{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:QOX33AQWRLK3WOC5GLEUKSAJMD","short_pith_number":"pith:QOX33AQW","schema_version":"1.0","canonical_sha256":"83afbd82168ad5bb385d32c945480960cde6f46d346eb31108c169b276cb2970","source":{"kind":"arxiv","id":"1509.05969","version":1},"attestation_state":"computed","paper":{"title":"CLAMShell: Speeding up Crowds for Low-latency Data Labeling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DB","authors_text":"Daniel Haas, Eugene Wu, Jiannan Wang, Michael J. Franklin","submitted_at":"2015-09-20T05:47:32Z","abstract_excerpt":"Data labeling is a necessary but often slow process that impedes the development of interactive systems for modern data analysis. Despite rising demand for manual data labeling, there is a surprising lack of work addressing its high and unpredictable latency. In this paper, we introduce CLAMShell, a system that speeds up crowds in order to achieve consistently low-latency data labeling. We offer a taxonomy of the sources of labeling latency and study several large crowd-sourced labeling deployments to understand their empirical latency profiles. Driven by these insights, we comprehensively tac"},"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":"1509.05969","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2015-09-20T05:47:32Z","cross_cats_sorted":[],"title_canon_sha256":"3ee8ac735b8b6ba4988744ef2190b9fd3627aff9095e63e83e85b93cd42a8df2","abstract_canon_sha256":"41b046ee93b55070b3cfe12b8d528cda85272b6e717ee2d29a5373690db19826"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:32:36.218493Z","signature_b64":"cO+cIw8Xvs0WrvUMUfH5pt0zL2qnS9Kd860gx6pCNclJC6HFXfyamK0itw6ZrlNCBl974o/IXS4mUKml0lz7CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"83afbd82168ad5bb385d32c945480960cde6f46d346eb31108c169b276cb2970","last_reissued_at":"2026-05-18T01:32:36.217960Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:32:36.217960Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"CLAMShell: Speeding up Crowds for Low-latency Data Labeling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DB","authors_text":"Daniel Haas, Eugene Wu, Jiannan Wang, Michael J. Franklin","submitted_at":"2015-09-20T05:47:32Z","abstract_excerpt":"Data labeling is a necessary but often slow process that impedes the development of interactive systems for modern data analysis. Despite rising demand for manual data labeling, there is a surprising lack of work addressing its high and unpredictable latency. In this paper, we introduce CLAMShell, a system that speeds up crowds in order to achieve consistently low-latency data labeling. We offer a taxonomy of the sources of labeling latency and study several large crowd-sourced labeling deployments to understand their empirical latency profiles. Driven by these insights, we comprehensively tac"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1509.05969","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":"1509.05969","created_at":"2026-05-18T01:32:36.218038+00:00"},{"alias_kind":"arxiv_version","alias_value":"1509.05969v1","created_at":"2026-05-18T01:32:36.218038+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1509.05969","created_at":"2026-05-18T01:32:36.218038+00:00"},{"alias_kind":"pith_short_12","alias_value":"QOX33AQWRLK3","created_at":"2026-05-18T12:29:37.295048+00:00"},{"alias_kind":"pith_short_16","alias_value":"QOX33AQWRLK3WOC5","created_at":"2026-05-18T12:29:37.295048+00:00"},{"alias_kind":"pith_short_8","alias_value":"QOX33AQW","created_at":"2026-05-18T12:29:37.295048+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/QOX33AQWRLK3WOC5GLEUKSAJMD","json":"https://pith.science/pith/QOX33AQWRLK3WOC5GLEUKSAJMD.json","graph_json":"https://pith.science/api/pith-number/QOX33AQWRLK3WOC5GLEUKSAJMD/graph.json","events_json":"https://pith.science/api/pith-number/QOX33AQWRLK3WOC5GLEUKSAJMD/events.json","paper":"https://pith.science/paper/QOX33AQW"},"agent_actions":{"view_html":"https://pith.science/pith/QOX33AQWRLK3WOC5GLEUKSAJMD","download_json":"https://pith.science/pith/QOX33AQWRLK3WOC5GLEUKSAJMD.json","view_paper":"https://pith.science/paper/QOX33AQW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1509.05969&json=true","fetch_graph":"https://pith.science/api/pith-number/QOX33AQWRLK3WOC5GLEUKSAJMD/graph.json","fetch_events":"https://pith.science/api/pith-number/QOX33AQWRLK3WOC5GLEUKSAJMD/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QOX33AQWRLK3WOC5GLEUKSAJMD/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QOX33AQWRLK3WOC5GLEUKSAJMD/action/storage_attestation","attest_author":"https://pith.science/pith/QOX33AQWRLK3WOC5GLEUKSAJMD/action/author_attestation","sign_citation":"https://pith.science/pith/QOX33AQWRLK3WOC5GLEUKSAJMD/action/citation_signature","submit_replication":"https://pith.science/pith/QOX33AQWRLK3WOC5GLEUKSAJMD/action/replication_record"}},"created_at":"2026-05-18T01:32:36.218038+00:00","updated_at":"2026-05-18T01:32:36.218038+00:00"}