Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740001434
The MH-36 locality cells most similar to this Dhule 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 4 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.162
lower = more alike (weighted)
The twins, closest first
#1 · Dhulecell 4740001435
distance 0.162
#2 · Dhulecell 4740001125
distance 0.232
#3 · Dhulecell 4740003047
distance 0.242
#4 · Dhulecell 4740001851
distance 0.243
#5 · Dhulecell 4740002484
distance 0.247
#6 · Dhulecell 4740001548
distance 0.256
#7 · Nashikcell 4870013333
distance 0.258 · cross-district
#8 · Dhulecell 4740005910
distance 0.264
#9 · Beedcell 4700001715
distance 0.264 · cross-district
#10 · Ahmednagarcell 4660014558
distance 0.276 · cross-district
#11 · Ahmednagarcell 4660003632
distance 0.278 · cross-district
#12 · Dhulecell 4740001035
distance 0.279
#13 · Dhulecell 4740001943
distance 0.28
#14 · Nashikcell 4870003453
distance 0.282 · cross-district
#15 · Ahmednagarcell 4660010396
distance 0.283 · cross-district
#16 · Dhulecell 4740001850
distance 0.284
#17 · Beedcell 4700001017
distance 0.29 · cross-district
#18 · Dhulecell 4740001443
distance 0.292
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":474,"cluster_id":4740001434}}}'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.