Bhārata Strata · Maharashtra · Raigad · morphological twins
Places like cell 4910003491
The MH-36 locality cells most similar to this Raigad cell across terrain, built form, land cover, climate dynamics and connectivity — ranked by a GUM-confidence-weighted (R24) distance, with the temporal block down-weighted. Each twin is a real cell with its own witnessed dossier.
Twins found
18
across 3 distinct districts
Index confidence
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.224
lower = more alike (weighted)
The twins, closest first
#1 · Raigadcell 4910004045
distance 0.224
#2 · Raigadcell 4910003447
distance 0.24
#3 · Raigadcell 4910001277
distance 0.259
#4 · Raigadcell 4910001728
distance 0.263
#5 · Ratnagiricell 4920002986
distance 0.283 · cross-district
#6 · Raigadcell 4910003281
distance 0.307
#7 · Raigadcell 4910002667
distance 0.334
#8 · Raigadcell 4910001210
distance 0.347
#9 · Raigadcell 4910003537
distance 0.348
#10 · Raigadcell 4910002164
distance 0.353
#11 · Ratnagiricell 4920000467
distance 0.367 · cross-district
#12 · Raigadcell 4910001343
distance 0.383
#13 · Ratnagiricell 4920004428
distance 0.386 · cross-district
#14 · Raigadcell 4910003492
distance 0.402
#15 · Ratnagiricell 4920006008
distance 0.407 · cross-district
#16 · Ratnagiricell 4920006150
distance 0.414 · cross-district
#17 · Sindhudurgcell 4950001688
distance 0.417 · cross-district
#18 · Raigadcell 4910004396
distance 0.42
witness: find_twins — morphology-twin-index-v2 (R24, GUM-confidence-weighted, magnitude-aware, temporal block down-weighted). Distance is the weighted feature distance; lower is more alike. Cross-district twins are the discriminative signal.
Re-witness these twins
curl -s https://api.gridrock.ai/mcp -H 'Content-Type: application/json' \
-H 'Accept: application/json, text/event-stream' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"find_twins",
"arguments":{"admin_code":491,"cluster_id":4910003491}}}'Scope: the live MH-36 cube. Twins are computed from the sha-verified morphology-v2 vector; the engine supplies no goodness/suitability ranking — only morphological similarity.