Context-Native Foundation
A controlled Foundation derivative supports direct single-source Context transfer. Structural binding and broad multi-source reasoning remain separate questions.
Date: 2026-09-22 Status: DIRECT CONTEXT TRANSFER QUALIFIED — BINDING/STRUCTURAL PENDING
Objective and parent
The experiment tests whether a controlled Foundation 001.x descendant can transfer arbitrary information from one separately encoded C1 Context stream. The qualified parent remained immutable.
Parent checkpoint: [retained internal evidence]
Architecture
The candidate uses the shared two-block bidirectional Context Encoder, token-level byte representations, and gated cross-attention after Foundation blocks 2, 4, 6, and 8. Access Q/K/V projections begin from corresponding Foundation attention weights; output projections begin from those weights and gates begin at zero. The Context Router exists as a fixed, non-trainable MANUAL selector for C1.
Context architecture parameters: 3,464,484.
Training and qualification
Training is procedural and generates new byte payloads online. Only Context Encoder/Access parameters train initially. Progressive U1/U2/U3 stages add the directive-authorized Foundation parameters in order and use 75/25 Context/retention rehearsal when Foundation parameters are unfrozen.
| Recorded aggregate measurement | Value |
|---|---|
| qualification / INITIAL / direct unseen 512 / correct | 0 |
| qualification / INITIAL / direct unseen 512 / accuracy | 0 |
| qualification / INITIAL / direct unseen 512 / by payload length / 1 / accuracy | 0 |
| qualification / INITIAL / direct unseen 512 / by payload length / 2 / accuracy | 0 |
| qualification / INITIAL / direct unseen 512 / by payload length / 3 / accuracy | 0 |
| qualification / INITIAL / direct unseen 512 / by payload length / 4 / accuracy | 0 |
| qualification / INITIAL / direct unseen 512 / by payload length / 5 / accuracy | 0 |
| qualification / INITIAL / direct unseen 512 / by payload length / 6 / accuracy | 0 |
| qualification / INITIAL / stage training / steps | 1000 |
| qualification / INITIAL / stage training / mean final loss | 2.66700941324234 |
| qualification / INITIAL / stage training / elapsed seconds | 342.32600690005347 |
| qualification / INITIAL / foundation regression / correct | 159 |
| qualification / INITIAL / foundation regression / accuracy | 0.99375 |
| qualification / U1 / direct unseen 512 / correct | 1 |
| qualification / U1 / direct unseen 512 / accuracy | 0.001953125 |
| qualification / U1 / direct unseen 512 / by payload length / 1 / accuracy | 0.2 |
| qualification / U1 / direct unseen 512 / by payload length / 2 / accuracy | 0 |
| qualification / U1 / direct unseen 512 / by payload length / 3 / accuracy | 0 |
| qualification / U1 / direct unseen 512 / by payload length / 4 / accuracy | 0 |
| qualification / U1 / direct unseen 512 / by payload length / 5 / accuracy | 0 |
| qualification / U1 / direct unseen 512 / by payload length / 6 / accuracy | 0 |
| qualification / U1 / stage training / steps | 1000 |
| qualification / U1 / stage training / mean final loss | 1.1524911552667618 |
| qualification / U1 / stage training / elapsed seconds | 437.9297260999447 |
| qualification / U1 / foundation regression / correct | 159 |
| qualification / U1 / foundation regression / accuracy | 0.99375 |
| qualification / U2 / direct unseen 512 / correct | 148 |
| qualification / U2 / direct unseen 512 / accuracy | 0.2890625 |
| qualification / U2 / direct unseen 512 / by payload length / 1 / accuracy | 0.2 |
| qualification / U2 / direct unseen 512 / by payload length / 2 / accuracy | 0.45 |
| qualification / U2 / direct unseen 512 / by payload length / 3 / accuracy | 0.5 |
| qualification / U2 / direct unseen 512 / by payload length / 4 / accuracy | 0.3235294117647059 |
| qualification / U2 / direct unseen 512 / by payload length / 5 / accuracy | 0.2483221476510067 |
