Bhārata Strata · Maharashtra · Gadchiroli · morphological twins
Places like cell 4750000018
The MH-36 locality cells most similar to this Gadchiroli 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
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
42
morphology-v2 feature dimensions
Closest twin distance
0.167
lower = more alike (weighted)
The twins, closest first
#1 · Gadchirolicell 4750000020
distance 0.167
#2 · Gadchirolicell 4750000828
distance 0.263
#3 · Gadchirolicell 4750000035
distance 0.263
#4 · Gadchirolicell 4750000695
distance 0.307
#5 · Gadchirolicell 4750000021
distance 0.318
#6 · Gadchirolicell 4750000036
distance 0.332
#7 · Gadchirolicell 4750000037
distance 0.34
#8 · Gadchirolicell 4750000659
distance 0.342
#9 · Gadchirolicell 4750000730
distance 0.349
#10 · Gadchirolicell 4750001137
distance 0.349
#11 · Nashikcell 4870009678
distance 0.365 · cross-district
#12 · Gadchirolicell 4750000763
distance 0.399
#13 · Gadchirolicell 4750000860
distance 0.4
#14 · Nashikcell 4870010075
distance 0.41 · cross-district
#15 · Nashikcell 4870010340
distance 0.427 · cross-district
#16 · Gadchirolicell 4750000034
distance 0.433
#17 · Gadchirolicell 4750000183
distance 0.437
#18 · Gadchirolicell 4750000019
distance 0.437
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":475,"cluster_id":4750000018}}}'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.