Chapter 23 — Constitutional Runtime Framework
Part VII — Temporal and Event Runtime
The Temporal and Event Runtime is the governed constitutional runtime through which ZAYAZ evaluates when constitutional knowledge, policies, authorities, evidence, assertions, relationships, calculations, validations and operational states apply, and through which constitutionally significant changes are represented as identifiable, ordered, correlated and replayable Constitutional Events.
Time SHALL be treated as constitutional data.
Events SHALL be treated as constitutional objects or governed runtime artefacts.
The Runtime SHALL NOT rely upon an implicit system clock, mutable “current state”, database update timestamp or message-broker sequence as the sole representation of constitutional time or event history.
The governing distinction is:
Temporal Runtime determines when knowledge and authority apply. Event Runtime records what happened, in which order, within which context and with which causal lineage.
Temporal evaluation SHALL remain distinct from temporal validation.
- The Temporal Runtime evaluates applicable time dimensions and constructs temporal state.
- HECATE validates whether the temporal evaluation and resulting state conform to constitutional rules.
- The Event Runtime records, orders, correlates and replays constitutionally significant changes.
- The Workflow Runtime may consume events to coordinate subsequent actions.
Conceptually:
Constitutional Knowledge
│
├── Effective Time
├── Valid Time
├── Transaction Time
├── Observation Time
├── Event Time
├── Processing Time
├── Publication Time
├── Reporting Period
└── Retention Time
│
▼
Temporal Context Resolution
│
▼
Temporal Evaluation
│
├── Current Evaluation
├── Historical Evaluation
├── Future Evaluation
├── Bitemporal Evaluation
└── Scenario Evaluation
│
▼
Temporal State
│
▼
Constitutional Events
│
├── Identity
├── Ordering
├── Correlation
├── Causation
├── Replay
└── Provenance
│
▼
Runtime Outcomes, Workflows and Audit
Equivalent temporal inputs, time-source state, Runtime Context, Runtime Bundle and event history SHALL produce semantically equivalent temporal and event outcomes.
23.67. Runtime Time Model
The Runtime Time Model is the constitutional model defining the time dimensions, temporal objects, clock sources, interval semantics, calendar semantics and evaluation rules used by the Constitutional Runtime Framework.
The Runtime Time Model SHALL be explicit, versioned and technology-independent.
23.67.1. Purpose
The Runtime Time Model SHALL support:
- current-state evaluation;
- historical reconstruction;
- future-effective knowledge;
- regulatory-version applicability;
- reporting-period evaluation;
- evidence currency;
- authority validity;
- delegation validity;
- approval validity;
- assurance validity;
- event ordering;
- event replay;
- correction and restatement;
- lifecycle transitions;
- retention and legal hold;
- simulation and scenario analysis;
- deterministic execution.
23.67.2. Time Dimensions
The Runtime SHALL distinguish time dimensions including:
| Time Dimension | Constitutional Meaning |
|---|---|
| Effective Time | When a constitutional rule, policy, authority or artefact is intended to govern |
| Valid Time | When a represented fact or assertion is true or applicable in the represented world |
| Transaction Time | When the constitutional system recorded or changed the knowledge |
| Observation Time | When an observation, measurement or evidence item was observed |
| Event Time | When the represented event occurred |
| Ingestion Time | When data or an event entered the platform boundary |
| Processing Time | When a Runtime Component processed the item |
| Publication Time | When an outcome or artefact was published |
| Assertion Time | When an actor asserted a claim |
| Approval Time | When approval became effective |
| Assurance Time | When an assurance conclusion was issued |
| Reporting Period | The governed period covered by a report, metric or disclosure |
| Retention Time | The period during which information must be retained |
| Legal-Hold Time | The period during which deletion or alteration is prohibited |
| Simulation Time | The time coordinate used within a scenario or model |
| Replay Time | The controlled time coordinate used during replay |
These dimensions SHALL NOT be collapsed unless an explicit Temporal Profile establishes equivalence for a defined purpose.
23.67.3. Temporal Object
A Temporal Object is a governed representation of a point, interval, duration, recurring schedule, calendar period or uncertainty range.
Temporal Objects MAY include:
- instant;
- closed interval;
- open interval;
- half-open interval;
- duration;
- reporting period;
- fiscal period;
- calendar period;
- recurrence;
- deadline;
- grace period;
- retention period;
- uncertain interval;
- temporal set;
- temporal exception.
23.67.4. Temporal Identifier
Every constitutionally significant Temporal Object SHOULD possess:
- Temporal Identifier;
- temporal type;
- time dimension;
- start;
- end;
- boundary semantics;
- time zone;
- calendar;
- precision;
- granularity;
- uncertainty;
- source;
- lifecycle;
- version;
- provenance.
23.67.5. Interval Semantics
Every interval SHALL declare whether its boundaries are:
- inclusive;
- exclusive;
- left-inclusive and right-exclusive;
- left-exclusive and right-inclusive;
- unbounded.
The default interval convention SHALL be governed by a Temporal Profile.
Implementation libraries SHALL NOT silently select interval semantics.
23.67.6. Temporal Precision
Temporal precision MAY include:
- year;
- quarter;
- month;
- week;
- day;
- hour;
- minute;
- second;
- millisecond;
- microsecond;
- nanosecond;
- domain-specific period.
The Runtime SHALL not imply greater precision than the source supports.
23.67.7. Temporal Granularity
Granularity determines the unit at which temporal comparisons are constitutionally meaningful.
Two timestamps MAY differ technically while remaining constitutionally equivalent where the applicable granularity is day, month or reporting period.
Granularity SHALL be explicit in Temporal Profiles and Validation Rules.
23.67.8. Time Zones
Every local civil time SHALL identify:
- time-zone identifier;
- applicable offset;
- daylight-saving rule where relevant;
- source;
- ambiguity or invalid local-time state.
Offsets alone SHOULD NOT replace named time zones where future or historical daylight-saving behaviour matters.
23.67.9. Calendar Systems
The Runtime Time Model MAY support:
- Gregorian calendar;
- ISO week calendar;
- fiscal calendars;
- regulatory calendars;
- business calendars;
- jurisdiction-specific holidays;
- organisation-specific calendars;
- 4-4-5 and related accounting calendars;
- domain-specific reporting calendars.
Every non-default calendar SHALL possess identity and version.
23.67.10. Clock Source
Every authoritative execution SHALL identify its governed Clock Source.
Clock Sources MAY include:
- trusted system clock;
- database transaction clock;
- event-provided clock;
- external trusted timestamp;
- simulation clock;
- replay clock;
- reporting-period clock;
- manually asserted time approved by governance.
23.67.11. Clock Source Identity
A Clock Source SHALL declare:
- Clock Source Identifier;
- source type;
- trust level;
- synchronization method;
- precision;
- expected drift;
- jurisdiction;
- availability;
- monotonicity guarantee;
- leap-second treatment;
- version;
- provenance.
23.67.12. Wall Clock and Monotonic Clock
The Runtime SHALL distinguish:
- wall-clock time, used for civil, legal and reporting meaning; and
- monotonic time, used for measuring elapsed duration and execution timeout.
A monotonic clock SHALL NOT be used to establish legal or reporting dates.
A wall clock SHALL NOT be assumed monotonic.
