{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:PZPQTESE4TUPUIEFP7CYW6TEC2","short_pith_number":"pith:PZPQTESE","schema_version":"1.0","canonical_sha256":"7e5f099244e4e8fa20857fc58b7a6416b3982437bd1bc23e3b3734af2a87ceeb","source":{"kind":"arxiv","id":"1703.06912","version":1},"attestation_state":"computed","paper":{"title":"Application of backpropagation neural networks to both stages of fingerprinting based WIPS","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"Andreas Wieser, Caifa Zhou","submitted_at":"2017-03-14T20:30:50Z","abstract_excerpt":"We propose a scheme to employ backpropagation neural networks (BPNNs) for both stages of fingerprinting-based indoor positioning using WLAN/WiFi signal strengths (FWIPS): radio map construction during the offline stage, and localization during the online stage. Given a training radio map (TRM), i.e., a set of coordinate vectors and associated WLAN/WiFi signal strengths of the available access points, a BPNN can be trained to output the expected signal strengths for any input position within the region of interest (BPNN-RM). This can be used to provide a continuous representation of the radio m"},"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":"1703.06912","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-03-14T20:30:50Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"b8a84ea97f678c47547a4261099f512dab4120c20a18b773b5dd59c914f9ec85","abstract_canon_sha256":"68bee51086d9156420fdb125a668edec483c8df2dece3593ced1bdb7c999abb9"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:48:13.960333Z","signature_b64":"Ym/xZvAFaG1EhZE4AtwVX9f+iYAWK2uTwJeCFvtSOUv+rUSnRvlWzsiFUTzDCIz30oHy+JqvBgtQFzgta4d9AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7e5f099244e4e8fa20857fc58b7a6416b3982437bd1bc23e3b3734af2a87ceeb","last_reissued_at":"2026-05-18T00:48:13.959711Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:48:13.959711Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Application of backpropagation neural networks to both stages of fingerprinting based WIPS","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"Andreas Wieser, Caifa Zhou","submitted_at":"2017-03-14T20:30:50Z","abstract_excerpt":"We propose a scheme to employ backpropagation neural networks (BPNNs) for both stages of fingerprinting-based indoor positioning using WLAN/WiFi signal strengths (FWIPS): radio map construction during the offline stage, and localization during the online stage. Given a training radio map (TRM), i.e., a set of coordinate vectors and associated WLAN/WiFi signal strengths of the available access points, a BPNN can be trained to output the expected signal strengths for any input position within the region of interest (BPNN-RM). This can be used to provide a continuous representation of the radio m"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.06912","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":"1703.06912","created_at":"2026-05-18T00:48:13.959822+00:00"},{"alias_kind":"arxiv_version","alias_value":"1703.06912v1","created_at":"2026-05-18T00:48:13.959822+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.06912","created_at":"2026-05-18T00:48:13.959822+00:00"},{"alias_kind":"pith_short_12","alias_value":"PZPQTESE4TUP","created_at":"2026-05-18T12:31:37.085036+00:00"},{"alias_kind":"pith_short_16","alias_value":"PZPQTESE4TUPUIEF","created_at":"2026-05-18T12:31:37.085036+00:00"},{"alias_kind":"pith_short_8","alias_value":"PZPQTESE","created_at":"2026-05-18T12:31:37.085036+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/PZPQTESE4TUPUIEFP7CYW6TEC2","json":"https://pith.science/pith/PZPQTESE4TUPUIEFP7CYW6TEC2.json","graph_json":"https://pith.science/api/pith-number/PZPQTESE4TUPUIEFP7CYW6TEC2/graph.json","events_json":"https://pith.science/api/pith-number/PZPQTESE4TUPUIEFP7CYW6TEC2/events.json","paper":"https://pith.science/paper/PZPQTESE"},"agent_actions":{"view_html":"https://pith.science/pith/PZPQTESE4TUPUIEFP7CYW6TEC2","download_json":"https://pith.science/pith/PZPQTESE4TUPUIEFP7CYW6TEC2.json","view_paper":"https://pith.science/paper/PZPQTESE","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1703.06912&json=true","fetch_graph":"https://pith.science/api/pith-number/PZPQTESE4TUPUIEFP7CYW6TEC2/graph.json","fetch_events":"https://pith.science/api/pith-number/PZPQTESE4TUPUIEFP7CYW6TEC2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/PZPQTESE4TUPUIEFP7CYW6TEC2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/PZPQTESE4TUPUIEFP7CYW6TEC2/action/storage_attestation","attest_author":"https://pith.science/pith/PZPQTESE4TUPUIEFP7CYW6TEC2/action/author_attestation","sign_citation":"https://pith.science/pith/PZPQTESE4TUPUIEFP7CYW6TEC2/action/citation_signature","submit_replication":"https://pith.science/pith/PZPQTESE4TUPUIEFP7CYW6TEC2/action/replication_record"}},"created_at":"2026-05-18T00:48:13.959822+00:00","updated_at":"2026-05-18T00:48:13.959822+00:00"}