Status: STRUCTURAL GENERALIZATION PASSED for the three tested delimited schemas; broader Context reading remains unqualified. Run: context-kv-slot-structural-v1-20260926 Training: none; the V1 slot reader, active Context-native candidate, Context Encoder, Context Access layers, and Foundation stayed frozen.

Result

The frozen 74,369-parameter key/value addressor generalized from its trained key=value|key=value serialization to two new runtime formats:

Implementation code and detailed machine records are retained separately. This public edition presents the study methods, aggregate results, and qualification boundaries.

and:

Implementation code and detailed machine records are retained separately. This public edition presents the study methods, aggregate results, and qualification boundaries.

The parser for each declared format converted the visible syntax into the same typed candidate-slot interface. The learned addressor still selected the record; the selected value tokens were then passed through the existing Foundation value-view adapter.

Across 1,512 untouched sealed examples, slot selection and exact value copying were 1,510/1,512 (99.87%). Final generated answers were 1,472/1,512 (97.35%). All three format families exceeded 99% address/copy accuracy and 95% final-answer accuracy. The active Context candidate and qualified Foundation parent remained bit-identical, and Direct Context Transfer remained 499/512 (97.46%).

This is a zero-shot format-generalization result for these three simple, delimited key/value schemas. It is not qualification of natural-language records, arbitrary nested data, multi-Drone behavior, or the full Context architecture.

Modular hybrid

The read path now has explicit replaceable boundaries:

Implementation code and detailed machine records are retained separately. This public edition presents the study methods, aggregate results, and qualification boundaries.

KVSlotParser owns only syntax segmentation. The line-colon parser can trim structural whitespace and accept a terminal newline; the line-tab parser recognizes newline records with tab-separated fields. Neither parser sees the query or chooses a slot. The shared V2-A late-interaction addressor scores the query against key-token representations. KVSlotView carries source identity, record index, key/value token IDs, and original C1 coordinates. The value is copied only after the neural selection. FoundationValueViewAdapter remains a separate boundary that packages the copied bytes in the frozen model's trained VALUE / NOTE / STATUS format.

The change is an original EMMA implementation. It uses the addressing/value separation from Key-Value Memory Networks and the token-level late-interaction idea associated with ColBERT as research references. No upstream source code, weights, or dependencies were copied.

Protocol and data

The candidate reader and Foundation were verified before data creation:

Fresh sealed identities were locked before development scoring. The sealed set contains 1,512 queries across 504 counterfactual Context groups, with 504 examples in each schema family and 56 groups of each record count (2, 3, and 4) per family. Identities were disjoint from the previous slot-reader run. Development contains 540 examples per schema family, also with balanced record-count groups.

Sealed set SHA-256:

Implementation code and detailed machine records are retained separately. This public edition presents the study methods, aggregate results, and qualification boundaries.

Development results

All formats passed the predeclared development gates: at least 97% slot selection, 95% complete counterfactual groups, and 95% final answers. No model training or candidate selection used sealed results.

Sealed results

Final-answer accuracy by record count:

Runtime, restoration, and integrity

The fresh-process restore check used 64 fixed development examples per format. For all 192 examples, the public single-query API reproduced the batched selector's chosen slot, copied bytes, and original source offsets. The Foundation value-view adapter reproduced the existing serializer exactly in all three formats.

After evaluation, checksums were unchanged:

• Active Context-native candidate: [checksum retained in the private evidence record].
• Qualified Foundation parent: [checksum retained in the private evidence record].
• KV reader artifact: [checksum retained in the private evidence record].
• KV reader tensor checksum: [checksum retained in the private evidence record].

The lightweight identity generator encountered a full two-byte key pool in historical identity firewalls. The old helper chose one key length before retrying, which could incorrectly report exhaustion while longer lengths remained available. This experiment uses a local generator that re-samples length on each attempt; the prior generator and model were not changed.

Focused tests: 18 passed across the KV slot interfaces, structural data generator, query-copy reader, and retrieval module tests. Python compilation passed. A warning remains in the repository virtual environment because NumPy is absent; the reader checksum now uses PyTorch's byte view and does not depend on NumPy.

Limitations and follow-up

The result confirms the hybrid split for explicit key/value records:

• known runtime syntax creates candidate slots;
• a small learned module selects the key match;
• source offsets retrieve the paired value exactly;
• a separate adapter presents that value in the format the frozen Foundation can use.

The next test should add one more genuinely different record structure through a new parser plug-in—such as named fields with reordered key/value fields—while holding the learned addressor and Foundation adapter fixed. It should also vary the query wording separately from the Context serialization. Those tests will distinguish parser coverage from query/key semantic generalization.

Multi-Drone routing, Global Context, movement, and Memory integration remain outside this qualification. They require a broader, independently measured single-source read boundary.

Machine-readable evidence is in [retained internal evidence].