{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:6XIPHRGW2AQ4PZQLBYEHLIWW4Y","short_pith_number":"pith:6XIPHRGW","canonical_record":{"source":{"id":"1704.05708","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-04-19T12:35:17Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"82805b7ef39580cba520c16a254a3b53802665ccd2ecfd26c8e1a466ebad6c30","abstract_canon_sha256":"3cc909f5bd06d54e2df8791bf40eb039affe4cc8d568187ce4e7d243a699c3ee"},"schema_version":"1.0"},"canonical_sha256":"f5d0f3c4d6d021c7e60b0e0875a2d6e62977a8d9debb69d5f40535b167389458","source":{"kind":"arxiv","id":"1704.05708","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1704.05708","created_at":"2026-05-18T00:46:06Z"},{"alias_kind":"arxiv_version","alias_value":"1704.05708v1","created_at":"2026-05-18T00:46:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.05708","created_at":"2026-05-18T00:46:06Z"},{"alias_kind":"pith_short_12","alias_value":"6XIPHRGW2AQ4","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_16","alias_value":"6XIPHRGW2AQ4PZQL","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_8","alias_value":"6XIPHRGW","created_at":"2026-05-18T12:31:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:6XIPHRGW2AQ4PZQLBYEHLIWW4Y","target":"record","payload":{"canonical_record":{"source":{"id":"1704.05708","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-04-19T12:35:17Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"82805b7ef39580cba520c16a254a3b53802665ccd2ecfd26c8e1a466ebad6c30","abstract_canon_sha256":"3cc909f5bd06d54e2df8791bf40eb039affe4cc8d568187ce4e7d243a699c3ee"},"schema_version":"1.0"},"canonical_sha256":"f5d0f3c4d6d021c7e60b0e0875a2d6e62977a8d9debb69d5f40535b167389458","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:46:06.735664Z","signature_b64":"QdsxwGFZ4q1aR7+JeHQXUCCx7YKiDe6FAyMpnk89Q+HeElx4KoNgVqJUfpyZvdCqnz6Pzyf6u8zgMuPsfrgYBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f5d0f3c4d6d021c7e60b0e0875a2d6e62977a8d9debb69d5f40535b167389458","last_reissued_at":"2026-05-18T00:46:06.735172Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:46:06.735172Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1704.05708","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:46:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fEoq0bfrm1AUQUBcxmcpH3yIS/Ackv+252a1AExMPbutJd2tn4w6aWjGaA4zg4enyu/y2KyH5twJSMbdQ+jWDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T16:39:52.816442Z"},"content_sha256":"d6ab95835b029490cb8e008467be479b1206eea1d472268c7b2bfaa735befd96","schema_version":"1.0","event_id":"sha256:d6ab95835b029490cb8e008467be479b1206eea1d472268c7b2bfaa735befd96"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:6XIPHRGW2AQ4PZQLBYEHLIWW4Y","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Deep Learning Framework using Passive WiFi Sensing for Respiration Monitoring","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"S. A. Hassan, S. H. Ahmed, U. M. Khan, Z. Kabir","submitted_at":"2017-04-19T12:35:17Z","abstract_excerpt":"This paper presents an end-to-end deep learning framework using passive WiFi sensing to classify and estimate human respiration activity. A passive radar test-bed is used with two channels where the first channel provides the reference WiFi signal, whereas the other channel provides a surveillance signal that contains reflections from the human target. Adaptive filtering is performed to make the surveillance signal source-data invariant by eliminating the echoes of the direct transmitted signal. We propose a novel convolutional neural network to classify the complex time series data and determ"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.05708","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:46:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ceJZCSs7UaRgzq/oTpfja997g75WSb0BOWcxIQ+hPYFt2OXAx+PFWWxnLRd6xSu0fkUML7ZG6xp1sW2S33wTBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T16:39:52.817219Z"},"content_sha256":"e5a52b0b9db5ab549a7a82c8df4e62ddad751bf63c7b50ade320e1673169a5f2","schema_version":"1.0","event_id":"sha256:e5a52b0b9db5ab549a7a82c8df4e62ddad751bf63c7b50ade320e1673169a5f2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6XIPHRGW2AQ4PZQLBYEHLIWW4Y/bundle.json","state_url":"https://pith.science/pith/