{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:UGG6Z42XVM26L6BGOIARLEBQGG","short_pith_number":"pith:UGG6Z42X","canonical_record":{"source":{"id":"1905.12432","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2019-05-29T13:31:30Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"d1f58fdd6589117b1e81e7c23188a014b716dff90d63c1f7c21736ce08913bac","abstract_canon_sha256":"22087cb61f993f38a1dfaae6dafeb3249674b8c232560629eb41837155b00213"},"schema_version":"1.0"},"canonical_sha256":"a18decf357ab35e5f826720115903031af9f4745f1a8b469b19224efc249d34e","source":{"kind":"arxiv","id":"1905.12432","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.12432","created_at":"2026-05-17T23:44:41Z"},{"alias_kind":"arxiv_version","alias_value":"1905.12432v1","created_at":"2026-05-17T23:44:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.12432","created_at":"2026-05-17T23:44:41Z"},{"alias_kind":"pith_short_12","alias_value":"UGG6Z42XVM26","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_16","alias_value":"UGG6Z42XVM26L6BG","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_8","alias_value":"UGG6Z42X","created_at":"2026-05-18T12:33:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:UGG6Z42XVM26L6BGOIARLEBQGG","target":"record","payload":{"canonical_record":{"source":{"id":"1905.12432","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2019-05-29T13:31:30Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"d1f58fdd6589117b1e81e7c23188a014b716dff90d63c1f7c21736ce08913bac","abstract_canon_sha256":"22087cb61f993f38a1dfaae6dafeb3249674b8c232560629eb41837155b00213"},"schema_version":"1.0"},"canonical_sha256":"a18decf357ab35e5f826720115903031af9f4745f1a8b469b19224efc249d34e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:44:41.924006Z","signature_b64":"O8Liek5pw+GbMr3z7E3WJqPEqxTcCShXrUAGF2VFY1EMl3eu6DmYwtYuH4M6w/S3UYkFsMXUMI5BD2DYVmTrAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a18decf357ab35e5f826720115903031af9f4745f1a8b469b19224efc249d34e","last_reissued_at":"2026-05-17T23:44:41.923454Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:44:41.923454Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1905.12432","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:44:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"q4WIJ7Y3UXLEA7UKOhxCCjShyDMFfXPtQI8e6vx999tzmm1Ot+qSf0G76pm3BmBJwTAiXFRJUwm+FYnEpu6TDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T06:29:43.932086Z"},"content_sha256":"d5607bacadd5eb443dbaf833f7cd9205d8a49eb49d00112af9511bce1c9a144c","schema_version":"1.0","event_id":"sha256:d5607bacadd5eb443dbaf833f7cd9205d8a49eb49d00112af9511bce1c9a144c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:UGG6Z42XVM26L6BGOIARLEBQGG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Hijacking Malaria Simulators with Probabilistic Programming","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"At{\\i}l{\\i}m G\\\"une\\c{s} Baydin, Bradley Gram-Hansen, Christian Schr\\\"oder de Witt, Philip H.S. Torr, Tom Rainforth, Yee Whye Teh","submitted_at":"2019-05-29T13:31:30Z","abstract_excerpt":"Epidemiology simulations have become a fundamental tool in the fight against the epidemics of various infectious diseases like AIDS and malaria. However, the complicated and stochastic nature of these simulators can mean their output is difficult to interpret, which reduces their usefulness to policymakers. In this paper, we introduce an approach that allows one to treat a large class of population-based epidemiology simulators as probabilistic generative models. This is achieved by hijacking the internal random number generator calls, through the use of a universal probabilistic programming s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.12432","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:44:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4+1sQhtpnWHMZESY0KaiBOZ2m6JDis2GcalHXGwRjtPR5aEGQ4QnDI7eVNxGhumiJt0Rs0erXdeIPT9dbre6Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T06:29:43.932541Z"},"content_sha256":"41a6d7dbae08bb9c4776062bdb5b75490f2bf57b02a22dda031b906fde3ca17c","schema_version":"1.0","event_id":"sha256:41a6d7dbae08bb9c4776062bdb5b75490f2bf57b02a22dda031b906fde3ca17c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UGG6Z42XVM26L6BGOIARLEBQGG/bundle.json","state_url":"https://pith.science/pith