DatasetDAT-2026-0201v0.1

Phase I released features — company panel, README pass and surface matrix

Feature-only evidence of the frozen 60-repository panel: 180 surface-matrix cells with neutral identifiers, the bridge aggregate and the README pass. No identity, path or source text.

Research status: STABLE the current conclusions are relatively stable
Evidence level: E2 Controlled experiment
Data basis: BLIND PUBLIC DATA Real public files measured by an algorithm inside a sealed process. No person and no AI model read them; only coded features left the process. The numbers may be distorted.
Version: 0.1
Updated: 2026-10-13
Created: 2026-09-22
Domain: Privacy
Program: PRG-2026-0201 AI Agent Publication Boundary and Security Closure (APBSC)
Authors: Neo.K (EveMissLab)
AI collaborators: ChatGPT (OpenAI) — RBPM v0.8.3 instrument and its Phase I evidence packages

Licence

license: CC BY 4.0

Format and size

format: JSON / JSONL, closed vocabulary

Download

repository: https://github.com/EveMissLab/apbsc-rbpm

Recorded fields

known_limitations: Non-probability frames; not prevalence.
No finding was checked by a human.

Relations

Source	Relation	Target	Status	ID
`EXP-2026-0201` Phase I company and bridge measurements (2026-09-20 to 2026-09-22)	`produced`	`DAT-2026-0201` Phase I released features — company panel, README pass and surface matrix	`ACTIVE`	`REL-2026-0572`

History and provenance

Canonical URL

https://evemisslab.com/ai/data/DAT-2026-0201/

Machine-readable

/ai/data/DAT-2026-0201/index.json

Snapshot

AI-SNAPSHOT-v0.1-58e716495670

Provenance

source: EveMissLab research collection: AI Agent Publication Boundary and Security Closure (真本體論14)
extracted_by: Splice (Claude Code), reading the open-source release's own manifests, locks and pooled outputs, and the hashes of the internal drafts
extracted_at: 2026-10-13
generator: tools/extract_all.py
claim_boundary: status, evidence level and result type follow the source artifact's own stated claim boundary; nothing is upgraded beyond what the report supports