| ====================================================================== |
| GEOLIP HYPERSPHERE STRUCTURAL ANALYSIS |
| Checkpoint: checkpoints/dual_stream_best.pt |
| Device: cuda |
| ====================================================================== |
|
|
| Loading checkpoint... |
| mAP=0.838 epoch=17 |
| D_ANCHOR=256 N_ANCHORS=512 N_EXPERTS=3 |
| Anchors: torch.Size([512, 256]) |
| Expert rotations: N/A (dual-stream — perspectives in projectors) |
|
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| Loading expert features... |
| Generating embeddings... |
| Embeddings: torch.Size([5000, 256]) |
|
|
| ====================================================================== |
| SCAN 1: ANCHOR GEOMETRY |
| ====================================================================== |
| Pairwise cosine: |
| mean=0.0001 std=0.0442 |
| max=0.5800 min=-0.5539 |
| Max neighbor cosine per anchor: |
| mean=0.2330 std=0.0823 |
| max=0.5800 min=0.1204 |
| pairs with cos > 0.9: 0 (0.00%) |
| pairs with cos > 0.8: 0 (0.00%) |
| pairs with cos > 0.7: 0 (0.00%) |
| pairs with cos > 0.5: 3 (0.00%) |
| pairs with cos > 0.3: 47 (0.04%) |
| pairs with cos > 0.0: 64430 (49.25%) |
|
|
| Anchor spectral: |
| effective rank: 256.0/256 |
| sv_max=1.4151 sv_10=1.4146 sv_50=1.4145 sv_min=1.413725 |
| top-10 SVs explain 3.9% |
| top-25 SVs explain 9.8% |
| top-50 SVs explain 19.5% |
| top-100 SVs explain 39.1% |
| top-128 SVs explain 50.0% |
| top-200 SVs explain 78.1% |
|
|
| Anchor pentachoron CV: 0.0286 |
| mean_vol=0.092596 std_vol=0.002649 |
|
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| ====================================================================== |
| SCAN 2: ANCHOR UTILIZATION |
| ====================================================================== |
| Active anchors: 201/512 (39.3%) |
| Visit counts: mean=9.8 std=25.6 |
| max=264 min=1 (among active) |
| top 10: [np.float32(264.0), np.float32(194.0), np.float32(161.0), np.float32(140.0), np.float32(129.0), np.float32(114.0), np.float32(111.0), np.float32(103.0), np.float32(96.0), np.float32(90.0)] |
| Entropy: 4.5776 / 6.2383 (73.4%) |
| Gini coefficient: 0.8568 (0=equal, 1=one anchor gets all) |
| anchors with 1-5 visits: 66 |
| anchors with 5-20 visits: 64 |
| anchors with 20-50 visits: 39 |
| anchors with 50-100 visits: 24 |
| anchors with 100-500 visits: 8 |
| anchors with 500-5000 visits: 0 |
|
|
| ====================================================================== |
| SCAN 3: EMBEDDING MANIFOLD GEOMETRY |
| ====================================================================== |
| Effective dimensionality: 71.6/256 |
| top-5 SVs explain 33.5% |
| top-10 SVs explain 51.1% |
| top-20 SVs explain 72.6% |
| top-50 SVs explain 94.2% |
| top-100 SVs explain 99.4% |
| top-128 SVs explain 99.8% |
| top-200 SVs explain 100.0% |
|
|
| Self-similarity (off-diagonal): |
| mean=0.0025 std=0.1920 |
| max=0.9931 min=-0.5248 |
|
|
| Norms: mean=1.000000 std=0.000000 |
|
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| Global pentachoron CV: 0.2199 |
