{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:LQE74ZGLGW6YHUAAZNV24QKU5S","short_pith_number":"pith:LQE74ZGL","canonical_record":{"source":{"id":"1805.12244","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-05-30T22:14:20Z","cross_cats_sorted":["cs.LG","hep-ph","physics.data-an"],"title_canon_sha256":"dc88e221286113ad2a1bf60911bb4bf44f7af4b040db04c5337f9b83c9456db6","abstract_canon_sha256":"945d7382e288a37fd469f9254cf3eea6d3ed04f464077e391d74131cdea4923e"},"schema_version":"1.0"},"canonical_sha256":"5c09fe64cb35bd83d000cb6bae4154ec9d7b21f0f1737fc6f1eaa689890acb97","source":{"kind":"arxiv","id":"1805.12244","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.12244","created_at":"2026-07-05T00:42:58Z"},{"alias_kind":"arxiv_version","alias_value":"1805.12244v4","created_at":"2026-07-05T00:42:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.12244","created_at":"2026-07-05T00:42:58Z"},{"alias_kind":"pith_short_12","alias_value":"LQE74ZGLGW6Y","created_at":"2026-07-05T00:42:58Z"},{"alias_kind":"pith_short_16","alias_value":"LQE74ZGLGW6YHUAA","created_at":"2026-07-05T00:42:58Z"},{"alias_kind":"pith_short_8","alias_value":"LQE74ZGL","created_at":"2026-07-05T00:42:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:LQE74ZGLGW6YHUAAZNV24QKU5S","target":"record","payload":{"canonical_record":{"source":{"id":"1805.12244","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-05-30T22:14:20Z","cross_cats_sorted":["cs.LG","hep-ph","physics.data-an"],"title_canon_sha256":"dc88e221286113ad2a1bf60911bb4bf44f7af4b040db04c5337f9b83c9456db6","abstract_canon_sha256":"945d7382e288a37fd469f9254cf3eea6d3ed04f464077e391d74131cdea4923e"},"schema_version":"1.0"},"canonical_sha256":"5c09fe64cb35bd83d000cb6bae4154ec9d7b21f0f1737fc6f1eaa689890acb97","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:42:58.359311Z","signature_b64":"kNqRfe7Yux3jFhM4CAzz8OWt3JzITzb2YZcqHYSl+0qzA3oBaoFhfkXt6mizXIaXFIlzaY/FH356IWrv2kcgDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5c09fe64cb35bd83d000cb6bae4154ec9d7b21f0f1737fc6f1eaa689890acb97","last_reissued_at":"2026-07-05T00:42:58.358829Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:42:58.358829Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1805.12244","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T00:42:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bl7wjehnm8c9PFMBZWGyGpFXSkzbv30OT5hHtsPtn1QRBTHb6bUA+JLhZ1N+fuGLSw5/l1+PGFfFjqgSjaaLCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T04:53:11.727908Z"},"content_sha256":"b23bfdd2df3df7347da6a157de10c80d905fc77c7e25caf800ff82a3c3a443a7","schema_version":"1.0","event_id":"sha256:b23bfdd2df3df7347da6a157de10c80d905fc77c7e25caf800ff82a3c3a443a7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:LQE74ZGLGW6YHUAAZNV24QKU5S","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Mining gold from implicit models to improve likelihood-free inference","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","hep-ph","physics.data-an"],"primary_cat":"stat.ML","authors_text":"Gilles Louppe, Johann Brehmer, Juan Pavez, Kyle Cranmer","submitted_at":"2018-05-30T22:14:20Z","abstract_excerpt":"Simulators often provide the best description of real-world phenomena. However, they also lead to challenging inverse problems because the density they implicitly define is often intractable. We present a new suite of simulation-based inference techniques that go beyond the traditional Approximate Bayesian Computation approach, which struggles in a high-dimensional setting, and extend methods that use surrogate models based on neural networks. We show that additional information, such as the joint likelihood ratio and the joint score, can often be extracted from simulators and used to augment "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.12244","kind":"arxiv","version":4},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/1805.12244/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T00:42:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7oL3P71lg7lCQcyvLFekThCQCKurrMeabL89OPh27yD1InbTTSUXaoiifiXmKHWx/zuVpQERe4nNRCmOCvGeAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T04:53:11.728682Z"},"content_sha256":"568cfa9ab5ab5907f9c749780db1e3bcd3dcf7b5d165d5562797a0dff31913af","schema_version":"1.0","event_id":"sha256:568cfa9ab5ab5907f9c749780db1e3bcd3dcf7b5d165d5562797a0dff31913af"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LQE74ZGLGW6YHUAAZNV24QKU5S/bundle.json","state_url":"https://pith.science/pith/LQE74ZGLGW6YHUAAZNV24QKU5S/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LQE74ZGLGW6YHUAAZNV24QKU5S/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":"2026-08-20T04:53:11Z","links":{"resolver":"https://pith.science/pith/LQE74ZGLGW6YHUAAZNV24QKU5S","bundle":"https://pith.science/pith/LQE74ZGLGW6YHUAAZNV24QKU5S/bundle.json","state":"https://pith.science/pith/LQE74ZGLGW6YHUAAZNV24QKU5S/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LQE74ZGLGW6YHUAAZNV24QKU5S/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:LQE74ZGLGW6YHUAAZNV24QKU5S","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":"945d7382e288a37fd469f9254cf3eea6d3ed04f464077e391d74131cdea4923e","cross_cats_sorted":["cs.LG","hep-ph","physics.data-an"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-05-30T22:14:20Z","title_canon_sha256":"dc88e221286113ad2a1bf60911bb4bf44f7af4b040db04c5337f9b83c9456db6"},"schema_version":"1.0","source":{"id":"1805.12244","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.12244","created_at":"2026-07-05T00:42:58Z"},{"alias_kind":"arxiv_version","alias_value":"1805.12244v4","created_at":"2026-07-05T00:42:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.12244","created_at":"2026-07-05T00:42:58Z"},{"alias_kind":"pith_short_12","alias_value":"LQE74ZGLGW6Y","created_at":"2026-07-05T00:42:58Z"},{"alias_kind":"pith_short_16","alias_value":"LQE74ZGLGW6YHUAA","created_at":"2026-07-05T00:42:58Z"},{"alias_kind":"pith_short_8","alias_value":"LQE74ZGL","created_at":"2026-07-05T00:42:58Z"}],"graph_snapshots":[{"event_id":"sha256:568cfa9ab5ab5907f9c749780db1e3bcd3dcf7b5d165d5562797a0dff31913af","target":"graph","created_at":"2026-07-05T00:42:58Z","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/1805.12244/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Simulators often provide the best description of real-world phenomena. However, they also lead to challenging inverse problems because the density they implicitly define is often intractable. We present a new suite of simulation-based inference techniques that go beyond the traditional Approximate Bayesian Computation approach, which struggles in a high-dimensional setting, and extend methods that use surrogate models based on neural networks. We show that additional information, such as the joint likelihood ratio and the joint score, can often be extracted from simulators and used to augment ","authors_text":"Gilles Louppe, Johann Brehmer, Juan Pavez, Kyle Cranmer","cross_cats":["cs.LG","hep-ph","physics.data-an"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-05-30T22:14:20Z","title":"Mining gold from implicit models to improve likelihood-free inference"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.12244","kind":"arxiv","version":4},"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:b23bfdd2df3df7347da6a157de10c80d905fc77c7e25caf800ff82a3c3a443a7","target":"record","created_at":"2026-07-05T00:42:58Z","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":"945d7382e288a37fd469f9254cf3eea6d3ed04f464077e391d74131cdea4923e","cross_cats_sorted":["cs.LG","hep-ph","physics.data-an"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-05-30T22:14:20Z","title_canon_sha256":"dc88e221286113ad2a1bf60911bb4bf44f7af4b040db04c5337f9b83c9456db6"},"schema_version":"1.0","source":{"id":"1805.12244","kind":"arxiv","version":4}},"canonical_sha256":"5c09fe64cb35bd83d000cb6bae4154ec9d7b21f0f1737fc6f1eaa689890acb97","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5c09fe64cb35bd83d000cb6bae4154ec9d7b21f0f1737fc6f1eaa689890acb97","first_computed_at":"2026-07-05T00:42:58.358829Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:42:58.358829Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kNqRfe7Yux3jFhM4CAzz8OWt3JzITzb2YZcqHYSl+0qzA3oBaoFhfkXt6mizXIaXFIlzaY/FH356IWrv2kcgDw==","signature_status":"signed_v1","signed_at":"2026-07-05T00:42:58.359311Z","signed_message":"canonical_sha256_bytes"},"source_id":"1805.12244","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b23bfdd2df3df7347da6a157de10c80d905fc77c7e25caf800ff82a3c3a443a7","sha256:568cfa9ab5ab5907f9c749780db1e3bcd3dcf7b5d165d5562797a0dff31913af"],"state_sha256":"0b828a0f09a59439ba18d55d9032e39830a2f4d31c07881e21ffba3701d270b5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"h39qbrVOWqPGYAu8R52x0xqxBTk7zy5SMrCju+a5BatxdqY8Kp1MZiHmHsFJ0trB9pb6djyvKpYkEKYQk7GWBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T04:53:11.733583Z","bundle_sha256":"cf759cbd0cfefcab5437c57c4b3386e27f85331dd31ec508fbf944f0bd501523"}}