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Add example scored contribution loops + data card
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metadata
license: mit
language:
  - en
pretty_name: Extropy Contributions, Example Scored Loops
tags:
  - mechanism-design
  - governance
  - decentralized
  - entropy
  - complex-systems
size_categories:
  - n<1K
configs:
  - config_name: default
    data_files: contributions.jsonl

Extropy Contributions, example scored loops

A small, hand-built example dataset of contribution loops scored by the canonical Extropy Engine XP formula. It exists to make the protocol concrete: each row is a real-shaped contribution with the exact inputs the formula consumes and the XP it mints (or why it was rejected).

The unit of value is entropy reduction. This is not a metaphor.

How XP is computed

Every row is scored by the source-of-record formula in packages/xp-formula:

XP = R x F x dS x (w . E) x log(1 / Ts)

Preconditions fail closed: dS must be > 0, Ts must be in (0, 1], and w and E must be equal length. Row c-0009 shows a rejected mint (dS = 0). Reputation never enters the formula.

Fields

Field Meaning
id Loop identifier
domain One of eight canonical entropy domains: cognitive, code, social, economic, thermodynamic, informational, governance, temporal
description What the contribution did
R Rarity multiplier, action-class scarcity (not actor reputation)
F Frequency-of-decay penalty, 1.0 is first occurrence
deltaS Verified entropy reduction, must be > 0 to mint
w_cognitive, w_physical, w_temporal Effort weight vector
E_cognitive, E_physical, E_temporal Effort energy vector
elapsed_hours, Ts Recency: Ts = exp(-lambda x elapsed seconds), lambda = 0.001
causal_closure_speed Domain c_L, used by the irreducible form XP = dS / c_L^2
xp Minted XP
minted Whether preconditions passed
reject_reason Why a loop was rejected, if any
formula_version v3.1.2 (canonical, post Rarity/Frequency fix)

Scope and honesty

This is an illustrative example set, not production telemetry. Values are chosen to span the eight domains and to show both successful and rejected mints. It is meant for teaching the formula and for stress-testing objections to it. If a row's scoring looks wrong to you, that is the point: come break it.

Links

License

MIT, Copyright (c) 2026 Randall Gossett.