{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:TCKGJMWNEW6PLZMJEQSBVUTTHQ","short_pith_number":"pith:TCKGJMWN","canonical_record":{"source":{"id":"1411.6669","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-11-24T22:13:53Z","cross_cats_sorted":["math.ST","stat.TH"],"title_canon_sha256":"4fc62b8c8a543b242f6383b91336e12e57a07999a075a557d5a7633bedc4a546","abstract_canon_sha256":"b197b93b7d56f1d3cec5d56e5e9643a480b36cfac8e14e9bc95a4400e8ba29a3"},"schema_version":"1.0"},"canonical_sha256":"989464b2cd25bcf5e58924241ad2733c1df96fe1fb33c3ded3b103f314cd1a9b","source":{"kind":"arxiv","id":"1411.6669","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1411.6669","created_at":"2026-05-18T02:28:11Z"},{"alias_kind":"arxiv_version","alias_value":"1411.6669v2","created_at":"2026-05-18T02:28:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1411.6669","created_at":"2026-05-18T02:28:11Z"},{"alias_kind":"pith_short_12","alias_value":"TCKGJMWNEW6P","created_at":"2026-05-18T12:28:49Z"},{"alias_kind":"pith_short_16","alias_value":"TCKGJMWNEW6PLZMJ","created_at":"2026-05-18T12:28:49Z"},{"alias_kind":"pith_short_8","alias_value":"TCKGJMWN","created_at":"2026-05-18T12:28:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:TCKGJMWNEW6PLZMJEQSBVUTTHQ","target":"record","payload":{"canonical_record":{"source":{"id":"1411.6669","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-11-24T22:13:53Z","cross_cats_sorted":["math.ST","stat.TH"],"title_canon_sha256":"4fc62b8c8a543b242f6383b91336e12e57a07999a075a557d5a7633bedc4a546","abstract_canon_sha256":"b197b93b7d56f1d3cec5d56e5e9643a480b36cfac8e14e9bc95a4400e8ba29a3"},"schema_version":"1.0"},"canonical_sha256":"989464b2cd25bcf5e58924241ad2733c1df96fe1fb33c3ded3b103f314cd1a9b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:28:11.383751Z","signature_b64":"fItDiJJJU/rwD7xFrY6DaI5+YdgmgI00D8RiAWCiWaWyKKptbM7DiZUQFKvIdmriAVa+sZXX6E+F3zVnjB0IDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"989464b2cd25bcf5e58924241ad2733c1df96fe1fb33c3ded3b103f314cd1a9b","last_reissued_at":"2026-05-18T02:28:11.383132Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:28:11.383132Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1411.6669","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T02:28:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FCA6t3z6ovD+34hZtsYhNOUj6zcm35Vg7soxY6pUxlt/sijS6SIhC9d59/cj7l1phVXCbCLXx+x0EdzI4b1TAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-21T10:21:11.035092Z"},"content_sha256":"8464223ef92cc01bdf5260d38e2c6498d4923c23f3adf78b346344612f9626dc","schema_version":"1.0","event_id":"sha256:8464223ef92cc01bdf5260d38e2c6498d4923c23f3adf78b346344612f9626dc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:TCKGJMWNEW6PLZMJEQSBVUTTHQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Optimizing The Integrator Step Size for Hamiltonian Monte Carlo","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.ST","stat.TH"],"primary_cat":"stat.ME","authors_text":"Mark Girolami, M.J. Betancourt, Simon Byrne","submitted_at":"2014-11-24T22:13:53Z","abstract_excerpt":"Hamiltonian Monte Carlo can provide powerful inference in complex statistical problems, but ultimately its performance is sensitive to various tuning parameters. In this paper we use the underlying geometry of Hamiltonian Monte Carlo to construct a universal optimization criteria for tuning the step size of the symplectic integrator crucial to any implementation of the algorithm as well as diagnostics to monitor for any signs of invalidity. An immediate outcome of this result is that the suggested target average acceptance probability of 0.651 can be relaxed to $0.6 \\lesssim a \\lesssim 0.9$ wi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1411.6669","kind":"arxiv","version":2},"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":"2026-05-18T02:28:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Yj/4raM8wrNlWfcFrvBWW6jLoo4jsLXHpSDzVgxFTAfMCV5Ai94iOo73OxtyjRbtN4dFSNufOGJ8lFDegWesBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-21T10:21:11.035722Z"},"content_sha256":"77186f7ce693894ef33cef42af9829bc8eb9200ce502d3002d6143e94dbca3f4","schema_version":"1.0","event_id":"sha256:77186f7ce693894ef33cef42af9829bc8eb9200ce502d3002d6143e94dbca3f4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TCKGJMWNEW6PLZMJEQSBVUTTHQ/bundle.json","state_url":"https://pith.science