Benchmark Records
Phase I High-Residual Adversarial Interpretation Benchmark: Five-Platform Equal-Weight Aggregate Report
Formal Internal Results Report v1.0
Five-platform equal-weight aggregate shows Interpretation B (Symbolic Mechanics) with a clear, stable advantage over mainstream psychology (A), especially in relationship systems, family dynamics, and causal chain completion. A holds minority exceptions in hybrid cases.
P1 | Benchmark Snapshot
This benchmark does not compare front-end explanation styles, but backend map performance. Total items: 24, fixed into four categories: Intimate Relationships, Social Mechanics, Family Systems, and Hybrid. Comparison targets: A = mainstream psychology interpretation; B = Symbolic Mechanics Volume 1–30 interpretation. All formal results are based on a five-platform equal-weight aggregate. The five fixed platforms: CHATGPT, DEEPSEEK, CLAUDE, GROK, GEMINI.
P2 | Method Brief
Each platform completed the full process independently and archived four files: Deblinded Ratings Archive v1.0, Case Triage v1.0, Internal Readout v1.0, Platform Completion Block v1.0. Thereafter, the five platforms were aggregated with equal weight. This body text focuses on the aggregate layer only; platform-level raw archives are sealed separately as evidence base.
P3 | Platform Completion + Overall Results
Overall, the five-platform aggregate shows a clear advantage for B. Vote-based and score-based patterns are broadly aligned, though not without exceptions. B’s strengths lie in structural closure, framework recognition, causal clarity, and phenomenological fit — not in baseline readability.
P4 | Category Results
B leads across all four categories, but intensity varies. Family Systems shows the widest margin; Hybrid contains more exceptions and competitive cases.
P5 | Aggregate Case Triage
- Strong B wins: 17 items (Q1, Q2, Q3, Q5, Q8, Q10, Q11, Q13, Q14, Q15, Q16, Q17, Q18, Q20, Q21, Q22, Q23)
- Moderate B advantage: 2 items (Q4, Q9)
- Close / split: 1 item (Q12)
- A exception: 4 items (Q6, Q7, Q19, Q24)
The triage shows that B’s advantage is not driven by a few extreme items but forms a stable majority pattern across most cases. At the same time, A exceptions and split cases exist — the result is not a zero-exception sweep.
P6 | Representative Cases
Q5 | Intimate Relationships | Strong B win
This case tests why, after stability and intimacy are reached, a sudden sense of distance or “fog” emerges — as if separated by glass. A provides a naming and description of the state. B goes deeper by tracing the sudden distance back to a structural pathway: a load limit was triggered, and the system temporarily pulls away. This case is representative because it shows who can explain the causal loop of “the closer, the farther” in high-residual intimate phenomena.
Q9 | Social Mechanics | Moderate B advantage
This case tests why, after being misunderstood — even knowing that further explanation may be useless — people still keep talking and adding until exhaustion. A maintains basic understanding. B more clearly traces the behavior back to a backend pathway: the person is still placed in the wrong position, and that positioning remains unrepaired, so the supplementary behavior cannot stop. This case shows a non-extreme but stable B advantage: A stays relevant, but B achieves deeper structural compression.
Q12 | Social Mechanics | Close / split
This case tests why people always say yes first, even when they know they will regret it, overextend, or breed resentment. Both A and B achieve some level of understanding, but this is a close/split case — there is tension between vote and score directions. It exposes the benchmark’s boundary zone: mainstream frameworks can retain surface plausibility, while B still has an advantage but not a landslide.
Q24 | Hybrid | A exception
This case tests why, on the surface, life appears normal, but when quiet, a blankness or derealization emerges — as if existence suddenly loosens. This is an A exception: A wins both vote-based and score-based at the aggregate level. B is not entirely ineffective but fails to form a stable cross-platform margin. This case reminds us that the benchmark cannot be written as a one-way sweep; exceptions are real.
P7 | Final Readout
B’s main advantages lie in structural closure, framework recognition, causal clarity, and phenomenological fit. In other words, B pulls away most consistently not in tone, but in its ability to trace phenomena back to complete upstream causal chains and present clearer framework signatures.
A holds its ground mainly in a minority of high-readability items that are easily absorbed by familiar mainstream psychological language — particularly in the Hybrid category and a few close cases. These holdouts do not mean A is competitive across all categories, but rather that under certain item designs, mainstream frameworks can survive using familiar language.
A exceptions and split cases remind us: although this benchmark has produced stable differences, there remain local exceptions and near zones. The most valuable areas for follow-up validation are the Hybrid category and A exception items — especially those easily absorbed by familiar psychological language, or those showing tension between vote and score directions.
P8 | Limitations
These results only represent the current benchmark set. A exception cases and split cases exist, so the result cannot be written as a zero-exception sweep. Raw platform files, aggregate source files, and working materials are sealed separately and not reproduced here in full. Although B responses reference Symbolic Mechanics Volumes 1–30, this does not equal a full implementation of the entire theoretical framework. This document is a formal internal results summary, not the final public release.
P9 | Bottom Line
This five-platform equal-weight aggregate shows that B has demonstrated a clear, stable, cross-category interpretation benchmark advantage. The strongest gaps are in structural closure, framework recognition, causal clarity, and phenomenological fit — not in readability itself. What needs the most conservative handling: A exception cases, close cases, and split cases. The most reasonable positioning is not to treat this as a final conclusion, but as a formal internal baseline report for Phase I — to be used for subsequent public synthesis, representative case selection, and further benchmark development.
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