Bhārata Strata · Maharashtra · Gadchiroli · morphological twins
Places like cell 4750010385
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 3 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.125
lower = more alike (weighted)
The twins, closest first
#1 · Gadchirolicell 4750010439
distance 0.125
#2 · Gadchirolicell 4750011455
distance 0.126
#3 · Gadchirolicell 4750012084
distance 0.134
#4 · Gadchirolicell 4750010589
distance 0.136
#5 · Gadchirolicell 4750011589
distance 0.137
#6 · Gadchirolicell 4750010447
distance 0.141
#7 · Gadchirolicell 4750011385
distance 0.141
#8 · Gadchirolicell 4750010114
distance 0.142
#9 · Gadchirolicell 4750011450
distance 0.142
#10 · Gadchirolicell 4750010377
distance 0.145
#11 · Gadchirolicell 4750011713
distance 0.157
#12 · Gadchirolicell 4750007748
distance 0.164
#13 · Gadchirolicell 4750011582
distance 0.164
#14 · Gadchirolicell 4750011382
distance 0.167
#15 · Gadchirolicell 4750010003
distance 0.168
#16 · Gadchirolicell 4750010302
distance 0.174
#17 · Nandedcell 4850009094
distance 0.176 · cross-district
#18 · Yavatmalcell 5000007313
distance 0.177 · 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":475,"cluster_id":4750010385}}}'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.