{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:E5LBE44TNXJ4AQZ3GRATOYR3NZ","short_pith_number":"pith:E5LBE44T","canonical_record":{"source":{"id":"1808.08490","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-th","submitted_at":"2018-08-26T00:35:33Z","cross_cats_sorted":["cond-mat.stat-mech","hep-lat"],"title_canon_sha256":"0c22641be3e4d726938c7263e9ab364530f22f8541584636750f9cadd122b88b","abstract_canon_sha256":"9107a8a076996c6ff96e5ffaf075150c2f9d4c2b3cbed90811a4f73c6d2d7246"},"schema_version":"1.0"},"canonical_sha256":"27561273936dd3c0433b344137623b6e7d57a43ebdc0ba359cbf3a61a4cc05d0","source":{"kind":"arxiv","id":"1808.08490","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1808.08490","created_at":"2026-05-18T00:05:09Z"},{"alias_kind":"arxiv_version","alias_value":"1808.08490v2","created_at":"2026-05-18T00:05:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.08490","created_at":"2026-05-18T00:05:09Z"},{"alias_kind":"pith_short_12","alias_value":"E5LBE44TNXJ4","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_16","alias_value":"E5LBE44TNXJ4AQZ3","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_8","alias_value":"E5LBE44T","created_at":"2026-05-18T12:32:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:E5LBE44TNXJ4AQZ3GRATOYR3NZ","target":"record","payload":{"canonical_record":{"source":{"id":"1808.08490","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-th","submitted_at":"2018-08-26T00:35:33Z","cross_cats_sorted":["cond-mat.stat-mech","hep-lat"],"title_canon_sha256":"0c22641be3e4d726938c7263e9ab364530f22f8541584636750f9cadd122b88b","abstract_canon_sha256":"9107a8a076996c6ff96e5ffaf075150c2f9d4c2b3cbed90811a4f73c6d2d7246"},"schema_version":"1.0"},"canonical_sha256":"27561273936dd3c0433b344137623b6e7d57a43ebdc0ba359cbf3a61a4cc05d0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:05:09.071164Z","signature_b64":"xCKSUIrj1fjOwc/tZZkHFDy7kqGnbrDXqy7wSHruAJYwr56/PmEJjt1QItXDnLXhhfu+ISg1Aq8JkAPK4Fs9Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"27561273936dd3c0433b344137623b6e7d57a43ebdc0ba359cbf3a61a4cc05d0","last_reissued_at":"2026-05-18T00:05:09.070654Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:05:09.070654Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1808.08490","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":"2026-05-18T00:05:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GESDTOon0PM9O/7Zs+KuZt55PsGK7SlzBc7MWpZ+Q7cUYASyELEBcRNbEzgZULi2wWHkbCOMx87JL/wDamgqAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T16:38:41.325671Z"},"content_sha256":"231226e978e3c86e98829e377a92e9ab9f85d8a4be83e185450a0e0ddf845556","schema_version":"1.0","event_id":"sha256:231226e978e3c86e98829e377a92e9ab9f85d8a4be83e185450a0e0ddf845556"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:E5LBE44TNXJ4AQZ3GRATOYR3NZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Markov Chain Monte Carlo for Dummies","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.stat-mech","hep-lat"],"primary_cat":"hep-th","authors_text":"Masanori Hanada","submitted_at":"2018-08-26T00:35:33Z","abstract_excerpt":"This is an introductory article about Markov Chain Monte Carlo (MCMC) simulation for pedestrians. Actual simulation codes are provided, and necessary practical details, which are skipped in most textbooks, are shown. The second half is written for hep-th and hep-lat audience. It explains specific methods needed for simulations with dynamical fermions, especially supersymmetric Yang-Mills. The examples include QCD and matrix integral, in addition to SYM."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.08490","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":"2026-05-18T00:05:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"C0y6RTWEoA1m+RWKqSd74pItU50EjONg6y5KVoTopViwmr/ypxdP//9NtJGplXSe8r2UDRIxey6uQ7GBnttxCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T16:38:41.326389Z"},"content_sha256":"9bbdcb8079507d08c5e86b0e1b15766200af4199ee16bcc01d9ef519fc87436a","schema_version":"1.0","event_id":"sha256:9bbdcb8079507d08c5e86b0e1b15766200af4199ee16bcc01d9ef519fc87436a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/E5LBE44TNXJ4AQZ3GRATOYR3NZ/bundle.json","state_url":"https://pith.science/pith/E5LBE44TNXJ4AQZ3GRATOYR3NZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/E5LBE44TNXJ4AQZ3GRATOYR3NZ/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":"2026-05-27T16:38:41Z","links":{"resolver":"https://pith.science/pith/E5LBE44TNXJ4AQZ3GRATOYR3NZ","bundle":"https://pith.science/pith/E5LBE44TNXJ4AQZ3GRATOYR3NZ/bundle.json","state":"https://pith.science/pith/E5LBE44TNXJ4AQZ3GRATOYR3NZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/E5LBE44TNXJ4AQZ3GRATOYR3NZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:E5LBE44TNXJ4AQZ3GRATOYR3NZ","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":"9107a8a076996c6ff96e5ffaf075150c2f9d4c2b3cbed90811a4f73c6d2d7246","cross_cats_sorted":["cond-mat.stat-mech","hep-lat"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-th","submitted_at":"2018-08-26T00:35:33Z","title_canon_sha256":"0c22641be3e4d726938c7263e9ab364530f22f8541584636750f9cadd122b88b"},"schema_version":"1.0","source":{"id":"1808.08490","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1808.08490","created_at":"2026-05-18T00:05:09Z"},{"alias_kind":"arxiv_version","alias_value":"1808.08490v2","created_at":"2026-05-18T00:05:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.08490","created_at":"2026-05-18T00:05:09Z"},{"alias_kind":"pith_short_12","alias_value":"E5LBE44TNXJ4","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_16","alias_value":"E5LBE44TNXJ4AQZ3","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_8","alias_value":"E5LBE44T","created_at":"2026-05-18T12:32:19Z"}],"graph_snapshots":[{"event_id":"sha256:9bbdcb8079507d08c5e86b0e1b15766200af4199ee16bcc01d9ef519fc87436a","target":"graph","created_at":"2026-05-18T00:05:09Z","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":"This is an introductory article about Markov Chain Monte Carlo (MCMC) simulation for pedestrians. Actual simulation codes are provided, and necessary practical details, which are skipped in most textbooks, are shown. The second half is written for hep-th and hep-lat audience. It explains specific methods needed for simulations with dynamical fermions, especially supersymmetric Yang-Mills. The examples include QCD and matrix integral, in addition to SYM.","authors_text":"Masanori Hanada","cross_cats":["cond-mat.stat-mech","hep-lat"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-th","submitted_at":"2018-08-26T00:35:33Z","title":"Markov Chain Monte Carlo for Dummies"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.08490","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":"sha256:231226e978e3c86e98829e377a92e9ab9f85d8a4be83e185450a0e0ddf845556","target":"record","created_at":"2026-05-18T00:05:09Z","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":"9107a8a076996c6ff96e5ffaf075150c2f9d4c2b3cbed90811a4f73c6d2d7246","cross_cats_sorted":["cond-mat.stat-mech","hep-lat"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-th","submitted_at":"2018-08-26T00:35:33Z","title_canon_sha256":"0c22641be3e4d726938c7263e9ab364530f22f8541584636750f9cadd122b88b"},"schema_version":"1.0","source":{"id":"1808.08490","kind":"arxiv","version":2}},"canonical_sha256":"27561273936dd3c0433b344137623b6e7d57a43ebdc0ba359cbf3a61a4cc05d0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"27561273936dd3c0433b344137623b6e7d57a43ebdc0ba359cbf3a61a4cc05d0","first_computed_at":"2026-05-18T00:05:09.070654Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:05:09.070654Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xCKSUIrj1fjOwc/tZZkHFDy7kqGnbrDXqy7wSHruAJYwr56/PmEJjt1QItXDnLXhhfu+ISg1Aq8JkAPK4Fs9Cw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:05:09.071164Z","signed_message":"canonical_sha256_bytes"},"source_id":"1808.08490","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:231226e978e3c86e98829e377a92e9ab9f85d8a4be83e185450a0e0ddf845556","sha256:9bbdcb8079507d08c5e86b0e1b15766200af4199ee16bcc01d9ef519fc87436a"],"state_sha256":"1974b4e85bbd34045ed4541e23c8b6e3d951ff1817a42217080490ab43979ed1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"R6Iq2YOyTyNNenE5t+11SDk38bY+yg7Fp8rN3VTCDoIqlrPCgHmOmyklSWG+P6VgCCDqaPoLQJIlx+WqwXW1AA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T16:38:41.340587Z","bundle_sha256":"2826c06ef7cc66cbb5266431afc1f6ce52f96d86e6429f9f58e78d7ee00fc8e9"}}