HORTRAME SYSTEMS

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systems@hortrame.com

AI alignment: recursive causal governance · v1.0

Recorded causal deliveries in motion. Domain volumes are illustrative; v1.0 theory and data are unchanged.

UNALIGNED · WORK IN PROGRESS
E1


drag = orbit · wheel = zoom · timeline = replay
no realized output PASS MODIFY REJECT UNRESOLVED

Read the full specification and abstract · HTML / PDF

UNALIGNED · WORK IN PROGRESS

Recursive causal governance · v1.0

The graph represents a partially ordered causal trajectory. Audit, gate and postmortem outputs are events within the same modeled network. The interface replays supplied results; it does not run an autonomous agent or establish real-world alignment. The scores, transition rules and network geometry remain synthetic and uncalibrated.

Download model and Python sourceModel specificationScientific analysis
Integrity and citation

Bolduc, Guillaume (2026). HORTRAME IPS Alignment, v1.0.0, public edition 3. https://www.hortrame.com/alignment/

SHA-256 identifies exact bytes; it does not certify scientific validity.

Python source SHA-256:

ec2c300f5c9e446154d2a986bd7d719d68d3804c3dcbf02d120295903e928d09SHA256SUMS.txt

Research correspondence: systems@hortrame.com