{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:CBYRC4BSTKTSAIIYZVAPRBHGY4","short_pith_number":"pith:CBYRC4BS","canonical_record":{"source":{"id":"1403.0783","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2014-03-04T13:21:39Z","cross_cats_sorted":[],"title_canon_sha256":"329261f954e28c095291f48e5563d694e41b97508fe3e5e287fb2c24f6e0742b","abstract_canon_sha256":"a0bb9f2b08a7ca71a4c7de091513c46e746c6b641f90a8db73d3c8eebbf7f199"},"schema_version":"1.0"},"canonical_sha256":"10711170329aa7202118cd40f884e6c73334159f7f06a81686a7b1e1a80eefc4","source":{"kind":"arxiv","id":"1403.0783","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1403.0783","created_at":"2026-05-18T01:11:00Z"},{"alias_kind":"arxiv_version","alias_value":"1403.0783v1","created_at":"2026-05-18T01:11:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1403.0783","created_at":"2026-05-18T01:11:00Z"},{"alias_kind":"pith_short_12","alias_value":"CBYRC4BSTKTS","created_at":"2026-05-18T12:28:22Z"},{"alias_kind":"pith_short_16","alias_value":"CBYRC4BSTKTSAIIY","created_at":"2026-05-18T12:28:22Z"},{"alias_kind":"pith_short_8","alias_value":"CBYRC4BS","created_at":"2026-05-18T12:28:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:CBYRC4BSTKTSAIIYZVAPRBHGY4","target":"record","payload":{"canonical_record":{"source":{"id":"1403.0783","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2014-03-04T13:21:39Z","cross_cats_sorted":[],"title_canon_sha256":"329261f954e28c095291f48e5563d694e41b97508fe3e5e287fb2c24f6e0742b","abstract_canon_sha256":"a0bb9f2b08a7ca71a4c7de091513c46e746c6b641f90a8db73d3c8eebbf7f199"},"schema_version":"1.0"},"canonical_sha256":"10711170329aa7202118cd40f884e6c73334159f7f06a81686a7b1e1a80eefc4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:11:00.492189Z","signature_b64":"xRJ+uLVLSPZ4+NUmP32bctGeNn0y7o5WcTRSlryu6OmRdeWvi29DbyOKKTuzym6o8nqzhfMH3k7ROxdxFaZfDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"10711170329aa7202118cd40f884e6c73334159f7f06a81686a7b1e1a80eefc4","last_reissued_at":"2026-05-18T01:11:00.491583Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:11:00.491583Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1403.0783","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":"2026-05-18T01:11:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RXN5VYaDp6OOtBAI6YTINSK6r6Qu6SYC4AMLcnJLEErz6MG4sRnybDXsqHAbJUJfHgbVxT/MCOCxqmQTgbfBBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T14:48:49.061404Z"},"content_sha256":"f68a1442e1e3f0a2c9b6aec8c6dafce1447a470affd46895eab8adadaf6426f6","schema_version":"1.0","event_id":"sha256:f68a1442e1e3f0a2c9b6aec8c6dafce1447a470affd46895eab8adadaf6426f6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:CBYRC4BSTKTSAIIYZVAPRBHGY4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Uncertainty in Crowd Data Sourcing under Structural Constraints","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DB","authors_text":"Antoine Amarilli, Tova Milo, Yael Amsterdamer","submitted_at":"2014-03-04T13:21:39Z","abstract_excerpt":"Applications extracting data from crowdsourcing platforms must deal with the uncertainty of crowd answers in two different ways: first, by deriving estimates of the correct value from the answers; second, by choosing crowd questions whose answers are expected to minimize this uncertainty relative to the overall data collection goal. Such problems are already challenging when we assume that questions are unrelated and answers are independent, but they are even more complicated when we assume that the unknown values follow hard structural constraints (such as monotonicity).\n  In this vision pape"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1403.0783","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":"2026-05-18T01:11:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tUMF8uBe/nfUOuMSuwpKepKWI/BEM1gVsid5etf7vvZ1gpXAxsFQjnT0A6LX4GS+G7YicgtfytBs1yoQH5ZCBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T14:48:49.061749Z"},"content_sha256":"013e8743893f65a1f3492564448ad9966e1d21b21a1890fdf7ccbae98523cc8f","schema_version":"1.0","event_id":"sha256:013e8743893f65a1f3492564448ad9966e1d21b21a1890fdf7ccbae98523cc8f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CBYRC4BSTKTSAIIYZVAPRBHGY4/bundle.json","state_url":"https://pith.science/pith/CBYRC4BSTKTSAIIYZVAPRBHGY4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CBYRC4BSTKTSAIIYZVAPRBHGY4/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":"2026-06-03T14:48:49Z","links":{"resolver":"https://pith.science/pith/CBYRC4BSTKTSAIIYZVAPRBHGY4","bundle":"https://pith.science/pith/CBYRC4BSTKTSAIIYZVAPRBHGY4/bundle.json","state":"https://pith.science/pith/CBYRC4BSTKTSAIIYZVAPRBHGY4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CBYRC4BSTKTSAIIYZVAPRBHGY4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:CBYRC4BSTKTSAIIYZVAPRBHGY4","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":"a0bb9f2b08a7ca71a4c7de091513c46e746c6b641f90a8db73d3c8eebbf7f199","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2014-03-04T13:21:39Z","title_canon_sha256":"329261f954e28c095291f48e5563d694e41b97508fe3e5e287fb2c24f6e0742b"},"schema_version":"1.0","source":{"id":"1403.0783","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1403.0783","created_at":"2026-05-18T01:11:00Z"},{"alias_kind":"arxiv_version","alias_value":"1403.0783v1","created_at":"2026-05-18T01:11:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1403.0783","created_at":"2026-05-18T01:11:00Z"},{"alias_kind":"pith_short_12","alias_value":"CBYRC4BSTKTS","created_at":"2026-05-18T12:28:22Z"},{"alias_kind":"pith_short_16","alias_value":"CBYRC4BSTKTSAIIY","created_at":"2026-05-18T12:28:22Z"},{"alias_kind":"pith_short_8","alias_value":"CBYRC4BS","created_at":"2026-05-18T12:28:22Z"}],"graph_snapshots":[{"event_id":"sha256:013e8743893f65a1f3492564448ad9966e1d21b21a1890fdf7ccbae98523cc8f","target":"graph","created_at":"2026-05-18T01:11:00Z","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":"Applications extracting data from crowdsourcing platforms must deal with the uncertainty of crowd answers in two different ways: first, by deriving estimates of the correct value from the answers; second, by choosing crowd questions whose answers are expected to minimize this uncertainty relative to the overall data collection goal. Such problems are already challenging when we assume that questions are unrelated and answers are independent, but they are even more complicated when we assume that the unknown values follow hard structural constraints (such as monotonicity).\n  In this vision pape","authors_text":"Antoine Amarilli, Tova Milo, Yael Amsterdamer","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2014-03-04T13:21:39Z","title":"Uncertainty in Crowd Data Sourcing under Structural Constraints"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1403.0783","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:f68a1442e1e3f0a2c9b6aec8c6dafce1447a470affd46895eab8adadaf6426f6","target":"record","created_at":"2026-05-18T01:11:00Z","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":"a0bb9f2b08a7ca71a4c7de091513c46e746c6b641f90a8db73d3c8eebbf7f199","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2014-03-04T13:21:39Z","title_canon_sha256":"329261f954e28c095291f48e5563d694e41b97508fe3e5e287fb2c24f6e0742b"},"schema_version":"1.0","source":{"id":"1403.0783","kind":"arxiv","version":1}},"canonical_sha256":"10711170329aa7202118cd40f884e6c73334159f7f06a81686a7b1e1a80eefc4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"10711170329aa7202118cd40f884e6c73334159f7f06a81686a7b1e1a80eefc4","first_computed_at":"2026-05-18T01:11:00.491583Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:11:00.491583Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xRJ+uLVLSPZ4+NUmP32bctGeNn0y7o5WcTRSlryu6OmRdeWvi29DbyOKKTuzym6o8nqzhfMH3k7ROxdxFaZfDA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:11:00.492189Z","signed_message":"canonical_sha256_bytes"},"source_id":"1403.0783","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f68a1442e1e3f0a2c9b6aec8c6dafce1447a470affd46895eab8adadaf6426f6","sha256:013e8743893f65a1f3492564448ad9966e1d21b21a1890fdf7ccbae98523cc8f"],"state_sha256":"48866f17c8377e32380555545f6a5ef9c8cc61c10be8a58e52632bfc1dc76659"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hr2YuHmL8sOXSJ2YwUsa9EGZTJFCo7aBEYVkFBYdA1hgih8YiqsaqHClnFsTiW4MsUlISIDbrA3P/IQtUFPLDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T14:48:49.063611Z","bundle_sha256":"28845b6b55b5ff4fd189f402fd6ec20d445d9bcd308dab434d047ae04efaec88"}}