Bhārata Strata · Maharashtra · Thane · morphological twins
Places like cell 4970000707
The MH-36 locality cells most similar to this Thane 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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
44
morphology-v2 feature dimensions
Closest twin distance
0.218
lower = more alike (weighted)
The twins, closest first
#1 · Thanecell 4970000855
distance 0.218
#2 · Punecell 4900013252
distance 0.234 · cross-district
#3 · Thanecell 4970001452
distance 0.258
#4 · Thanecell 4970000931
distance 0.272
#5 · Punecell 4900013293
distance 0.283 · cross-district
#6 · Thanecell 4970001016
distance 0.283
#7 · Thanecell 4970001944
distance 0.307
#8 · Punecell 4900013286
distance 0.319 · cross-district
#9 · Punecell 4900013372
distance 0.325 · cross-district
#10 · Thanecell 4970001945
distance 0.332
#11 · Thanecell 4970001689
distance 0.334
#12 · Thanecell 4970001946
distance 0.335
#13 · Thanecell 4970002263
distance 0.34
#14 · Thanecell 4970001947
distance 0.341
#15 · Punecell 4900013193
distance 0.352 · cross-district
#16 · Punecell 4900012920
distance 0.357 · cross-district
#17 · Punecell 4900013008
distance 0.357 · cross-district
#18 · Punecell 4900013256
distance 0.357 · 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":497,"cluster_id":4970000707}}}'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.