---
title: "world-induce — Mova code model"
description: "Mova code model of world/src/induce.rs: components with their labels, obernants and the model text."
url: "https://groupants.elamur.ai/free/en/mova/world/src/induce.rs.groupant/"
---
Elamur: [Mova](https://md.mova.elamur.ai/free/en/) · [Dictionary](https://md.dictionary.elamur.ai/free/en/) · [Research](https://md.research.elamur.ai/free/en/) · **Groupants**

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# world-induce

The groupant beside world/src/induce.rs in the Mova repository: what the code computes, what it never does, how to go back from its outputs, its invariants, cost and checks.

## Facts

- **kind:** groupant
- **status:** partial source bound model
- **source:** [`world/src/induce.rs`](https://github.com/ElamurAI/mova-free/blob/main/world/src/induce.rs)
- **source SHA-256:** `0297cbe15b922cb5…`
- **repository folder:** [`world/src/induce.rs.groupant`](https://github.com/ElamurAI/mova-free/tree/main/world/src/induce.rs.groupant)
- **repository commit:** `48f2e6f74146`

> **Implementation material.** A Mova code model describes this code at one source revision: partial models, finite checks and their stated scope. It is not a reviewed general exposition, and its labels are shown as written, never raised.

## Components

| component | label | where |
|---|---|---|
| **approximant** | partial | [approximant](#approximant) |
| **ast** | partial | `syntax.json` |
| **composition** | partial | [composition](#composition) |
| **cost** | partial | [cost](#cost) |
| **descriptant** | present | [descriptant](#descriptant) |
| **invariant** | partial | [invariant](#invariant) |
| **tests** | executed bounded checks | [tests](#tests) |

## Obernants

The typed relations around the forward model: the behaviour complement (what the code never does), the reverse reconstruction (every input compatible with an output) and specialised views.

| id | type | label | where |
|---|---|---|---|
| `behavior_complement` | behavior_complement | partial source derived model | [behavior_complement](#behavior-complement) |
| `reverse_reconstruction` | reverse_reconstruction | partial source derived model | [reverse_reconstruction](#reverse-reconstruction) |
| `world_induce_invariants` | world_induce_invariants | partial source derived model | [world_induce_invariants](#world-induce-invariants) |
| `world_induce_resource_cost` | world_induce_resource_cost | partial source derived model | [world_induce_resource_cost](#world-induce-resource-cost) |
| `world_induce_representation_join` | world_induce_representation_join | partial source derived model | [world_induce_representation_join](#world-induce-representation-join) |
| `world_induce_domain_partition` | world_induce_domain_partition | partial source derived model | [world_induce_domain_partition](#world-induce-domain-partition) |

## Parts

- [world-induce-subset-counts](https://md.groupants.elamur.ai/free/en/mova/world/src/induce.rs.groupant/subset-counts.groupant/)
- [world-induce-changes](https://md.groupants.elamur.ai/free/en/mova/world/src/induce.rs.groupant/changes.groupant/)

## Model text


### descriptant

#### world-induce

acode(f,v)=((f<<16)|v)+1; pack1..3 sorted codes at21bit offsets. Fix=number of head-correct/label-wrong words carrying subset and current/from,target/gold; Break=head-and-label-correct words carrying(from,subset). Sort (-Fix+Break,atom_count,Rule). apply changes labels using per-rule feature snapshot; run needs precision>=.85 and Fix>=min+Break. explore_all gd>0,gh>=0 reports p without significance filter; selfplay adoption needs p<.05.

##### Modeling epoch 2026-10-31

Prospective source/branch/cost hypotheses were saved externally before source edits. This partial source-derived model retains observed boundaries rather than claiming complete verification. Pure codes/counting/parsing/changes/threshold tests; feature extraction, persistent effects and live learning remain partial, no surrogate.

### approximant

#### Forward relation

acode(f,v)=((f<<16)|v)+1; pack1..3 sorted codes at21bit offsets. Fix=number of head-correct/label-wrong words carrying subset and current/from,target/gold; Break=head-and-label-correct words carrying(from,subset). Sort (-Fix+Break,atom_count,Rule). apply changes labels using per-rule feature snapshot; run needs precision>=.85 and Fix>=min+Break. explore_all gd>0,gh>=0 reports p without significance filter; selfplay adoption needs p<.05.

