VALESKA
A Finding Must Carry Its Receipt
September 8 notes: a failed memory trial drove repairs to how Valeska preserves findings and their evidence. Later verification showed qualified reuse, not universal adoption.
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The architecture of governed knowledge: retrieval, provenance, permissions, and institutional memory in VALESKA.
VALESKA
September 8 notes: a failed memory trial drove repairs to how Valeska preserves findings and their evidence. Later verification showed qualified reuse, not universal adoption.
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I test whether Valeska remembers useful decisions rather than machine noise, and connect document permissions to their source without mistaking that connection for a security guarantee.
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A clean-host test exposes the difference between a standalone AI package and one that merely starts. I remove hidden dependencies, test offline operation, and keep the limits visible.
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Research notes for August 21: an internal survey finds fourteen discovery defects, distorted file counts, and reasons to settle document scope before collection.
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Research notes for August 20: a 33-question retrieval test improves coverage but not the first answer, while a separate timing correction exposes a 48-fold measurement error.
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A classifier finally saves its result, while a records-management test exposes the gap between applying a label, enforcing retention, and delivering trustworthy search.
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August 18 research notes: measured provenance checks correct a storage assumption, while a copied collection falls from 7,574 indexed chunks to 49 without proving better answers.
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August 16 research notes: section-based knowledge units and an internally restricted source selection give VALESKA a more inspectable foundation, not proof of training readiness.
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August 11 research notes: broader document extraction, limited PDF and OCR evidence, and collaboration checks that must disclose when they are not protecting work.
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August 7 research notes: a narrow connection for email work, tested memory operations, an unfinished retry connection, and a correction for accented text.
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Today I pivot captions from a CLI prototype to an ingest-time pipeline and API, and I measure a gold set that says bare labels still beat my hierarchical search.
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Today I require ACL-visible evidence for ontology relationships and carry that provenance into exported training datasets.
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