23.67.13. Clock Drift
The Runtime SHOULD detect and record material clock drift.
Clock drift MAY affect:
- event ordering;
- deadlines;
- authority expiration;
- evidence timestamps;
- signatures;
- replay;
- distributed transactions;
- assurance.
Material drift SHALL produce a Temporal Integrity Event.
23.67.14. Temporal Uncertainty
A temporal value MAY be uncertain.
Uncertainty MAY be represented as:
- earliest possible time;
- latest possible time;
- confidence interval;
- approximate date;
- partial date;
- unknown time zone;
- unknown precision;
- disputed time;
- inferred time.
Uncertain time SHALL not be silently converted into an exact timestamp.
23.67.15. Temporal Provenance
Every material temporal value SHALL preserve:
- source;
- actor or Component;
- assertion time;
- acquisition time;
- transformation;
- normalization;
- time-zone conversion;
- precision change;
- uncertainty;
- provenance.
23.67.16. Temporal Profile
A Temporal Profile is the governed Constitutional Object defining:
- applicable time dimensions;
- interval convention;
- clock source;
- time zone;
- calendar;
- precision;
- granularity;
- uncertainty treatment;
- late-arrival policy;
- correction policy;
- historical policy;
- future-evaluation policy;
- replay policy;
- validation policy.
CRP SHALL resolve the applicable Temporal Profile.
23.67.17. Time Normalization
Time normalization SHALL be deterministic.
It MAY include:
- time-zone conversion;
- calendar conversion;
- precision normalization;
- interval canonicalization;
- reporting-period alignment;
- fiscal-period alignment;
- daylight-saving disambiguation.
The original temporal representation SHALL remain preserved.
23.67.18. Temporal Comparison
Temporal comparison SHALL account for:
- time dimension;
- precision;
- granularity;
- time zone;
- calendar;
- uncertainty;
- interval boundaries;
- context;
- validity.
The Runtime SHALL not compare values from different time dimensions as though they were equivalent.
23.67.19. Temporal Algebra
The Runtime MAY support governed temporal operations including:
- before;
- after;
- meets;
- overlaps;
- during;
- contains;
- starts;
- finishes;
- equals;
- intersects;
- union;
- difference;
- shift;
- truncate;
- align;
- split;
- coalesce.
The semantics of each operation SHALL be explicit.
23.67.20. HECATE Validation
HECATE SHALL validate:
- time-dimension identity;
- interval boundaries;
- precision;
- granularity;
- time zone;
- calendar;
- Clock Source;
- temporal uncertainty;
- normalization;
- provenance;
- compatibility with the Runtime Context.
23.68. Effective-Time Evaluation
Effective-Time Evaluation determines when constitutional knowledge, policies, authorities, rules, schemas, Runtime Bundles and governance artefacts are intended to govern runtime behaviour.
Effective time SHALL be evaluated independently from transaction time.
23.68.1. Effective-Time Subject
Effective-Time Evaluation MAY apply to:
- Constitutional Objects;
- Constitutional Relationships;
- Constitutional Assertions;
- Constitutional Schemas;
- Validation Rules;
- Inference Rules;
- Governance Policies;
- Resolution Policies;
- Runtime Bundles;
- Runtime Manifests;
- Authority Assignments;
- Delegations;
- approvals;
- assurance conclusions;
- tenant overlays;
- regulatory versions;
- methodology versions.
23.68.2. Effective Interval
Every effective-time-aware subject SHALL declare:
- effective start;
- effective end where known;
- boundary semantics;
- status before activation;
- status after expiration;
- source authority;
- approval;
- provenance.
23.68.3. Future-Effective Knowledge
Knowledge MAY be approved before its effective start.
Such knowledge SHALL be classified as Future Effective and SHALL not govern current authoritative execution unless a future-evaluation or simulation profile applies.
23.68.4. Retroactive Effect
A constitutional artefact MAY be assigned retroactive effect only where the governing authority permits it.
Retroactive effect SHALL preserve:
- decision authority;
- legal or policy basis;
- effective start;
- transaction time;
- affected historical outcomes;
- restatement requirements;
- notification requirements;
- provenance.
23.68.5. Overlapping Effective Versions
Overlapping effective versions SHALL be resolved through explicit policy.
The Runtime SHALL detect:
- unintended overlap;
- intended concurrent applicability;
- jurisdiction-specific overlap;
- tenant-specific overlap;
- phased transition;
- shadow deployment;
- emergency overlap.
Implementation version ordering SHALL NOT resolve overlap.
23.68.6. Effective Gaps
A gap MAY exist where no version is effective.
The Temporal Profile SHALL determine whether a gap produces:
- blocked execution;
- governed fallback;
- continued prior version;
- provisional outcome;
- human decision;
- emergency policy.
23.68.7. Effective-Time Resolution
CRP SHALL resolve the applicable effective version using:
- evaluation time;
- tenant;
- jurisdiction;
- constitutional release;
- reporting framework;
- subject type;
- lifecycle;
- transition policy;
- override;
- emergency state.
23.68.8. Approval and Effective Time
Approval time and effective time SHALL remain distinct.
A subject MAY be:
- approved and immediately effective;
- approved but future effective;
- effective subject to later approval where law permits;
- approved retroactively;
- approved but suspended.
23.68.9. Revocation
Revocation SHALL declare:
- revocation decision;
- authority;
- effective revocation time;
- transaction time;
- future-use prohibition;
- historical-use treatment;
- affected dependants;
- provenance.
Revocation SHALL not erase historical applicability before the effective revocation time.
23.68.10. Suspension
Suspension MAY temporarily interrupt effective applicability.
Suspension SHALL preserve:
- suspension start;
- expected or actual end;
- authority;
- reason;
- affected scope;
- emergency status;
- reinstatement policy;
- provenance.
23.68.11. Supersession
Supersession SHALL distinguish:
- legal supersession;
- semantic supersession;
- implementation supersession;
- tenant supersession;
- partial supersession;
- temporal succession.
A superseded artefact MAY remain historically effective.
23.68.12. Effective-Time Cache
Cached resolution or validation results SHALL be invalidated when effective-time boundaries are crossed.
The Runtime SHOULD schedule boundary-triggered invalidation where predictable.
23.68.13. Boundary Events
Effective start, expiration, suspension, reinstatement and revocation SHOULD produce Constitutional Events.
23.68.14. Effective-Time Outcome
An Effective-Time Evaluation Outcome SHALL preserve:
- subject;
- evaluated instant or interval;
- applicable effective version;
- rejected versions;
- overlap or gap;
- transition policy;
- Runtime Context;
- Temporal Profile;
- Clock Source;
- status;
- explanation;
- provenance.
23.69. Valid-Time Evaluation
Valid-Time Evaluation determines when a represented fact, observation, relationship, measurement, assertion or state is true or applicable in the represented world.
Valid time SHALL remain distinct from when the platform recorded the knowledge.
23.69.1. Valid-Time Subjects
Valid-Time Evaluation MAY apply to:
- organisational ownership;
- legal-entity status;
- facility operation;
- supplier relationship;
- product composition;
- certification;
- employment;
- authority relation;
- emission factor applicability;
- activity data;
- measurement;
- risk;
- control;
- evidence;
- materiality assessment;
- assertion;
- derived assertion;
- reported metric.
