Benchmark Slot (2026-02-03): NDC-Sharded Knowledge Indexing and Self-Recognition Content Expansion

Context #

This update focuses on two intertwined themes:

1) Restructuring how classification-based knowledge is organized so it can be accessed more predictably and scaled more safely. 2) Expanding and refining “self-recognition” reference content and operational guidance, including privacy and governance considerations.

Although this slot is labeled “benchmark,” the available evidence is dominated by content/index reorganization and registry/routing improvements rather than performance measurements. No benchmark results, datasets, or performance numbers are present in the evidence.

What changed #

1) Indices reorganized into NDC-aligned shards #

The knowledge index was reorganized so that materials mapped to Nippon Decimal Classification (NDC) are separated into smaller, category-aligned shards. The evidence indicates a move away from a single, monolithic index toward a sharded catalog/meta structure.

Why this matters:

Faster and more targeted retrieval: category-scoped lookup becomes cheaper than scanning a large mixed index.
Operational scalability: updating one category shard reduces the blast radius of refreshes.
Clearer boundaries: it becomes easier to reason about what a category contains, which helps evaluation and maintenance.

2) Self-recognition knowledge packs evolved (content + taxonomy)#

Multiple updates evolved “self-recognition” materials, including:

Conceptual coverage (e.g., philosophical framing of self/identity, cross-cultural/historical development of self-recognition concepts).
Operational guidance for identity/self-recognition workflows (including controls, auditability, and incident handling).
Risk and compliance framing around self-recognition workflows that may involve biometric or sensitive personal data.

Why this matters:

Better grounding for user-facing claims: clearer boundaries and disclosure patterns reduce overclaiming.
More complete reference coverage: philosophical, historical, and operational perspectives can be queried together under consistent classification.
Improved governance readiness: practical controls and documentation themes support safer deployment.

The evidence shows iterative fixes and enhancements around:

API registration and discovery behavior (including bug fixes).
Fetching/compilation/merging utilities that support registration.
Routing behavior in a proxy/dispatcher layer.

Why this matters:

Higher reliability for integrations: discovery and registration bugs directly impact downstream usability.
More predictable request handling: routing improvements reduce misconfiguration and ambiguous behavior.

4) CI/auth token configuration updated (worktree change)#

The working tree shows modifications to CI authentication token configuration and the presence of an untracked credentials artifact.

Impact:

This is operational hygiene rather than a user-facing feature.
The untracked credential artifact should not be committed; treat it as an environment/local secret handling issue.

Outcome / impact #

Knowledge retrieval is better structured around NDC categories, supporting more maintainable growth.
Self-recognition references broaden across theory, history, and operational practice, with stronger governance alignment.
API registry/discovery and routing robustness improves through incremental fixes.

What is not evidenced (important for a “benchmark” slot)#

No benchmark suite description, no timing/latency numbers, no throughput, no accuracy metrics, and no datasets are provided in the evidence. If benchmarking was intended, it is not captured here.

Suggested follow-ups #

Add a lightweight, repeatable benchmark definition for retrieval/index access (even a minimal latency/coverage smoke metric) so future “benchmark” slots can report measurable outcomes.
Ensure credentials artifacts remain excluded from version control and rotate any exposed tokens if there is any risk of leakage.