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README.md
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license: apache-2.0
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---
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Experiment 1:
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Total collapse. The three models did not conform and the patchwork did not learn. The objectives are not correct.
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One anchor was defaulted to, none of the others utilized. The memory bank solves this problem through queue assessment with the INFONCE hub processing,
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but this model is a different form of anchoring that did not work.
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THE ENTIRE MODEL became the anchor, instead of the anchorpoints within the model. I'm thinking there wasn't enough scattering, so I'll try some additional tweaks.
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license: apache-2.0
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---
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# Experiment 1:
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Total collapse. The three models did not conform and the patchwork did not learn. The objectives are not correct.
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One anchor was defaulted to, none of the others utilized. The memory bank solves this problem through queue assessment with the INFONCE hub processing,
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but this model is a different form of anchoring that did not work.
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THE ENTIRE MODEL became the anchor, instead of the anchorpoints within the model. I'm thinking there wasn't enough scattering, so I'll try some additional tweaks.
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## Post
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```
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Active anchors: 1/256 (0.4%)
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Every single image → anchor 65
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Anchor entropy: 0.0000
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Anchors within cos>0.5 per image: 1.0
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Nearest anchor dist: 0.016 — next nearest: 0.665
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Effective dim: 23.6/128
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Top-20 SVs explain 99.2%
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Self-sim off-diag: 0.969
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Expert uniqueness: 0.0008–0.0011
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```
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There is only one active anchor, which is essentially CLS. The uniqueness collapsed. The distance is fine, the entropy is dead.
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Shortcut bypass, additional nonlinearity must be made.
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