23.69.2. Valid Interval
A valid-time-aware assertion SHALL declare:
- valid start;
- valid end where known;
- temporal precision;
- uncertainty;
- source;
- evidence;
- provenance.
23.69.3. Observation and Valid Time
Observation time and valid time SHALL remain distinct.
Example:
A meter reading observed on 2026-02-01
may represent consumption valid for
2026-01-01 through 2026-01-31.
23.69.4. Assertion and Valid Time
Assertion time SHALL not be treated as valid time.
An actor may assert today that a fact was valid in a prior period.
23.69.5. Valid-Time Correction
A correction MAY alter the system’s understanding of valid time without changing the historical record of what was previously known.
The correction SHALL preserve:
- prior assertion;
- corrected assertion;
- correction reason;
- evidence;
- authority;
- transaction time;
- affected outcomes;
- provenance.
23.69.6. Late-Arriving Facts
A late-arriving fact is knowledge recorded after its valid period began or ended.
The Runtime SHALL preserve:
- valid time;
- transaction time;
- ingestion time;
- lateness;
- source;
- correction or restatement implications;
- provenance.
23.69.7. Valid-Time Conflict
Conflicts MAY include:
- overlapping incompatible states;
- contradictory observations;
- duplicate ownership;
- impossible lifecycle overlap;
- overlapping certifications;
- inconsistent facility status;
- incompatible product compositions.
Conflicts SHALL remain explicit until resolved.
23.69.8. Partial Knowledge
Valid-time knowledge MAY be incomplete.
The Runtime MAY represent:
- open-ended interval;
- unknown start;
- unknown end;
- approximate period;
- disputed interval;
- inferred interval;
- intermittent validity.
23.69.9. Interval Coalescing
Adjacent or overlapping valid intervals MAY be coalesced where:
- semantic content is equivalent;
- source policy permits;
- uncertainty remains compatible;
- provenance remains preserved;
- no meaningful boundary is concealed.
23.69.10. Valid-Time Splitting
A valid interval MAY be split where:
- a correction applies to part of the period;
- a new relationship begins;
- methodology changes;
- organisational boundaries change;
- a certification is suspended;
- evidence differs by sub-period.
23.69.11. Valid-Time Aggregation
Aggregation across time SHALL define:
- period;
- inclusion boundaries;
- missing intervals;
- overlapping observations;
- weighting;
- interpolation;
- extrapolation;
- uncertainty.
23.69.12. Valid-Time Reasoning
Reasoning over valid time MAY derive:
- temporal containment;
- overlap;
- succession;
- continuity;
- gap;
- duration;
- co-occurrence;
- temporal dependency.
Derived temporal assertions SHALL preserve premises and rules.
23.69.13. Valid-Time Outcome
A Valid-Time Evaluation Outcome SHALL preserve:
- subject;
- evaluated period;
- matching assertions;
- excluded assertions;
- conflicts;
- gaps;
- uncertainty;
- Temporal Profile;
- Context Fingerprint;
- explanation;
- provenance.
23.70. Transaction-Time Evaluation
Transaction-Time Evaluation determines when knowledge was recorded, changed, corrected, superseded, revoked or deleted within the constitutional system.
Transaction time SHALL be system-managed and immutable for completed historical records.
23.70.1. Transaction-Time Record
Every constitutionally significant change SHALL preserve:
- transaction start;
- transaction end where applicable;
- recording system;
- recording Component;
- actor;
- Execution Identifier;
- event;
- prior version;
- new version;
- provenance.
23.70.2. System of Record Time
Transaction time SHALL be established by the governed system of record or a trusted federation policy.
Client-provided transaction timestamps SHALL not be accepted as authoritative without validation.
23.70.3. Append-Only History
Constitutionally significant transaction history SHOULD be append-only.
Corrections SHALL create new versions, events or assertions rather than mutate historical transaction time.
23.70.4. Transaction-Time Version
Every version SHALL identify:
- object or assertion identity;
- version identity;
- transaction start;
- transaction end;
- change type;
- actor;
- authority;
- source event;
- prior version;
- content fingerprint;
- provenance.
23.70.5. As-Recorded Query
The Runtime SHALL support queries such as:
What did the system record as known at transaction time T?
The result SHALL use the historical transaction state, not current corrected knowledge.
23.70.6. Bitemporal Query
The Runtime SHALL support queries such as:
What did the system believe at transaction time T about valid time V?
Bitemporal results SHALL preserve both dimensions.
23.70.7. Backdated Transaction Prohibition
The Runtime SHALL NOT silently backdate transaction time.
Imported historical systems MAY preserve source-system transaction time as a separate dimension, while ZAYAZ transaction time records when the import entered ZAYAZ.
23.70.8. Transaction Corrections
A transaction correction SHALL identify:
- erroneous transaction record;
- correcting record;
- correction authority;
- reason;
- correction time;
- affected dependants;
- provenance.
The erroneous historical record SHALL remain visible subject to lawful redaction.
23.70.9. Deletion and Tombstones
Where deletion is permitted, the Runtime SHOULD preserve a tombstone containing:
- deleted identity;
- deletion event;
- authority;
- reason;
- transaction time;
- retention treatment;
- legal-hold status;
- provenance.
Deletion SHALL not silently remove constitutional lineage.
23.70.10. Transaction Ordering
Transaction order SHALL be established through:
- trusted transaction sequence;
- consensus order;
- append-log order;
- database commit order;
- governed federation merge policy.
The order SHALL be explicit and auditable.
23.70.11. Concurrent Transactions
Concurrent changes SHALL be detected and resolved through a governed concurrency policy.
Policies MAY include:
- optimistic concurrency;
- serializable transaction;
- merge;
- conflict object;
- authority precedence;
- manual resolution;
- append-only coexistence.
Last-write-wins SHALL NOT be used for constitutionally significant conflict unless explicitly governed.
23.70.12. Transaction-Time Outcome
A Transaction-Time Evaluation Outcome SHALL preserve:
- queried transaction instant or interval;
- object or graph snapshot;
- included versions;
- excluded versions;
- transaction sequence;
- conflicts;
- source system;
- explanation;
- provenance.
23.71. Historical Reconstruction
Historical Reconstruction is the governed process through which the Runtime reconstructs constitutional, operational or evidentiary state for a defined historical temporal context.
Historical Reconstruction SHALL distinguish:
- what was valid;
- what was effective;
- what was observed;
- what was recorded;
- what was believed;
- what was published;
- what authority existed.
23.71.1. Reconstruction Request
Every reconstruction SHALL originate from a Historical Reconstruction Request containing:
- Reconstruction Request Identifier;
- purpose;
- actor;
- authority;
- target subject or graph;
- requested time dimensions;
- requested instant or interval;
- tenant;
- jurisdiction;
- constitutional release;
- permitted data scope;
- output profile;
- provenance.
23.71.2. Reconstruction Types
Reconstruction Types MAY include:
- constitutional-state reconstruction;
- graph reconstruction;
- reporting-period reconstruction;
- authority reconstruction;
- evidence reconstruction;
- calculation reconstruction;
- workflow reconstruction;
- publication reconstruction;
- incident reconstruction;
- assurance reconstruction;
- tenant-state reconstruction;
- Runtime Manifest reconstruction.
