{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:LRMJKAYU6SERPCC6XQAC5B6DY2","short_pith_number":"pith:LRMJKAYU","schema_version":"1.0","canonical_sha256":"5c58950314f48917885ebc002e87c3c69dee7ddedb24d5cc675b37e20fc29fb9","source":{"kind":"arxiv","id":"1404.1884","version":1},"attestation_state":"computed","paper":{"title":"Plug and Play! A Simple, Universal Model for Energy Disaggregation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Guoming Tang, Jingsheng Lei, Jiuyang Tang, Kui Wu","submitted_at":"2014-04-07T19:02:30Z","abstract_excerpt":"Energy disaggregation is to discover the energy consumption of individual appliances from their aggregated energy values. To solve the problem, most existing approaches rely on either appliances' signatures or their state transition patterns, both hard to obtain in practice. Aiming at developing a simple, universal model that works without depending on sophisticated machine learning techniques or auxiliary equipments, we make use of easily accessible knowledge of appliances and the sparsity of the switching events to design a Sparse Switching Event Recovering (SSER) method. By minimizing the t"},"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":"1404.1884","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2014-04-07T19:02:30Z","cross_cats_sorted":[],"title_canon_sha256":"2366d6947a2c248bd130b4dab6c4ff63731395df4c54ca9a334ded49e0be8d76","abstract_canon_sha256":"74a2f421bf63228465a27122585dc3059bca2b4a1b3db866b1404e3f84c099a5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:54:39.999774Z","signature_b64":"/Vik+Q8T5yWA6WmT+HicSKamXC29xjBL1ekMKXnCedbh6uc7awN+HhDONoBRJUcMO6dtLnwq931Z5Y/OR9tFAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5c58950314f48917885ebc002e87c3c69dee7ddedb24d5cc675b37e20fc29fb9","last_reissued_at":"2026-05-18T02:54:39.999324Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:54:39.999324Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Plug and Play! A Simple, Universal Model for Energy Disaggregation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Guoming Tang, Jingsheng Lei, Jiuyang Tang, Kui Wu","submitted_at":"2014-04-07T19:02:30Z","abstract_excerpt":"Energy disaggregation is to discover the energy consumption of individual appliances from their aggregated energy values. To solve the problem, most existing approaches rely on either appliances' signatures or their state transition patterns, both hard to obtain in practice. Aiming at developing a simple, universal model that works without depending on sophisticated machine learning techniques or auxiliary equipments, we make use of easily accessible knowledge of appliances and the sparsity of the switching events to design a Sparse Switching Event Recovering (SSER) method. By minimizing the t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1404.1884","kind":"arxiv","version":1},"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":"1404.1884","created_at":"2026-05-18T02:54:39.999391+00:00"},{"alias_kind":"arxiv_version","alias_value":"1404.1884v1","created_at":"2026-05-18T02:54:39.999391+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1404.1884","created_at":"2026-05-18T02:54:39.999391+00:00"},{"alias_kind":"pith_short_12","alias_value":"LRMJKAYU6SER","created_at":"2026-05-18T12:28:38.356838+00:00"},{"alias_kind":"pith_short_16","alias_value":"LRMJKAYU6SERPCC6","created_at":"2026-05-18T12:28:38.356838+00:00"},{"alias_kind":"pith_short_8","alias_value":"LRMJKAYU","created_at":"2026-05-18T12:28:38.356838+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/LRMJKAYU6SERPCC6XQAC5B6DY2","json":"https://pith.science/pith/LRMJKAYU6SERPCC6XQAC5B6DY2.json","graph_json":"https://pith.science/api/pith-number/LRMJKAYU6SERPCC6XQAC5B6DY2/graph.json","events_json":"https://pith.science/api/pith-number/LRMJKAYU6SERPCC6XQAC5B6DY2/events.json","paper":"https://pith.science/paper/LRMJKAYU"},"agent_actions":{"view_html":"https://pith.science/pith/LRMJKAYU6SERPCC6XQAC5B6DY2","download_json":"https://pith.science/pith/LRMJKAYU6SERPCC6XQAC5B6DY2.json","view_paper":"https://pith.science/paper/LRMJKAYU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1404.1884&json=true","fetch_graph":"https://pith.science/api/pith-number/LRMJKAYU6SERPCC6XQAC5B6DY2/graph.json","fetch_events":"https://pith.science/api/pith-number/LRMJKAYU6SERPCC6XQAC5B6DY2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LRMJKAYU6SERPCC6XQAC5B6DY2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LRMJKAYU6SERPCC6XQAC5B6DY2/action/storage_attestation","attest_author":"https://pith.science/pith/LRMJKAYU6SERPCC6XQAC5B6DY2/action/author_attestation","sign_citation":"https://pith.science/pith/LRMJKAYU6SERPCC6XQAC5B6DY2/action/citation_signature","submit_replication":"https://pith.science/pith/LRMJKAYU6SERPCC6XQAC5B6DY2/action/replication_record"}},"created_at":"2026-05-18T02:54:39.999391+00:00","updated_at":"2026-05-18T02:54:39.999391+00:00"}