{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:Z5FO7WNX63UBOBP4LME7LXU5VP","short_pith_number":"pith:Z5FO7WNX","schema_version":"1.0","canonical_sha256":"cf4aefd9b7f6e81705fc5b09f5de9dabcf58890c833fb921b9bac294170459f5","source":{"kind":"arxiv","id":"1706.04347","version":1},"attestation_state":"computed","paper":{"title":"WLS-Based Self-Localization Using Perturbed Anchor Positions and RSSI Measurements","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Brano Kusy, Neil W. Bergmann, Raja Jurdak, Reza Arablouei, Vikram Kumar","submitted_at":"2017-06-14T07:52:35Z","abstract_excerpt":"We consider the problem of self-localization by a resource-constrained node within a network given radio signal strength indicator (RSSI) measurements from a set of anchor nodes where the RSSI measurements as well as the anchor position information are subject to perturbation. In order to achieve a computationally efficient estimate for the unknown position, we minimize a weighted sum-square-distance-error cost function in an iterative fashion utilizing the gradient-descent method. We calculate the weights in the cost function by taking into account perturbations in both RSSI measurements and "},"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":"1706.04347","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2017-06-14T07:52:35Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"5599c53708572b0e17462fad6953477a2b433f67782fb779108789873d6213c4","abstract_canon_sha256":"c309e8e1410aa39afe87770db9dbb08501395b97392406bfbbbeaa546ad0aa2a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:42:22.938560Z","signature_b64":"9VIuWXudNmgbd7lGu0yUdcWfrP//nO3TlgqDT/0wfvPxS/lGQjmqb2rJwQNSoXcXnFdGffGRTIZT2ZqUtHGHDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cf4aefd9b7f6e81705fc5b09f5de9dabcf58890c833fb921b9bac294170459f5","last_reissued_at":"2026-05-18T00:42:22.938040Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:42:22.938040Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"WLS-Based Self-Localization Using Perturbed Anchor Positions and RSSI Measurements","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Brano Kusy, Neil W. Bergmann, Raja Jurdak, Reza Arablouei, Vikram Kumar","submitted_at":"2017-06-14T07:52:35Z","abstract_excerpt":"We consider the problem of self-localization by a resource-constrained node within a network given radio signal strength indicator (RSSI) measurements from a set of anchor nodes where the RSSI measurements as well as the anchor position information are subject to perturbation. In order to achieve a computationally efficient estimate for the unknown position, we minimize a weighted sum-square-distance-error cost function in an iterative fashion utilizing the gradient-descent method. We calculate the weights in the cost function by taking into account perturbations in both RSSI measurements and "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.04347","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":"1706.04347","created_at":"2026-05-18T00:42:22.938117+00:00"},{"alias_kind":"arxiv_version","alias_value":"1706.04347v1","created_at":"2026-05-18T00:42:22.938117+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.04347","created_at":"2026-05-18T00:42:22.938117+00:00"},{"alias_kind":"pith_short_12","alias_value":"Z5FO7WNX63UB","created_at":"2026-05-18T12:31:59.375834+00:00"},{"alias_kind":"pith_short_16","alias_value":"Z5FO7WNX63UBOBP4","created_at":"2026-05-18T12:31:59.375834+00:00"},{"alias_kind":"pith_short_8","alias_value":"Z5FO7WNX","created_at":"2026-05-18T12:31:59.375834+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/Z5FO7WNX63UBOBP4LME7LXU5VP","json":"https://pith.science/pith/Z5FO7WNX63UBOBP4LME7LXU5VP.json","graph_json":"https://pith.science/api/pith-number/Z5FO7WNX63UBOBP4LME7LXU5VP/graph.json","events_json":"https://pith.science/api/pith-number/Z5FO7WNX63UBOBP4LME7LXU5VP/events.json","paper":"https://pith.science/paper/Z5FO7WNX"},"agent_actions":{"view_html":"https://pith.science/pith/Z5FO7WNX63UBOBP4LME7LXU5VP","download_json":"https://pith.science/pith/Z5FO7WNX63UBOBP4LME7LXU5VP.json","view_paper":"https://pith.science/paper/Z5FO7WNX","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1706.04347&json=true","fetch_graph":"https://pith.science/api/pith-number/Z5FO7WNX63UBOBP4LME7LXU5VP/graph.json","fetch_events":"https://pith.science/api/pith-number/Z5FO7WNX63UBOBP4LME7LXU5VP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/Z5FO7WNX63UBOBP4LME7LXU5VP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/Z5FO7WNX63UBOBP4LME7LXU5VP/action/storage_attestation","attest_author":"https://pith.science/pith/Z5FO7WNX63UBOBP4LME7LXU5VP/action/author_attestation","sign_citation":"https://pith.science/pith/Z5FO7WNX63UBOBP4LME7LXU5VP/action/citation_signature","submit_replication":"https://pith.science/pith/Z5FO7WNX63UBOBP4LME7LXU5VP/action/replication_record"}},"created_at":"2026-05-18T00:42:22.938117+00:00","updated_at":"2026-05-18T00:42:22.938117+00:00"}