{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:7IMXGJHBKOLJEIDWRRK2KOUQQW","short_pith_number":"pith:7IMXGJHB","canonical_record":{"source":{"id":"2408.03682","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2024-08-07T10:50:59Z","cross_cats_sorted":[],"title_canon_sha256":"6e477dd937e507fb3a3f84d143a8bcc4d43719f6ba8522fa7b0dd5c646d7949f","abstract_canon_sha256":"2ca61fdcce4d053e592100c5a9303ec261af5171bd83bee8e955cc217d49596f"},"schema_version":"1.0"},"canonical_sha256":"fa197324e153969220768c55a53a908589a2676df1d5c17f5b106c2e6d2d661d","source":{"kind":"arxiv","id":"2408.03682","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"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:7IMXGJHBKOLJEIDWRRK2KOUQQW","target":"record","payload":{"canonical_record":{"source":{"id":"2408.03682","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2024-08-07T10:50:59Z","cross_cats_sorted":[],"title_canon_sha256":"6e477dd937e507fb3a3f84d143a8bcc4d43719f6ba8522fa7b0dd5c646d7949f","abstract_canon_sha256":"2ca61fdcce4d053e592100c5a9303ec261af5171bd83bee8e955cc217d49596f"},"schema_version":"1.0"},"canonical_sha256":"fa197324e153969220768c55a53a908589a2676df1d5c17f5b106c2e6d2d661d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:53:01.817617Z","signature_b64":"dBRmY6sCU+AAo0DI0/FmMcr1QORjW8nTMDYeA5UidYLuJOMCZ1+oUHXbNf8+iDkqLOVrXWy2uO5kPrcXg5MDDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fa197324e153969220768c55a53a908589a2676df1d5c17f5b106c2e6d2d661d","last_reissued_at":"2026-07-05T08:53:01.817174Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:53:01.817174Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2408.03682","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":"2026-07-05T08:53:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uQgJkuF2WrVSQEwTwmT3ihmR8O9xqVI6ZA84jpXP7jTTaC2Y8esj2642Z9FO44mDYimmjFq1NsXZ391sMt9aBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T10:11:17.250793Z"},"content_sha256":"4cbed26e6cd3f80537dd7a7163448d7565f3f634c8b1548417ea434d06fc5287","schema_version":"1.0","event_id":"sha256:4cbed26e6cd3f80537dd7a7163448d7565f3f634c8b1548417ea434d06fc5287"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:7IMXGJHBKOLJEIDWRRK2KOUQQW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Automated Techniques for Efficient Sampling of Piecewise-Deterministic Markov Processes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.CO","authors_text":"Charly Andral, Kengo Kamatani","submitted_at":"2024-08-07T10:50:59Z","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"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.03682","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2408.03682/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":"2026-07-05T08:53:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4uTx391EJYCrrXfwoszqj2R+KQMdl0/M3MctGYaabhZTbeJtLzS8wD8wHAz0AinmUvZaTXY2u6FxdSiJ7hmDDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T10:11:17.251316Z"},"content_sha256":"2d5728e3eee40e59b9eb505e1ee2ac81ed6ffc3262072e1cb094a8afdc170048","schema_version":"1.0","event_id":"sha256:2d5728e3eee40e59b9eb505e1ee2ac81ed6ffc3262072e1cb094a8afdc170048"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7IMXGJHBKOLJEIDWRRK2KOUQQW/bundle.json","state_url":"https://pith.science/pith/7IMXGJHBKOLJEIDWRRK2KOUQQW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7IMXGJHBKOLJEIDWRRK2KOUQQW/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":"2026-08-07T10:11:17Z","links":{"resolver":"https://pith.science/pith/7IMXGJHBKOLJEIDWRRK2KOUQQW","bundle":"https://pith.science/pith/7IMXGJHBKOLJEIDWRRK2KOUQQW/bundle.json","state":"https://pith.science/pith/7IMXGJHBKOLJEIDWRRK2KOUQQW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7IMXGJHBKOLJEIDWRRK2KOUQQW/bundle.json"},"state":{"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"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6Fnylch5Z4KVopcVMDk+eF19BVnKGDSI/JJ4BnEA4MJqbU85fZHPpD2Ciw4rmG9OgIvy4Su/pY56ATmCl6lbDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T10:11:17.263546Z","bundle_sha256":"77ecb8e10fac0f7c7f4eebad83c753ecad45b3e6ce8f3610a1c6cfc43f692da7"}}