{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:2BMJPIN2OHD4SHRBLOUPHLPD25","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":"be2993fa01ee2d959590e400a6cbcdf560dbfa2b1b358a89ae02e1b6a70d6640","cross_cats_sorted":["cs.AI","cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-03T14:01:53Z","title_canon_sha256":"6f99ea3c18272c2a8a02905ec52499dca0a022ec302a07725a1ad228199d39f0"},"schema_version":"1.0","source":{"id":"2607.03346","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.03346","created_at":"2026-07-07T02:17:38Z"},{"alias_kind":"arxiv_version","alias_value":"2607.03346v1","created_at":"2026-07-07T02:17:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.03346","created_at":"2026-07-07T02:17:38Z"},{"alias_kind":"pith_short_12","alias_value":"2BMJPIN2OHD4","created_at":"2026-07-07T02:17:38Z"},{"alias_kind":"pith_short_16","alias_value":"2BMJPIN2OHD4SHRB","created_at":"2026-07-07T02:17:38Z"},{"alias_kind":"pith_short_8","alias_value":"2BMJPIN2","created_at":"2026-07-07T02:17:38Z"}],"graph_snapshots":[{"event_id":"sha256:1e3990cceed442efe74641051ebb98ea43ce86573a33a1cf8d3bd634be1abc73","target":"graph","created_at":"2026-07-07T02:17:38Z","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/2607.03346/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurate and efficient dataset valuation is essential for enabling fair and transparent data marketplaces, especially when multiple contributors provide data for training multi-task models. Most existing valuation methods, however, are limited to single-task settings, overlooking scenarios where a buyer aims to optimize performance across multiple downstream tasks. Moreover, traditional valuation approaches, such as Shapley-based or retraining-based methods, are computationally expensive and poorly suited for decentralized environments without a trusted central coordinator and with strict priv","authors_text":"Mohammad Mohammadi Amiri, Mohammadsajad Alipour","cross_cats":["cs.AI","cs.CV","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-03T14:01:53Z","title":"Efficient Decentralized Multi-task Dataset Valuation via Model Merging"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.03346","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":"sha256:7b2a85c6fd44683cc085f67cafd5c6e7b4a5866a2de5189cee2bdfa580f5a319","target":"record","created_at":"2026-07-07T02:17:38Z","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":"be2993fa01ee2d959590e400a6cbcdf560dbfa2b1b358a89ae02e1b6a70d6640","cross_cats_sorted":["cs.AI","cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-03T14:01:53Z","title_canon_sha256":"6f99ea3c18272c2a8a02905ec52499dca0a022ec302a07725a1ad228199d39f0"},"schema_version":"1.0","source":{"id":"2607.03346","kind":"arxiv","version":1}},"canonical_sha256":"d05897a1ba71c7c91e215ba8f3ade3d775f38c062129fd31b436d4b71bca6f99","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d05897a1ba71c7c91e215ba8f3ade3d775f38c062129fd31b436d4b71bca6f99","first_computed_at":"2026-07-07T02:17:38.444178Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-07T02:17:38.444178Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YSb2uJQBvpZQ6weAigmA8pcbf7tSre0QSvLva4JVTB8/AV0k5qLx3e5l+ZLmbmCj4guivEmrOzwzoplnc9FEBA==","signature_status":"signed_v1","signed_at":"2026-07-07T02:17:38.445133Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.03346","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7b2a85c6fd44683cc085f67cafd5c6e7b4a5866a2de5189cee2bdfa580f5a319","sha256:1e3990cceed442efe74641051ebb98ea43ce86573a33a1cf8d3bd634be1abc73"],"state_sha256":"7115ca47bbc4e7852761c493563b15d781077faf2a9e24ea8cda4feff46f8076"}