{"as_of":"2026-08-16T02:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:138b97793bb2a5a7015ddf416c3ad177f4d0d446d85c81573c215580291c0f03","coverage":[{"denominator":35,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":35,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T22:52:18.803004Z","state":"measured"},{"denominator":35,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":35,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2501.00616/citation-record","integrity":"/paper/2501.00616/integrity","json":"/paper/2501.00616/citation-record.json","paper":"/paper/2501.00616"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:52:19.658898Z","title":"trajectory-oriented optimization","venue":null,"work_id":"7c1f2d83-de5a-41a0-a291-faca25e7a9a5","year":2006},"citing_paper":{"arxiv_id":"2501.00616","last_updated":"2024-12-31T19:30:59Z","snapshot_observed_at":"2026-08-15T22:07:57.812184Z","submitted_at":"2024-12-31T19:30:59Z","title":"Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T22:52:18.644945Z"},"links":{"citing_paper":"/paper/2501.00616"},"observation_digest":"sha256:b5df9449894b5d9659fbc42db02d1d634b8d62e966675aeff5fdcc0448d97e1a","observation_id":"f5e777d8-c1a9-46b8-90f4-b96e16e12aef","resolution":{"observed_at":"2026-08-10T22:52:19.663232Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:52:19.625384Z","title":"beta”, the relative per-contact transmission reductions in work and community layers from March 23, 2020 onwards (“bc_wc1","venue":null,"work_id":"20dc44bc-e01c-492b-89a6-be3a06f444de","year":2020},"citing_paper":{"arxiv_id":"2501.00616","last_updated":"2024-12-31T19:30:59Z","snapshot_observed_at":"2026-08-15T22:07:57.812184Z","submitted_at":"2024-12-31T19:30:59Z","title":"Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T22:52:18.656266Z"},"links":{"citing_paper":"/paper/2501.00616"},"observation_digest":"sha256:eda4ea5bb2a2ba6f4d08a3edc45148ea9ffb416abbcb61b31a7c0f4d5b236d4a","observation_id":"cb134528-5e92-4112-be47-fa1dc7791a8d","resolution":{"observed_at":"2026-08-10T22:52:19.631012Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.5281/zenodo.14574663","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:52:19.593447Z","title":null,"venue":null,"work_id":"c8480ae0-1d23-4f78-8ab9-a08ad478ece4","year":2020},"citing_paper":{"arxiv_id":"2501.00616","last_updated":"2024-12-31T19:30:59Z","snapshot_observed_at":"2026-08-15T22:07:57.812184Z","submitted_at":"2024-12-31T19:30:59Z","title":"Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T22:52:18.666359Z"},"links":{"citing_paper":"/paper/2501.00616"},"observation_digest":"sha256:cc4f3a7e23701ee33ebb4d9fc11b456dba720af621edb813882f8713f3faca30","observation_id":"bfb29491-e9b6-49f1-bdff-552f8f7fb369","resolution":{"observed_at":"2026-08-10T22:52:19.598469Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:52:19.577725Z","title":"We also observe lower variance in model outputs in later rounds","venue":null,"work_id":"cde6651b-3940-44f7-a8c9-9056daaa6a3e","year":2021},"citing_paper":{"arxiv_id":"2501.00616","last_updated":"2024-12-31T19:30:59Z","snapshot_observed_at":"2026-08-15T22:07:57.812184Z","submitted_at":"2024-12-31T19:30:59Z","title":"Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T22:52:18.671634Z"},"links":{"citing_paper":"/paper/2501.00616"},"observation_digest":"sha256:8dc72bf8c3f7dfa5e6206f2956561344831784efb4f6b0a9d33d2c1a9896bee7","observation_id":"b260bb23-080d-4a0d-984a-958f2b4b900c","resolution":{"observed_at":"2026-08-10T22:52:19.583038Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:52:19.561029Z","title":"In this case, we used new random seeds during each history matching wave and for the final 50 posterior simulations","venue":null,"work_id":"b188cf7c-32ca-4f9f-af6d-c2ebfecb6962","year":2015},"citing_paper":{"arxiv_id":"2501.00616","last_updated":"2024-12-31T19:30:59Z","snapshot_observed_at":"2026-08-15T22:07:57.812184Z","submitted_at":"2024-12-31T19:30:59Z","title":"Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T22:52:18.676853Z"},"links":{"citing_paper":"/paper/2501.00616"},"observation_digest":"sha256:9eaa66a88e3f2a475e30d5e29c5c8f45502ed05b8ae36fddc3577cdda1c5d883","observation_id":"7dafd281-8857-464c-b469-ab79522465b8","resolution":{"observed_at":"2026-08-10T22:52:19.566562Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:52:18.694045Z","title":"J