Canonical Definitions and Contracts for Intelligence in Motion

Runtime Standards are the public definitions, measurement contracts, evidence rules, and conformance requirements governing how runtime behavior is described, measured, reconstructed, interpreted, and preserved across this body of work.

The scientific study of behavior through time requires more than theories and instruments. It requires stable meanings.

A regime cannot mean one thing in a paper and another inside an instrument. A candidate boundary cannot become a confirmed transition because a dashboard needs a definitive label. A missing failure anchor cannot silently become zero. An instrument cannot claim access to hidden state when its evidence comes only from observable records.

Standards prevent this semantic and computational drift.

They preserve a common relationship among:

• scientific concepts;

• operational definitions;

• measurement methods;

• evidence objects;

• instrument findings;

• temporal claims;

• investigation workflows;

• and preserved artifacts.

Science defines the phenomena. Instrumentation makes them measurable. Standards ensure that the measurements continue to mean the same thing.

Why Runtime Standards Are Necessary

Runtime behavior is temporal, relational, and dependent on context. Its meaning develops across events rather than residing in a single output.

Without shared standards, two systems may use the same term while referring to different conditions. They may classify the same trajectory differently, calculate lead time from incompatible anchors, treat absent evidence as numerical zero, or generate conclusions that exceed the authority of the source record.

The resulting outputs may appear precise while remaining impossible to compare or reproduce.

Runtime Standards establish common rules for questions such as:

• What counts as an observable?

• What distinguishes a source fact from a computed signal?

• What makes a measurement legitimate?

• When does a behavioral condition qualify as a regime?

• What constitutes a candidate boundary?

• What evidence is required to confirm Basin Exit?

• When is formal lead time admissible?

• What makes a worldline reproducible?

• What authority may an instrument exercise?

• Which claims must remain prohibited?

• What must a preserved evidence artifact contain?

These are not matters of presentation. They determine whether runtime findings can be consistently interpreted, independently inspected, and meaningfully compared.

What the Standards Govern

The Runtime Standards program governs four connected layers.

Semantic Governance

Establishes canonical terminology and preserves distinctions among related concepts.

This includes terms such as:

• runtime;

• trajectory;

• worldline;

• signal;

• instrument;

• projection;

• regime;

• attractor;

• drift;

• pressure;

• Basin Exit;

• collapse;

• recovery;

• evidence authority;

• and claim boundary.

Semantic governance prevents familiar words from acquiring incompatible meanings across publications, implementations, and institutions.

Measurement Governance

Defines how observable records become computational features, signals, classifications, markers, and instrument findings.

It addresses:

• eligible evidence;

• coordinate systems;

• measurement levels;

• signal definitions;

• threshold and persistence requirements;

• calibration;

• availability states;

• uncertainty;

• stable negative cases;

• and falsifiability.

Measurement governance ensures that a numerical value is accompanied by a defined method and evidence basis.

Evidence Governance

Defines how computational outputs remain connected to the evidence that authorizes them.

It governs:

• source identity;

• canonical runtime records;

• provenance;

• deterministic evidence cores;

• Runtime Evidence Passports;

• authority boundaries;

• claim admissibility;

• replay;

• investigation lineage;

• and preservation.

Evidence governance prevents analytical surfaces from becoming independent sources of truth.

Interoperability and Preservation

Defines how runtime evidence, schemas, findings, and artifacts may be compared or exchanged across versions, implementations, and institutions.

It addresses:

• portable evidence objects;

• versioned schemas;

• conformance profiles;

• release mappings;

• preservation manifests;

• privacy and disclosure;

• independent review;

• and Evidence Commons compatibility.

Interoperability does not require every system to use the same interface. It requires them to preserve the meaning and lineage of the evidence they exchange.

The Runtime Standards Program

Terminology and Semantic Stability Standard

Defines the canonical vocabulary of Recursive Science®, Runtime Intelligence™, Runtime Evidence™, and Evidence-Governed Computation™.

Its purpose is to preserve conceptual continuity while allowing the language to develop through explicit versioning rather than silent redefinition.

Runtime Behavior and Measurement Standard

Defines the observational and measurement requirements for examining computational behavior across time.

It distinguishes:

• source observations;

• source-derived features;

• computed signals;

• higher-order projections;

• classifications;

• interpretations;

• and unsupported claims.

It also establishes requirements for availability states, calibration, reproducibility, negative cases, and construct validation.

Canonical Regime Standard

Defines the principal runtime regimes and the criteria governing movement among them.

The canonical regime family includes:

• Stable

• Transitional

• Phase-Locked

• Collapse

• Recovery

The standard distinguishes sustained conditions from momentary variation and requires declared persistence, threshold, and transition rules.

A regime label must describe a defined interval of runtime organization. It must not be assigned solely because an individual output appears correct or incorrect.

Worldline and Temporal Evidence Standard

Defines how runtime behavior may be represented as an ordered, evidence-bound trajectory.

It governs:

• canonical runtime coordinates;

• event and turn order;

• dependency order;

• symbolic time;

• worldline construction;

• transition markers;

• temporal horizons;

• replay ordering;

• and protection against future-information leakage.

It also establishes the conditions under which temporal claims are admissible.

