Context Drone Architecture
Context Drones and Global Context retain separate state, identity, lifecycle, and projection boundaries. Infrastructure checks do not establish broad behavioral qualification.
Date: 2026-09-21 Status: IMPLEMENTED — FULL BEHAVIORAL QUALIFICATION PENDING
Foundation 001.x was verified unchanged with SHA-256 [checksum retained in the private evidence record]. Adaptive units and persistent memory remain separate and unchanged.
The implementation uses one shared transformer and independent context state: four local ContextDroneWindow instances plus one independent global window G. Each owns its token buffer, latent state, scope, focus/source, lifecycle, version, timestamp, and checksum. Reads normalize each context independently before bounded residual fusion. G_self remains independent; local projections are temporary fusion inputs.
Qualification evidence is in [retained internal evidence]:
- Four local drones plus G coexist: PASS.
- Selected-context accuracy: 100%.
- Reset/update isolation and movement/focus isolation: PASS.
- Global independence and global projection/fusion: PASS.
- Transformer read effect and disable control: PASS.
- Separate context serialization/restore: PASS.
- Foundation hash integrity: PASS.
- Serialized context state: 9,956 bytes for the fixture.
No model checkpoint or adaptive-unit binary was created. No dynamic routing, autonomous movement, sparse attention, RL, credit assignment, or inter-agent communication was implemented.
This record establishes engineering behavior only. It does not qualify Context Drone V1 for task-level behavioral claims. Cross-feature coexistence with Memory V1 is evaluated separately.
Behavioral qualification
The required sealed probe was run against the current Foundation with 500 procedural cases and no benchmark-side answer resolution. It used the actual Context read/fusion path and compared final model output tokens:
| Family | n | Final exact accuracy |
|---|---|---|
| Perspective isolation | 500 | 0.2% |
| Complete multi-view | 500 | 0.2% |
| Blind-spot control | 500 | 0.2% |
The probe confirms the current Context implementation changes the runtime hidden state, but its residual representations are not a trained semantic answer interface. The required perspective, contradiction, complementary reasoning, blind-spot, global/local, movement, source-composition, and causal final-output gates were therefore not met. The benchmark evidence is recorded in [retained internal evidence].
Final status: IMPLEMENTED — FULL BEHAVIORAL QUALIFICATION PENDING.
No Context redesign, routing, Foundation training, Memory change, or adaptive unit change was made during this qualification attempt.
SOURCE PROVENANCE
EMMA LABS — Parallel Context Drone Architecture V1
LABORATORY REPORT / 2026-09-21SOURCE CHECKSUM / SHA-256
cddeb78819b9eda4eeff05d1f2d998e0bfd4012f0e964046bfc2af8b5ffb6589Public journal edition reviewed 2026-10-01. Source documents and saved evidence were inspected; experiments were not rerun for this edition. Proprietary implementation code, model binaries, private infrastructure, and detailed machine records are not published here. Journal identifiers are editorial references. Catalog inclusion does not imply qualification or runtime promotion.