Coherent Values, or the Frame That Asked? From Preference Transitivity to Identifiability
Alex Kwon
Submitted to Digital Minds Research Sprint. Sprint projects are early-stage work by participants, not Apart Research publications.
Reframing a question reverses up to 52% of a model's strongly-held pairwise preferences, and 29% under near-deterministic decoding, while transitivity, the coherence criterion behind claims of emergent value systems, registers nothing. Five models, a frozen 45-pair battery, eight frames, no LLM judge. We propose an identifiability gate separating coverage from coherence, validated on four agents whose mechanism we set: up to 40% of a preference graph is not attributable to the model at all.
Reviews
The rigor here really stands out! Preregistering before the first run, no LLM judges anywhere, and openly listing which claims you did not show.
Thoughts :
- Only 2 of 5 models clear the noise floor, and "up to 52%" seems stronger than warranted.
- 3 repeats is the binding constraint, your own validation shows sensitivity jumps from 0.67 to 1.00 at 5 repeats, so more repeats would help a lot?
- Would love to see a second domain dataset beyond charity choices.
Cite this project
@misc{kwon2026coherent,
title = {{Coherent Values, or the Frame That Asked? From Preference Transitivity to Identifiability}},
author = {Alex Kwon},
year = {2026},
month = aug,
note = {Submitted to Digital Minds Research Sprint, an Apart Research Sprint},
howpublished = {\url{https://apartresearch.com/sprints/projects/coherent-values-or-the-frame-that-asked-from-preference-transitivity-to-identifiability-q13e}},
url = {https://apartresearch.com/sprints/projects/coherent-values-or-the-frame-that-asked-from-preference-transitivity-to-identifiability-q13e}
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