{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:MJUQJJ7JW2YCTATIH75YW7MOSW","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":"9bba9c21d6afe32b8ee60b5dbcb0428ff7b0b8b2c247a680833685d23f1598e1","cross_cats_sorted":["astro-ph.CO","astro-ph.IM","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-05-18T18:14:53Z","title_canon_sha256":"09fb424b75734e6e90445ab59c9af5d596b5af54ea3620242662632266f20713"},"schema_version":"1.0","source":{"id":"2305.11241","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.11241","created_at":"2026-07-05T07:32:09Z"},{"alias_kind":"arxiv_version","alias_value":"2305.11241v2","created_at":"2026-07-05T07:32:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.11241","created_at":"2026-07-05T07:32:09Z"},{"alias_kind":"pith_short_12","alias_value":"MJUQJJ7JW2YC","created_at":"2026-07-05T07:32:09Z"},{"alias_kind":"pith_short_16","alias_value":"MJUQJJ7JW2YCTATI","created_at":"2026-07-05T07:32:09Z"},{"alias_kind":"pith_short_8","alias_value":"MJUQJJ7J","created_at":"2026-07-05T07:32:09Z"}],"graph_snapshots":[{"event_id":"sha256:cfcc9c34affc63c2500a4054fd25b351acf9da7716a3a7eef7a77136708ad329","target":"graph","created_at":"2026-07-05T07:32:09Z","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/2305.11241/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Evidence Networks can enable Bayesian model comparison when state-of-the-art methods (e.g. nested sampling) fail and even when likelihoods or priors are intractable or unknown. Bayesian model comparison, i.e. the computation of Bayes factors or evidence ratios, can be cast as an optimization problem. Though the Bayesian interpretation of optimal classification is well-known, here we change perspective and present classes of loss functions that result in fast, amortized neural estimators that directly estimate convenient functions of the Bayes factor. This mitigates numerical inaccuracies assoc","authors_text":"Benjamin D. Wandelt, Niall Jeffrey","cross_cats":["astro-ph.CO","astro-ph.IM","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-05-18T18:14:53Z","title":"Evidence Networks: simple losses for fast, amortized, neural Bayesian model comparison"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.11241","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:c66c98bdcabebdf5e6b5e300b56193e875ab9e5f75b9d8c5d131ab2646124615","target":"record","created_at":"2026-07-05T07:32:09Z","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":"9bba9c21d6afe32b8ee60b5dbcb0428ff7b0b8b2c247a680833685d23f1598e1","cross_cats_sorted":["astro-ph.CO","astro-ph.IM","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-05-18T18:14:53Z","title_canon_sha256":"09fb424b75734e6e90445ab59c9af5d596b5af54ea3620242662632266f20713"},"schema_version":"1.0","source":{"id":"2305.11241","kind":"arxiv","version":2}},"canonical_sha256":"626904a7e9b6b02982683ffb8b7d8e9583bf9f22b0f0bc0ebac558d2dac1247f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"626904a7e9b6b02982683ffb8b7d8e9583bf9f22b0f0bc0ebac558d2dac1247f","first_computed_at":"2026-07-05T07:32:09.548839Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:32:09.548839Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fdIt4Sx0Fed5seyqPCkypXmS1DoBT2/CLUgWSu1T14+nwywlgKRDnTmlGb5Ey/vlQJP4IJFmmP30ZeyQNQi1Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:32:09.549476Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.11241","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c66c98bdcabebdf5e6b5e300b56193e875ab9e5f75b9d8c5d131ab2646124615","sha256:cfcc9c34affc63c2500a4054fd25b351acf9da7716a3a7eef7a77136708ad329"],"state_sha256":"0bc4c64ecdf39e49ff197fac9353bb2fccd8a2cf90eda22b94c29ae6b93d8a32"}