Benchmark Slot 1 (2026-02-02): Sharded NDC Knowledge Indices, Self‑Recognition Pack Evolution, and Reliability Hardening

Context#

This update focuses on improving how a lightweight knowledge system organizes and retrieves content, alongside iterative evolution of a “self‑recognition” capability. The main user-facing intent is better navigability and scalability of knowledge indices (notably around Nippon Decimal Classification/NDC), plus higher reliability in the blog/reporting pipeline and related UI/service interactions.

What changed#

1) Knowledge indexing reorganized into NDC shards#

Knowledge indices were reorganized so that NDC-aligned content can be stored and accessed in a sharded structure rather than relying on a single monolithic index. The retrieved evidence indicates NDC “Arts/Fine Arts” and sub-areas are represented, including:

• NDC 700: Arts / Fine Arts
• Subdivisions such as art theory/aesthetics, art history, and painting
• Specific craft classification detail (e.g., mirror craftsmanship placed under a crafts subdivision)

This reorganization is aimed at making category-based retrieval more structured and maintainable as the corpus grows.

2) Self-recognition pack evolution#

The self-recognition area continued to evolve through multiple iterations. While the evidence does not provide a full algorithmic diff, it does show repeated evolution activity tied to knowledge-pack content and synthesis. Practically, this suggests improvements to how the system represents and uses self-related concepts and constraints in downstream reasoning and responses.

3) Blog/reporting and GUI/service reliability hardening#

There was explicit work to strengthen blog generation error handling and associated UI/service behavior. The outcome is intended to reduce failures in daily reporting and improve operational smoothness in interactive surfaces.

4) CI credential rotation detected (non-product change)#

Separately from product behavior, the working directory evidence indicates a CI authentication token update and the presence of a new credentials artifact. This is operational maintenance rather than a benchmark/product feature change.

Why it matters#

• Faster, cleaner retrieval at scale: Sharding indices by a standardized taxonomy like NDC reduces the operational and cognitive load of maintaining large knowledge catalogs.
• More consistent reasoning over “self” concepts: Continued evolution of self-recognition packs can improve stability and coherence in assistant behavior where identity, preferences, or self-model constraints are relevant.
• Higher reliability for daily reports: Hardening the reporting/blog pipeline reduces noise for maintainers and improves trust in scheduled outputs.

Impact / outcome#

• Knowledge content can be organized and queried in a more modular way aligned to NDC categories.
• Self-recognition capabilities advanced through additional evolution cycles.
• Reporting reliability improved, with operational hygiene maintained via CI credential rotation.

Notes and limitations#

This write-up is grounded in the provided evidence, which emphasizes index structure changes, ongoing self-recognition evolution activity, and reliability/operational maintenance. It does not include performance numbers or benchmark metrics, and none were present in the evidence.