{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:6IWNDECOBPC62PT62XPWH4ZRK6","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":"bde6ae60ed04685de66fbabbbdbb4526ec987455585c27f9e8d37b38a3647512","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2025-12-10T10:38:58Z","title_canon_sha256":"ac88e280a009e29df69c437b97fd278312abccd15c9f1618708fb52373cce91a"},"schema_version":"1.0","source":{"id":"2512.09514","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2512.09514","created_at":"2026-08-03T01:12:17Z"},{"alias_kind":"arxiv_version","alias_value":"2512.09514v1","created_at":"2026-08-03T01:12:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2512.09514","created_at":"2026-08-03T01:12:17Z"},{"alias_kind":"pith_short_12","alias_value":"6IWNDECOBPC6","created_at":"2026-08-03T01:12:17Z"},{"alias_kind":"pith_short_16","alias_value":"6IWNDECOBPC62PT6","created_at":"2026-08-03T01:12:17Z"},{"alias_kind":"pith_short_8","alias_value":"6IWNDECO","created_at":"2026-08-03T01:12:17Z"}],"graph_snapshots":[{"event_id":"sha256:6f0e88a2b20b832249860d01f3dabe55eeff91eb34b2d17909165a1b7c677358","target":"graph","created_at":"2026-08-03T01:12:17Z","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/2512.09514/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advances in generative machine learning have opened new possibilities for the discovery and design of novel materials. However, as these models become more sophisticated, the need for rigorous and meaningful evaluation metrics has grown. Existing evaluation approaches often fail to capture both the quality and novelty of generated structures, limiting our ability to assess true generative performance. In this paper, we introduce the Transport Novelty Distance (TNovD) to judge generative models used for materials discovery jointly by the quality and novelty of the generated materials. Ba","authors_text":"Janine George, Paul Hagemann, Philipp Benner, Simon M\\\"uller","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2025-12-10T10:38:58Z","title":"Transport Novelty Distance: A Distributional Metric for Evaluating Material Generative Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2512.09514","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":"sha256:6a7b363767b3cff63d29499364032ee3802d10746d7cc6189bb4ea7547805fb5","target":"record","created_at":"2026-08-03T01:12:17Z","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":"bde6ae60ed04685de66fbabbbdbb4526ec987455585c27f9e8d37b38a3647512","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2025-12-10T10:38:58Z","title_canon_sha256":"ac88e280a009e29df69c437b97fd278312abccd15c9f1618708fb52373cce91a"},"schema_version":"1.0","source":{"id":"2512.09514","kind":"arxiv","version":1}},"canonical_sha256":"f22cd1904e0bc5ed3e7ed5df63f331578e5ef63dcead8612fc56cc66d17165ae","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f22cd1904e0bc5ed3e7ed5df63f331578e5ef63dcead8612fc56cc66d17165ae","first_computed_at":"2026-08-03T01:12:17.951953Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-03T01:12:17.951953Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AMuuAApsXjV9MKHQLpqcOludcAPHDHUu2QIWzBUZ13HJWRHRMO6HZOiHdrhJSQAACw5XZBhjSZzKIRGAE77UCQ==","signature_status":"signed_v1","signed_at":"2026-08-03T01:12:17.965628Z","signed_message":"canonical_sha256_bytes"},"source_id":"2512.09514","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6a7b363767b3cff63d29499364032ee3802d10746d7cc6189bb4ea7547805fb5","sha256:6f0e88a2b20b832249860d01f3dabe55eeff91eb34b2d17909165a1b7c677358"],"state_sha256":"a7a7425b77243b5312e0c38a7bf251d6318e96e75fea91e2a298e113fee95b84"}