23.71.3. Required Artefacts
Historical Reconstruction MAY require:
- historical graph snapshots;
- event history;
- object versions;
- relationship versions;
- Runtime Bundles;
- Runtime Manifests;
- policies;
- Resolution Policies;
- Validation Rules;
- Inference Rules;
- authority assignments;
- delegations;
- approvals;
- evidence;
- external-source snapshots;
- compiler manifests.
23.71.4. Reconstruction Plan
A Reconstruction Plan SHALL define:
- temporal dimensions;
- snapshot sources;
- event sources;
- replay boundaries;
- rule versions;
- Runtime Bundle versions;
- missing-data treatment;
- conflict treatment;
- side-effect prohibition;
- validation;
- explanation;
- provenance.
23.71.5. Snapshot-Based Reconstruction
A snapshot MAY provide a reconstruction baseline.
The Runtime SHALL verify:
- snapshot identity;
- snapshot time;
- completeness;
- tenant;
- graph scope;
- content fingerprint;
- Runtime Bundle compatibility;
- provenance.
23.71.6. Event-Based Reconstruction
Event-based reconstruction SHALL apply ordered Constitutional Events from an approved baseline.
The Runtime SHALL validate:
- event completeness;
- event order;
- event identity;
- idempotency;
- causality;
- replay safety;
- projection version;
- provenance.
23.71.7. Hybrid Reconstruction
Hybrid reconstruction MAY combine snapshots and subsequent events.
The Runtime SHALL identify the exact snapshot boundary and event range.
23.71.8. Historical Authority
Historical reconstruction SHALL use authority, delegation, Role, approval and governance state applicable to the historical transaction and effective times.
Current authority SHALL not replace historical authority.
23.71.9. Historical External Dependencies
Where historical external data is required, the Runtime SHALL use:
- preserved response;
- versioned dataset;
- archived registry;
- signed evidence;
- controlled reconstruction;
- explicitly qualified substitute.
Current external data SHALL not silently replace unavailable historical data.
23.71.10. Missing Historical Data
Missing historical data SHALL produce an explicit qualification.
Possible statuses include:
- complete;
- complete with controlled redaction;
- materially complete;
- partially reconstructed;
- materially incomplete;
- unavailable;
- disputed.
23.71.11. Reconstruction Confidence
Where exact reconstruction is impossible, the Runtime MAY express governed reconstruction confidence or completeness.
Confidence SHALL remain distinct from factual validity.
23.71.12. Historical Corrections
The Runtime SHALL distinguish:
- historical state as originally recorded;
- historical state after later correction;
- current understanding of historical valid time.
All three MAY be needed for assurance and dispute resolution.
23.71.13. Reconstruction Isolation
Historical Reconstruction SHALL run in an isolated boundary by default.
It SHALL not:
- mutate current state;
- emit production side effects;
- republish historical outputs;
- trigger current workflows;
- alter current caches;
- activate historical authority.
23.71.14. Reconstruction Outcome
The outcome SHALL preserve:
- requested temporal context;
- reconstructed state;
- source snapshot;
- applied events;
- omitted or unavailable data;
- rule and bundle versions;
- completeness;
- conflicts;
- qualifications;
- explanation;
- provenance.
23.71.15. HECATE Validation
HECATE SHALL validate:
- reconstruction request authority;
- source integrity;
- temporal consistency;
- snapshot compatibility;
- event order;
- rule versions;
- authority state;
- completeness;
- isolation;
- explanation;
- provenance.
23.72. Future Evaluation
Future Evaluation is the governed evaluation of constitutional or operational state for a future time, scenario, planned change or forecast.
Future Evaluation SHALL distinguish approved future-effective knowledge from assumptions, predictions, proposals and simulations.
23.72.1. Future Evaluation Request
Every Future Evaluation SHALL identify:
- Evaluation Identifier;
- purpose;
- target future time or interval;
- Runtime Context;
- scenario;
- actor;
- authority;
- future-effective artefacts;
- assumptions;
- model versions;
- uncertainty policy;
- output classification;
- provenance.
23.72.2. Future Evaluation Types
Types MAY include:
- future-effective constitutional evaluation;
- regulatory applicability forecast;
- reporting-obligation forecast;
- authority-expiration forecast;
- delegation-expiration forecast;
- contract-expiration forecast;
- lifecycle forecast;
- scenario analysis;
- transition planning;
- risk forecast;
- emissions forecast;
- climate scenario;
- financial-impact forecast;
- supply-chain forecast;
- capacity forecast.
23.72.3. Approved Future Knowledge
Approved future-effective knowledge SHALL preserve:
- approval;
- effective start;
- authority;
- version;
- dependencies;
- supersession policy;
- cancellation policy;
- provenance.
23.72.4. Proposed Future Knowledge
Draft or proposed rules SHALL remain distinguishable from approved future-effective rules.
The Runtime SHALL not treat proposals as guaranteed future law or policy.
23.72.5. Scenario Object
Every material future scenario SHOULD possess:
- Scenario Identifier;
- scenario type;
- semantic definition;
- horizon;
- assumptions;
- drivers;
- model;
- uncertainty;
- governing authority;
- lifecycle;
- version;
- provenance.
23.72.6. Scenario Time
Simulation time SHALL be explicit and separate from execution time.
A scenario may accelerate, pause, branch or rewind simulation time without altering current constitutional time.
23.72.7. Assumptions
Every assumption SHALL preserve:
- Assumption Identifier;
- statement;
- source;
- authority or author;
- temporal scope;
- uncertainty;
- sensitivity;
- validation status;
- provenance.
23.72.8. Forecast Models
Forecast models SHALL identify:
- model identity;
- version;
- methodology;
- training or calibration data;
- parameters;
- scenario inputs;
- uncertainty;
- limitations;
- Component;
- Module;
- provenance.
23.72.9. Branching Futures
The Runtime MAY evaluate multiple future branches.
Every branch SHALL preserve:
- parent scenario;
- divergence point;
- changed assumptions;
- future-effective knowledge;
- branch identifier;
- outcome;
- provenance.
23.72.10. Future Resolution
CRP SHALL resolve whether future-effective, current, draft or scenario-specific knowledge applies to the evaluation.
23.72.11. Future Validation
HECATE SHALL validate:
- scenario identity;
- assumptions;
- model applicability;
- time horizon;
- future-effective versions;
- jurisdiction;
- context;
- uncertainty;
- explanation;
- provenance.
23.72.12. Future Outcome Classification
Future outcomes MAY be:
- constitutionally scheduled;
- forecast;
- scenario outcome;
- stress outcome;
- hypothetical;
- proposed;
- uncertain;
- indeterminate.
No future outcome SHALL be represented as current constitutional fact.
23.72.13. Forecast Refresh
A forecast MAY require refresh upon:
- new observations;
- model update;
- policy change;
- regulatory change;
- scenario change;
- evidence update;
- horizon shift;
- material divergence.
23.72.14. Future Impact Analysis
The Runtime SHOULD support future impact analysis over:
- policies;
- Runtime Bundles;
- authority assignments;
- reports;
- disclosures;
- calculations;
- workflows;
- tenants;
- Modules;
- Components;
- supply chains;
- financial outcomes.