| mean_vol=0.080570 std_vol=0.017715 |
|
|
| ====================================================================== |
| SCAN 4: EXPERT PERSPECTIVE DIVERGENCE |
| ====================================================================== |
|
|
| Per-image expert agreement: |
| clip_l14_openai × dinov2_b14 : mean=1.0000 std=0.0000 min=1.0000 |
| clip_l14_openai × siglip_b16_384 : mean=1.0000 std=0.0000 min=1.0000 |
| dinov2_b14 × siglip_b16_384 : mean=1.0000 std=0.0000 min=1.0000 |
|
|
| Per-anchor expert divergence: |
| mean divergence: 0.0000 std: 0.0000 |
| max divergence: 0.0000 (anchor 0) |
| min divergence: 0.0000 (anchor 0) |
|
|
| Top 10 most contentious anchors: |
| #1 anchor 39: div=0.0000 visits=0 |
| #2 anchor 38: div=0.0000 visits=0 |
| #3 anchor 37: div=0.0000 visits=0 |
| #4 anchor 36: div=0.0000 visits=0 |
| #5 anchor 35: div=0.0000 visits=0 |
| #6 anchor 34: div=0.0000 visits=0 |
| #7 anchor 33: div=0.0000 visits=0 |
| #8 anchor 32: div=0.0000 visits=2 |
| #9 anchor 47: div=0.0000 visits=0 |
| #10 anchor 46: div=0.0000 visits=1 |
|
|
| Top 10 most unanimous anchors: |
| #1 anchor 504: div=0.0000 visits=0 |
| #2 anchor 505: div=0.0000 visits=2 |
| #3 anchor 506: div=0.0000 visits=27 |
| #4 anchor 507: div=0.0000 visits=17 |
| #5 anchor 508: div=0.0000 visits=4 |
| #6 anchor 509: div=0.0000 visits=0 |
| #7 anchor 510: div=0.0000 visits=0 |
| #8 anchor 511: div=0.0000 visits=0 |
| #9 anchor 496: div=0.0000 visits=0 |
| #10 anchor 497: div=0.0000 visits=0 |
|
|
| Expert rotation eigenspectra: |
| clip_l14_openai : ortho_err=0.000000 eval_min=1.0000 eval_max=1.0000 |
| dinov2_b14 : ortho_err=0.000000 eval_min=1.0000 eval_max=1.0000 |
| siglip_b16_384 : ortho_err=0.000000 eval_min=1.0000 eval_max=1.0000 |
|
|
| Expert whitener condition: |
| clip_l14_openai : cond=1.00 sv_max=1.0000 sv_min=1.000000 |
| dinov2_b14 : cond=1.00 sv_max=1.0000 sv_min=1.000000 |
| siglip_b16_384 : cond=1.00 sv_max=1.0000 sv_min=1.000000 |
|
|
| ====================================================================== |
| SCAN 5: NEAREST ANCHOR DISTANCES |
| ====================================================================== |
| k= 0: mean_dist=0.5721 std=0.0978 max=0.8074 min=0.2505 |
| k= 1: mean_dist=0.6521 std=0.0692 max=0.8282 min=0.4311 |
| k= 2: mean_dist=0.6931 std=0.0559 max=0.8344 min=0.5052 |
| k= 4: mean_dist=0.7466 std=0.0436 max=0.8548 min=0.5865 |
| k= 9: mean_dist=0.8172 std=0.0243 max=0.8985 min=0.7391 |
| k= 19: mean_dist=0.8814 std=0.0183 max=0.9495 min=0.8327 |
| k= 49: mean_dist=0.9374 std=0.0132 max=0.9738 min=0.9056 |
| k= 99: mean_dist=0.9671 std=0.0084 max=0.9896 min=0.9445 |
| anchors with cos > 0.9: mean=0.0 max=0 min=0 |
| anchors with cos > 0.8: mean=0.0 max=0 min=0 |
| anchors with cos > 0.7: mean=0.0 max=1 min=0 |
| anchors with cos > 0.5: mean=0.3 max=2 min=0 |
| anchors with cos > 0.3: mean=2.7 max=8 min=0 |
| anchors with cos > 0.0: mean=227.2 max=284 min=148 |
|
|
| ====================================================================== |
| SCAN 6: PER-CLASS ANCHOR AFFINITY |
