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  "path": "/t/can-an-llm-lose-conceptual-continuity-while-remaining-coherent/176469#post_16",
  "publishedAt": "2026-06-12T16:16:06.000Z",
  "site": "https://discuss.huggingface.co",
  "textContent": "That is fair, and it is also the reason I have been cautious about presenting the results too early.\n\nThe first apparent improvements were followed by several controls:\n\n  * density sweeps, because the effect turned out to be non-monotonic,\n  * cross-model replications,\n  * explicit loop detection,\n  * correction of attribution false positives after transcript inspection,\n  * a 2×2 ablation separating ingestion hygiene from turn-level re-anchoring,\n  * and a single-model confound control for the mixed-model experiment.\n\n\n\nThe confound control was particularly useful. Without it, the neutral mixed-model result could easily have been presented as an architectural gain. After the control, the more accurate conclusion was narrower: the mixed system did not beat the best single model on any isolated metric, but in some conditions it combined a safer multi-channel profile and avoided degeneration.\n\nThere were also clear negative results. Hygiene did not reduce interaction-driven register drift. Post-hoc cross-model review did not reliably remove drift already present in the analyst draft. Qwen showed no clean operating point in the tested configuration, and some apparently “clean” low-density states were actually loop traps.\n\nSo I agree with the principle: falsify first, preserve the negative results, and revise the claim. I now have a draft pilot report with the full controls, limitations, and model profiles, and I will share the benchmark and report rather than only the headline result.",
  "title": "Can an LLM lose conceptual continuity while remaining coherent?"
}