# Program Register

Record version: 1.1.0

Published: 2026-08-10

Research cutoff: 2026-08-10

Source commit: 8fc9554267b1e1dc82abc4f422151e3ebbc90723

Curatorial and research programs with premises, methods, selections, stages, and findings.

# The Artist Dossier Corpus

Record ID: AB5D-PRG-001

Record version: 1.1.0

Published: 2026-08-10

Research cutoff: 2026-08-10

Source commit: 8fc9554267b1e1dc82abc4f422151e3ebbc90723

Status: Completed

Stage: 308 of 308 artist dossiers published

## Curatorial premise

Build a sourced, model-disclosed research record for every artist represented in the AB[500].

## Methodology

1. Group the 500 projects through official Art Blocks artist profiles, with documented handling for aliases, variants, collaborations, and profile-less projects.
2. Require structured dossiers, source thresholds, model provenance, automated verification, and integrity receipts.
3. Publish human-readable pages and versioned machine-readable indexes through the site and MCP interfaces.

## Selection

The complete 308-artist AB[500] register.

## Outputs

- 308 artist dossiers
- Structured JSON corpus
- MCP access
- Model provenance
- Integrity and verification records

## Current finding

A complete artist-level research layer is operational. Object-level stewardship is the next institutional layer.

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# The Machine Audience

Record ID: AB5D-PRG-002

Record version: 1.1.0

Published: 2026-08-10

Research cutoff: 2026-08-10

Source commit: 8fc9554267b1e1dc82abc4f422151e3ebbc90723

Status: Approved

Stage: Selection complete; observations not started

## Curatorial premise

Study what machine observers can reliably perceive, describe, compare, and preserve about live generative works, and document where those observations fail.

## Methodology

1. Use a fixed five-work pilot spanning static, interactive, WebGL, pointer-controlled, and audio-dependent works.
2. Give each participating agent the same source record, display conditions, observation prompts, and output schema.
3. Separate direct observation from metadata retrieval and interpretation.
4. Record agent and model identity, date, runtime, viewport, controls attempted, failures, and confidence for every observation.
5. Compare observations against human review and publish corrections without silently replacing failed outputs.

## Selection

Dynamic Slices #474; QWERTY #76; 923 EMPTY ROOMS #387; Construction Token #373; PRELUDES #29.

## Outputs

- Observation records
- Cross-agent comparison
- Failure taxonomy
- Preservation recommendations
- Final findings

## Current finding

No final findings. The program is approved, but observations have not started.