{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:LEFK3T6INYHM7VRB5R7A6SJYNQ","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":"3c13fba5ff3b405d4b486bcc84ff15bb998e2fa73841787aae0b8e8330326904","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-21T09:06:33Z","title_canon_sha256":"a06216a9da851c924a5ce12335267c7b9ac4263132da431e916da0a175d4d78d"},"schema_version":"1.0","source":{"id":"2411.13953","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.13953","created_at":"2026-07-05T09:40:21Z"},{"alias_kind":"arxiv_version","alias_value":"2411.13953v2","created_at":"2026-07-05T09:40:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.13953","created_at":"2026-07-05T09:40:21Z"},{"alias_kind":"pith_short_12","alias_value":"LEFK3T6INYHM","created_at":"2026-07-05T09:40:21Z"},{"alias_kind":"pith_short_16","alias_value":"LEFK3T6INYHM7VRB","created_at":"2026-07-05T09:40:21Z"},{"alias_kind":"pith_short_8","alias_value":"LEFK3T6I","created_at":"2026-07-05T09:40:21Z"}],"graph_snapshots":[{"event_id":"sha256:5335eeb203bcbb0b68fed2601c6bc7d53753a17aa6b5a0f8d0d0c77b1e9d74ca","target":"graph","created_at":"2026-07-05T09:40:21Z","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/2411.13953/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this position paper, we propose an approach for sustainable data collection in the field of optimal mix design for marble sludge reuse. Marble sludge, a calcium-rich residual from stone-cutting processes, can be repurposed by mixing it with various ingredients. However, determining the optimal mix design is challenging due to the variability in sludge composition and the costly, time-consuming nature of experimental data collection. Also, we investigate the possibility of using machine learning models using meta-learning as an optimization tool to estimate the correct quantity of stone-cutt","authors_text":"Adolfo Speghini, Eros Radicchi, Federico Cunico, Filiberto Semenzin, Francesco Setti, Marco Cristani, Paolo Marone, Usman Syed, Uzair Khan","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-21T09:06:33Z","title":"Material synthesis through simulations guided by machine learning: a position paper"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.13953","kind":"arxiv","version":2},"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:e47d0db9972a7c0bcb0831c257ad5fb1cc84ca785da07ec7df7cd4e1b38f21ff","target":"record","created_at":"2026-07-05T09:40:21Z","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":"3c13fba5ff3b405d4b486bcc84ff15bb998e2fa73841787aae0b8e8330326904","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-21T09:06:33Z","title_canon_sha256":"a06216a9da851c924a5ce12335267c7b9ac4263132da431e916da0a175d4d78d"},"schema_version":"1.0","source":{"id":"2411.13953","kind":"arxiv","version":2}},"canonical_sha256":"590aadcfc86e0ecfd621ec7e0f49386c3322006c9c556732fe430620f235b71d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"590aadcfc86e0ecfd621ec7e0f49386c3322006c9c556732fe430620f235b71d","first_computed_at":"2026-07-05T09:40:21.590490Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:40:21.590490Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1XndqiT4dcW2b9UVjmQ5NGZQz+HHa4Ethyhhj7OZzbUvxFo+bO7YfnuLMFk+auMf+umcTlp6vbRVa0S9GQuJBw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:40:21.590983Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.13953","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e47d0db9972a7c0bcb0831c257ad5fb1cc84ca785da07ec7df7cd4e1b38f21ff","sha256:5335eeb203bcbb0b68fed2601c6bc7d53753a17aa6b5a0f8d0d0c77b1e9d74ca"],"state_sha256":"32ffa6136a71b7251af4cd88038d4ac1d89afdaf38b1a0ca2e3a42a18000c467"}