{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:TXIVNADJSCKKHY4CDIST6N5KJP","short_pith_number":"pith:TXIVNADJ","schema_version":"1.0","canonical_sha256":"9dd15680699094a3e3821a253f37aa4beaf2f9ddcb23952e5d510f9c0d264ea6","source":{"kind":"arxiv","id":"2605.23085","version":1},"attestation_state":"computed","paper":{"title":"Remind Me To Check The Stove Before I Leave The House: Authoring Personalized Context-Aware Smart Home Reminders Using Everyday Language","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Avi K Srinivasan, Maya Lampi, Reina Szeyi Chan, Sujendra Jayant Gharat, Xiang Zhi Tan, Yueran Jia","submitted_at":"2026-05-21T22:36:02Z","abstract_excerpt":"Reminder systems commonly rely on fixed schedules, location triggers, or simple rules, limiting their ability to leverage the rich sensing capabilities of modern smart homes. A key challenge lies in enabling users to specify context-aware reminders without requiring complex configurations. We present a system pipeline that supports reminder authoring through natural language and conversational interaction. The pipeline translates user requests into structured representations and executable logic, incorporating time-based, activity-based, sensor-based, and state-based conditions. We conducted 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":"2605.23085","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2026-05-21T22:36:02Z","cross_cats_sorted":[],"title_canon_sha256":"1f402abd8d951e3ecf7df65f47563cbebb2f9e6b844944d3f22ffa1fd6e12f54","abstract_canon_sha256":"adf963255dcb5f05a33530265bc06350dfadb8304c120c77553480b336ee71c6"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-25T02:01:37.685751Z","signature_b64":"s6CWx2ozw6LTN7RzozGEb8HCcQNlcSt24msH0tNk+UYxJbpjkVepCfj9RuKKVvre7PtW4fYSYV1W63jhB5aKCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9dd15680699094a3e3821a253f37aa4beaf2f9ddcb23952e5d510f9c0d264ea6","last_reissued_at":"2026-05-25T02:01:37.685076Z","signature_status":"signed_v1","first_computed_at":"2026-05-25T02:01:37.685076Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Remind Me To Check The Stove Before I Leave The House: Authoring Personalized Context-Aware Smart Home Reminders Using Everyday Language","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Avi K Srinivasan, Maya Lampi, Reina Szeyi Chan, Sujendra Jayant Gharat, Xiang Zhi Tan, Yueran Jia","submitted_at":"2026-05-21T22:36:02Z","abstract_excerpt":"Reminder systems commonly rely on fixed schedules, location triggers, or simple rules, limiting their ability to leverage the rich sensing capabilities of modern smart homes. A key challenge lies in enabling users to specify context-aware reminders without requiring complex configurations. We present a system pipeline that supports reminder authoring through natural language and conversational interaction. The pipeline translates user requests into structured representations and executable logic, incorporating time-based, activity-based, sensor-based, and state-based conditions. We conducted t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.23085","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2605.23085/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2605.23085","created_at":"2026-05-25T02:01:37.685182+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.23085v1","created_at":"2026-05-25T02:01:37.685182+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.23085","created_at":"2026-05-25T02:01:37.685182+00:00"},{"alias_kind":"pith_short_12","alias_value":"TXIVNADJSCKK","created_at":"2026-05-25T02:01:37.685182+00:00"},{"alias_kind":"pith_short_16","alias_value":"TXIVNADJSCKKHY4C","created_at":"2026-05-25T02:01:37.685182+00:00"},{"alias_kind":"pith_short_8","alias_value":"TXIVNADJ","created_at":"2026-05-25T02:01:37.685182+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/TXIVNADJSCKKHY4CDIST6N5KJP","json":"https://pith.science/pith/TXIVNADJSCKKHY4CDIST6N5KJP.json","graph_json":"https://pith.science/api/pith-number/TXIVNADJSCKKHY4CDIST6N5KJP/graph.json","events_json":"https://pith.science/api/pith-number/TXIVNADJSCKKHY4CDIST6N5KJP/events.json","paper":"https://pith.science/paper/TXIVNADJ"},"agent_actions":{"view_html":"https://pith.science/pith/TXIVNADJSCKKHY4CDIST6N5KJP","download_json":"https://pith.science/pith/TXIVNADJSCKKHY4CDIST6N5KJP.json","view_paper":"https://pith.science/paper/TXIVNADJ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.23085&json=true","fetch_graph":"https://pith.science/api/pith-number/TXIVNADJSCKKHY4CDIST6N5KJP/graph.json","fetch_events":"https://pith.science/api/pith-number/TXIVNADJSCKKHY4CDIST6N5KJP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/TXIVNADJSCKKHY4CDIST6N5KJP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/TXIVNADJSCKKHY4CDIST6N5KJP/action/storage_attestation","attest_author":"https://pith.science/pith/TXIVNADJSCKKHY4CDIST6N5KJP/action/author_attestation","sign_citation":"https://pith.science/pith/TXIVNADJSCKKHY4CDIST6N5KJP/action/citation_signature","submit_replication":"https://pith.science/pith/TXIVNADJSCKKHY4CDIST6N5KJP/action/replication_record"}},"created_at":"2026-05-25T02:01:37.685182+00:00","updated_at":"2026-05-25T02:01:37.685182+00:00"}