{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:KFIJP432PY67EQRAQROCYR6I74","short_pith_number":"pith:KFIJP432","schema_version":"1.0","canonical_sha256":"515097f37a7e3df24220845c2c47c8ff2f17c5ba4e82d45b080110048236b1e0","source":{"kind":"arxiv","id":"1701.04148","version":3},"attestation_state":"computed","paper":{"title":"SF-sketch: A Two-stage Sketch for Data Streams","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DS","authors_text":"Bin Cui, Gaogang Xie, Lingtong Liu, Muhammad Shahzad, Tong Yang, Xiaoming Li, Yibo Yan, Yulong Shen","submitted_at":"2017-01-16T02:51:22Z","abstract_excerpt":"A sketch is a probabilistic data structure used to record frequencies of items in a multi-set. Sketches are widely used in various fields, especially those that involve processing and storing data streams. In streaming applications with high data rates, a sketch \"fills up\" very quickly. Thus, its contents are periodically transferred to the remote collector, which is responsible for answering queries. In this paper, we propose a new sketch, called Slim-Fat (SF) sketch, which has a significantly higher accuracy compared to prior art, a much smaller memory footprint, and at the same time achieve"},"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":"1701.04148","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DS","submitted_at":"2017-01-16T02:51:22Z","cross_cats_sorted":[],"title_canon_sha256":"70d666dff131e45be06134c8405d413334c89553923786ac49f6d130804db244","abstract_canon_sha256":"348113f8f328a5aff1288c47e756ba9d063629b994394874749e008b2142330b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:51:11.824076Z","signature_b64":"yW4qVqnpNsMU8xKhhD9I3NXfAHlgX90oGLs+vuwvBVNP4RJTE2be8geWz4cUXjINTmVe+6H7iYUdnhFAhSgDBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"515097f37a7e3df24220845c2c47c8ff2f17c5ba4e82d45b080110048236b1e0","last_reissued_at":"2026-05-18T00:51:11.823175Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:51:11.823175Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"SF-sketch: A Two-stage Sketch for Data Streams","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DS","authors_text":"Bin Cui, Gaogang Xie, Lingtong Liu, Muhammad Shahzad, Tong Yang, Xiaoming Li, Yibo Yan, Yulong Shen","submitted_at":"2017-01-16T02:51:22Z","abstract_excerpt":"A sketch is a probabilistic data structure used to record frequencies of items in a multi-set. Sketches are widely used in various fields, especially those that involve processing and storing data streams. In streaming applications with high data rates, a sketch \"fills up\" very quickly. Thus, its contents are periodically transferred to the remote collector, which is responsible for answering queries. In this paper, we propose a new sketch, called Slim-Fat (SF) sketch, which has a significantly higher accuracy compared to prior art, a much smaller memory footprint, and at the same time achieve"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1701.04148","kind":"arxiv","version":3},"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":"1701.04148","created_at":"2026-05-18T00:51:11.823309+00:00"},{"alias_kind":"arxiv_version","alias_value":"1701.04148v3","created_at":"2026-05-18T00:51:11.823309+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1701.04148","created_at":"2026-05-18T00:51:11.823309+00:00"},{"alias_kind":"pith_short_12","alias_value":"KFIJP432PY67","created_at":"2026-05-18T12:31:24.725408+00:00"},{"alias_kind":"pith_short_16","alias_value":"KFIJP432PY67EQRA","created_at":"2026-05-18T12:31:24.725408+00:00"},{"alias_kind":"pith_short_8","alias_value":"KFIJP432","created_at":"2026-05-18T12:31:24.725408+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/KFIJP432PY67EQRAQROCYR6I74","json":"https://pith.science/pith/KFIJP432PY67EQRAQROCYR6I74.json","graph_json":"https://pith.science/api/pith-number/KFIJP432PY67EQRAQROCYR6I74/graph.json","events_json":"https://pith.science/api/pith-number/KFIJP432PY67EQRAQROCYR6I74/events.json","paper":"https://pith.science/paper/KFIJP432"},"agent_actions":{"view_html":"https://pith.science/pith/KFIJP432PY67EQRAQROCYR6I74","download_json":"https://pith.science/pith/KFIJP432PY67EQRAQROCYR6I74.json","view_paper":"https://pith.science/paper/KFIJP432","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1701.04148&json=true","fetch_graph":"https://pith.science/api/pith-number/KFIJP432PY67EQRAQROCYR6I74/graph.json","fetch_events":"https://pith.science/api/pith-number/KFIJP432PY67EQRAQROCYR6I74/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/KFIJP432PY67EQRAQROCYR6I74/action/timestamp_anchor","attest_storage":"https://pith.science/pith/KFIJP432PY67EQRAQROCYR6I74/action/storage_attestation","attest_author":"https://pith.science/pith/KFIJP432PY67EQRAQROCYR6I74/action/author_attestation","sign_citation":"https://pith.science/pith/KFIJP432PY67EQRAQROCYR6I74/action/citation_signature","submit_replication":"https://pith.science/pith/KFIJP432PY67EQRAQROCYR6I74/action/replication_record"}},"created_at":"2026-05-18T00:51:11.823309+00:00","updated_at":"2026-05-18T00:51:11.823309+00:00"}