/UGG6Z42XVM26L6BGOIARLEBQGG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UGG6Z42XVM26L6BGOIARLEBQGG/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-30T06:29:43Z","links":{"resolver":"https://pith.science/pith/UGG6Z42XVM26L6BGOIARLEBQGG","bundle":"https://pith.science/pith/UGG6Z42XVM26L6BGOIARLEBQGG/bundle.json","state":"https://pith.science/pith/UGG6Z42XVM26L6BGOIARLEBQGG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UGG6Z42XVM26L6BGOIARLEBQGG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:UGG6Z42XVM26L6BGOIARLEBQGG","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":"22087cb61f993f38a1dfaae6dafeb3249674b8c232560629eb41837155b00213","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2019-05-29T13:31:30Z","title_canon_sha256":"d1f58fdd6589117b1e81e7c23188a014b716dff90d63c1f7c21736ce08913bac"},"schema_version":"1.0","source":{"id":"1905.12432","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.12432","created_at":"2026-05-17T23:44:41Z"},{"alias_kind":"arxiv_version","alias_value":"1905.12432v1","created_at":"2026-05-17T23:44:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.12432","created_at":"2026-05-17T23:44:41Z"},{"alias_kind":"pith_short_12","alias_value":"UGG6Z42XVM26","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_16","alias_value":"UGG6Z42XVM26L6BG","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_8","alias_value":"UGG6Z42X","created_at":"2026-05-18T12:33:30Z"}],"graph_snapshots":[{"event_id":"sha256:41a6d7dbae08bb9c4776062bdb5b75490f2bf57b02a22dda031b906fde3ca17c","target":"graph","created_at":"2026-05-17T23:44:41Z","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":"Epidemiology simulations have become a fundamental tool in the fight against the epidemics of various infectious diseases like AIDS and malaria. However, the complicated and stochastic nature of these simulators can mean their output is difficult to interpret, which reduces their usefulness to policymakers. In this paper, we introduce an approach that allows one to treat a large class of population-based epidemiology simulators as probabilistic generative models. This is achieved by hijacking the internal random number generator calls, through the use of a universal probabilistic programming s","authors_text":"At{\\i}l{\\i}m G\\\"une\\c{s} Baydin, Bradley Gram-Hansen, Christian Schr\\\"oder de Witt, Philip H.S. Torr, Tom Rainforth, Yee Whye Teh","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2019-05-29T13:31:30Z","title":"Hijacking Malaria Simulators with Probabilistic Programming"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.12432","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:d5607bacadd5eb443dbaf833f7cd9205d8a49eb49d00112af9511bce1c9a144c","target":"record","created_at":"2026-05-17T23:44:41Z","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":"22087cb61f993f38a1dfaae6dafeb3249674b8c232560629eb41837155b00213","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2019-05-29T13:31:30Z","title_canon_sha256":"d1f58fdd6589117b1e81e7c23188a014b716dff90d63c1f7c21736ce08913bac"},"schema_version":"1.0","source":{"id":"1905.12432","kind":"arxiv","version":1}},"canonical_sha256":"a18decf357ab35e5f826720115903031af9f4745f1a8b469b19224efc249d34e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a18decf357ab35e5f826720115903031af9f4745f1a8b469b19224efc249d34e","first_computed_at":"2026-05-17T23:44:41.923454Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:44:41.923454Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"O8Liek5pw+GbMr3z7E3WJqPEqxTcCShXrUAGF2VFY1EMl3eu6DmYwtYuH4M6w/S3UYkFsMXUMI5BD2DYVmTrAg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:44:41.924006Z","signed_message":"canonical_sha256_bytes"},"source_id":"1905.12432","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d5607bacadd5eb443dbaf833f7cd9205d8a49eb49d00112af9511bce1c9a144c","sha256:41a6d7dbae08bb9c4776062bdb5b75490f2bf57b02a22dda031b906fde3ca17c"],"state_sha256":"c0b4e1455ab8f7f9470e04be9b1244271cb05811d5504f7a2c69ee483a5e3312"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"E6DHWjRvVPbJexTpZpbo4oWyVY8LZPAr4WxtHCNU+SrGeZiiKDTAToUPGJY/FOA+On1tAnjByuFrmFtBxWPiAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T06:29:43.935001Z","bundle_sha256":"fa636f7a69d350d1c9594c73d46112198d8f04c1524ee91bf1c5c0349964e4de"}}