{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:BVAF6VAF7JYUFO23DIVPBAYUE5","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":"8c50aaef82f19e9d0fb607c43296c1595d3cb7b4d72f35cd887f0c0a52410469","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-08-14T14:58:59Z","title_canon_sha256":"8d6301b4e1cb7993a7f41ea3e719d167a74ee8b7a41a06689532d011089c876d"},"schema_version":"1.0","source":{"id":"1808.04730","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1808.04730","created_at":"2026-05-17T23:54:39Z"},{"alias_kind":"arxiv_version","alias_value":"1808.04730v3","created_at":"2026-05-17T23:54:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.04730","created_at":"2026-05-17T23:54:39Z"},{"alias_kind":"pith_short_12","alias_value":"BVAF6VAF7JYU","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_16","alias_value":"BVAF6VAF7JYUFO23","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_8","alias_value":"BVAF6VAF","created_at":"2026-05-18T12:32:16Z"}],"graph_snapshots":[{"event_id":"sha256:590ee5c60d904ba564f8bce6ca0bdd7a31c892c3e0bb527775f363bba1a889ea","target":"graph","created_at":"2026-05-17T23:54:39Z","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"},"paper":{"abstract_excerpt":"In many tasks, in particular in natural science, the goal is to determine hidden system parameters from a set of measurements. Often, the forward process from parameter- to measurement-space is a well-defined function, whereas the inverse problem is ambiguous: one measurement may map to multiple different sets of parameters. In this setting, the posterior parameter distribution, conditioned on an input measurement, has to be determined. We argue that a particular class of neural networks is well suited for this task -- so-called Invertible Neural Networks (INNs). Although INNs are not new, the","authors_text":"Carsten Rother, Daniel Rahner, Eric W. Pellegrini, Jakob Kruse, Lena Maier-Hein, Lynton Ardizzone, Ralf S. Klessen, Sebastian Wirkert, Ullrich K\\\"othe","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-08-14T14:58:59Z","title":"Analyzing Inverse Problems with Invertible Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.04730","kind":"arxiv","version":3},"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":"sha256:307c6dfd35af6b340cd8f189cbdece4da278c66bf5cd044603619a2c1949f4b4","target":"record","created_at":"2026-05-17T23:54:39Z","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":"8c50aaef82f19e9d0fb607c43296c1595d3cb7b4d72f35cd887f0c0a52410469","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-08-14T14:58:59Z","title_canon_sha256":"8d6301b4e1cb7993a7f41ea3e719d167a74ee8b7a41a06689532d011089c876d"},"schema_version":"1.0","source":{"id":"1808.04730","kind":"arxiv","version":3}},"canonical_sha256":"0d405f5405fa7142bb5b1a2af08314276daccaa8695b47ca16e1c95b92fa1b13","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0d405f5405fa7142bb5b1a2af08314276daccaa8695b47ca16e1c95b92fa1b13","first_computed_at":"2026-05-17T23:54:39.363472Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:54:39.363472Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"exEpzbVN1uICw8hRjd/tdW8yISxnTRt4+y7fBe+akKJ/tyHaAJ7bjdCDTaQVqjzN7D76Rn9eA4Uhg5gGjjy4CQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:54:39.363920Z","signed_message":"canonical_sha256_bytes"},"source_id":"1808.04730","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:307c6dfd35af6b340cd8f189cbdece4da278c66bf5cd044603619a2c1949f4b4","sha256:590ee5c60d904ba564f8bce6ca0bdd7a31c892c3e0bb527775f363bba1a889ea"],"state_sha256":"8e6d5dc46612eaca3d41348c876fd29c81bcba2a56bf9767baf26905db10e42e"}