{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:KHRCORARAN2DO5GYHVR4S2GKE7","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":"9be34534a2da1421b7aa83aa88ab2d7244bdeefe9852fb7769ac9230e7247bc7","cross_cats_sorted":["cs.GT","cs.LG","math.OC","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2018-05-26T06:02:40Z","title_canon_sha256":"1e76bbe0321988561fc15fe26d018618c20f6f15c935c2ce2d5bb9d0ff7912dd"},"schema_version":"1.0","source":{"id":"1805.11450","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.11450","created_at":"2026-05-18T00:14:42Z"},{"alias_kind":"arxiv_version","alias_value":"1805.11450v1","created_at":"2026-05-18T00:14:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.11450","created_at":"2026-05-18T00:14:42Z"},{"alias_kind":"pith_short_12","alias_value":"KHRCORARAN2D","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_16","alias_value":"KHRCORARAN2DO5GY","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_8","alias_value":"KHRCORAR","created_at":"2026-05-18T12:32:33Z"}],"graph_snapshots":[{"event_id":"sha256:59c915d5e1a44942f166e56411faa318df850f06006557e9f4031757239440cd","target":"graph","created_at":"2026-05-18T00:14:42Z","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":"Data analytics using machine learning (ML) has become ubiquitous in science, business intelligence, journalism and many other domains. While a lot of work focuses on reducing the training cost, inference runtime and storage cost of ML models, little work studies how to reduce the cost of data acquisition, which potentially leads to a loss of sellers' revenue and buyers' affordability and efficiency.\n  In this paper, we propose a model-based pricing (MBP) framework, which instead of pricing the data, directly prices ML model instances. We first formally describe the desired properties of the MB","authors_text":"Arun Kumar, Lingjiao Chen, Paraschos Koutris","cross_cats":["cs.GT","cs.LG","math.OC","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2018-05-26T06:02:40Z","title":"Model-based Pricing for Machine Learning in a Data Marketplace"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.11450","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":"sha256:500bdcaa254b0909da4ef390ba2582a8a3557e5426131f499e7510767ffd6ec8","target":"record","created_at":"2026-05-18T00:14:42Z","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":"9be34534a2da1421b7aa83aa88ab2d7244bdeefe9852fb7769ac9230e7247bc7","cross_cats_sorted":["cs.GT","cs.LG","math.OC","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2018-05-26T06:02:40Z","title_canon_sha256":"1e76bbe0321988561fc15fe26d018618c20f6f15c935c2ce2d5bb9d0ff7912dd"},"schema_version":"1.0","source":{"id":"1805.11450","kind":"arxiv","version":1}},"canonical_sha256":"51e227441103743774d83d63c968ca27c78357f23ab94918318068d1ee3bde50","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"51e227441103743774d83d63c968ca27c78357f23ab94918318068d1ee3bde50","first_computed_at":"2026-05-18T00:14:42.500857Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:14:42.500857Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ylPv1n8Fvj3ZLOcihTMdds+zHPGY+4Y6P+zUISqa1d41LOO2p1ulqPth7S0wYmTtiUsCBjXoLXOA3JY8Gqn3BQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:14:42.501432Z","signed_message":"canonical_sha256_bytes"},"source_id":"1805.11450","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:500bdcaa254b0909da4ef390ba2582a8a3557e5426131f499e7510767ffd6ec8","sha256:59c915d5e1a44942f166e56411faa318df850f06006557e9f4031757239440cd"],"state_sha256":"d85df885acd5182137aca1244f61ad878dd3f9a838120f481e3b636e4db27233"}