{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:7IMXGJHBKOLJEIDWRRK2KOUQQW","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":"2ca61fdcce4d053e592100c5a9303ec261af5171bd83bee8e955cc217d49596f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2024-08-07T10:50:59Z","title_canon_sha256":"6e477dd937e507fb3a3f84d143a8bcc4d43719f6ba8522fa7b0dd5c646d7949f"},"schema_version":"1.0","source":{"id":"2408.03682","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.03682","created_at":"2026-07-05T08:53:01Z"},{"alias_kind":"arxiv_version","alias_value":"2408.03682v1","created_at":"2026-07-05T08:53:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.03682","created_at":"2026-07-05T08:53:01Z"},{"alias_kind":"pith_short_12","alias_value":"7IMXGJHBKOLJ","created_at":"2026-07-05T08:53:01Z"},{"alias_kind":"pith_short_16","alias_value":"7IMXGJHBKOLJEIDW","created_at":"2026-07-05T08:53:01Z"},{"alias_kind":"pith_short_8","alias_value":"7IMXGJHB","created_at":"2026-07-05T08:53:01Z"}],"graph_snapshots":[{"event_id":"sha256:2d5728e3eee40e59b9eb505e1ee2ac81ed6ffc3262072e1cb094a8afdc170048","target":"graph","created_at":"2026-07-05T08:53:01Z","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/2408.03682/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Piecewise deterministic Markov processes (PDMPs) are a class of continuous-time Markov processes that were recently used to develop a new class of Markov chain Monte Carlo algorithms. However, the implementation of the processes is challenging due to the continuous-time aspect and the necessity of integrating the rate function. Recently, Corbella, Spencer, and Roberts (2022) proposed a new algorithm to automate the implementation of the Zig-Zag sampler. However, the efficiency of the algorithm highly depends on a hyperparameter ($t_{\\text{max}}$) that is fixed all along the run of the algorith","authors_text":"Charly Andral, Kengo Kamatani","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2024-08-07T10:50:59Z","title":"Automated Techniques for Efficient Sampling of Piecewise-Deterministic Markov Processes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.03682","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":"sha256:4cbed26e6cd3f80537dd7a7163448d7565f3f634c8b1548417ea434d06fc5287","target":"record","created_at":"2026-07-05T08:53:01Z","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":"2ca61fdcce4d053e592100c5a9303ec261af5171bd83bee8e955cc217d49596f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2024-08-07T10:50:59Z","title_canon_sha256":"6e477dd937e507fb3a3f84d143a8bcc4d43719f6ba8522fa7b0dd5c646d7949f"},"schema_version":"1.0","source":{"id":"2408.03682","kind":"arxiv","version":1}},"canonical_sha256":"fa197324e153969220768c55a53a908589a2676df1d5c17f5b106c2e6d2d661d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fa197324e153969220768c55a53a908589a2676df1d5c17f5b106c2e6d2d661d","first_computed_at":"2026-07-05T08:53:01.817174Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:53:01.817174Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dBRmY6sCU+AAo0DI0/FmMcr1QORjW8nTMDYeA5UidYLuJOMCZ1+oUHXbNf8+iDkqLOVrXWy2uO5kPrcXg5MDDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:53:01.817617Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.03682","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4cbed26e6cd3f80537dd7a7163448d7565f3f634c8b1548417ea434d06fc5287","sha256:2d5728e3eee40e59b9eb505e1ee2ac81ed6ffc3262072e1cb094a8afdc170048"],"state_sha256":"08f652543acc9a3638c1eb19d8b922db72baff3fe340c59608fdcfeaecc179a3"}