{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:OIIQ7CQOGJRXKX4224HPFGKVBN","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"a64598f0f3371bf61ab23e3169c4b5f8617d9e99f3f232b65c1abb0fbeef515c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-10-31T15:10:20Z","title_canon_sha256":"3f0a8a04003ce3036ced60f364f5d9c89b0e274b073c87b00f3ccc080e7d9aea"},"schema_version":"1.0","source":{"id":"1410.8766","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1410.8766","created_at":"2026-05-18T02:38:53Z"},{"alias_kind":"arxiv_version","alias_value":"1410.8766v1","created_at":"2026-05-18T02:38:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1410.8766","created_at":"2026-05-18T02:38:53Z"},{"alias_kind":"pith_short_12","alias_value":"OIIQ7CQOGJRX","created_at":"2026-05-18T12:28:41Z"},{"alias_kind":"pith_short_16","alias_value":"OIIQ7CQOGJRXKX42","created_at":"2026-05-18T12:28:41Z"},{"alias_kind":"pith_short_8","alias_value":"OIIQ7CQO","created_at":"2026-05-18T12:28:41Z"}],"graph_snapshots":[{"event_id":"sha256:2b0f353eb229397223b04bc5c2f50a4e30b392a6bbcee5ae8568c78c75e7ce8e","target":"graph","created_at":"2026-05-18T02:38:53Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"In this paper we penetrate and extend the notion of local constancy in graphical models that has been introduced by Honorio et al. (2009). We propose Neighborhood-Fused Lasso, a method for model selection in high-dimensional graphical models, leveraging locality information. Our approach is based on an extension of the idea of node-wise regression (Meinshausen-B\\\"{u}hlmann, 2006) by adding a fusion penalty. We propose a fast numerical algorithm for our approach, and provide theoretical and numerical evidence for the fact that our methodology outperforms related approaches that are ignoring the","authors_text":"Apratim Ganguly, Wolfgang Polonik","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-10-31T15:10:20Z","title":"Local Neighborhood Fusion in Locally Constant Gaussian Graphical Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1410.8766","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:b0c823e4c753fb6ad1136a896924dacfce2751b1aa99c9e99c8c6b0609eec809","target":"record","created_at":"2026-05-18T02:38:53Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"a64598f0f3371bf61ab23e3169c4b5f8617d9e99f3f232b65c1abb0fbeef515c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-10-31T15:10:20Z","title_canon_sha256":"3f0a8a04003ce3036ced60f364f5d9c89b0e274b073c87b00f3ccc080e7d9aea"},"schema_version":"1.0","source":{"id":"1410.8766","kind":"arxiv","version":1}},"canonical_sha256":"72110f8a0e3263755f9ad70ef299550b4fb6d1f292460436b036189f1eadbfa6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"72110f8a0e3263755f9ad70ef299550b4fb6d1f292460436b036189f1eadbfa6","first_computed_at":"2026-05-18T02:38:53.754261Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:38:53.754261Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sF0MeJxjoLkrvAsmiV1dja/oSry8T0YYNVP7HpJKrud5pYyhOwXhJ+7BZnrGR8RGjgFSulAVu7xw5Fzpky0SCA==","signature_status":"signed_v1","signed_at":"2026-05-18T02:38:53.754779Z","signed_message":"canonical_sha256_bytes"},"source_id":"1410.8766","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b0c823e4c753fb6ad1136a896924dacfce2751b1aa99c9e99c8c6b0609eec809","sha256:2b0f353eb229397223b04bc5c2f50a4e30b392a6bbcee5ae8568c78c75e7ce8e"],"state_sha256":"1097013140875b2fce30a4ea46a86f9b3915bf377aea4624a2975fb5d33a8df6"}