{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:HTI4UM6BAUUTG234ZUQ2ERYKUP","short_pith_number":"pith:HTI4UM6B","canonical_record":{"source":{"id":"1903.07032","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2019-03-17T06:07:11Z","cross_cats_sorted":[],"title_canon_sha256":"d751c7556e8972bc60125b42ce294da3fcf13de73a952c44db750e9b89c61c12","abstract_canon_sha256":"9d3029a90a7513f7c6ffe7d234432064bc648737edbdf60b813bc61095c38e0f"},"schema_version":"1.0"},"canonical_sha256":"3cd1ca33c10529336b7ccd21a2470aa3c09bc69210823621af2f9137c8389ba1","source":{"kind":"arxiv","id":"1903.07032","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.07032","created_at":"2026-05-17T23:51:04Z"},{"alias_kind":"arxiv_version","alias_value":"1903.07032v1","created_at":"2026-05-17T23:51:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.07032","created_at":"2026-05-17T23:51:04Z"},{"alias_kind":"pith_short_12","alias_value":"HTI4UM6BAUUT","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_16","alias_value":"HTI4UM6BAUUTG234","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_8","alias_value":"HTI4UM6B","created_at":"2026-05-18T12:33:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:HTI4UM6BAUUTG234ZUQ2ERYKUP","target":"record","payload":{"canonical_record":{"source":{"id":"1903.07032","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2019-03-17T06:07:11Z","cross_cats_sorted":[],"title_canon_sha256":"d751c7556e8972bc60125b42ce294da3fcf13de73a952c44db750e9b89c61c12","abstract_canon_sha256":"9d3029a90a7513f7c6ffe7d234432064bc648737edbdf60b813bc61095c38e0f"},"schema_version":"1.0"},"canonical_sha256":"3cd1ca33c10529336b7ccd21a2470aa3c09bc69210823621af2f9137c8389ba1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:51:04.461739Z","signature_b64":"SoU5d2gkkCUKiwaUNPWurKNKpy95piL+5NitvqfqxqCTN4jAijqZ0ufNEEi2O1SF3HsKDiV/h+EZqKEvlAm5Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3cd1ca33c10529336b7ccd21a2470aa3c09bc69210823621af2f9137c8389ba1","last_reissued_at":"2026-05-17T23:51:04.461276Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:51:04.461276Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1903.07032","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:51:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rNWEn1DNvwF2ZxHSKv//GS3KI6sNK/py3w+Y8EPTJZTQXTYdO9oeKWCX6jmgQFnTbT6KTSHs+FxiN5+sbLEtCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T19:39:00.107576Z"},"content_sha256":"0868a31eea6a0f07eca82bb8aad83885963ace496b6e035048fecf27a2d04a65","schema_version":"1.0","event_id":"sha256:0868a31eea6a0f07eca82bb8aad83885963ace496b6e035048fecf27a2d04a65"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:HTI4UM6BAUUTG234ZUQ2ERYKUP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"TurkScanner: Predicting the Hourly Wage of Microtasks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Chun-Wei Chiang, Jeffrey Bigham, Saiph Savage, Susumu Saito, Teppei Nakano, Tetsunori Kobayashi","submitted_at":"2019-03-17T06:07:11Z","abstract_excerpt":"Workers in crowd markets struggle to earn a living. One reason for this is that it is difficult for workers to accurately gauge the hourly wages of microtasks, and they consequently end up performing labor with little pay. In general, workers are provided with little information about tasks, and are left to rely on noisy signals, such as textual description of the task or rating of the requester. This study explores various computational methods for predicting the working times (and thus hourly wages) required for tasks based on data collected from other workers completing crowd work. We provi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.07032","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:51:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"C5oTIiy+wQ+u5PnCUiihgiTmiza+yOdJ1pg2KpvFKWztlquqP0qDKGlqnQHvY34RyxDydouc9YAuSXXT/xzfAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T19:39:00.107923Z"},"content_sha256":"f693b8f7a5a27c40f48b249fd70819cd7666f5a16ee47eb1bf4bc958193dddaa","schema_version":"1.0","event_id":"sha256:f693b8f7a5a27c40f48b249fd70819cd7666f5a16ee47eb1bf4bc958193dddaa"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HTI4UM6BAUUTG234ZUQ2ERYKUP/bundle.json","state_url":"https://pith.science