| ====================================================================== |
| Anchor specialization: |
| classes per active anchor: mean=12.8 std=9.4 |
| max=40 min=1 |
|
|
| Class spread (anchors per class): |
| mean=32.2 std=28.8 |
| max=170 (person) |
| min=2 (bear) |
|
|
| Top 10 by anchor spread: |
| person : 170 anchors, 2693 images |
| chair : 105 anchors, 580 images |
| car : 98 anchors, 535 images |
| bottle : 85 anchors, 379 images |
| dining table : 84 anchors, 501 images |
| handbag : 81 anchors, 292 images |
| cup : 80 anchors, 390 images |
| backpack : 76 anchors, 228 images |
| truck : 66 anchors, 250 images |
| book : 65 anchors, 230 images |
| Bottom 10 by anchor spread: |
| sheep : 6 anchors, 65 images |
| tennis racket : 5 anchors, 167 images |
| giraffe : 5 anchors, 101 images |
| hair drier : 4 anchors, 9 images |
| toaster : 4 anchors, 8 images |
| baseball glove : 4 anchors, 100 images |
| elephant : 4 anchors, 89 images |
| skis : 4 anchors, 120 images |
| zebra : 3 anchors, 85 images |
| bear : 2 anchors, 49 images |
|
|
| ====================================================================== |
| SCAN 7: INTER-CLASS GEOMETRIC DISTANCES |
| ====================================================================== |
| Inter-class cosine (78 classes with >10 images): |
| mean=0.0531 |
| max=0.9947 min=-0.4158 |
|
|
| Most similar class pairs: |
| #1: mouse × keyboard cos=0.9947 |
| #2: baseball bat × baseball glove cos=0.9905 |
| #3: microwave × refrigerator cos=0.9783 |
| #4: spoon × bowl cos=0.9757 |
| #5: skis × snowboard cos=0.9707 |
| #6: microwave × oven cos=0.9615 |
| #7: knife × dining table cos=0.9582 |
| #8: cup × dining table cos=0.9580 |
| #9: laptop × keyboard cos=0.9577 |
| #10: fork × knife cos=0.9565 |
| #11: laptop × mouse cos=0.9531 |
| #12: oven × refrigerator cos=0.9510 |
| #13: knife × spoon cos=0.9489 |
| #14: apple × orange cos=0.9461 |
| #15: broccoli × carrot cos=0.9433 |
|
|
| Most distant class pairs: |
| #1: person × zebra cos=-0.4158 |
| #2: person × giraffe cos=-0.3890 |
| #3: airplane × bottle cos=-0.3845 |
| #4: snowboard × potted plant cos=-0.3742 |
| #5: snowboard × chair cos=-0.3692 |
| #6: snowboard × vase cos=-0.3677 |
| #7: bench × toothbrush cos=-0.3641 |
| #8: skis × potted plant cos=-0.3635 |
| #9: truck × toothbrush cos=-0.3629 |
| #10: bird × bottle cos=-0.3616 |
| #11: airplane × cup cos=-0.3575 |
| #12: car × toothbrush cos=-0.3572 |
| #13: skis × vase cos=-0.3550 |
| #14: skis × chair cos=-0.3484 |
| #15: horse × bottle cos=-0.3445 |
|
|
| Intra-class spread: |
| Tightest 10: |
| giraffe : spread=0.0566 (n=101) |
| zebra : spread=0.0626 (n=85) |
| tennis racket : spread=0.0785 (n=167) |
| baseball glove : spread=0.0871 (n=100) |
| skis : spread=0.0880 (n=120) |
| elephant : spread=0.1058 (n=89) |
| snowboard : spread=0.1145 (n=49) |
| skateboard : spread=0.1188 (n=127) |
| surfboard : spread=0.1377 (n=149) |
| baseball bat : spread=0.1512 (n=97) |
| Loosest 10: |
| potted plant : spread=0.5553 (n=172) |
| umbrella : spread=0.5566 (n=174) |
