3 level paper3 0

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premortem

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real

metrics

analyze

review

krit

done

In plain language

Researchers tested if a measure of how connected different systems are, called F₀, would rank them in the same order whether they were looking at networks of interacting agents or chemical reactions. They found that the order of connectedness was different for the agent networks than what was predicted, and while the general measure of connectedness was similar between the two types of systems, specific predictions did not transfer. This suggests that how systems are organized matters for their overall connectedness, and this organization behaves differently in different contexts.

What we found

F0 ordering REFUTED: star(1.019)<cycle(1.084)<chain(1.175). Metric transfers (agent≈1.0 vs chemistry 0.6-0.7), specific predictions substrate-specific. Saturation at 48 rounds.

Predictions we made before running

1/3 confirmed · 2 refuted

▶ Technical details

Research hypothesis

Cross-substrate transfer test: does F₀ (trophic incoherence parameter) from trophic coherence theory produce the SAME ordering across substrates?

Agent-level (VP interaction networks from topology experiments): Predicted: F₀(star) < F₀(chain) < F₀(cycle) star = most constrained (hub concentrates flow) → most coherent chain = linear directed → medium coherence cycle = symmetric → least coherent

Chemistry-level (BPM from paper2): K-BPM F₀ = 0.617 C-BPM F₀ = 0.730

If ordering matches AND agent F₀ in same range as chemistry F₀, C1-C5 framework predictions TRANSFER across substrates.

This is the FIRST cross-level comparison. Zero-cost (reuses existing data). Tests paper3 central claim.

Experimental setup

Type: meta_analysis