{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:LR24AQT32X67IMOXP2WBPIBHZE","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":"1294212102e51a84ca168cfec8986b8a5b7637174b66fb31b186104a05c1e642","cross_cats_sorted":["q-bio.PE","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-02-16T22:36:16Z","title_canon_sha256":"fd5739ab6f1d486d85ce1b7deab7edaf43e00a66de4b12c7b98ac97877781dcb"},"schema_version":"1.0","source":{"id":"1802.06153","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1802.06153","created_at":"2026-05-18T00:01:30Z"},{"alias_kind":"arxiv_version","alias_value":"1802.06153v2","created_at":"2026-05-18T00:01:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1802.06153","created_at":"2026-05-18T00:01:30Z"},{"alias_kind":"pith_short_12","alias_value":"LR24AQT32X67","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_16","alias_value":"LR24AQT32X67IMOX","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_8","alias_value":"LR24AQT3","created_at":"2026-05-18T12:32:37Z"}],"graph_snapshots":[{"event_id":"sha256:26aff9189172b1860bd59d2a7506f58c7e08227c883cd64a77c3647d7fb5e3c0","target":"graph","created_at":"2026-05-18T00:01:30Z","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":"An explosion of high-throughput DNA sequencing in the past decade has led to a surge of interest in population-scale inference with whole-genome data. Recent work in population genetics has centered on designing inference methods for relatively simple model classes, and few scalable general-purpose inference techniques exist for more realistic, complex models. To achieve this, two inferential challenges need to be addressed: (1) population data are exchangeable, calling for methods that efficiently exploit the symmetries of the data, and (2) computing likelihoods is intractable as it requires ","authors_text":"Jeffrey Chan, Jeffrey P. Spence, Paul A. Jenkins, Sara Mathieson, Valerio Perrone, Yun S. Song","cross_cats":["q-bio.PE","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-02-16T22:36:16Z","title":"A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1802.06153","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":"sha256:22c5d2e99e5387e9c39d41a57895f6e1af9f70bd75f20df2a8f5b80f3772e276","target":"record","created_at":"2026-05-18T00:01:30Z","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":"1294212102e51a84ca168cfec8986b8a5b7637174b66fb31b186104a05c1e642","cross_cats_sorted":["q-bio.PE","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-02-16T22:36:16Z","title_canon_sha256":"fd5739ab6f1d486d85ce1b7deab7edaf43e00a66de4b12c7b98ac97877781dcb"},"schema_version":"1.0","source":{"id":"1802.06153","kind":"arxiv","version":2}},"canonical_sha256":"5c75c0427bd5fdf431d77eac17a027c901138b7e6fb17d022f49c5e631d3933b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5c75c0427bd5fdf431d77eac17a027c901138b7e6fb17d022f49c5e631d3933b","first_computed_at":"2026-05-18T00:01:30.094466Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:01:30.094466Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ASP8yHmCYL7vOQVbJUNgbFCXckuhm0b+vqF+WPyNZOUN+sjBLYCGhQCCMdmecJ2GTNDoCGsfSDCaEwlBolYlBw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:01:30.094891Z","signed_message":"canonical_sha256_bytes"},"source_id":"1802.06153","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:22c5d2e99e5387e9c39d41a57895f6e1af9f70bd75f20df2a8f5b80f3772e276","sha256:26aff9189172b1860bd59d2a7506f58c7e08227c883cd64a77c3647d7fb5e3c0"],"state_sha256":"9f8b4fc0d5a7e43a33a86ece9cea3101eb1ca8f18cf131f0e5e62bd99379d143"}