Bhārata Strata · Maharashtra · Dharashiv · morphological twins
Places like cell 4880004765
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 3 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.12
lower = more alike (weighted)
The twins, closest first
#1 · Dharashivcell 4880004764
distance 0.12
#2 · Dharashivcell 4880004942
distance 0.12
#3 · Dharashivcell 4880006109
distance 0.127
#4 · Dharashivcell 4880005058
distance 0.14
#5 · Ahmednagarcell 4660001136
distance 0.141 · cross-district
#6 · Dharashivcell 4880005046
distance 0.143
#7 · Dharashivcell 4880005710
distance 0.146
#8 · Dharashivcell 4880005054
distance 0.147
#9 · Dharashivcell 4880004574
distance 0.149
#10 · Dharashivcell 4880004957
distance 0.151
#11 · Dharashivcell 4880004330
distance 0.156
#12 · Beedcell 4700000977
distance 0.157 · cross-district
#13 · Dharashivcell 4880004245
distance 0.157
#14 · Dharashivcell 4880006046
distance 0.166
#15 · Beedcell 4700001839
distance 0.17 · cross-district
#16 · Dharashivcell 4880005629
distance 0.171
#17 · Beedcell 4700002009
distance 0.173 · cross-district
#18 · Dharashivcell 4880004675
distance 0.18
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":4880004765}}}'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.