UNE : Open-Source Individual-Based Epidemiology Simulation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.00616","last_updated":"2024-12-31T19:30:59Z","snapshot_observed_at":"2026-08-15T22:07:57.812184Z","submitted_at":"2024-12-31T19:30:59Z","title":"Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T22:52:18.694045Z"},"links":{"citing_paper":"/paper/2501.00616"},"observation_digest":"sha256:013962d3dc847d5f2b91006165cbf0e66da0c082018cf131c89f9d7955e28090","observation_id":"54615221-0a07-492d-9d8e-4cfb21690905","resolution":{"observed_at":"2026-08-10T22:52:18.694045Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2002.01321","last_updated":"2020-09-02T08:16:09Z","snapshot_observed_at":"2026-08-12T17:00:37.651522Z","submitted_at":"2020-02-04T14:36:24Z","title":"Analyzing Stochastic Computer Models: A Review with Opportunities","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.01321","snapshot_observed_at":"2026-08-10T22:52:18.698571Z","title":"Analyzing Stochastic Computer Models: A Review with Opportunities","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2501.00616","last_updated":"2024-12-31T19:30:59Z","snapshot_observed_at":"2026-08-15T22:07:57.812184Z","submitted_at":"2024-12-31T19:30:59Z","title":"Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T22:52:18.698571Z"},"links":{"cited_paper":"/paper/2002.01321","citing_paper":"/paper/2501.00616"},"observation_digest":"sha256:06bf2bfe697368fd67928e7602292233e0118a28ef6d14f279dafae60cbc70db","observation_id":"e7707b87-67a6-4216-b971-2ad5ba4348f9","resolution":{"observed_at":"2026-08-10T22:52:18.698571Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:52:18.703265Z","title":"A Review and Agenda for Integrated Disease Models Including Social and Behavioural Factors","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.00616","last_updated":"2024-12-31T19:30:59Z","snapshot_observed_at":"2026-08-15T22:07:57.812184Z","submitted_at":"2024-12-31T19:30:59Z","title":"Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T22:52:18.703265Z"},"links":{"citing_paper":"/paper/2501.00616"},"observation_digest":"sha256:5f02354b7fb185c6fb9ff9d8a15fb95ea16221c0f7fc323d76446fc66de66a09","observation_id":"2f2a2163-6298-4d86-8a4e-54bc68d1c104","resolution":{"observed_at":"2026-08-10T22:52:18.703265Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:52:18.716216Z","title":"Imperial College London","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.00616","last_updated":"2024-12-31T19:30:59Z","snapshot_observed_at":"2026-08-15T22:07:57.812184Z","submitted_at":"2024-12-31T19:30:59Z","title":"Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T22:52:18.716216Z"},"links":{"citing_paper":"/paper/2501.00616"},"observation_digest":"sha256:195c9c8a04394fe001778de350a241f0a3b82cd91236bf031bd0fcd167e0b0c4","observation_id":"5f4f5aeb-794a-46b8-8e0d-f9a9f93ffdcb","resolution":{"observed_at":"2026-08-10T22:52:18.716216Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/nature04795","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:52:19.030882Z","title":"Strategies for Mitigating an Influenza Pandemic","venue":null,"work_id":"68d3c41c-898d-42aa-900c-13065a98c8f7","year":null},"citing_paper":{"arxiv_id":"2501.00616","last_updated":"2024-12-31T19:30:59Z","snapshot_observed_at":"2026-08-15T22:07:57.812184Z","submitted_at":"2024-12-31T19:30:59Z","title":"Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T22:52:18.720719Z"},"links":{"citing_paper":"/paper/2501.00616"},"observation_digest":"sha256:3af2cf2d3301774d2133f11affe0ae97aac73850b4f0a1e6053e41b3b0115127","observation_id":"591bed65-2705-462f-bfdd-41a55f589adf","resolution":{"observed_at":"2026-08-10T22:52:19.035660Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1073/pnas.0601266103","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:52:19.015647Z","title":"Mitigation Strategies for Pandemic Influenza in the United