6XIPHRGW2AQ4PZQLBYEHLIWW4Y/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6XIPHRGW2AQ4PZQLBYEHLIWW4Y/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":"2026-05-26T16:39:52Z","links":{"resolver":"https://pith.science/pith/6XIPHRGW2AQ4PZQLBYEHLIWW4Y","bundle":"https://pith.science/pith/6XIPHRGW2AQ4PZQLBYEHLIWW4Y/bundle.json","state":"https://pith.science/pith/6XIPHRGW2AQ4PZQLBYEHLIWW4Y/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6XIPHRGW2AQ4PZQLBYEHLIWW4Y/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:6XIPHRGW2AQ4PZQLBYEHLIWW4Y","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":"3cc909f5bd06d54e2df8791bf40eb039affe4cc8d568187ce4e7d243a699c3ee","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-04-19T12:35:17Z","title_canon_sha256":"82805b7ef39580cba520c16a254a3b53802665ccd2ecfd26c8e1a466ebad6c30"},"schema_version":"1.0","source":{"id":"1704.05708","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1704.05708","created_at":"2026-05-18T00:46:06Z"},{"alias_kind":"arxiv_version","alias_value":"1704.05708v1","created_at":"2026-05-18T00:46:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.05708","created_at":"2026-05-18T00:46:06Z"},{"alias_kind":"pith_short_12","alias_value":"6XIPHRGW2AQ4","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_16","alias_value":"6XIPHRGW2AQ4PZQL","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_8","alias_value":"6XIPHRGW","created_at":"2026-05-18T12:31:03Z"}],"graph_snapshots":[{"event_id":"sha256:e5a52b0b9db5ab549a7a82c8df4e62ddad751bf63c7b50ade320e1673169a5f2","target":"graph","created_at":"2026-05-18T00:46:06Z","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":"This paper presents an end-to-end deep learning framework using passive WiFi sensing to classify and estimate human respiration activity. A passive radar test-bed is used with two channels where the first channel provides the reference WiFi signal, whereas the other channel provides a surveillance signal that contains reflections from the human target. Adaptive filtering is performed to make the surveillance signal source-data invariant by eliminating the echoes of the direct transmitted signal. We propose a novel convolutional neural network to classify the complex time series data and determ","authors_text":"S. A. Hassan, S. H. Ahmed, U. M. Khan, Z. Kabir","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-04-19T12:35:17Z","title":"A Deep Learning Framework using Passive WiFi Sensing for Respiration Monitoring"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.05708","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:d6ab95835b029490cb8e008467be479b1206eea1d472268c7b2bfaa735befd96","target":"record","created_at":"2026-05-18T00:46:06Z","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":"3cc909f5bd06d54e2df8791bf40eb039affe4cc8d568187ce4e7d243a699c3ee","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-04-19T12:35:17Z","title_canon_sha256":"82805b7ef39580cba520c16a254a3b53802665ccd2ecfd26c8e1a466ebad6c30"},"schema_version":"1.0","source":{"id":"1704.05708","kind":"arxiv","version":1}},"canonical_sha256":"f5d0f3c4d6d021c7e60b0e0875a2d6e62977a8d9debb69d5f40535b167389458","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f5d0f3c4d6d021c7e60b0e0875a2d6e62977a8d9debb69d5f40535b167389458","first_computed_at":"2026-05-18T00:46:06.735172Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:46:06.735172Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QdsxwGFZ4q1aR7+JeHQXUCCx7YKiDe6FAyMpnk89Q+HeElx4KoNgVqJUfpyZvdCqnz6Pzyf6u8zgMuPsfrgYBw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:46:06.735664Z","signed_message":"canonical_sha256_bytes"},"source_id":"1704.05708","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d6ab95835b029490cb8e008467be479b1206eea1d472268c7b2bfaa735befd96","sha256:e5a52b0b9db5ab549a7a82c8df4e62ddad751bf63c7b50ade320e1673169a5f2"],"state_sha256":"4a38bcf8e2a35794103161aa0483cc21d874327f1396aaafa7f55bd7a554830b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"X1YV03JXAde5Botb3j5t6DAD5DU+FEw5eawXxF26Rw/mpcyTHA6w+j+0wBuujDUVfji20PKqB2lz0KaxGKM5Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T16:39:52.820590Z","bundle_sha256":"6e3ee6d8d6ee7190962e0aa41c1e72fdb21f376e826dca4a6c876f2fd7b0407f"}}