{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:TERF4HBEWIEFWOS7N7I5UNXPEV","short_pith_number":"pith:TERF4HBE","canonical_record":{"source":{"id":"2005.02176","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.SP","submitted_at":"2020-05-02T13:40:16Z","cross_cats_sorted":[],"title_canon_sha256":"b75cfa50006d0cfeb73d811c6eb9877d47b8dc31ab5e12148109f9a24ab788cc","abstract_canon_sha256":"abcb9f04ec4442698e23e0069708cae5c286de8d980a50445bcb5bfc3801ee38"},"schema_version":"1.0"},"canonical_sha256":"99225e1c24b2085b3a5f6fd1da36ef25650f18e606e91b52dbf0ed480c7685ad","source":{"kind":"arxiv","id":"2005.02176","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.02176","created_at":"2026-07-05T01:36:30Z"},{"alias_kind":"arxiv_version","alias_value":"2005.02176v2","created_at":"2026-07-05T01:36:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.02176","created_at":"2026-07-05T01:36:30Z"},{"alias_kind":"pith_short_12","alias_value":"TERF4HBEWIEF","created_at":"2026-07-05T01:36:30Z"},{"alias_kind":"pith_short_16","alias_value":"TERF4HBEWIEFWOS7","created_at":"2026-07-05T01:36:30Z"},{"alias_kind":"pith_short_8","alias_value":"TERF4HBE","created_at":"2026-07-05T01:36:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:TERF4HBEWIEFWOS7N7I5UNXPEV","target":"record","payload":{"canonical_record":{"source":{"id":"2005.02176","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.SP","submitted_at":"2020-05-02T13:40:16Z","cross_cats_sorted":[],"title_canon_sha256":"b75cfa50006d0cfeb73d811c6eb9877d47b8dc31ab5e12148109f9a24ab788cc","abstract_canon_sha256":"abcb9f04ec4442698e23e0069708cae5c286de8d980a50445bcb5bfc3801ee38"},"schema_version":"1.0"},"canonical_sha256":"99225e1c24b2085b3a5f6fd1da36ef25650f18e606e91b52dbf0ed480c7685ad","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:36:30.276771Z","signature_b64":"hJUl4+EDZ4O2IIdWiLw5WzHJHc51nxEnx70PVVBCpQ8ssIp/9F44mQQLUqHBfnVUA18MbEn5OTK9a+F5wz5kAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"99225e1c24b2085b3a5f6fd1da36ef25650f18e606e91b52dbf0ed480c7685ad","last_reissued_at":"2026-07-05T01:36:30.276295Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:36:30.276295Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2005.02176","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:36:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DkJo+RZt20VdctPKc7QwYWWePR9s7gON37N0Fxc/kohgz7LcAr5AZxnbbpZQR0p7wrSBaB4T53YZTd6N24GCCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T21:18:11.832355Z"},"content_sha256":"4ed00cce1cfb87985286c6da2025a94bcb88f8512d736b5ba1d5cfc9d27bf602","schema_version":"1.0","event_id":"sha256:4ed00cce1cfb87985286c6da2025a94bcb88f8512d736b5ba1d5cfc9d27bf602"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:TERF4HBEWIEFWOS7N7I5UNXPEV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SleepPoseNet: Multi-View Learning for Sleep Postural Transition Recognition Using UWB","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Maytus Piriyajitakonkij, Nakorn Kumchaiseemak, Nattee Niparnan, Patchanon Warin, Payongkit Lakhan, Pitsharponrn Leelaarporn, Subhas Chandra Mukhopadhyay, Supasorn Suwajanakorn, Theerasarn Pianpanit, Theerawit Wilaiprasitporn","submitted_at":"2020-05-02T13:40:16Z","abstract_excerpt":"Recognizing movements during sleep is crucial for the monitoring of patients with sleep disorders, and the utilization of ultra-wideband (UWB) radar for the classification of human sleep postures has not been explored widely. This study investigates the performance of an off-the-shelf single antenna UWB in a novel application of sleep postural transition (SPT) recognition. The proposed Multi-View Learning, entitled SleepPoseNet or SPN, with time series data augmentation aims to classify four standard SPTs. SPN exhibits an ability to capture both time and frequency features, including the movem"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.02176","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2005.02176/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:36:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kK1cXLXbcu17nbTdyUUXxIGnWvyqmHxkH5M8Q1lG1IQQdNNeXmryKTpfcTflQmIDp8ceeFlBhf3c5EyZmk5QBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T21:18:11.832730Z"},"content_sha256":"70fd79dcdf3324103750b09354aacfa0d72ab6b04934fdb8057a792102e62aef","schema_version":"1.0","event_id":"sha256:70fd79dcdf3324103750b09354aacfa0d72ab6b04934fdb8057a792102e62aef"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TERF4HBEWIEFWOS7N7I5UNXPEV/bundle.json","state_url":"https://pith.science/pith/TERF4HBEWIEFWOS7N7I5UNXPEV