/pith/TCKGJMWNEW6PLZMJEQSBVUTTHQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TCKGJMWNEW6PLZMJEQSBVUTTHQ/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":"2026-05-21T10:21:11Z","links":{"resolver":"https://pith.science/pith/TCKGJMWNEW6PLZMJEQSBVUTTHQ","bundle":"https://pith.science/pith/TCKGJMWNEW6PLZMJEQSBVUTTHQ/bundle.json","state":"https://pith.science/pith/TCKGJMWNEW6PLZMJEQSBVUTTHQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TCKGJMWNEW6PLZMJEQSBVUTTHQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:TCKGJMWNEW6PLZMJEQSBVUTTHQ","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":"b197b93b7d56f1d3cec5d56e5e9643a480b36cfac8e14e9bc95a4400e8ba29a3","cross_cats_sorted":["math.ST","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-11-24T22:13:53Z","title_canon_sha256":"4fc62b8c8a543b242f6383b91336e12e57a07999a075a557d5a7633bedc4a546"},"schema_version":"1.0","source":{"id":"1411.6669","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1411.6669","created_at":"2026-05-18T02:28:11Z"},{"alias_kind":"arxiv_version","alias_value":"1411.6669v2","created_at":"2026-05-18T02:28:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1411.6669","created_at":"2026-05-18T02:28:11Z"},{"alias_kind":"pith_short_12","alias_value":"TCKGJMWNEW6P","created_at":"2026-05-18T12:28:49Z"},{"alias_kind":"pith_short_16","alias_value":"TCKGJMWNEW6PLZMJ","created_at":"2026-05-18T12:28:49Z"},{"alias_kind":"pith_short_8","alias_value":"TCKGJMWN","created_at":"2026-05-18T12:28:49Z"}],"graph_snapshots":[{"event_id":"sha256:77186f7ce693894ef33cef42af9829bc8eb9200ce502d3002d6143e94dbca3f4","target":"graph","created_at":"2026-05-18T02:28:11Z","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":"Hamiltonian Monte Carlo can provide powerful inference in complex statistical problems, but ultimately its performance is sensitive to various tuning parameters. In this paper we use the underlying geometry of Hamiltonian Monte Carlo to construct a universal optimization criteria for tuning the step size of the symplectic integrator crucial to any implementation of the algorithm as well as diagnostics to monitor for any signs of invalidity. An immediate outcome of this result is that the suggested target average acceptance probability of 0.651 can be relaxed to $0.6 \\lesssim a \\lesssim 0.9$ wi","authors_text":"Mark Girolami, M.J. Betancourt, Simon Byrne","cross_cats":["math.ST","stat.TH"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-11-24T22:13:53Z","title":"Optimizing The Integrator Step Size for Hamiltonian Monte Carlo"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1411.6669","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":"sha256:8464223ef92cc01bdf5260d38e2c6498d4923c23f3adf78b346344612f9626dc","target":"record","created_at":"2026-05-18T02:28:11Z","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":"b197b93b7d56f1d3cec5d56e5e9643a480b36cfac8e14e9bc95a4400e8ba29a3","cross_cats_sorted":["math.ST","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-11-24T22:13:53Z","title_canon_sha256":"4fc62b8c8a543b242f6383b91336e12e57a07999a075a557d5a7633bedc4a546"},"schema_version":"1.0","source":{"id":"1411.6669","kind":"arxiv","version":2}},"canonical_sha256":"989464b2cd25bcf5e58924241ad2733c1df96fe1fb33c3ded3b103f314cd1a9b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"989464b2cd25bcf5e58924241ad2733c1df96fe1fb33c3ded3b103f314cd1a9b","first_computed_at":"2026-05-18T02:28:11.383132Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:28:11.383132Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fItDiJJJU/rwD7xFrY6DaI5+YdgmgI00D8RiAWCiWaWyKKptbM7DiZUQFKvIdmriAVa+sZXX6E+F3zVnjB0IDg==","signature_status":"signed_v1","signed_at":"2026-05-18T02:28:11.383751Z","signed_message":"canonical_sha256_bytes"},"source_id":"1411.6669","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8464223ef92cc01bdf5260d38e2c6498d4923c23f3adf78b346344612f9626dc","sha256:77186f7ce693894ef33cef42af9829bc8eb9200ce502d3002d6143e94dbca3f4"],"state_sha256":"4019d8d9c1c5f3d3f6bb81fab30ef1423e1d0f50f3571748b60f39d70f6b1787"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nk4RAj9qY7xHNHnsuUlV2krPL4dPRAqBzB20MMJ2bZAZ7set+Zh5RhekZVdHqQns+qcCRSrVM258xNL/KAFQAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-21T10:21:11.038639Z","bundle_sha256":"ad20d293ef1ae83068580ec718dae082095dd09c1dc18572e90c156fde3c4324"}}