{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:KG6XVULEXADTEYWDTJNWRQYWXU","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":"1175c59feebc544cfa56112cec2d2be1428d78481e5e1c64564a19956aebe184","cross_cats_sorted":["cs.AI","cs.CY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GT","submitted_at":"2025-06-01T22:17:18Z","title_canon_sha256":"a955acf767ce5134d245b72ae1aaa3f5d660cb1fe6bf87e41ffbbef6eb347eb5"},"schema_version":"1.0","source":{"id":"2506.05379","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.05379","created_at":"2026-07-05T11:17:01Z"},{"alias_kind":"arxiv_version","alias_value":"2506.05379v1","created_at":"2026-07-05T11:17:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.05379","created_at":"2026-07-05T11:17:01Z"},{"alias_kind":"pith_short_12","alias_value":"KG6XVULEXADT","created_at":"2026-07-05T11:17:01Z"},{"alias_kind":"pith_short_16","alias_value":"KG6XVULEXADTEYWD","created_at":"2026-07-05T11:17:01Z"},{"alias_kind":"pith_short_8","alias_value":"KG6XVULE","created_at":"2026-07-05T11:17:01Z"}],"graph_snapshots":[{"event_id":"sha256:a4602b320e3f37c1911c0e9b239be4c7eec35e80d92776736e13a474c75c3d86","target":"graph","created_at":"2026-07-05T11:17:01Z","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/2506.05379/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Training large language models (LLMs) requires vast amounts of high-quality data from institutions that face legal, privacy, and strategic constraints. Existing data procurement methods often rely on unverifiable trust or ignore heterogeneous provider costs. We introduce a mechanism-design framework for truthful, trust-minimized data sharing that ensures dominant-strategy incentive compatibility (DSIC), individual rationality, and weak budget balance, while rewarding data based on both quality and learning utility. We formalize a model where providers privately know their data cost and quality","authors_text":"Kourosh Shahnazari, MohammadAmin Fazli, Mohammmadali Keshtparvar, Seyed Moein Ayyoubzadeh","cross_cats":["cs.AI","cs.CY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GT","submitted_at":"2025-06-01T22:17:18Z","title":"Designing DSIC Mechanisms for Data Sharing in the Era of Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.05379","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":"sha256:66bc821bf46a6027e0995644d8d7a38186d4facc04b58716e11a2ac21989d248","target":"record","created_at":"2026-07-05T11:17:01Z","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":"1175c59feebc544cfa56112cec2d2be1428d78481e5e1c64564a19956aebe184","cross_cats_sorted":["cs.AI","cs.CY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GT","submitted_at":"2025-06-01T22:17:18Z","title_canon_sha256":"a955acf767ce5134d245b72ae1aaa3f5d660cb1fe6bf87e41ffbbef6eb347eb5"},"schema_version":"1.0","source":{"id":"2506.05379","kind":"arxiv","version":1}},"canonical_sha256":"51bd7ad164b8073262c39a5b68c316bd213b6d6967a68911e013fa3e23599839","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"51bd7ad164b8073262c39a5b68c316bd213b6d6967a68911e013fa3e23599839","first_computed_at":"2026-07-05T11:17:01.586369Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:17:01.586369Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"feAm5+941gBTK5fI6xCotVr6bxwk4lHRudkI0/iJ4eFqVOJmhqCrjRO9V3JtkGMidzhBu4DAB13F2JXykPZFDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:17:01.586850Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.05379","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:66bc821bf46a6027e0995644d8d7a38186d4facc04b58716e11a2ac21989d248","sha256:a4602b320e3f37c1911c0e9b239be4c7eec35e80d92776736e13a474c75c3d86"],"state_sha256":"84cfecc6d10b784c4dd703a81141fffdffbafbe95a0e78fdccc9c5434c4cc95f"}