23.72.15. Future Evaluation Outcome
The outcome SHALL preserve:
- target future period;
- current knowledge baseline;
- future-effective knowledge;
- scenario;
- assumptions;
- models;
- uncertainty;
- classifications;
- qualifications;
- explanation;
- provenance.
23.73. Constitutional Events
A Constitutional Event is an identifiable, immutable representation of a constitutionally significant occurrence, decision, transition, observation or change.
A Constitutional Event SHALL describe that something happened.
It SHALL not silently substitute for the current state or the full constitutional meaning of the affected subject.
23.73.1. Event Identity
Every Constitutional Event SHALL possess:
- Event Identifier;
- Event Type;
- semantic definition;
- event time;
- transaction time;
- ingestion time where applicable;
- producer;
- actor;
- authority;
- tenant;
- jurisdiction;
- Runtime Context;
- subject;
- prior state reference where applicable;
- resulting state reference where applicable;
- payload;
- schema;
- correlation;
- causation;
- integrity metadata;
- provenance.
23.73.2. Event Types
Event Types MAY include:
- ConstitutionalObjectCreated;
- ConstitutionalObjectUpdated;
- ConstitutionalObjectActivated;
- ConstitutionalObjectSuspended;
- ConstitutionalObjectRevoked;
- RelationshipCreated;
- RelationshipEnded;
- AssertionMade;
- AssertionDerived;
- AssertionRetracted;
- PolicyActivated;
- RuleActivated;
- RuntimeBundleActivated;
- RuntimeBundleRevoked;
- AuthorityAssigned;
- AuthorityRevoked;
- DelegationCreated;
- DelegationRevoked;
- ApprovalGranted;
- ApprovalRevoked;
- ValidationCompleted;
- FindingCreated;
- FindingRemediated;
- AssuranceIssued;
- AssuranceWithdrawn;
- ExecutionStarted;
- ExecutionCompleted;
- TransactionCommitted;
- CompensationCompleted;
- ReportPublished;
- PublicationCorrected;
- EvidenceReceived;
- EvidenceRevoked;
- EmergencyDeclared;
- EmergencyEnded;
- EscalationRaised;
- EscalationClosed.
Event Types SHALL originate from governed Constitutional Value Providers.
23.73.3. Event Schema
Every Event Type SHALL possess a Constitutional Schema defining:
- required properties;
- optional properties;
- subject types;
- payload semantics;
- temporal fields;
- correlation fields;
- causation fields;
- security classification;
- retention;
- versioning;
- compatibility;
- provenance.
23.73.4. Event Immutability
A published Constitutional Event SHALL be immutable.
Corrections SHALL be represented through:
- correction event;
- superseding event;
- revocation event;
- compensation event;
- annotation event.
The original event SHALL remain preserved subject to lawful redaction.
23.73.5. Event Producer
Every event producer SHALL possess:
- actor or Component identity;
- Module lineage;
- Component lineage;
- authority;
- tenant;
- Runtime Bundle;
- deployment identity;
- trust status;
- provenance.
23.73.6. Event Authority
An event producer SHALL possess authority to assert the Event Type and subject transition.
Technical ability to publish to an event broker SHALL not establish constitutional event authority.
23.73.7. Event Subject
An event MAY concern:
- one primary subject;
- multiple related subjects;
- a graph partition;
- a transaction;
- a workflow;
- a report;
- a tenant;
- a Runtime Bundle;
- a deployment;
- an assurance engagement.
The subject relationship SHALL be explicit.
23.73.8. Event Payload
The payload SHALL contain only the information required by the Event Schema and disclosure profile.
Sensitive subject state SHOULD be referenced rather than duplicated where appropriate.
23.73.9. Event Envelope and Payload
The Runtime SHALL distinguish:
- Event Envelope, containing identity, time, producer, tenant, correlation, causation, integrity and routing metadata; and
- Event Payload, containing event-specific constitutional content.
Envelope fields that affect constitutional meaning SHALL be governed.
23.73.10. Event Versioning
Event Schemas SHALL be versioned.
Compatibility MAY be:
- backward compatible;
- forward compatible;
- fully compatible;
- incompatible;
- migration required.
Consumers SHALL declare supported versions.
23.73.11. Event Lifecycle
A Constitutional Event MAY progress through:
Created
│
▼
Validated
│
▼
Published
│
▼
Consumed
│
├──► Replayed
├──► Corrected
├──► Superseded
└──► Revoked
│
▼
Archived
The event content SHALL remain immutable after publication.
23.73.12. Event Validation
HECATE SHALL validate:
- Event Identifier;
- Event Type;
- schema;
- producer identity;
- authority;
- subject;
- tenant;
- temporal fields;
- payload;
- correlation;
- causation;
- signatures;
- provenance;
- compatibility.
23.73.13. Domain and Integration Events
The Runtime MAY distinguish:
- constitutional domain events;
- runtime domain events;
- integration events;
- audit events;
- telemetry events;
- security events;
- simulation events.
Telemetry SHALL NOT automatically become constitutional evidence.
23.73.14. Event Publication
Publication SHALL be atomic with the governed state transition where required.
Permitted implementation patterns MAY include:
- transactional outbox;
- event-sourced commit;
- consensus-backed log;
- database change capture with governed validation;
- distributed transaction.
The implementation SHALL disclose its atomicity and delivery guarantees.
23.73.15. Event Delivery Semantics
Delivery MAY be:
- at most once;
- at least once;
- effectively once;
- exactly once within a defined boundary.
The Runtime SHALL NOT claim global exactly-once delivery where only consumer idempotency is provided.
23.73.16. Event Idempotency
Consumers SHALL use Event Identifier and governed idempotency rules to prevent duplicate constitutional effects.
Duplicate delivery SHALL not produce duplicate semantic state transitions.
23.73.17. Event Retention
Event retention SHALL be governed by:
- event type;
- constitutional significance;
- legal obligation;
- assurance requirement;
- privacy;
- tenant policy;
- replay requirement;
- legal hold;
- security classification.
23.73.18. Event Redaction
Where lawful redaction is required, the Runtime SHOULD preserve:
- Event Identifier;
- event type;
- event time;
- redaction fact;
- redacting authority;
- redaction basis;
- integrity of remaining lineage;
- controlled access path;
- provenance.
23.74. Event Ordering
Event Ordering determines the constitutional sequence and causal relationships among events.
The Runtime SHALL distinguish total order, partial order, causal order and processing order.
A message broker offset SHALL NOT automatically establish universal constitutional order.
23.74.1. Ordering Dimensions
Events MAY be ordered by:
- event time;
- effective time;
- valid time;
- transaction time;
- ingestion time;
- processing time;
- producer sequence;
- aggregate sequence;
- partition sequence;
- causal order;
- publication order.
The applicable order SHALL be explicit.
23.74.2. Total and Partial Order
A total order compares every event pair.
A partial order compares only events for which ordering is constitutionally meaningful.
Distributed constitutional events SHOULD use partial and causal order unless a valid global ordering mechanism exists.
23.74.3. Aggregate Sequence
Events affecting one governed aggregate MAY possess a monotonically increasing Aggregate Sequence.
The sequence SHALL be scoped to the aggregate identity.
23.74.4. Partition Sequence
Events within a governed event partition MAY possess a Partition Sequence.