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TERF4HBEWIEFWOS7N7I5UNXPEV/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-10T21:18:11Z","links":{"resolver":"https://pith.science/pith/TERF4HBEWIEFWOS7N7I5UNXPEV","bundle":"https://pith.science/pith/TERF4HBEWIEFWOS7N7I5UNXPEV/bundle.json","state":"https://pith.science/pith/TERF4HBEWIEFWOS7N7I5UNXPEV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TERF4HBEWIEFWOS7N7I5UNXPEV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:TERF4HBEWIEFWOS7N7I5UNXPEV","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":"abcb9f04ec4442698e23e0069708cae5c286de8d980a50445bcb5bfc3801ee38","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.SP","submitted_at":"2020-05-02T13:40:16Z","title_canon_sha256":"b75cfa50006d0cfeb73d811c6eb9877d47b8dc31ab5e12148109f9a24ab788cc"},"schema_version":"1.0","source":{"id":"2005.02176","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.02176","created_at":"2026-07-05T01:36:30Z"},{"alias_kind":"arxiv_version","alias_value":"2005.02176v2","created_at":"2026-07-05T01:36:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.02176","created_at":"2026-07-05T01:36:30Z"},{"alias_kind":"pith_short_12","alias_value":"TERF4HBEWIEF","created_at":"2026-07-05T01:36:30Z"},{"alias_kind":"pith_short_16","alias_value":"TERF4HBEWIEFWOS7","created_at":"2026-07-05T01:36:30Z"},{"alias_kind":"pith_short_8","alias_value":"TERF4HBE","created_at":"2026-07-05T01:36:30Z"}],"graph_snapshots":[{"event_id":"sha256:70fd79dcdf3324103750b09354aacfa0d72ab6b04934fdb8057a792102e62aef","target":"graph","created_at":"2026-07-05T01:36:30Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2005.02176/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recognizing movements during sleep is crucial for the monitoring of patients with sleep disorders, and the utilization of ultra-wideband (UWB) radar for the classification of human sleep postures has not been explored widely. This study investigates the performance of an off-the-shelf single antenna UWB in a novel application of sleep postural transition (SPT) recognition. The proposed Multi-View Learning, entitled SleepPoseNet or SPN, with time series data augmentation aims to classify four standard SPTs. SPN exhibits an ability to capture both time and frequency features, including the movem","authors_text":"Maytus Piriyajitakonkij, Nakorn Kumchaiseemak, Nattee Niparnan, Patchanon Warin, Payongkit Lakhan, Pitsharponrn Leelaarporn, Subhas Chandra Mukhopadhyay, Supasorn Suwajanakorn, Theerasarn Pianpanit, Theerawit Wilaiprasitporn","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.SP","submitted_at":"2020-05-02T13:40:16Z","title":"SleepPoseNet: Multi-View Learning for Sleep Postural Transition Recognition Using UWB"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.02176","kind":"arxiv","version":2},"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":"sha256:4ed00cce1cfb87985286c6da2025a94bcb88f8512d736b5ba1d5cfc9d27bf602","target":"record","created_at":"2026-07-05T01:36:30Z","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":"abcb9f04ec4442698e23e0069708cae5c286de8d980a50445bcb5bfc3801ee38","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.SP","submitted_at":"2020-05-02T13:40:16Z","title_canon_sha256":"b75cfa50006d0cfeb73d811c6eb9877d47b8dc31ab5e12148109f9a24ab788cc"},"schema_version":"1.0","source":{"id":"2005.02176","kind":"arxiv","version":2}},"canonical_sha256":"99225e1c24b2085b3a5f6fd1da36ef25650f18e606e91b52dbf0ed480c7685ad","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"99225e1c24b2085b3a5f6fd1da36ef25650f18e606e91b52dbf0ed480c7685ad","first_computed_at":"2026-07-05T01:36:30.276295Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:36:30.276295Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hJUl4+EDZ4O2IIdWiLw5WzHJHc51nxEnx70PVVBCpQ8ssIp/9F44mQQLUqHBfnVUA18MbEn5OTK9a+F5wz5kAw==","signature_status":"signed_v1","signed_at":"2026-07-05T01:36:30.276771Z","signed_message":"canonical_sha256_bytes"},"source_id":"2005.02176","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4ed00cce1cfb87985286c6da2025a94bcb88f8512d736b5ba1d5cfc9d27bf602","sha256:70fd79dcdf3324103750b09354aacfa0d72ab6b04934fdb8057a792102e62aef"],"state_sha256":"4a943458c75a0f05be894827f488796456f444bc47053e9cef352261fc24d70c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rsW56NUsITUTPyn9cVm3+s56EzT8cHRf188K42N0AOxYyQPomN9bzpk34H4eVWjhIDosraZw4wmXOFwZCaTCCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-10T21:18:11.834923Z","bundle_sha256":"ae6816f362f1038f9f0602beca6a545b4c1abab6a4efd577eaf29e5d563be25d"}}