A temporal claim is admissible only when its clock, ordering relation, eligible evidence horizon, transformation method, and marker authority are declared.

Formal lead time requires both a confirmed transition anchor and an observable failure anchor expressed on compatible coordinates. Without those anchors, the result must remain an inspection window rather than formal lead time.

Signal and Instrument Contract Standard

Defines how scientific instruments obtain authority to measure the runtime.

Every registered instrument must declare:

• which evidence objects it may read;

• which signals it consumes;

• which property it measures;

• which finding schema it produces;

• how missing evidence is handled;

• which surfaces may consume its findings;

• and which claims it cannot make.

Instrument contracts preserve the governing architecture:

One Runtime. One Evidence Authority. Multiple Bounded Projections.

An instrument may produce a specialized finding. It may not create source evidence, rewrite canonical telemetry, move authoritative markers, alter the Runtime Evidence Passport, or exceed the claim boundary of the evidence run.

Runtime Evidence Standard

Defines the requirements for transforming operational records into structured, replayable, and preservable evidence objects.

Its scope includes:

• source qualification;

• canonicalization;

• evidence identity;

• runtime reconstruction;

• Certified Runtime Evidence Records;

• deterministic evidence cores;

• Runtime Evidence Passports;

• provenance;

• disclosure and absence states;

• claim lineage;

• replayability;

• and preservation readiness.

The standard distinguishes reproducibility from validity. A deterministic result can be reproduced, but its scientific meaning must still be calibrated, tested, and independently examined.

Evidence-Governed Computation Standard

Defines the constitutional rule connecting evidence to computational authority.

A system is evidence-governed when its authoritative outputs—including measurements, classifications, visualizations, explanations, recommendations, and exports—derive from an identified evidence object through declared methods and remain within an executable claim boundary.

Its governing principle is:

No computational claim may exceed the authority of the evidence from which it was derived.

This standard also governs uncertainty, challenge, review, prohibited claims, and the relationship among one authoritative evidence object and its multiple computational projections.

Evidence Commons Preservation and Interoperability Standard

Defines how runtime evidence artifacts may be preserved, exchanged, compared, and independently reviewed beyond the system that created them.

Its scope includes:

• portable evidence packages;

• provenance manifests;

• schema and method versions;

• integrity references;

• disclosure boundaries;

• instrument-finding lineage;

• privacy-preserving exchange;

• independent challenge;

• and long-term preservation.

Its purpose is to extend runtime evidence from an individual investigation toward shared accountability infrastructure.

Standards Status and Maturity

The standards presented here are reference standards developed within the Recursive Science and Fieldglass programs. They should not be represented as externally adopted industry standards unless such adoption has independently occurred.

Each standard declares its maturity.

Exploratory
The concept is under active investigation and may change materially.

Draft
The principal structure has been documented but remains open to revision.

Candidate
The standard is sufficiently specified for implementation, testing, and external review.

Reference
The standard is the current canonical version governing this body of work and its declared implementations.

Superseded
A newer version has replaced the standard while the previous version remains preserved for provenance and compatibility.

Maturity status is distinct from implementation and validation. A standard may be implemented without being independently validated, and a reference standard may remain open to empirical challenge.

What Every Standard Must Declare

Every published Runtime Standard should identify:

• canonical title and identifier;

• originating author and institutional lineage;

• version and publication date;

• maturity status;

• scope and exclusions;

• normative definitions;

• required behavior;

• prohibited behavior and claims;

• dependencies on other standards;

• applicable schemas and coordinate systems;

• implementation mappings;

• conformance requirements;

• validation or test materials;

• revision history;

• and supersession status.

Normative requirements establish what an implementation must do to claim conformance. Informative guidance explains intent without creating an additional requirement.

Conformance Is Not Validation

Conformance means that an implementation satisfies the declared requirements of a particular standard and version.

It does not automatically establish that:

• the scientific construct is universally valid;

• the measurement has been externally calibrated;

• the system is safe;

• a finding is objectively true;

• a deployment is compliant with regulation;

• or an implementation is suitable for every operational environment.

These questions require additional evidence.

Standards make testing and comparison possible by stabilizing what is being tested. They do not predetermine the result.

Versioning and Provenance

Runtime Standards evolve, but they must not change invisibly.

Every revision should preserve:

• the prior version;

• the reason for change;

• affected definitions and contracts;

• implementation consequences;

• migration requirements;

• and the date and authority of the revision.

A preserved Runtime Evidence artifact should remain interpretable according to the standards and computational versions active when it was created.

This makes provenance part of the standard itself.

It protects scientific lineage, prevents silent semantic drift, and allows later investigators to determine whether two measurements are genuinely comparable.

The Central Principle

Runtime Standards exist to keep an expanding scientific and computational system coherent.

They allow different papers to refer to the same phenomena, different instruments to measure the same runtime, different implementations to exchange meaningful evidence, and different investigators to challenge findings using a shared frame of reference.

A runtime measurement becomes durable only when its meaning, method, authority, limits, and lineage remain stable enough for another person to inspect and reproduce.

The standards preserve that stability.

They are the common language connecting intelligence in motion to measurement, evidence, implementation, and independent accountability.