Partition order SHALL not imply order across unrelated partitions.
23.74.5. Causal Order
If Event B was caused by Event A, A SHALL precede B in causal order even if observed timestamps are ambiguous.
Causation SHALL be represented explicitly.
23.74.6. Happens-Before Relationship
The Runtime MAY use a governed happens-before relationship derived from:
- direct causation;
- producer sequence;
- transaction order;
- workflow transition;
- message send and receive;
- explicit dependency;
- synchronization event.
23.74.7. Concurrent Events
Two events MAY be concurrent where neither causally precedes the other.
Concurrent events SHALL not be arbitrarily ordered unless the applicable policy defines a deterministic tie-breaker.
23.74.8. Out-of-Order Arrival
Events MAY arrive out of event-time order.
The Event Runtime SHALL preserve:
- event time;
- ingestion time;
- processing time;
- lateness;
- ordering status;
- watermark state;
- correction impact;
- provenance.
23.74.9. Late Event Policy
A Temporal Profile SHALL define treatment of late events.
Options MAY include:
- accept and recompute;
- accept and restate;
- accept for future use only;
- quarantine;
- reject;
- require approval;
- trigger assurance review;
- trigger publication correction.
23.74.10. Watermarks
A Watermark MAY indicate that events earlier than a defined event time are expected to be complete within a bounded-lateness policy.
Every Watermark SHALL identify:
- scope;
- event source;
- event type;
- watermark time;
- lateness allowance;
- completeness confidence;
- authority;
- provenance.
A watermark SHALL not prove absolute completeness unless a validated closure policy applies.
23.74.11. Sequence Gaps
The Runtime SHALL detect sequence gaps where sequence completeness is required.
A gap MAY produce:
- suspension;
- retry;
- missing-event request;
- degraded mode;
- provisional state;
- incident;
- assurance limitation.
23.74.12. Duplicate Sequence
Duplicate sequence values SHALL produce a conflict unless the Event Schema explicitly permits them.
23.74.13. Reordering
Reordering for processing efficiency MAY occur where constitutional semantics remain preserved.
The Runtime SHALL not reorder events across causal or transaction boundaries that affect outcome meaning.
23.74.14. Deterministic Tie-Breaking
Where a deterministic total order is required, tie-breaking MAY use:
- transaction sequence;
- trusted timestamp;
- authority priority;
- event priority;
- canonical Event Identifier ordering as a final technical tie-breaker.
Canonical identifier ordering SHALL be used only after constitutional criteria are exhausted.
23.74.15. Ordering Conflict
An Ordering Conflict MAY arise from:
- incompatible clocks;
- duplicate sequence;
- conflicting causal claims;
- federation divergence;
- backdated event;
- invalid transaction sequence;
- missing predecessor;
- contradictory event time.
Ordering conflicts SHALL remain explicit.
23.74.16. Event-Order Outcome
An Event-Order Outcome SHALL preserve:
- event set;
- ordering dimensions;
- resolved order;
- concurrent events;
- gaps;
- duplicates;
- conflicts;
- tie-breakers;
- Temporal Profile;
- explanation;
- provenance.
23.75. Event Correlation
Event Correlation is the governed association of related events, executions, transactions, workflows, subjects and outcomes.
Correlation SHALL remain distinct from causation.
Related events are not necessarily causally connected.
23.75.1. Correlation Identifier
A Correlation Identifier MAY group events belonging to:
- one Execution Request;
- one Execution Session;
- one transaction;
- one workflow;
- one report;
- one assurance engagement;
- one incident;
- one publication;
- one supplier interaction;
- one product lifecycle;
- one tenant operation;
- one federated exchange.
23.75.2. Correlation Scope
Every Correlation Identifier SHALL declare its scope.
The same identifier SHALL not be reused across incompatible tenant, purpose or security boundaries.
23.75.3. Causation Identifier
A Causation Identifier SHALL identify the direct event or execution that caused another event.
A chain of Causation Identifiers SHALL support causal lineage.
23.75.4. Parent and Root Correlation
The Runtime MAY preserve:
- direct parent correlation;
- root correlation;
- session correlation;
- transaction correlation;
- workflow correlation;
- external correlation.
23.75.5. Subject Correlation
Events MAY be correlated through shared subjects or Constitutional Relationships.
Subject correlation SHALL preserve the relationship semantics and temporal scope.
23.75.6. Cross-Module Correlation
Cross-Module event correlation SHALL preserve each Module and Component identity.
Pergamum Pulse SHALL not flatten Module and Component lineage.
23.75.7. Cross-Tenant Correlation
Cross-tenant correlation SHALL be prohibited by default.
Where explicitly authorised, correlation SHALL preserve:
- purpose;
- legal basis;
- disclosure profile;
- tenant boundaries;
- redaction;
- provenance.
23.75.8. Federated Correlation
Federated events MAY use:
- shared Correlation Identifier;
- mapped Correlation Identifier;
- external reference;
- signed correlation assertion;
- federation-specific mapping.
Mappings SHALL preserve source and confidence.
23.75.9. Correlation Rules
Correlation MAY be established through:
- explicit identifier;
- deterministic rule;
- governed graph relationship;
- workflow relationship;
- transaction relationship;
- subject identity;
- temporal proximity;
- AI-assisted proposal.
AI- or similarity-based correlation SHALL remain advisory until validated.
23.75.10. False Correlation Prevention
The Runtime SHALL protect against correlation based solely on:
- similar timestamps;
- similar payload;
- shared display label;
- shared IP address;
- ungoverned external identifier;
- vector similarity;
- model confidence without validation.
23.75.11. Correlation Confidence
Where correlation is uncertain, the Runtime MAY preserve confidence and evidence.
Confidence SHALL not convert an uncertain correlation into causal fact.
23.75.12. Correlation Graph
A Correlation Graph MAY connect:
- events;
- executions;
- sessions;
- workflows;
- transactions;
- subjects;
- reports;
- evidence;
- findings;
- publications;
- incidents.
Every edge SHALL possess a governed Relationship Type.
23.75.13. Correlation Lifecycle
A correlation MAY be:
- proposed;
- validated;
- active;
- disputed;
- rejected;
- superseded;
- expired.
23.75.14. Correlation Validation
HECATE SHALL validate:
- Correlation Identifier;
- scope;
- tenant;
- subject;
- relationship semantics;
- evidence;
- confidence;
- lifecycle;
- provenance.
23.75.15. Correlation Outcome
The outcome SHALL preserve:
- related events;
- correlation type;
- scope;
- root and parent identifiers;
- causation distinctions;
- evidence;
- confidence;
- conflicts;
- explanation;
- provenance.
23.76. Event Replay
Event Replay is the governed reprocessing of preserved Constitutional Events within a controlled Replay Context.
Replay SHALL support reconstruction, verification, migration, debugging, assurance, incident analysis and recovery without creating unintended duplicate side effects.
23.76.1. Replay Request
Every replay SHALL originate from an Event Replay Request identifying:
- Replay Request Identifier;
- purpose;
- actor;
- authority;
- event scope;
- start and end boundaries;
- source event stream;
- source snapshot;
- Replay Context;
- Runtime Bundle;
- consumer versions;
- side-effect policy;
- comparison policy;
- provenance.
