{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:V3Y674AREJEPVRADEDGJUB4NQ7","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":"c0765b3315823318695a5f8d1702cc427162f0836ed4fb281e5380a888589b47","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.data-an","submitted_at":"2023-07-19T23:14:09Z","title_canon_sha256":"7c148338ed432e79084f2565946331a099bcb936e6830d139d2cbc7673a1cc6c"},"schema_version":"1.0","source":{"id":"2307.10494","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.10494","created_at":"2026-07-05T06:32:59Z"},{"alias_kind":"arxiv_version","alias_value":"2307.10494v1","created_at":"2026-07-05T06:32:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.10494","created_at":"2026-07-05T06:32:59Z"},{"alias_kind":"pith_short_12","alias_value":"V3Y674AREJEP","created_at":"2026-07-05T06:32:59Z"},{"alias_kind":"pith_short_16","alias_value":"V3Y674AREJEPVRAD","created_at":"2026-07-05T06:32:59Z"},{"alias_kind":"pith_short_8","alias_value":"V3Y674AR","created_at":"2026-07-05T06:32:59Z"}],"graph_snapshots":[{"event_id":"sha256:82ff594dc78f563a8f79374c371051007206df1d9b9b638086aa8da151daa15f","target":"graph","created_at":"2026-07-05T06:32:59Z","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/2307.10494/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The discovery of novel experimental techniques often lags behind contemporary theoretical understanding. In particular, it can be difficult to establish appropriate measurement protocols without analytic descriptions of the underlying system-of-interest. Here we propose a statistical learning framework that avoids the need for such descriptions for ergodic systems. We validate this framework by using Monte Carlo simulation and deep neural networks to learn a mapping between low-field nuclear magnetic resonance spectra and proton exchange rates in ethanol-water mixtures. We found that trained n","authors_text":"Ella Zhang, Leo L. Cheng, Matthew S. Rosen, Nicholas Hindley, Stephen J. DeVience","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.data-an","submitted_at":"2023-07-19T23:14:09Z","title":"A statistical learning framework for mapping indirect measurements of ergodic systems to emergent properties"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.10494","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":"sha256:9dedb595d12518987084be64345b82d7a92327bbf2e4bd0b6fcfef8e5ab589a6","target":"record","created_at":"2026-07-05T06:32:59Z","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":"c0765b3315823318695a5f8d1702cc427162f0836ed4fb281e5380a888589b47","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.data-an","submitted_at":"2023-07-19T23:14:09Z","title_canon_sha256":"7c148338ed432e79084f2565946331a099bcb936e6830d139d2cbc7673a1cc6c"},"schema_version":"1.0","source":{"id":"2307.10494","kind":"arxiv","version":1}},"canonical_sha256":"aef1eff0112248fac40320cc9a078d87f467fc444ef566ecfeb63f3222d1152c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"aef1eff0112248fac40320cc9a078d87f467fc444ef566ecfeb63f3222d1152c","first_computed_at":"2026-07-05T06:32:59.342580Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:32:59.342580Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+TvB9aaeTBSs7MdVefVX5aysngT+DHC550b6PV304rKIDK0wXJWAU1XCKi3hBQtDx6Pe22fCcUydwmHBcfRMCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:32:59.342988Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.10494","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9dedb595d12518987084be64345b82d7a92327bbf2e4bd0b6fcfef8e5ab589a6","sha256:82ff594dc78f563a8f79374c371051007206df1d9b9b638086aa8da151daa15f"],"state_sha256":"91153d38f9c4fe9c6c89c6f1c89ed7ac8797acfcbf287dd9a61c5b383b9e35ad"}