{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:WGQPTI2GOZ2FCTG2JOM3Q3OM6U","short_pith_number":"pith:WGQPTI2G","schema_version":"1.0","canonical_sha256":"b1a0f9a3467674514cda4b99b86dccf53337b0d7fb14e90af318d733ee958500","source":{"kind":"arxiv","id":"1508.00230","version":1},"attestation_state":"computed","paper":{"title":"Toward a Robust Sparse Data Representation for Wireless Sensor Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.NE"],"primary_cat":"cs.NI","authors_text":"Dusit Niyato, Hwee-Pink Tan, Mohammad Abu Alsheikh, Shaowei Lin","submitted_at":"2015-08-02T13:12:50Z","abstract_excerpt":"Compressive sensing has been successfully used for optimized operations in wireless sensor networks. However, raw data collected by sensors may be neither originally sparse nor easily transformed into a sparse data representation. This paper addresses the problem of transforming source data collected by sensor nodes into a sparse representation with a few nonzero elements. Our contributions that address three major issues include: 1) an effective method that extracts population sparsity of the data, 2) a sparsity ratio guarantee scheme, and 3) a customized learning algorithm of the sparsifying"},"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":"1508.00230","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2015-08-02T13:12:50Z","cross_cats_sorted":["cs.LG","cs.NE"],"title_canon_sha256":"2f8263cfa9877eead9a4aa88bb61fe3378f1d378dc4859eb63ac5c4882460dad","abstract_canon_sha256":"46b002ae6bee29efe90914dfb5064bf291c0205491991a09ddf709041ebed5be"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:09:06.978094Z","signature_b64":"tfTVzzKGi/LAU005izfqccxkdZKsAUya8sk0SvvCsQt6i3gxI3Ef8/iVeIAt4SUiVtSEKNIE6t7eZIi/N34pAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b1a0f9a3467674514cda4b99b86dccf53337b0d7fb14e90af318d733ee958500","last_reissued_at":"2026-05-18T01:09:06.977711Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:09:06.977711Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Toward a Robust Sparse Data Representation for Wireless Sensor Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.NE"],"primary_cat":"cs.NI","authors_text":"Dusit Niyato, Hwee-Pink Tan, Mohammad Abu Alsheikh, Shaowei Lin","submitted_at":"2015-08-02T13:12:50Z","abstract_excerpt":"Compressive sensing has been successfully used for optimized operations in wireless sensor networks. However, raw data collected by sensors may be neither originally sparse nor easily transformed into a sparse data representation. This paper addresses the problem of transforming source data collected by sensor nodes into a sparse representation with a few nonzero elements. Our contributions that address three major issues include: 1) an effective method that extracts population sparsity of the data, 2) a sparsity ratio guarantee scheme, and 3) a customized learning algorithm of the sparsifying"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1508.00230","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":"1508.00230","created_at":"2026-05-18T01:09:06.977768+00:00"},{"alias_kind":"arxiv_version","alias_value":"1508.00230v1","created_at":"2026-05-18T01:09:06.977768+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1508.00230","created_at":"2026-05-18T01:09:06.977768+00:00"},{"alias_kind":"pith_short_12","alias_value":"WGQPTI2GOZ2F","created_at":"2026-05-18T12:29:47.479230+00:00"},{"alias_kind":"pith_short_16","alias_value":"WGQPTI2GOZ2FCTG2","created_at":"2026-05-18T12:29:47.479230+00:00"},{"alias_kind":"pith_short_8","alias_value":"WGQPTI2G","created_at":"2026-05-18T12:29:47.479230+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/WGQPTI2GOZ2FCTG2JOM3Q3OM6U","json":"https://pith.science/pith/WGQPTI2GOZ2FCTG2JOM3Q3OM6U.json","graph_json":"https://pith.science/api/pith-number/WGQPTI2GOZ2FCTG2JOM3Q3OM6U/graph.json","events_json":"https://pith.science/api/pith-number/WGQPTI2GOZ2FCTG2JOM3Q3OM6U/events.json","paper":"https://pith.science/paper/WGQPTI2G"},"agent_actions":{"view_html":"https://pith.science/pith/WGQPTI2GOZ2FCTG2JOM3Q3OM6U","download_json":"https://pith.science/pith/WGQPTI2GOZ2FCTG2JOM3Q3OM6U.json","view_paper":"https://pith.science/paper/WGQPTI2G","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1508.00230&json=true","fetch_graph":"https://pith.science/api/pith-number/WGQPTI2GOZ2FCTG2JOM3Q3OM6U/graph.json","fetch_events":"https://pith.science/api/pith-number/WGQPTI2GOZ2FCTG2JOM3Q3OM6U/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/WGQPTI2GOZ2FCTG2JOM3Q3OM6U/action/timestamp_anchor","attest_storage":"https://pith.science/pith/WGQPTI2GOZ2FCTG2JOM3Q3OM6U/action/storage_attestation","attest_author":"https://pith.science/pith/WGQPTI2GOZ2FCTG2JOM3Q3OM6U/action/author_attestation","sign_citation":"https://pith.science/pith/WGQPTI2GOZ2FCTG2JOM3Q3OM6U/action/citation_signature","submit_replication":"https://pith.science/pith/WGQPTI2GOZ2FCTG2JOM3Q3OM6U/action/replication_record"}},"created_at":"2026-05-18T01:09:06.977768+00:00","updated_at":"2026-05-18T01:09:06.977768+00:00"}