23.76.2. Replay Types
Replay Types MAY include:
- exact replay;
- semantic replay;
- projection replay;
- reconstruction replay;
- migration replay;
- diagnostic replay;
- forensic replay;
- assurance replay;
- recovery replay;
- simulation replay;
- comparative replay.
23.76.3. Exact Replay
Exact replay SHALL use, where available:
- original events;
- original event order;
- original schemas;
- original Runtime Bundle;
- original consumer Components;
- original Temporal Profile;
- original external responses;
- original Clock Source or replay clock;
- original configuration.
Where these are unavailable, the replay SHALL not be described as exact.
23.76.4. Semantic Replay
Semantic replay MAY use constitutionally equivalent implementations while verifying semantically equivalent outcomes.
23.76.5. Replay Context
A Replay Context SHALL include:
- Replay Identifier;
- source environment;
- target environment;
- tenant;
- temporal boundaries;
- event-order policy;
- Clock Source;
- side-effect policy;
- isolation policy;
- Runtime Bundle;
- comparison profile;
- provenance.
23.76.6. Replay Clock
Replay SHALL use an explicit Replay Clock.
Replay Clock modes MAY include:
- original event-time pace;
- accelerated;
- decelerated;
- stepwise;
- fixed instant;
- deterministic logical time;
- scenario time.
23.76.7. Replay Isolation
Replay SHALL be isolated by default.
Replay SHALL not:
- emit production notifications;
- republish reports;
- duplicate external transactions;
- alter current authoritative state;
- trigger current approvals;
- activate historical authority;
- contaminate production caches.
23.76.8. Replay Side-Effect Policy
Side effects SHALL be classified as:
- prohibited;
- simulated;
- captured but not emitted;
- redirected to test systems;
- explicitly authorised for recovery.
23.76.9. Consumer Idempotency
Replay consumers SHALL use Event Identifier and replay-aware idempotency controls.
The Runtime SHALL distinguish:
- duplicate delivery;
- intentional replay;
- new event;
- corrected event;
- superseding event.
23.76.10. Replay Ordering
Replay SHALL preserve the required:
- transaction order;
- aggregate order;
- causal order;
- partition order;
- Temporal Profile.
Alternative ordering MAY be tested only in simulation or diagnostic mode.
23.76.11. Replay from Snapshot
Replay MAY begin from a validated snapshot.
The Runtime SHALL identify:
- snapshot identity;
- snapshot time;
- snapshot fingerprint;
- first replayed event;
- event-stream position;
- compatibility;
- provenance.
23.76.12. Replay Completeness
The Runtime SHALL verify:
- event-range completeness;
- sequence gaps;
- schema availability;
- consumer compatibility;
- Runtime Bundle availability;
- external dependency availability;
- redaction limitations.
23.76.13. Replay Divergence
Where replay outcomes differ, the Runtime SHALL produce a Divergence Analysis covering:
- event set;
- event order;
- schemas;
- consumers;
- Runtime Bundle;
- Clock Source;
- context;
- external dependencies;
- side-effect policy;
- state;
- outcomes;
- provenance.
23.76.14. Replay Checkpoint
Long-running replay MAY create governed checkpoints.
A checkpoint SHALL preserve:
- Replay Identifier;
- event position;
- reconstructed state fingerprint;
- Runtime Bundle;
- consumer versions;
- time;
- integrity;
- provenance.
23.76.15. Replay Failure
Replay failure SHALL preserve:
- failed event;
- consumer;
- state before failure;
- error;
- retry eligibility;
- quarantine state;
- affected scope;
- provenance.
23.76.16. Poison Event
An event that repeatedly prevents replay MAY be classified as a Poison Event.
Treatment MAY include:
- quarantine;
- schema migration;
- correction event;
- manual remediation;
- consumer fix;
- controlled skip with explicit qualification.
A skipped event SHALL never be concealed.
23.76.17. Replay Outcome
Every replay SHALL produce:
- Replay Outcome Identifier;
- source event range;
- source snapshot;
- Replay Context;
- processed events;
- skipped events;
- failed events;
- resulting state fingerprint;
- divergence;
- side-effect status;
- completeness;
- explanation;
- provenance.
23.76.18. HECATE Validation
HECATE SHALL validate:
- replay authority;
- Replay Context;
- source integrity;
- event completeness;
- event order;
- consumer compatibility;
- Runtime Bundle compatibility;
- side-effect isolation;
- replay outcome;
- divergence analysis;
- provenance.
23.77. Event Provenance
Event Provenance is the complete governed lineage explaining who or what produced a Constitutional Event, under which authority, from which prior state, within which Runtime Context, through which Runtime Component and with which downstream effects.
Event Provenance SHALL be captured when the event is produced.
23.77.1. Provenance Scope
Event Provenance SHALL include, where applicable:
- Event Identifier;
- Event Type;
- Event Schema and version;
- event time;
- effective time;
- valid time;
- transaction time;
- ingestion time;
- processing time;
- producer;
- actor;
- authority;
- tenant;
- jurisdiction;
- Runtime Context;
- Context Fingerprint;
- Runtime Bundle;
- Runtime Manifest;
- Execution Identifier;
- Session Identifier;
- Transaction Identifier;
- subject;
- prior state;
- resulting state;
- causation;
- correlation;
- payload fingerprint;
- signatures;
- trust state;
- delivery history;
- consumption history;
- replay history;
- correction history;
- retention state.
23.77.2. Producer Lineage
Producer lineage SHALL preserve:
- owning Module;
- producing Component;
- Component version;
- deployment identity;
- compiler lineage;
- Runtime Bundle;
- authority;
- tenant;
- security profile.
23.77.3. State-Transition Lineage
Where an event represents a state transition, provenance SHALL identify:
- prior state;
- transition rule;
- authority;
- validation result;
- resulting state;
- transaction;
- side effects.
23.77.4. Causal Lineage
Causal lineage SHALL distinguish:
- directly caused by;
- triggered by;
- responded to;
- compensates;
- corrects;
- supersedes;
- revokes;
- derived from;
- correlated with.
Correlation SHALL not be represented as causation.
23.77.5. Delivery Lineage
Delivery lineage MAY preserve:
- publication endpoint;
- partition;
- broker offset;
- delivery attempt;
- consumer;
- acknowledgement;
- retry;
- dead-letter routing;
- replay status;
- processing result.
Operational delivery metadata SHALL remain distinguishable from constitutional event semantics.
23.77.6. Consumption Lineage
Every constitutionally significant event consumption SHOULD preserve:
- consuming Component;
- consuming Module;
- consumer version;
- Runtime Bundle;
- consumption time;
- result;
- state transition;
- side effects;
- idempotency result;
- provenance.
23.77.7. Correction Lineage
Corrected, superseded or revoked events SHALL preserve links to:
- original event;
- correction event;
- correcting authority;
- reason;
- effective correction time;
- transaction time;
- affected consumers;
- affected outcomes;
- provenance.
23.77.8. Replay Lineage
Replay lineage SHALL preserve:
- source event;
- Replay Identifier;
- Replay Type;
- Replay Context;
- replay consumer;
- replay outcome;
- divergence;
- side-effect policy;
- provenance.
