Bhārata Strata · Maharashtra · Dharashiv · morphological twins
Places like cell 4880003202
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
0.105
lower = more alike (weighted)
The twins, closest first
#1 · Laturcell 4810002028
distance 0.105 · cross-district
#2 · Dharashivcell 4880003197
distance 0.109
#3 · Dharashivcell 4880003004
distance 0.112
#4 · Laturcell 4810002204
distance 0.113 · cross-district
#5 · Laturcell 4810001512
distance 0.12 · cross-district
#6 · Dharashivcell 4880003297
distance 0.12
#7 · Dharashivcell 4880002925
distance 0.125
#8 · Dharashivcell 4880003647
distance 0.125
#9 · Dharashivcell 4880002919
distance 0.127
#10 · Dharashivcell 4880002897
distance 0.128
#11 · Dharashivcell 4880003634
distance 0.129
#12 · Dharashivcell 4880002180
distance 0.129
#13 · Laturcell 4810001622
distance 0.13 · cross-district
#14 · Dharashivcell 4880002676
distance 0.131
#15 · Dharashivcell 4880002857
distance 0.131
#16 · Dharashivcell 4880002743
distance 0.133
#17 · Dharashivcell 4880003516
distance 0.134
#18 · Dharashivcell 4880002365
distance 0.136
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":4880003202}}}'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.