/pith/HTI4UM6BAUUTG234ZUQ2ERYKUP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HTI4UM6BAUUTG234ZUQ2ERYKUP/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-01T19:39:00Z","links":{"resolver":"https://pith.science/pith/HTI4UM6BAUUTG234ZUQ2ERYKUP","bundle":"https://pith.science/pith/HTI4UM6BAUUTG234ZUQ2ERYKUP/bundle.json","state":"https://pith.science/pith/HTI4UM6BAUUTG234ZUQ2ERYKUP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HTI4UM6BAUUTG234ZUQ2ERYKUP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:HTI4UM6BAUUTG234ZUQ2ERYKUP","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"9d3029a90a7513f7c6ffe7d234432064bc648737edbdf60b813bc61095c38e0f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2019-03-17T06:07:11Z","title_canon_sha256":"d751c7556e8972bc60125b42ce294da3fcf13de73a952c44db750e9b89c61c12"},"schema_version":"1.0","source":{"id":"1903.07032","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.07032","created_at":"2026-05-17T23:51:04Z"},{"alias_kind":"arxiv_version","alias_value":"1903.07032v1","created_at":"2026-05-17T23:51:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.07032","created_at":"2026-05-17T23:51:04Z"},{"alias_kind":"pith_short_12","alias_value":"HTI4UM6BAUUT","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_16","alias_value":"HTI4UM6BAUUTG234","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_8","alias_value":"HTI4UM6B","created_at":"2026-05-18T12:33:18Z"}],"graph_snapshots":[{"event_id":"sha256:f693b8f7a5a27c40f48b249fd70819cd7666f5a16ee47eb1bf4bc958193dddaa","target":"graph","created_at":"2026-05-17T23:51:04Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Workers in crowd markets struggle to earn a living. One reason for this is that it is difficult for workers to accurately gauge the hourly wages of microtasks, and they consequently end up performing labor with little pay. In general, workers are provided with little information about tasks, and are left to rely on noisy signals, such as textual description of the task or rating of the requester. This study explores various computational methods for predicting the working times (and thus hourly wages) required for tasks based on data collected from other workers completing crowd work. We provi","authors_text":"Chun-Wei Chiang, Jeffrey Bigham, Saiph Savage, Susumu Saito, Teppei Nakano, Tetsunori Kobayashi","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2019-03-17T06:07:11Z","title":"TurkScanner: Predicting the Hourly Wage of Microtasks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.07032","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:0868a31eea6a0f07eca82bb8aad83885963ace496b6e035048fecf27a2d04a65","target":"record","created_at":"2026-05-17T23:51:04Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"9d3029a90a7513f7c6ffe7d234432064bc648737edbdf60b813bc61095c38e0f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2019-03-17T06:07:11Z","title_canon_sha256":"d751c7556e8972bc60125b42ce294da3fcf13de73a952c44db750e9b89c61c12"},"schema_version":"1.0","source":{"id":"1903.07032","kind":"arxiv","version":1}},"canonical_sha256":"3cd1ca33c10529336b7ccd21a2470aa3c09bc69210823621af2f9137c8389ba1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3cd1ca33c10529336b7ccd21a2470aa3c09bc69210823621af2f9137c8389ba1","first_computed_at":"2026-05-17T23:51:04.461276Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:51:04.461276Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SoU5d2gkkCUKiwaUNPWurKNKpy95piL+5NitvqfqxqCTN4jAijqZ0ufNEEi2O1SF3HsKDiV/h+EZqKEvlAm5Aw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:51:04.461739Z","signed_message":"canonical_sha256_bytes"},"source_id":"1903.07032","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0868a31eea6a0f07eca82bb8aad83885963ace496b6e035048fecf27a2d04a65","sha256:f693b8f7a5a27c40f48b249fd70819cd7666f5a16ee47eb1bf4bc958193dddaa"],"state_sha256":"f6b3188618f5a87fa58b2e41e43df14c5eb5c1b6cde836e9e7dfbfcffcc193a8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JXaOK6BpwC1SY0fLEYuD/HMj6pm8WXd+jxRZMagfUJ/sKvRC2cliGecS/a6jSRUeomsn+ERXUOkS2oM3ulNnAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T19:39:00.110129Z","bundle_sha256":"b8b1446c5719e4cd74a32563e47a9fdb4d37a01d46e3eb66df9ace0f8f60850c"}}