{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:OHW2QTGLV34OF7QJLNB2746755","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":"2e78c9e82b0caf8d9385e26f5fa3189dab09f9c1ac360a2c57d366110d176c2c","cross_cats_sorted":["cs.CL","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-06-16T17:09:24Z","title_canon_sha256":"760aef57d4335cb1b1cc2e75053aa42a398a57364776bf74c9579bcd72e7401b"},"schema_version":"1.0","source":{"id":"2406.11011","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.11011","created_at":"2026-07-05T11:17:33Z"},{"alias_kind":"arxiv_version","alias_value":"2406.11011v3","created_at":"2026-07-05T11:17:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.11011","created_at":"2026-07-05T11:17:33Z"},{"alias_kind":"pith_short_12","alias_value":"OHW2QTGLV34O","created_at":"2026-07-05T11:17:33Z"},{"alias_kind":"pith_short_16","alias_value":"OHW2QTGLV34OF7QJ","created_at":"2026-07-05T11:17:33Z"},{"alias_kind":"pith_short_8","alias_value":"OHW2QTGL","created_at":"2026-07-05T11:17:33Z"}],"graph_snapshots":[{"event_id":"sha256:724c38609bd5da5b00391382b08988273eea298d1804e9f9415e5a4cede26d9a","target":"graph","created_at":"2026-07-05T11:17:33Z","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/2406.11011/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Data Shapley provides a principled framework for attributing data's contribution within machine learning contexts. However, existing approaches require re-training models on different data subsets, which is computationally intensive, foreclosing their application to large-scale models. Furthermore, they produce the same attribution score for any models produced by running the learning algorithm, meaning they cannot perform targeted attribution towards a specific model obtained from a single run of the algorithm. This paper introduces In-Run Data Shapley, which addresses these limitations by of","authors_text":"Dawn Song, Jiachen T. Wang, Prateek Mittal, Ruoxi Jia","cross_cats":["cs.CL","stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-06-16T17:09:24Z","title":"Data Shapley in One Training Run"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.11011","kind":"arxiv","version":3},"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":"sha256:659a9e97189aa9c6af9422fdb205eb77ea0ed5781851f55f46ef29b9518bdf47","target":"record","created_at":"2026-07-05T11:17:33Z","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":"2e78c9e82b0caf8d9385e26f5fa3189dab09f9c1ac360a2c57d366110d176c2c","cross_cats_sorted":["cs.CL","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-06-16T17:09:24Z","title_canon_sha256":"760aef57d4335cb1b1cc2e75053aa42a398a57364776bf74c9579bcd72e7401b"},"schema_version":"1.0","source":{"id":"2406.11011","kind":"arxiv","version":3}},"canonical_sha256":"71eda84ccbaef8e2fe095b43aff3dfef5f21977b9e9644f4bada7676d1b86344","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"71eda84ccbaef8e2fe095b43aff3dfef5f21977b9e9644f4bada7676d1b86344","first_computed_at":"2026-07-05T11:17:33.442169Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:17:33.442169Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nqvWGjoJm0uD9Ka9JrTY0XG/baltjY+VQTIH36FELas/YwEGNq/c5PYXY0aJvYl1TRX6Rx7uVWgTF2+k09PQDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:17:33.442660Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.11011","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:659a9e97189aa9c6af9422fdb205eb77ea0ed5781851f55f46ef29b9518bdf47","sha256:724c38609bd5da5b00391382b08988273eea298d1804e9f9415e5a4cede26d9a"],"state_sha256":"4f8d2b3038a580520c29a28a950263674a41aafba6085af2d8d11d56dd3cae96"}