Bhārata Strata · Maharashtra · Ahmednagar · morphological twins
Places like cell 4660010694
The MH-36 locality cells most similar to this Ahmednagar 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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.074
lower = more alike (weighted)
The twins, closest first
#1 · Ahmednagarcell 4660010202
distance 0.074
#2 · Ahmednagarcell 4660010210
distance 0.088
#3 · Ahmednagarcell 4660010036
distance 0.13
#4 · Ahmednagarcell 4660010041
distance 0.154
#5 · Ahmednagarcell 4660008688
distance 0.156
#6 · Ahmednagarcell 4660009003
distance 0.17
#7 · Ahmednagarcell 4660012617
distance 0.175
#8 · Ahmednagarcell 4660010201
distance 0.186
#9 · Ahmednagarcell 4660010370
distance 0.191
#10 · Ahmednagarcell 4660007906
distance 0.193
#11 · Ahmednagarcell 4660004393
distance 0.197
#12 · Ahmednagarcell 4660009870
distance 0.198
#13 · Ahmednagarcell 4660009346
distance 0.198
#14 · Nashikcell 4870013399
distance 0.199 · cross-district
#15 · Ahmednagarcell 4660010040
distance 0.201
#16 · Ahmednagarcell 4660008065
distance 0.202
#17 · Ahmednagarcell 4660009878
distance 0.204
#18 · Nandurbarcell 4860001959
distance 0.206 · 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":466,"cluster_id":4660010694}}}'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.