{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:2F62OSI6WHOUV6PEJADVF3FFWV","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":"17c9779468e482aac494a90c270f1315c15d8024a7f5c5183d254878fd95fd67","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2026-07-29T18:23:32Z","title_canon_sha256":"81ca8a47af701a1d3a9fa3fd7ec959229513e1d041c9d4e65866ef5da58d0422"},"schema_version":"1.0","source":{"id":"2607.27368","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.27368","created_at":"2026-07-31T00:10:47Z"},{"alias_kind":"arxiv_version","alias_value":"2607.27368v1","created_at":"2026-07-31T00:10:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.27368","created_at":"2026-07-31T00:10:47Z"},{"alias_kind":"pith_short_12","alias_value":"2F62OSI6WHOU","created_at":"2026-07-31T00:10:47Z"},{"alias_kind":"pith_short_16","alias_value":"2F62OSI6WHOUV6PE","created_at":"2026-07-31T00:10:47Z"},{"alias_kind":"pith_short_8","alias_value":"2F62OSI6","created_at":"2026-07-31T00:10:47Z"}],"graph_snapshots":[{"event_id":"sha256:c9e6e591fe16c8871bb1438f9d4db8f62d79a08d4374e25ec73f5c9206464220","target":"graph","created_at":"2026-07-31T00:10:47Z","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/2607.27368/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Many crucial processes are too complex for computational modeling, requiring experimentation to identify promising materials. Here, a methodology for material design is presented, while photocatalysis is presented as a specific case-study. Metal-Organic Frameworks (MOFs) are a subset of highly promising porous nanomaterials, used in a variety of unmodellable applications. Reinforcement learning generated 60,000 novel MOFs optimized for CO/H20 selectivity. A predictor funnel system was created, iteratively removing low-scoring MOFs to 10,986 potential candidates, improving computational efficie","authors_text":"Satya Kokonda","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2026-07-29T18:23:32Z","title":"Machine Learning for Designing Undesignable Metal-Organic Frameworks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.27368","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":"sha256:05fb679229f40d119c8b2e641ec04508208ddba8bf6bd89ade30d6964795c49e","target":"record","created_at":"2026-07-31T00:10:47Z","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":"17c9779468e482aac494a90c270f1315c15d8024a7f5c5183d254878fd95fd67","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2026-07-29T18:23:32Z","title_canon_sha256":"81ca8a47af701a1d3a9fa3fd7ec959229513e1d041c9d4e65866ef5da58d0422"},"schema_version":"1.0","source":{"id":"2607.27368","kind":"arxiv","version":1}},"canonical_sha256":"d17da7491eb1dd4af9e4480752eca5b54809d26ae10e8226e5a59773000efb38","receipt":{"builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d17da7491eb1dd4af9e4480752eca5b54809d26ae10e8226e5a59773000efb38","first_computed_at":"2026-07-31T00:10:47.296403Z","kind":"pith_receipt","last_reissued_at":"2026-07-31T00:10:47.296403Z","receipt_version":"0.3","signature_status":"unsigned_v0"},"source_id":"2607.27368","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:05fb679229f40d119c8b2e641ec04508208ddba8bf6bd89ade30d6964795c49e","sha256:c9e6e591fe16c8871bb1438f9d4db8f62d79a08d4374e25ec73f5c9206464220"],"state_sha256":"04cd44b4ff80acc9b51618a481bea0fb2425e5bca110ee958b4d486dcdec74d9"}