The k̂ Flip Is Observation-Model-Specific, Not Intrinsic to Predictive Processing: A One-Line Ablation
**Ozone Archive Research Program**
**Paper ID:** O0-PAPER-007
**Underlying study:** O0-CRP-014
**Date:** 2026-07-29
**Version:** 1.0.0
**Record class:** SCIENTIFIC PAPER · single-study IMRAD wrapper
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Abstract
Preregistered mechanism-localization ablation. O0-CRP-013 reported that under a predictive-processing (PP) observer the k̂ (knowledge) contrast flips direction relative to the Bayesian baseline. That study's Section 9.1 predicted the flip was caused by the direct y_k = log|V(m)| observation channel, not by anything intrinsic to PP. This paper tests that prediction with a one-line ablation: PP-A is identical to R3's PP observer except μ_k receives no direct observation update — it is updated *only* through prediction-error credit assignment under opacity. Three-way head-to-head at Study B's own seeds (1000–1029): k̂ Cohen's d goes **+4.4 (Bayesian) → −31.5 (PP with direct y_k) → +7.9 (PP-A without direct y_k)**. The flip is fully restored. The R3 mechanism-disagreement is cleanly localized to a single observation-model term.
**Verdict:** PRELIMINARY SUPPORT for CRP-013's Section 9.1 mechanism-localization prediction.
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1. Introduction
O0-CRP-013 reported a partial architecture-dependence finding: two of three central belief contrasts (ĥ, û) replicate from Bayesian to PP; the third (k̂) inverts. CRP-013 §9.1 predicted this flip was caused by the direct y_k observation channel present in PP but not directly parallel to Bayesian's evidence intake. This paper tests that prediction.
2. Methods
**PP-A observer.** Identical to CRP-013's PP observer with one change:
- μ_k **no longer receives direct observation update**.
- Instead, μ_k is updated only through prediction-error credit assignment under opacity.
- Everything else (priors, μ_a, μ_h, μ_u update rules, credit assignment weights) preserved verbatim.
**Design.**
- Confirmatory: 30 fresh seeds × 3 prior regimes × 2 conditions (R, D).
- Three-way head-to-head at Study B's seeds 1000..1029: Bayesian vs PP (CRP-013) vs PP-A (this paper).
**Preregistered decision rules.**
- k̂ d > 0.5 with p < 0.0125 in each of ANCHOR, FLAT, SKEPTICAL regimes to support the mechanism localization.
- ĥ, û directions must remain preserved under PP-A.
3. Results
**At Study B's own seeds (1000–1029), three-way comparison:**
| Register | Bayesian d | PP (CRP-013) d | PP-A (this paper) d |
|---|---:|---:|---:|
| ĥ | +53.6 | +22.3 | +21.2 |
| û | +73.9 | +4.0 | +4.1 |
| k̂ | +4.4 | **−31.5** | **+7.9** |
**k̂ direction fully restored under PP-A.** Removing the direct y_k observation flips the flip.
**All three prior regimes** show PP-A k̂ d > 0.5 with p < 0.0125.
**ĥ and û unchanged** — this ablation targets only k̂'s update path.
4. Discussion
CRP-013's Section 9.1 mechanism-localization prediction receives PRELIMINARY SUPPORT. The k̂ flip in CRP-013 is caused by the direct y_k observation, not by anything intrinsic to predictive processing.
**Broader implication.** A single term in an observation model can invert a belief-update direction. Cross-architecture replication in Bayesian belief models is not purely a function of the "family" (Bayesian vs PP) — it depends on which observation channels are present. This is a general methodological finding, not just about CONTACT_AND_REVELATION.
**Adversarial interpretation.** A skeptic could argue that PP-A is "just Bayesian in disguise" — that removing the direct y_k observation makes PP-A converge toward Bayesian behavior. This is partially true: PP-A is designed to test exactly this — whether removing a single specific term restores the direction. The ablation's clarity is a feature, not a defect.
5. Limitations
- Only tests one specific ablation. Other observation-model choices are not explored.
- Effect sizes under PP-A are still smaller than under Bayesian, so the two architectures are not equivalent.
- Only three prior regimes tested; broader prior space not swept.
6. Related studies
- **O0-CRP-013** — the study this paper resolves the k̂ flip for.
- **O0-CRP-011, O0-CRP-012** — Study B baseline (Bayesian).
- **O0-SCOPE-002** — claim registry entry C012.
7. Data and code availability
- Full record: `research/studies/O0-CRP-014/scientific_record.md`
- Source: `research/studies/O0-CRP-014/src/`
- Figures: `research/studies/O0-CRP-014/figures/`
8. References
- Friston, K. (2010). "The free-energy principle." *Nature Reviews Neuroscience.*
- Rao & Ballard (1999). "Predictive coding in the visual cortex." *Nature Neuroscience.*