Domain: Synthetic aligned Sent/gold/Feats passed directly to real scoring; no annotator, corpus, journal, shipped-cache, training/adopt or GPU paths.

No executable percent surrogate: these categorical/effect observations lack a useful approximation metric. Future supported caps1/2/5/10% need a defined domain/metric and real reference evidence; no error or speed bound is claimed.

### invariant

Explicit total order removes FxMap iteration dependence. Empty LAS0, bootstrap1;1000 fixed-seed resamples, all positive deltas p0. parse_rules preserves valid atom order/duplicates. Add exact-dedups while holds_in checks broader coverage, not identical operation effect.

Cost component: [cost.md](https://md.groupants.elamur.ai/free/en/mova/world/src/induce.rs.groupant/#cost).

### cost

Subset work W*(A+C(A,2)+C(A,3)), candidate sort O(G log G), local per-worker counts/maps. Feature extraction scans sentence dependents roughlyO(L^2) plus delegated graph costs. u32 counts/indices and i64 sums require representability. No timing claim.

### composition

family transfers Change/scope then adds admission/guard rules. big matrix pseudo-labels exclude matrix feature predicates for new rules. GPU adapter only flattens head-and-label-correct words; equivalence requires valid widths/count bounds.

### models

### behavior_complement

Wrong-head words excluded from both counts. apply cannot alter heads/forms. Invalid atom fragments silently dropped; empty conjunction accepted. explore_changes can return p>=.05. Atom/parser feature domain not enforced at public parse_rules; malformed values can panic show/encoding.

### reverse_reconstruction

Valid packed subset uniquely decodes its1..3 atoms, but leaves omitted atoms unknown. Count vectors admit word/sentence permutations and arbitrary wrong-head additions. Changed label to admits prior from matches and prior to; inverse needs ordered rules/feature context. Change removal preimage preserves arbitrary removed multiplicity.

### world_induce_invariants

Explicit total order removes FxMap iteration dependence. Empty LAS0, bootstrap1;1000 fixed-seed resamples, all positive deltas p0. parse_rules preserves valid atom order/duplicates. Add exact-dedups while holds_in checks broader coverage, not identical operation effect.

### world_induce_resource_cost

Subset work W*(A+C(A,2)+C(A,3)), candidate sort O(G log G), local per-worker counts/maps. Feature extraction scans sentence dependents roughlyO(L^2) plus delegated graph costs. u32 counts/indices and i64 sums require representability. No timing claim.

### world_induce_representation_join

family transfers Change/scope then adds admission/guard rules. big matrix pseudo-labels exclude matrix feature predicates for new rules. GPU adapter only flattens head-and-label-correct words; equivalence requires valid widths/count bounds.

### world_induce_domain_partition

Synthetic aligned Sent/gold/Feats passed directly to real scoring; no annotator, corpus, journal, shipped-cache, training/adopt or GPU paths.

### tests

#### Finite actual-code evidence — 2026-10-31

Names: ["induce::wave29_worldlearn::counting_requires_correct_heads_and_orders_candidates", "induce::wave29_worldlearn::packed_subsets_and_empty_bootstrap", "induce::wave29_worldlearn::permissive_parse_and_set_valued_changes"]

Selected CPU command: CARGO_BUILD_JOBS=2 CARGO_TARGET_DIR=ISOLATED_TARGET cargo test --offline --locked -p world --lib --example retention_probe [--release] wave29_worldlearn -- --test-threads=1

15 selected cases passed twice debug and twice release with identical sorted names/outcomes, exits0. control-induce: compiled source mutation failed with exit101; source restored byte-for-byte and15positive tests passed. No live teacher, corpus, state activation, GPU, or full-school run. Temporary synthetic files use unique process-id paths and are removed after passing tests.

Pure codes/counting/parsing/changes/threshold tests; feature extraction, persistent effects and live learning remain partial, no surrogate.

Source SHA256: 0297cbe15b922cb5aeebd8632fbb9bcb3d0d8da3e6a6dd287b0978638c1fe2ee. Syntax generated independently twice and compared; lexical only, no semantic proof or CUDA compilation. Strict whole-crate Clippy was not repeated merely to reproduce existing dependency/source lints; Cargo warnings retained in receipts.