23.77.9. Event Integrity
Integrity mechanisms MAY include:
- content hashes;
- hash chains;
- digital signatures;
- trusted timestamps;
- append-only logs;
- transparency logs;
- consensus-backed ledgers;
- hardware-backed attestations;
- replicated event stores.
The selected mechanism SHALL match constitutional significance.
23.77.10. Event Signature
Where events are signed, the Runtime SHALL preserve:
- signer;
- signing authority;
- signed scope;
- algorithm;
- certificate chain;
- signature time;
- trust anchor;
- revocation status;
- verification result.
23.77.11. Event Provenance Completeness
Completeness MAY be classified as:
- complete;
- complete with controlled redaction;
- partially complete;
- materially incomplete;
- reconstructed;
- disputed;
- unavailable.
Materially incomplete provenance SHALL prevent unqualified high-assurance use.
23.77.12. Event Provenance Query
The Runtime SHALL support queries including:
- who produced this event;
- under which authority;
- which subject changed;
- what prior state existed;
- which execution caused the event;
- which Component emitted it;
- which consumers processed it;
- which outcomes depended upon it;
- whether it was replayed;
- whether it was corrected;
- whether delivery was duplicated;
- whether it crossed tenant or jurisdiction boundaries.
23.77.13. Event Provenance Retention
Retention SHALL be governed by:
- Event Type;
- constitutional significance;
- legal obligation;
- reporting obligation;
- assurance requirement;
- tenant policy;
- privacy;
- legal hold;
- replay requirement;
- security classification.
23.77.14. Event Provenance Redaction
Redaction SHALL preserve:
- event identity;
- redaction fact;
- redacting authority;
- legal or policy basis;
- redacted scope;
- integrity of remaining lineage;
- controlled access path;
- provenance.
23.77.15. Event Provenance Export
Event Provenance MAY be exported for:
- internal audit;
- external assurance;
- regulatory review;
- incident investigation;
- dispute resolution;
- scientific reproducibility;
- customer review;
- operational debugging.
Exports SHALL preserve identity, integrity, scope, redaction state and provenance.
23.77.16. Temporal and Event Diff
The Runtime SHOULD support semantic comparison of:
- temporal state;
- event streams;
- event order;
- event schemas;
- producer versions;
- Runtime Bundles;
- correlations;
- causation;
- replay outcomes;
- provenance.
23.77.17. Event Impact Analysis
Changes, corrections or revocations SHALL support impact analysis over:
- Runtime State;
- Derived Assertions;
- Validation Outcomes;
- calculations;
- reports;
- disclosures;
- publications;
- workflows;
- assurance conclusions;
- tenants;
- Modules;
- Components.
23.77.18. Event Observability
Operational metrics MAY include:
- event volume;
- event latency;
- event-time lag;
- ingestion lag;
- processing lag;
- out-of-order rate;
- duplicate rate;
- sequence-gap rate;
- replay rate;
- poison-event rate;
- correction rate;
- consumer failure rate;
- watermark delay.
Metrics SHALL not alter constitutional event semantics.
23.77.19. Pergamum Pulse Integration
Pergamum Pulse MAY derive intelligence including:
- temporal drift;
- late-event concentration;
- repeated corrections;
- event-source reliability;
- consumer reliability;
- causal hotspots;
- cross-Module event dependencies;
- stale event consumers;
- replay divergence;
- authority events near expiration;
- policy-transition risk;
- reporting-period anomalies;
- supply-chain event gaps;
- event provenance weakness.
Pergamum Pulse SHALL preserve:
- Module lineage;
- Component lineage;
- Event Type lineage;
- subject lineage;
- execution lineage;
- transaction lineage;
- temporal lineage;
- correlation lineage;
- causation lineage;
- Runtime Bundle lineage;
- tenant isolation;
- provenance.
Derived intelligence SHALL remain Intelligence Layer assertions until governed activation.
23.77.20. Temporal and Event Conformance Suite
The Constitutional Compiler Framework SHOULD generate a Temporal and Event Conformance Suite containing:
- effective-time boundary cases;
- valid-time overlap cases;
- transaction-time correction cases;
- bitemporal query cases;
- time-zone transition cases;
- calendar cases;
- uncertain-time cases;
- late-event cases;
- out-of-order cases;
- duplicate-delivery cases;
- sequence-gap cases;
- correlation cases;
- causation cases;
- replay cases;
- poison-event cases;
- tenant-isolation cases;
- historical reconstruction cases;
- future-evaluation cases;
- provenance cases.
Part VII Conformance
A Constitutional Runtime Framework implementation conforms to Part VII where it:
- treats time as constitutional data rather than implicit infrastructure state;
- distinguishes effective, valid, transaction, observation, event, ingestion, processing, publication and reporting time;
- identifies the Clock Source used by authoritative execution;
- preserves time zones, calendars, precision, granularity and temporal uncertainty;
- evaluates effective-time applicability independently from transaction time;
- preserves late-arriving facts and retroactive corrections without rewriting history;
- supports bitemporal queries and historical reconstruction;
- distinguishes originally recorded historical state from later corrected historical understanding;
- classifies future outcomes as scheduled, forecast, proposed, hypothetical or scenario-based;
- represents constitutionally significant changes as immutable Constitutional Events;
- validates Event Types and Event Schemas through HECATE;
- preserves event authority, subject, tenant, context, correlation and causation;
- distinguishes event time, transaction time, ingestion time and processing time;
- distinguishes total, partial, causal and processing order;
- handles late and out-of-order events through explicit policy;
- prevents duplicate delivery from creating duplicate constitutional effects;
- distinguishes correlation from causation;
- supports isolated, side-effect-controlled event replay;
- supports replay divergence analysis and reconstruction from snapshots plus events;
- preserves correction, supersession, revocation and compensation lineage;
- preserves complete Event Provenance;
- supports temporal and event diff, impact analysis and observability;
- preserves both Module and Component lineage;
- prevents mutable current state from replacing historical event and transaction lineage;
- prevents simulation time, replay time or future evaluation from being represented as current constitutional fact.
Part VII Foundational Principle
Temporal and Event Runtime is the governed constitutional mechanism through which ZAYAZ determines when knowledge, policies, evidence, authority and runtime state apply, and through which every constitutionally significant occurrence is represented as an identifiable, immutable and replayable event.
Effective time SHALL determine when constitutional knowledge governs. Valid time SHALL determine when represented facts apply in the represented world. Transaction time SHALL preserve when ZAYAZ recorded or changed that knowledge. Event time, ingestion time and processing time SHALL remain distinct. Historical corrections SHALL create new lineage rather than erase prior state. Future evaluations SHALL remain explicitly classified as scheduled, forecast, proposed, hypothetical or scenario-based.
Every Constitutional Event SHALL preserve its Event Type, schema, subject, producer, authority, Runtime Context, Clock Source, temporal dimensions, transaction, correlation, causation, Runtime Bundle, Module lineage, Component lineage, delivery history, replay history and complete provenance. Correlation SHALL not imply causation. Broker order SHALL not silently become constitutional order. Duplicate delivery SHALL not create duplicate semantic effects.
By making time explicit and events immutable, ordered, correlated, replayable and provenance-preserving, ZAYAZ enables reliable historical reconstruction, future planning, regulatory restatement, continuous assurance, event-driven workflows and distributed ESG intelligence without sacrificing constitutional integrity or auditability.