{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:OEFQ7SO7KXWR7SC3MONDCN26FV","short_pith_number":"pith:OEFQ7SO7","schema_version":"1.0","canonical_sha256":"710b0fc9df55ed1fc85b639a31375e2d5888b9b736a6be71b13852f7e1c0e552","source":{"kind":"arxiv","id":"1810.10533","version":2},"attestation_state":"computed","paper":{"title":"Segmentation Analysis in Human Centric Cyber-Physical Systems using Graphical Lasso","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.AP","stat.ML"],"primary_cat":"cs.LG","authors_text":"Aummul Baneen Manasawala, Costas J. Spanos, Hari Prasanna Das, Huihan Liu, Ioannis C. Konstantakopoulos, Tanya Veeravalli","submitted_at":"2018-10-24T11:08:13Z","abstract_excerpt":"A generalized gamification framework is introduced as a form of smart infrastructure with potential to improve sustainability and energy efficiency by leveraging humans-in-the-loop strategy. The proposed framework enables a Human-Centric Cyber-Physical System using an interface to allow building managers to interact with occupants. The interface is designed for occupant engagement-integration supporting learning of their preferences over resources in addition to understanding how preferences change as a function of external stimuli such as physical control, time or incentives. Towards intellig"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1810.10533","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-10-24T11:08:13Z","cross_cats_sorted":["stat.AP","stat.ML"],"title_canon_sha256":"4af0e85a36a2207c1f8ecd17daeec6128ec0a9fcb54039e0d34832b9ebee5a58","abstract_canon_sha256":"3a8d34d4c06940598d052e5663bf4215f4f98a86b7efa437364feb966035fef6"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:56:01.902161Z","signature_b64":"mqcrgCRJcXhwc6XAWCIfFJJ2Zk7NZ6KTDrsBBijbQJSDdhE5ELFWTo87UdaRihUpeej5Rh5767KKwocbCodfBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"710b0fc9df55ed1fc85b639a31375e2d5888b9b736a6be71b13852f7e1c0e552","last_reissued_at":"2026-05-17T23:56:01.901596Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:56:01.901596Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Segmentation Analysis in Human Centric Cyber-Physical Systems using Graphical Lasso","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.AP","stat.ML"],"primary_cat":"cs.LG","authors_text":"Aummul Baneen Manasawala, Costas J. Spanos, Hari Prasanna Das, Huihan Liu, Ioannis C. Konstantakopoulos, Tanya Veeravalli","submitted_at":"2018-10-24T11:08:13Z","abstract_excerpt":"A generalized gamification framework is introduced as a form of smart infrastructure with potential to improve sustainability and energy efficiency by leveraging humans-in-the-loop strategy. The proposed framework enables a Human-Centric Cyber-Physical System using an interface to allow building managers to interact with occupants. The interface is designed for occupant engagement-integration supporting learning of their preferences over resources in addition to understanding how preferences change as a function of external stimuli such as physical control, time or incentives. Towards intellig"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.10533","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1810.10533","created_at":"2026-05-17T23:56:01.901687+00:00"},{"alias_kind":"arxiv_version","alias_value":"1810.10533v2","created_at":"2026-05-17T23:56:01.901687+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.10533","created_at":"2026-05-17T23:56:01.901687+00:00"},{"alias_kind":"pith_short_12","alias_value":"OEFQ7SO7KXWR","created_at":"2026-05-18T12:32:43.782077+00:00"},{"alias_kind":"pith_short_16","alias_value":"OEFQ7SO7KXWR7SC3","created_at":"2026-05-18T12:32:43.782077+00:00"},{"alias_kind":"pith_short_8","alias_value":"OEFQ7SO7","created_at":"2026-05-18T12:32:43.782077+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/OEFQ7SO7KXWR7SC3MONDCN26FV","json":"https://pith.science/pith/OEFQ7SO7KXWR7SC3MONDCN26FV.json","graph_json":"https://pith.science/api/pith-number/OEFQ7SO7KXWR7SC3MONDCN26FV/graph.json","events_json":"https://pith.science/api/pith-number/OEFQ7SO7KXWR7SC3MONDCN26FV/events.json","paper":"https://pith.science/paper/OEFQ7SO7"},"agent_actions":{"view_html":"https://pith.science/pith/OEFQ7SO7KXWR7SC3MONDCN26FV","download_json":"https://pith.science/pith/OEFQ7SO7KXWR7SC3MONDCN26FV.json","view_paper":"https://pith.science/paper/OEFQ7SO7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1810.10533&json=true","fetch_graph":"https://pith.science/api/pith-number/OEFQ7SO7KXWR7SC3MONDCN26FV/graph.json","fetch_events":"https://pith.science/api/pith-number/OEFQ7SO7KXWR7SC3MONDCN26FV/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/OEFQ7SO7KXWR7SC3MONDCN26FV/action/timestamp_anchor","attest_storage":"https://pith.science/pith/OEFQ7SO7KXWR7SC3MONDCN26FV/action/storage_attestation","attest_author":"https://pith.science/pith/OEFQ7SO7KXWR7SC3MONDCN26FV/action/author_attestation","sign_citation":"https://pith.science/pith/OEFQ7SO7KXWR7SC3MONDCN26FV/action/citation_signature","submit_replication":"https://pith.science/pith/OEFQ7SO7KXWR7SC3MONDCN26FV/action/replication_record"}},"created_at":"2026-05-17T23:56:01.901687+00:00","updated_at":"2026-05-17T23:56:01.901687+00:00"}