| cup : spread=0.5587 (n=390) |
| car : spread=0.5765 (n=535) |
| bottle : spread=0.6014 (n=379) |
| handbag : spread=0.6207 (n=292) |
| bench : spread=0.6600 (n=235) |
| chair : spread=0.6621 (n=580) |
| backpack : spread=0.6764 (n=228) |
| person : spread=0.8186 (n=2693) |
|
|
| ====================================================================== |
| SCAN 8: LOCAL PENTACHORON CV |
| ====================================================================== |
| Clusters with 10+ members: 102 |
| Local CV: mean=0.4302 std=0.1654 |
| max=1.0834 min=0.1965 |
| Global CV: 0.2199 |
| Ratio (local/global): 1.9564 |
|
|
| Highest local CV (most diverse clusters): |
| anchor 86: CV=1.0834 n= 103 mean_vol=0.002920 |
| anchor 469: CV=0.8698 n= 89 mean_vol=0.000587 |
| anchor 364: CV=0.8659 n= 194 mean_vol=0.007823 |
| anchor 175: CV=0.8403 n= 88 mean_vol=0.001932 |
| anchor 68: CV=0.8222 n= 161 mean_vol=0.000757 |
| anchor 220: CV=0.7987 n= 114 mean_vol=0.001308 |
| anchor 437: CV=0.7678 n= 129 mean_vol=0.001834 |
| anchor 498: CV=0.7410 n= 78 mean_vol=0.001262 |
| anchor 205: CV=0.6792 n= 48 mean_vol=0.001457 |
| anchor 339: CV=0.6555 n= 11 mean_vol=0.003612 |
| Lowest local CV (most uniform clusters): |
| anchor 361: CV=0.2631 n= 41 mean_vol=0.012367 |
| anchor 254: CV=0.2615 n= 32 mean_vol=0.019875 |
| anchor 155: CV=0.2565 n= 34 mean_vol=0.017756 |
| anchor 53: CV=0.2527 n= 12 mean_vol=0.025066 |
| anchor 479: CV=0.2503 n= 43 mean_vol=0.021270 |
| anchor 157: CV=0.2354 n= 11 mean_vol=0.031356 |
| anchor 289: CV=0.2137 n= 18 mean_vol=0.018227 |
| anchor 430: CV=0.2126 n= 15 mean_vol=0.041118 |
| anchor 486: CV=0.2002 n= 11 mean_vol=0.016117 |
| anchor 131: CV=0.1965 n= 14 mean_vol=0.030370 |
|
|
| ====================================================================== |
| SCAN 9: PROJECTOR ANALYSIS |
| ====================================================================== |
|
|
| clip_l14_openai: |
| self-sim: mean=0.0538 std=0.1757 |
| eff_dim: 76.3/256 |
| cos→fused: mean=0.9160 std=0.0323 |
|
|
| dinov2_b14: |
| self-sim: mean=0.1254 std=0.1798 |
| eff_dim: 74.5/256 |
| cos→fused: mean=0.8665 std=0.0459 |
|
|
| siglip_b16_384: |
| self-sim: mean=0.0332 std=0.1800 |
| eff_dim: 76.3/256 |
| cos→fused: mean=0.9303 std=0.0284 |
|
|
| Cross-expert agreement (projected): |
| clip_l14_openai × dinov2_b14 : cos=0.6581 std=0.1092 |
| clip_l14_openai × siglip_b16_384 : cos=0.8297 std=0.0749 |
| dinov2_b14 × siglip_b16_384 : cos=0.6966 std=0.1019 |
|
|
| Expert uniqueness (leave-one-out): |
| Without clip_l14_openai : cos_to_full=0.9756 (uniqueness=0.0244) |
| Without dinov2_b14 : cos_to_full=0.9652 (uniqueness=0.0348) |
| Without siglip_b16_384 : cos_to_full=0.9791 (uniqueness=0.0209) |
|
|
| ====================================================================== |
| SCAN 9.5: DUAL-STREAM ANALYSIS |
| ====================================================================== |
|
|
| Shared × Native cosine per expert: |
| clip_l14_openai : mean=0.3337 std=0.0146 min=0.2898 max=0.4650 |
| dinov2_b14 : mean=0.3576 std=0.0256 min=0.2771 max=0.5046 |
