THX-01 / VERIFIABLE LEARNING & REGRESSION MEMORY COURT

Learn forever.
Forget no failure.
Trust no lesson.

Helix turns signed outcomes into challenged memory candidates. Five hypotheses compete; privacy, poisoning, contradiction and regression guards decide what survives. Nothing updates a model or policy until a human promotes it.

1COLLECT

2NORMALIZE

3REDACT

4RECONSTRUCT

5CHALLENGE

6COMPARE

7VERIFY

8AUTHORIZE

9SEAL

10LEARN

MEMORY
UNPROMOTED

HYPOTHESES5

MEMORY STAGES10

ADVERSARIAL TESTS10

POLICY GATES12

SIGNED MEMORIES0

01 / PROPOSE VERIFIED LESSONNO WEIGHT UPDATE

What should the
system remember?

LEARNING DOMAINMEMORY CLASS

LESSON TAGREDACTED LESSON SUMMARY

SOURCE RECEIPT / SHA-256VERIFIED OUTCOME / SHA-256REDACTION PROOF / SHA-256

EVIDENCE / 8CONFIDENCE / 85%MAX SCOPE / 4RETENTION / 365D

01AUTHORITY◆

02EVIDENCE◆

03REDACTION◆

04CAUSALITY◆

05CONTRADICTION◆

06POISONING◆

07REGRESSION◆

08ASSURANCE◆

09POLICY◆

10SCOPE◆

11HUMANITY◆

12EXPOSURE◆

MEMORY PRINCIPALcheckingDEVICE-BOUND / HUMAN PROMOTION / REPLAY-SAFE

I authorize evidence-memory analysis only. Helix may not ingest private material, update model weights, mutate policy, deploy, act or promote itself.

02 / SIGNED MEMORY CANDIDATEAWAITING LESSON

Memory must
earn permanence.

Bind a redacted outcome to its source receipt, then challenge it against poisoning, contradiction, privacy and regression loss.

What should thesystem remember?

Memory mustearn permanence.

What should the
system remember?

Memory must
earn permanence.