Bhārata Strata · Maharashtra · Pune · morphological twins
Places like cell 4900000747
The MH-36 locality cells most similar to this Pune 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
44
morphology-v2 feature dimensions
Closest twin distance
0.116
lower = more alike (weighted)
The twins, closest first
#1 · Punecell 4900000748
distance 0.116
#2 · Sataracell 4940007740
distance 0.288 · cross-district
#3 · Punecell 4900012534
distance 0.312
#4 · Punecell 4900013016
distance 0.323
#5 · Sataracell 4940004079
distance 0.348 · cross-district
#6 · Punecell 4900013015
distance 0.377
#7 · Punecell 4900001258
distance 0.378
#8 · Solapurcell 4960010436
distance 0.383 · cross-district
#9 · Sataracell 4940007950
distance 0.402 · cross-district
#10 · Sataracell 4940004438
distance 0.402 · cross-district
#11 · Punecell 4900013233
distance 0.406
#12 · Punecell 4900012977
distance 0.407
#13 · Solapurcell 4960010264
distance 0.408 · cross-district
#14 · Punecell 4900003629
distance 0.409
#15 · Sataracell 4940007741
distance 0.413 · cross-district
#16 · Punecell 4900003702
distance 0.413
#17 · Punecell 4900003365
distance 0.415
#18 · Sataracell 4940003837
distance 0.416 · 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":490,"cluster_id":4900000747}}}'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.