Bhārata Strata · Maharashtra · Dharashiv · morphological twins
Places like cell 4880005839
The MH-36 locality cells most similar to this Dharashiv 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 2 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.067
lower = more alike (weighted)
The twins, closest first
#1 · Dharashivcell 4880005387
distance 0.067
#2 · Dharashivcell 4880005588
distance 0.078
#3 · Dharashivcell 4880005676
distance 0.078
#4 · Dharashivcell 4880005384
distance 0.089
#5 · Dharashivcell 4880005494
distance 0.095
#6 · Beedcell 4700000593
distance 0.096 · cross-district
#7 · Dharashivcell 4880004444
distance 0.102
#8 · Dharashivcell 4880004461
distance 0.103
#9 · Dharashivcell 4880006077
distance 0.103
#10 · Beedcell 4700000361
distance 0.105 · cross-district
#11 · Beedcell 4700000804
distance 0.107 · cross-district
#12 · Dharashivcell 4880005492
distance 0.108
#13 · Dharashivcell 4880002135
distance 0.108
#14 · Dharashivcell 4880004353
distance 0.11
#15 · Dharashivcell 4880005473
distance 0.115
#16 · Dharashivcell 4880005476
distance 0.118
#17 · Dharashivcell 4880005851
distance 0.118
#18 · Beedcell 4700001598
distance 0.119 · cross-district
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":488,"cluster_id":4880005839}}}'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.