{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:5Z3CBZBDATR54W3KED4KPE2HJC","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":"575afdfe5299d48f38573d4fcc51050a280ec21756c2e270d1f093a5ee7bf9eb","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"stat.AP","submitted_at":"2021-06-22T11:40:00Z","title_canon_sha256":"4b00a2a3e21983c964cd2428d4e34d15be5a16af30d222c6fdc5eebac223dcea"},"schema_version":"1.0","source":{"id":"2106.11686","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.11686","created_at":"2026-07-05T02:51:31Z"},{"alias_kind":"arxiv_version","alias_value":"2106.11686v1","created_at":"2026-07-05T02:51:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.11686","created_at":"2026-07-05T02:51:31Z"},{"alias_kind":"pith_short_12","alias_value":"5Z3CBZBDATR5","created_at":"2026-07-05T02:51:31Z"},{"alias_kind":"pith_short_16","alias_value":"5Z3CBZBDATR54W3K","created_at":"2026-07-05T02:51:31Z"},{"alias_kind":"pith_short_8","alias_value":"5Z3CBZBD","created_at":"2026-07-05T02:51:31Z"}],"graph_snapshots":[{"event_id":"sha256:5add16e88b1edf64365bca32018ded71a403fecc134cc09fcdefcf4a8c3c9de0","target":"graph","created_at":"2026-07-05T02:51:31Z","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/2106.11686/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Modern Bayesian approaches and workflows emphasize in how simulation is important in the context of model developing. Simulation can help researchers understand how the model behaves in a controlled setting and can be used to stress the model in different ways before it is exposed to any real data. This improved understanding could be beneficial in epidemiological models, specially when dealing with COVID-19. Unfortunately, few researchers perform any simulations. We present a simulation algorithm that implements a simple agent-based model for disease transmission that works with a standard co","authors_text":"Alessandra Cristina Guedes Pellini, Andre Luis Marques Ferreira dos Santos, Breck Baldwin, Jose Storopoli","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"stat.AP","submitted_at":"2021-06-22T11:40:00Z","title":"Simulation-Driven COVID-19 Epidemiological Modeling with Social Media"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.11686","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":"sha256:56acb000bbe5e9997e9dcf8d77ca03739e2b8fe44e3dc7e054a099ad92934007","target":"record","created_at":"2026-07-05T02:51:31Z","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":"575afdfe5299d48f38573d4fcc51050a280ec21756c2e270d1f093a5ee7bf9eb","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"stat.AP","submitted_at":"2021-06-22T11:40:00Z","title_canon_sha256":"4b00a2a3e21983c964cd2428d4e34d15be5a16af30d222c6fdc5eebac223dcea"},"schema_version":"1.0","source":{"id":"2106.11686","kind":"arxiv","version":1}},"canonical_sha256":"ee7620e42304e3de5b6a20f8a793474894265be204d34c0d79c3b2970b476aa3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ee7620e42304e3de5b6a20f8a793474894265be204d34c0d79c3b2970b476aa3","first_computed_at":"2026-07-05T02:51:31.963775Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:51:31.963775Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Ck4P7IF5CI8NOm6b+E7ht/yD5rgn+LOng3q8NJlGRX5KAWxTrmdbVSJYlkNdzjewJTlKZQ5VemzGyDI7rSYSCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:51:31.964240Z","signed_message":"canonical_sha256_bytes"},"source_id":"2106.11686","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:56acb000bbe5e9997e9dcf8d77ca03739e2b8fe44e3dc7e054a099ad92934007","sha256:5add16e88b1edf64365bca32018ded71a403fecc134cc09fcdefcf4a8c3c9de0"],"state_sha256":"7b88b09aa1ddc740afa16666eab572cdd5f8f4346f314a16ba20e6400e53565a"}