{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:2DKXHJCFXM3KIP3GVESNASTEEC","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":"19afd0b8d1b1397f6e4ceaf7d81a29815015fd6a6a4bce72220208d3ee139e4b","cross_cats_sorted":["cs.AI","cs.CY","cs.IT","math.IT","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-08-25T22:07:07Z","title_canon_sha256":"99761581a60c77ad174a6a2996a0c2aee5b650eb0b2be4a5d03ba8843fb8bd3e"},"schema_version":"1.0","source":{"id":"2208.12354","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.12354","created_at":"2026-07-05T04:51:44Z"},{"alias_kind":"arxiv_version","alias_value":"2208.12354v1","created_at":"2026-07-05T04:51:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.12354","created_at":"2026-07-05T04:51:44Z"},{"alias_kind":"pith_short_12","alias_value":"2DKXHJCFXM3K","created_at":"2026-07-05T04:51:44Z"},{"alias_kind":"pith_short_16","alias_value":"2DKXHJCFXM3KIP3G","created_at":"2026-07-05T04:51:44Z"},{"alias_kind":"pith_short_8","alias_value":"2DKXHJCF","created_at":"2026-07-05T04:51:44Z"}],"graph_snapshots":[{"event_id":"sha256:e9f2a7909d7453bd93b5e605e3a7f3a036b890c6958cc160cc218a93586aff74","target":"graph","created_at":"2026-07-05T04:51:44Z","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/2208.12354/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We study valuing the data of a data owner/seller for a data seeker/buyer. Data valuation is often carried out for a specific task assuming a particular utility metric, such as test accuracy on a validation set, that may not exist in practice. In this work, we focus on task-agnostic data valuation without any validation requirements. The data buyer has access to a limited amount of data (which could be publicly available) and seeks more data samples from a data seller. We formulate the problem as estimating the differences in the statistical properties of the data at the seller with respect to ","authors_text":"Frederic Berdoz, Mohammad Mohammadi Amiri, Ramesh Raskar","cross_cats":["cs.AI","cs.CY","cs.IT","math.IT","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-08-25T22:07:07Z","title":"Fundamentals of Task-Agnostic Data Valuation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.12354","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":"sha256:42f6d66a87fddda71e9c4ba7f4d550605ee0301b0fa7b5c60b8e629059e79c26","target":"record","created_at":"2026-07-05T04:51:44Z","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":"19afd0b8d1b1397f6e4ceaf7d81a29815015fd6a6a4bce72220208d3ee139e4b","cross_cats_sorted":["cs.AI","cs.CY","cs.IT","math.IT","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-08-25T22:07:07Z","title_canon_sha256":"99761581a60c77ad174a6a2996a0c2aee5b650eb0b2be4a5d03ba8843fb8bd3e"},"schema_version":"1.0","source":{"id":"2208.12354","kind":"arxiv","version":1}},"canonical_sha256":"d0d573a445bb36a43f66a924d04a6420a35168e1fe0e8f4ad8274d3a8f85c628","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d0d573a445bb36a43f66a924d04a6420a35168e1fe0e8f4ad8274d3a8f85c628","first_computed_at":"2026-07-05T04:51:44.338530Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:51:44.338530Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bw2AKMAzaabd2TY9oKZ/icfZKqjlQP/+4kF7yYGSDDoQphTg6hOgV9pyaHhkD+/xSsKk4ZOWUMmQDJyFuOF7BA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:51:44.338939Z","signed_message":"canonical_sha256_bytes"},"source_id":"2208.12354","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:42f6d66a87fddda71e9c4ba7f4d550605ee0301b0fa7b5c60b8e629059e79c26","sha256:e9f2a7909d7453bd93b5e605e3a7f3a036b890c6958cc160cc218a93586aff74"],"state_sha256":"cd1dc84b6e6170a10f902b80805835f6a940a24edf00fec73218ecfa27bcd808"}