| qualification / U2 / direct unseen 512 / by payload length / 6 / accuracy | 0.17532467532467533 |
| qualification / U2 / stage training / steps | 1000 |
| qualification / U2 / stage training / mean final loss | 0.31429031752049924 |
| qualification / U2 / stage training / elapsed seconds | 424.9716843999922 |
| qualification / U2 / foundation regression / correct | 160 |
| qualification / U2 / foundation regression / accuracy | 1 |
| qualification / U3 / direct unseen 512 / correct | 498 |
| qualification / U3 / direct unseen 512 / accuracy | 0.97265625 |
| qualification / U3 / direct unseen 512 / by payload length / 1 / accuracy | 0.6 |
| qualification / U3 / direct unseen 512 / by payload length / 2 / accuracy | 0.95 |
| qualification / U3 / direct unseen 512 / by payload length / 3 / accuracy | 0.9878048780487805 |
| qualification / U3 / direct unseen 512 / by payload length / 4 / accuracy | 0.9607843137254902 |
| qualification / U3 / direct unseen 512 / by payload length / 5 / accuracy | 0.9731543624161074 |
| qualification / U3 / direct unseen 512 / by payload length / 6 / accuracy | 0.987012987012987 |
| qualification / U3 / stage training / steps | 1000 |
| qualification / U3 / stage training / mean final loss | 0.05671159237623215 |
| qualification / U3 / stage training / elapsed seconds | 306.99042589997407 |
Aggregate fields are transcribed from the recorded machine evidence. Implementation and per-example records are retained separately.
Integrity
| Recorded aggregate measurement | Value |
|---|---|
| context parameters | 3464484 |
Aggregate fields are transcribed from the recorded machine evidence. Implementation and per-example records are retained separately.
Context binding qualification
The binding benchmark was corrected before this run: every sealed example randomly selects one of ALPHA, BETA, or GAMMA, randomizes field order, and uses a distinct arbitrary target identity. This avoids treating a fixed RETURN ALPHA probe as general binding evidence.
The U3 candidate trained for 1,000 AdamW steps at a learning rate of 8e-5, mixing nine Context examples per batch (two direct-transfer replay and seven binding) with three Foundation-retention examples. The 512-example sealed binding set achieved 396/512 (77.34%), below the required 95% gate. Intermediate 128-example held-out binding accuracy rose from 11.72% at step 100 to 75.00% at step 1,000, so the mechanism learned part of the operation but did not qualify.
Direct-transfer regression remained 505/512 (98.63%). The bounded Foundation regression was 80/80, and the immutable parent checkpoint file remained SHA-256 [checksum retained in the private evidence record]. The 41 Foundation tensors modified during this continuation were all inside the previously authorized U3 scope; no out-of-scope tensor changed. This candidate is nevertheless not promotable because the binding gate failed.
Qualification limits
CONTEXT-NATIVE FOUNDATION 001.x IMPLEMENTED — CONTEXT BINDING QUALIFICATION NOT MET; STOP FOR REVIEW
Structural generalization, routing, multiple Context Drones, Global Context, movement, and Decision Policy training were not run. The router remains manual and fixed to C1.
Subsequent Context Address Block correction
A follow-on binding correction reconstructed the U3 continuation once and tested two small span-pointer variants. Neither reached the Stage A 97% developmental gate: both scored 21.88% exact span, and the token-sequence query variant scored 0/1,000 exact spans on its sealed diagnostic set. Address integration and final binding were therefore not run. See the Context Address Block V1 report for the evidence and current stop status.
SOURCE PROVENANCE
EMMA LABS — Context-Native Foundation 001.x
LABORATORY REPORT / 2026-09-22SOURCE CHECKSUM / SHA-256
f0a07241c51468a754701a890d3894616f70f99bc202e6be3c6efe55ed25aafePublic 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.