{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:OAPNQYWXKJCSYBYTGRBXJCB6JV","short_pith_number":"pith:OAPNQYWX","schema_version":"1.0","canonical_sha256":"701ed862d752452c0713344374883e4d5ba80c1dba502864a986ecb35f4f56fb","source":{"kind":"arxiv","id":"2310.06000","version":4},"attestation_state":"computed","paper":{"title":"Towards Replication-Robust Analytics Markets","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.GT","q-fin.EC"],"primary_cat":"econ.GN","authors_text":"Jalal Kazempour, Pierre Pinson, Thomas Falconer","submitted_at":"2023-10-09T12:56:24Z","abstract_excerpt":"Despite recent advancements in machine learning, in practice, relevant datasets are often distributed among market competitors who are reluctant to share. To incentivize data sharing, recent works propose analytics markets, where multiple agents share features and are rewarded for improving the predictions of others. These rewards can be computed by treating features as players in a coalitional game, with solution concepts that yield desirable market properties. However, this setup incites agents to strategically replicate their data and act under multiple false identities to increase their ow"},"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":"2310.06000","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"econ.GN","submitted_at":"2023-10-09T12:56:24Z","cross_cats_sorted":["cs.GT","q-fin.EC"],"title_canon_sha256":"b290e476ec62f08cf33eaa8ef38c524793052e40f27a10381dc8b88221f0a4d7","abstract_canon_sha256":"e536c99ae3400bf6a64d36047c739a7d562440509cfe9e829e70d03bf19abe57"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:47:10.185780Z","signature_b64":"oujK4RbtwSQNI1r90Z+23UnzvGxsBxVIs3484IIAN+K946AhlGi+s6p6Hu2evypaQ3Mvu8EauaQs50uWgkRPCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"701ed862d752452c0713344374883e4d5ba80c1dba502864a986ecb35f4f56fb","last_reissued_at":"2026-07-05T11:47:10.185232Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:47:10.185232Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Towards Replication-Robust Analytics Markets","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.GT","q-fin.EC"],"primary_cat":"econ.GN","authors_text":"Jalal Kazempour, Pierre Pinson, Thomas Falconer","submitted_at":"2023-10-09T12:56:24Z","abstract_excerpt":"Despite recent advancements in machine learning, in practice, relevant datasets are often distributed among market competitors who are reluctant to share. To incentivize data sharing, recent works propose analytics markets, where multiple agents share features and are rewarded for improving the predictions of others. These rewards can be computed by treating features as players in a coalitional game, with solution concepts that yield desirable market properties. However, this setup incites agents to strategically replicate their data and act under multiple false identities to increase their ow"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.06000","kind":"arxiv","version":4},"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/2310.06000/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2310.06000","created_at":"2026-07-05T11:47:10.185297+00:00"},{"alias_kind":"arxiv_version","alias_value":"2310.06000v4","created_at":"2026-07-05T11:47:10.185297+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.06000","created_at":"2026-07-05T11:47:10.185297+00:00"},{"alias_kind":"pith_short_12","alias_value":"OAPNQYWXKJCS","created_at":"2026-07-05T11:47:10.185297+00:00"},{"alias_kind":"pith_short_16","alias_value":"OAPNQYWXKJCSYBYT","created_at":"2026-07-05T11:47:10.185297+00:00"},{"alias_kind":"pith_short_8","alias_value":"OAPNQYWX","created_at":"2026-07-05T11:47:10.185297+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2501.12367","citing_title":"Budget-constrained Collaborative Renewable Energy Forecasting Market","ref_index":27,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/OAPNQYWXKJCSYBYTGRBXJCB6JV","json":"https://pith.science/pith/OAPNQYWXKJCSYBYTGRBXJCB6JV.json","graph_json":"https://pith.science/api/pith-number/OAPNQYWXKJCSYBYTGRBXJCB6JV/graph.json","events_json":"https://pith.science/api/pith-number/OAPNQYWXKJCSYBYTGRBXJCB6JV/events.json","paper":"https://pith.science/paper/OAPNQYWX"},"agent_actions":{"view_html":"https://pith.science/pith/OAPNQYWXKJCSYBYTGRBXJCB6JV","download_json":"https://pith.science/pith/OAPNQYWXKJCSYBYTGRBXJCB6JV.json","view_paper":"https://pith.science/paper/OAPNQYWX","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2310.06000&json=true","fetch_graph":"https://pith.science/api/pith-number/OAPNQYWXKJCSYBYTGRBXJCB6JV/graph.json","fetch_events":"https://pith.science/api/pith-number/OAPNQYWXKJCSYBYTGRBXJCB6JV/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/OAPNQYWXKJCSYBYTGRBXJCB6JV/action/timestamp_anchor","attest_storage":"https://pith.science/pith/OAPNQYWXKJCSYBYTGRBXJCB6JV/action/storage_attestation","attest_author":"https://pith.science/pith/OAPNQYWXKJCSYBYTGRBXJCB6JV/action/author_attestation","sign_citation":"https://pith.science/pith/OAPNQYWXKJCSYBYTGRBXJCB6JV/action/citation_signature","submit_replication":"https://pith.science/pith/OAPNQYWXKJCSYBYTGRBXJCB6JV/action/replication_record"}},"created_at":"2026-07-05T11:47:10.185297+00:00","updated_at":"2026-07-05T11:47:10.185297+00:00"}