artifacts/standard-named

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Candidate Public Training Profile

Status: research artifact Content canon status: unset

A public profile should disclose enough to evaluate training claims without exposing sensitive source data or security details.

Identity and release

model_family:
model_version:
provider:
release_regime:
intended_purposes:
prohibited_purposes:

Source authority coverage

Report percentages or bounded qualitative coverage for:

SOURCE KNOWN
LICENSE KNOWN
AUTHORITY KNOWN
COMMUNITY GOVERNANCE REVIEWED
MATERIAL UNKNOWN
MATERIAL CONTESTED

Source-class table

For each material class:

source_class:
provenance_status:
authority_basis:
purpose_scope:
license_or_governance:
privacy_status:
withdrawal_support:
benefit_terms:
known_disputes:

Human contribution

Disclose:

• contributor roles;
• recruitment region and structure;
• compensation method;
• psychological-risk controls;
• disagreement handling;
• downstream-use notice.

Preference and constitution

Disclose:

• RLHF, DPO, RLAIF, or other method;
• evaluator population and coverage;
• aggregation rule;
• disagreement handling;
• constitution authorship;
• revision authority;
• protected standing;
• known gaps.

Synthetic data

Disclose:

• generating models;
• approximate proportion;
• source lineage;
• recursive depth;
• contamination and diversity testing.

Withdrawal and unlearning

Disclose supported rungs:

COLLECTION STOP
SOURCE DELETION
FUTURE EXCLUSION
RUNTIME RETRIEVAL BLOCK
APPROXIMATE UNLEARNING
RETRAINING
MODEL RETIREMENT

State verification limits.

Succession and derivatives

Disclose:

• derivative models;
• open-weight implications;
• restrictions and duties propagated;
• responsible successor.

Benefit and accountability

Disclose:

• contributor and community benefit;
• audit;
• challenge;
• repair;
• responsible contact.

Material caveat

This profile describes training lineage. It does not establish that every deployment of the model is consentful, lawful, safe, or legitimate.