{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:H45KNG3OKSECVTRZPHJUYUNWQM","short_pith_number":"pith:H45KNG3O","schema_version":"1.0","canonical_sha256":"3f3aa69b6e54882ace3979d34c51b6832b26f7d27b25b23926f65af0f1346de3","source":{"kind":"arxiv","id":"1512.05228","version":1},"attestation_state":"computed","paper":{"title":"Finding Needles in a Haystack: Missing Tag Detection in Large RFID Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.OH","authors_text":"Jihong Yu, Kehao Wang, Lin Chen","submitted_at":"2015-12-16T16:17:57Z","abstract_excerpt":"Radio frequency identification (RFID) technology has been widely used in missing tag detection to reduce and avoid inventory shrinkage. In this application, promptly finding out the missing event is of paramount importance. However, existing missing tag detection protocols cannot efficiently handle the presence of a large number of unexpected tags whose IDs are not known to the reader, which shackles the time efficiency. To deal with the problem of detecting missing tags in the presence of unexpected tags, this paper introduces a two-phase Bloom filter-based missing tag detection protocol (BMT"},"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":"1512.05228","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.OH","submitted_at":"2015-12-16T16:17:57Z","cross_cats_sorted":[],"title_canon_sha256":"61903c6cce9ce30c5191afc81b46bd6ec72e57f56d42fe62a4f1733363a2a7bb","abstract_canon_sha256":"0d66ad18a5da4a0a6185eca1482aae3108f916947ebc6b6908774679cfb1286e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:24:13.232360Z","signature_b64":"Iu+m5hOyafWAgyTDiVdzpyuk1VvFevbEt4jOjE/5w3f3QnhlwECKU55WTx0H4mK3n6pSesMciqSU3aCw+vvaBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3f3aa69b6e54882ace3979d34c51b6832b26f7d27b25b23926f65af0f1346de3","last_reissued_at":"2026-05-18T01:24:13.231920Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:24:13.231920Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Finding Needles in a Haystack: Missing Tag Detection in Large RFID Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.OH","authors_text":"Jihong Yu, Kehao Wang, Lin Chen","submitted_at":"2015-12-16T16:17:57Z","abstract_excerpt":"Radio frequency identification (RFID) technology has been widely used in missing tag detection to reduce and avoid inventory shrinkage. In this application, promptly finding out the missing event is of paramount importance. However, existing missing tag detection protocols cannot efficiently handle the presence of a large number of unexpected tags whose IDs are not known to the reader, which shackles the time efficiency. To deal with the problem of detecting missing tags in the presence of unexpected tags, this paper introduces a two-phase Bloom filter-based missing tag detection protocol (BMT"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1512.05228","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":"1512.05228","created_at":"2026-05-18T01:24:13.231976+00:00"},{"alias_kind":"arxiv_version","alias_value":"1512.05228v1","created_at":"2026-05-18T01:24:13.231976+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1512.05228","created_at":"2026-05-18T01:24:13.231976+00:00"},{"alias_kind":"pith_short_12","alias_value":"H45KNG3OKSEC","created_at":"2026-05-18T12:29:22.688609+00:00"},{"alias_kind":"pith_short_16","alias_value":"H45KNG3OKSECVTRZ","created_at":"2026-05-18T12:29:22.688609+00:00"},{"alias_kind":"pith_short_8","alias_value":"H45KNG3O","created_at":"2026-05-18T12:29:22.688609+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/H45KNG3OKSECVTRZPHJUYUNWQM","json":"https://pith.science/pith/H45KNG3OKSECVTRZPHJUYUNWQM.json","graph_json":"https://pith.science/api/pith-number/H45KNG3OKSECVTRZPHJUYUNWQM/graph.json","events_json":"https://pith.science/api/pith-number/H45KNG3OKSECVTRZPHJUYUNWQM/events.json","paper":"https://pith.science/paper/H45KNG3O"},"agent_actions":{"view_html":"https://pith.science/pith/H45KNG3OKSECVTRZPHJUYUNWQM","download_json":"https://pith.science/pith/H45KNG3OKSECVTRZPHJUYUNWQM.json","view_paper":"https://pith.science/paper/H45KNG3O","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1512.05228&json=true","fetch_graph":"https://pith.science/api/pith-number/H45KNG3OKSECVTRZPHJUYUNWQM/graph.json","fetch_events":"https://pith.science/api/pith-number/H45KNG3OKSECVTRZPHJUYUNWQM/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/H45KNG3OKSECVTRZPHJUYUNWQM/action/timestamp_anchor","attest_storage":"https://pith.science/pith/H45KNG3OKSECVTRZPHJUYUNWQM/action/storage_attestation","attest_author":"https://pith.science/pith/H45KNG3OKSECVTRZPHJUYUNWQM/action/author_attestation","sign_citation":"https://pith.science/pith/H45KNG3OKSECVTRZPHJUYUNWQM/action/citation_signature","submit_replication":"https://pith.science/pith/H45KNG3OKSECVTRZPHJUYUNWQM/action/replication_record"}},"created_at":"2026-05-18T01:24:13.231976+00:00","updated_at":"2026-05-18T01:24:13.231976+00:00"}