Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960007315
The MH-36 locality cells most similar to this Solapur 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 5 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.2
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960007695
distance 0.2
#2 · Dharashivcell 4880004308
distance 0.227 · cross-district
#3 · Solapurcell 4960006129
distance 0.271
#4 · Solapurcell 4960006258
distance 0.279
#5 · Solapurcell 4960006264
distance 0.287
#6 · Solapurcell 4960006398
distance 0.294
#7 · Solapurcell 4960005594
distance 0.302
#8 · Amravaticell 4680002925
distance 0.305 · cross-district
#9 · Solapurcell 4960006391
distance 0.305
#10 · Ahmednagarcell 4660011900
distance 0.305 · cross-district
#11 · Solapurcell 4960005308
distance 0.326
#12 · Solapurcell 4960005864
distance 0.327
#13 · Solapurcell 4960005459
distance 0.33
#14 · Solapurcell 4960007938
distance 0.333
#15 · Dharashivcell 4880004391
distance 0.339 · cross-district
#16 · Solapurcell 4960007945
distance 0.344
#17 · Yavatmalcell 5000005823
distance 0.344 · cross-district
#18 · Solapurcell 4960006462
distance 0.346
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":496,"cluster_id":4960007315}}}'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.