{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:FNGXQLR2SCKIEG4FDGVUH3OZWK","short_pith_number":"pith:FNGXQLR2","canonical_record":{"source":{"id":"2402.13567","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-02-21T06:57:07Z","cross_cats_sorted":["cs.AI","cs.GT"],"title_canon_sha256":"17aaaae8de1355d4734500c5e43204e15534fdcf87ca0d99a38a3dce5b2d435c","abstract_canon_sha256":"bd65137130780e82518f9d1bbdd9c9b6563f900e2a0a536a567b522c5f75efd2"},"schema_version":"1.0"},"canonical_sha256":"2b4d782e3a9094821b8519ab43edd9b290edc6bc683a806ba0c137a2a0491efd","source":{"kind":"arxiv","id":"2402.13567","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.13567","created_at":"2026-07-05T07:47:34Z"},{"alias_kind":"arxiv_version","alias_value":"2402.13567v1","created_at":"2026-07-05T07:47:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.13567","created_at":"2026-07-05T07:47:34Z"},{"alias_kind":"pith_short_12","alias_value":"FNGXQLR2SCKI","created_at":"2026-07-05T07:47:34Z"},{"alias_kind":"pith_short_16","alias_value":"FNGXQLR2SCKIEG4F","created_at":"2026-07-05T07:47:34Z"},{"alias_kind":"pith_short_8","alias_value":"FNGXQLR2","created_at":"2026-07-05T07:47:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:FNGXQLR2SCKIEG4FDGVUH3OZWK","target":"record","payload":{"canonical_record":{"source":{"id":"2402.13567","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-02-21T06:57:07Z","cross_cats_sorted":["cs.AI","cs.GT"],"title_canon_sha256":"17aaaae8de1355d4734500c5e43204e15534fdcf87ca0d99a38a3dce5b2d435c","abstract_canon_sha256":"bd65137130780e82518f9d1bbdd9c9b6563f900e2a0a536a567b522c5f75efd2"},"schema_version":"1.0"},"canonical_sha256":"2b4d782e3a9094821b8519ab43edd9b290edc6bc683a806ba0c137a2a0491efd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:47:34.272965Z","signature_b64":"NBopXxBWdJx72J3R1nVxGLMMl4sYUZtrhXBCYXVPoJlsNuJb2B8upJfDGZC2OJlGgXdTAe9l0AfF+6ex5fj9Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2b4d782e3a9094821b8519ab43edd9b290edc6bc683a806ba0c137a2a0491efd","last_reissued_at":"2026-07-05T07:47:34.272450Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:47:34.272450Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.13567","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":"2026-07-05T07:47:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6AU1kUgFd83GvuRiLbFkhDo5etC0Vtv2y4yljBNO+latex68sz4vcWDjw1oe+MKfLRaNUCRTjO5vQ3XqyQ64Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T19:48:42.714167Z"},"content_sha256":"77e2cc885291f46a14e6c337d74505e5a703663496afbf8ac4d7bc14d8552985","schema_version":"1.0","event_id":"sha256:77e2cc885291f46a14e6c337d74505e5a703663496afbf8ac4d7bc14d8552985"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:FNGXQLR2SCKIEG4FDGVUH3OZWK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Spot Check Equivalence: an Interpretable Metric for Information Elicitation Mechanisms","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.GT"],"primary_cat":"cs.LG","authors_text":"Grant Schoenebeck, Paul Resnick, Shengwei Xu, Yichi Zhang","submitted_at":"2024-02-21T06:57:07Z","abstract_excerpt":"Because high-quality data is like oxygen for AI systems, effectively eliciting information from crowdsourcing workers has become a first-order problem for developing high-performance machine learning algorithms. Two prevalent paradigms, spot-checking and peer prediction, enable the design of mechanisms to evaluate and incentivize high-quality data from human labelers. So far, at least three metrics have been proposed to compare the performances of these techniques [33, 8, 3]. However, different metrics lead to divergent and even contradictory results in various contexts. In this paper, we harm"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.13567","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2402.13567/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T07:47:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hhYftmeGksSnrfphKSAc0+qpZtO/GjtRnLkY/AUuNjOABTO9nrk9cdeCIvTCjxxqpjIxgozET66+ieNILYO1BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T19:48:42.714821Z"},"content_sha256":"d7c45aeaa8e3d278705eafc7ab120049e7aea05ae15eefc5e9329f81070dea6b","schema_version":"1.0","event_id":"sha256:d7c45aeaa8e3d278705eafc7ab120049e7aea05ae15eefc5e9329f81070dea6b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FNGXQLR2SCKIEG4FDGVUH3OZWK/bundle.json","state_url":"https://pith.science/pith/FNGXQLR2SCKIEG4FDGVUH3OZWK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FNGXQLR2SCKIEG4FDGVUH3OZWK/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":"2026-08-07T19:48:42Z","links":{"resolver":"https://pith.science/pith/FNGXQLR2SCKIEG4FDGVUH3OZWK","bundle":"https://pith.science/pith/FNGXQLR2SCKIEG4FDGVUH3OZWK/bundle.json","state":"https://pith.science/pith/FNGXQLR2SCKIEG4FDGVUH3OZWK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FNGXQLR2SCKIEG4FDGVUH3OZWK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:FNGXQLR2SCKIEG4FDGVUH3OZWK","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":"bd65137130780e82518f9d1bbdd9c9b6563f900e2a0a536a567b522c5f75efd2","cross_cats_sorted":["cs.AI","cs.GT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-02-21T06:57:07Z","title_canon_sha256":"17aaaae8de1355d4734500c5e43204e15534fdcf87ca0d99a38a3dce5b2d435c"},"schema_version":"1.0","source":{"id":"2402.13567","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.13567","created_at":"2026-07-05T07:47:34Z"},{"alias_kind":"arxiv_version","alias_value":"2402.13567v1","created_at":"2026-07-05T07:47:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.13567","created_at":"2026-07-05T07:47:34Z"},{"alias_kind":"pith_short_12","alias_value":"FNGXQLR2SCKI","created_at":"2026-07-05T07:47:34Z"},{"alias_kind":"pith_short_16","alias_value":"FNGXQLR2SCKIEG4F","created_at":"2026-07-05T07:47:34Z"},{"alias_kind":"pith_short_8","alias_value":"FNGXQLR2","created_at":"2026-07-05T07:47:34Z"}],"graph_snapshots":[{"event_id":"sha256:d7c45aeaa8e3d278705eafc7ab120049e7aea05ae15eefc5e9329f81070dea6b","target":"graph","created_at":"2026-07-05T07:47:34Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2402.13567/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Because high-quality data is like oxygen for AI systems, effectively eliciting information from crowdsourcing workers has become a first-order problem for developing high-performance machine learning algorithms. Two prevalent paradigms, spot-checking and peer prediction, enable the design of mechanisms to evaluate and incentivize high-quality data from human labelers. So far, at least three metrics have been proposed to compare the performances of these techniques [33, 8, 3]. However, different metrics lead to divergent and even contradictory results in various contexts. In this paper, we harm","authors_text":"Grant Schoenebeck, Paul Resnick, Shengwei Xu, Yichi Zhang","cross_cats":["cs.AI","cs.GT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-02-21T06:57:07Z","title":"Spot Check Equivalence: an Interpretable Metric for Information Elicitation Mechanisms"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.13567","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":"sha256:77e2cc885291f46a14e6c337d74505e5a703663496afbf8ac4d7bc14d8552985","target":"record","created_at":"2026-07-05T07:47:34Z","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":"bd65137130780e82518f9d1bbdd9c9b6563f900e2a0a536a567b522c5f75efd2","cross_cats_sorted":["cs.AI","cs.GT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-02-21T06:57:07Z","title_canon_sha256":"17aaaae8de1355d4734500c5e43204e15534fdcf87ca0d99a38a3dce5b2d435c"},"schema_version":"1.0","source":{"id":"2402.13567","kind":"arxiv","version":1}},"canonical_sha256":"2b4d782e3a9094821b8519ab43edd9b290edc6bc683a806ba0c137a2a0491efd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2b4d782e3a9094821b8519ab43edd9b290edc6bc683a806ba0c137a2a0491efd","first_computed_at":"2026-07-05T07:47:34.272450Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:47:34.272450Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NBopXxBWdJx72J3R1nVxGLMMl4sYUZtrhXBCYXVPoJlsNuJb2B8upJfDGZC2OJlGgXdTAe9l0AfF+6ex5fj9Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:47:34.272965Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.13567","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:77e2cc885291f46a14e6c337d74505e5a703663496afbf8ac4d7bc14d8552985","sha256:d7c45aeaa8e3d278705eafc7ab120049e7aea05ae15eefc5e9329f81070dea6b"],"state_sha256":"12c9893ec7ecf0090f7ce8a37939cd88f0b5ac8056a72f1a06db3e0d5a2a6ca2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bM+VCcv9wP7PVc5h8bFDPNfza8F9q1J+3VIMdpbyt8siNxkdnqWb+ZCuVkeoHJEXIKAZPE6Kfla82PvcQuCWBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T19:48:42.719025Z","bundle_sha256":"d81bc90ebe06890b609cad2843a773665e86d263eede6cc786d354cf2680b23d"}}