| siglip_b16_384 : mean=0.3503 std=0.0191 min=0.2433 max=0.4444 |
|
|
| Displacement (shared - native): |
| clip_l14_openai : L2_mean=1.1543 std=0.0127 |
| dinov2_b14 : L2_mean=1.1332 std=0.0228 |
| siglip_b16_384 : L2_mean=1.1398 std=0.0168 |
|
|
| Native effective dimensionality: |
| clip_l14_openai : eff_dim=71.3/256 |
| dinov2_b14 : eff_dim=62.4/256 |
| siglip_b16_384 : eff_dim=62.8/256 |
|
|
| Cross-expert native agreement: |
| clip_l14_openai × dinov2_b14 : mean=0.2059 std=0.0037 |
| clip_l14_openai × siglip_b16_384 : mean=0.2078 std=0.0041 |
| dinov2_b14 × siglip_b16_384 : mean=0.7933 std=0.0048 |
|
|
| Shared × Other's Native (cross-stream): |
| clip_l14_ope_shared × dinov2_b14 _native: mean=0.1277 |
| clip_l14_ope_shared × siglip_b16_3_native: mean=0.2346 |
| dinov2_b14_shared × clip_l14_ope_native: mean=0.0136 |
| dinov2_b14_shared × siglip_b16_3_native: mean=0.2824 |
| siglip_b16_3_shared × clip_l14_ope_native: mean=0.2211 |
| siglip_b16_3_shared × dinov2_b14 _native: mean=0.1836 |
|
|
| Native triangulation divergence from shared: |
| clip_l14_openai : tri_cos=0.2093 tri_diff=0.0572 |
| dinov2_b14 : tri_cos=0.2464 tri_diff=0.0573 |
| siglip_b16_384 : tri_cos=0.3196 tri_diff=0.0553 |
|
|
| Native pairwise triangulation correlation: |
| clip_l14_openai × dinov2_b14 : mean=0.2059 std=0.0037 |
| clip_l14_openai × siglip_b16_384 : mean=0.2078 std=0.0041 |
| dinov2_b14 × siglip_b16_384 : mean=0.7933 std=0.0048 |
|
|
| Information content: |
| Shared tri eff_dim: 71.6 |
| Combined eff_dim: 126.2 |
| Info gain from native: +54.5 dims |
|
|
| ====================================================================== |
| SCAN 10: TRIANGULATION STRUCTURE |
| ====================================================================== |
|
|
| clip_l14_openai triangulation: |
| mean=0.9993 std=0.0625 |
| min=0.2505 max=1.3152 |
| nearest: mean=0.5721 std=0.0978 |
|
|
| dinov2_b14 triangulation: |
| mean=0.9993 std=0.0625 |
| min=0.2505 max=1.3152 |
| nearest: mean=0.5721 std=0.0978 |
|
|
| siglip_b16_384 triangulation: |
| mean=0.9993 std=0.0625 |
| min=0.2505 max=1.3152 |
| nearest: mean=0.5721 std=0.0978 |
|
|
| Expert triangulation correlation: |
| clip_l14_openai × dinov2_b14 : per_img_cos mean=1.0000 std=0.0000 |
| clip_l14_openai × siglip_b16_384 : per_img_cos mean=1.0000 std=0.0000 |
| dinov2_b14 × siglip_b16_384 : per_img_cos mean=1.0000 std=0.0000 |
|
|
| ====================================================================== |
| SUMMARY |
| ====================================================================== |
| Checkpoint: checkpoints/dual_stream_best.pt |
| mAP: 0.838 |
| Anchors: 512 × 256-d, 201 active (39%) |
| Embedding eff_dim: 71.6/256 |
| Anchor eff_rank: 256.0/256 |
| Global CV: 0.2199 |
| Anchor CV: 0.0286 |
| Local CV (mean): 0.4302 |
| Utilization entropy: 73.4% |
| Utilization Gini: 0.8568 |
|
|
| ====================================================================== |
| ANALYSIS COMPLETE |
| ====================================================================== |