States","venue":null,"work_id":"f8392777-4464-47ef-9a0a-0a123c9cd8ad","year":null},"citing_paper":{"arxiv_id":"2501.00616","last_updated":"2024-12-31T19:30:59Z","snapshot_observed_at":"2026-08-15T22:07:57.812184Z","submitted_at":"2024-12-31T19:30:59Z","title":"Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T22:52:18.725523Z"},"links":{"citing_paper":"/paper/2501.00616"},"observation_digest":"sha256:3cb88b7214bd193a733650649f1b60990016636ff8dfd50155c5a8f5d28a8c80","observation_id":"763d0cb1-2ab8-46dd-896e-7327df594cbe","resolution":{"observed_at":"2026-08-10T22:52:19.020353Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:52:18.739553Z","title":"OpenABM-Covid19—An Agent-Based Model for Non-Pharmaceutical Interventions against COVID-19 Including Contact Tracing","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.00616","last_updated":"2024-12-31T19:30:59Z","snapshot_observed_at":"2026-08-15T22:07:57.812184Z","submitted_at":"2024-12-31T19:30:59Z","title":"Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T22:52:18.739553Z"},"links":{"citing_paper":"/paper/2501.00616"},"observation_digest":"sha256:0722fa7724eb941d77ff47d8b114f2a9c9d94ac49151c0c0453e5d6075119377","observation_id":"20df7e9f-f292-4175-9478-238bfbe9a5c0","resolution":{"observed_at":"2026-08-10T22:52:18.739553Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18637/jss.v109.i10","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:52:18.960076Z","title":"Emulation and History Matching Using the Hmer Package","venue":null,"work_id":"59dd68ef-12dd-48fc-b463-3995352ea563","year":null},"citing_paper":{"arxiv_id":"2501.00616","last_updated":"2024-12-31T19:30:59Z","snapshot_observed_at":"2026-08-15T22:07:57.812184Z","submitted_at":"2024-12-31T19:30:59Z","title":"Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T22:52:18.744215Z"},"links":{"citing_paper":"/paper/2501.00616"},"observation_digest":"sha256:bf9690706270dc9a41b722875a018e48484f99fbd6976247feab1c66ddd9fbe5","observation_id":"3fd40d27-41ed-4d04-be5c-16446987d22f","resolution":{"observed_at":"2026-08-10T22:52:18.964984Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41467-021-23276-9","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:52:18.945111Z","title":"Controlling COVID-19 via Test-Trace-Quarantine","venue":null,"work_id":"6087afd8-039c-417a-a443-14efbf8e15dc","year":null},"citing_paper":{"arxiv_id":"2501.00616","last_updated":"2024-12-31T19:30:59Z","snapshot_observed_at":"2026-08-15T22:07:57.812184Z","submitted_at":"2024-12-31T19:30:59Z","title":"Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T22:52:18.748981Z"},"links":{"citing_paper":"/paper/2501.00616"},"observation_digest":"sha256:185da9c94bcb96ce15bd52e26efde991f59e603bc99fd64a7e711a13c159e89a","observation_id":"62b16184-cccb-4230-aa1a-fb4ea33a32a0","resolution":{"observed_at":"2026-08-10T22:52:18.949915Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:52:18.753725Z","title":"Covasim: An Agent-Based Model of COVID-19 Dynamics and Interventions","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.00616","last_updated":"2024-12-31T19:30:59Z","snapshot_observed_at":"2026-08-15T22:07:57.812184Z","submitted_at":"2024-12-31T19:30:59Z","title":"Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-10T22:52:18.753725Z"},"links":{"citing_paper":"/paper/2501.00616"},"observation_digest":"sha256:4f4555276a76fa23d1d7b49b58231db38d17e5598bd40bcd4fba9ec5753cbfc0","observation_id":"ea64e23c-c71a-46cd-b8c3-c73ce2f4b058","resolution":{"observed_at":"2026-08-10T22:52:18.753725Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:52:18.763543Z","title":"TRACE‐Omicron: Policy Counterfactuals to Inform Mitigation of COVID‐19 Spread in the United States","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.00616","last_updated":"2024-12-31T19:30:59Z","snapshot_observed_at":"2026-08-15T22:07:57.812184Z","submitted_at":"2024-12-31T19:30:59Z","title":"Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T22:52:18.763543Z"},"links":{"citing_paper":"/paper/2501.00616"},"observation_digest":"sha256:cd63d8298da615c02b012621df63a62a899245ac02126bb7dc8c165eb80fcb5e","observation_id":"4d5b6f05-92d9-4c9d-9c7b-91747d341b33","resolution":{"observed_at":"2026-08-10T22:52:18.763543Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:52:18.768065Z","title":"A Population Data-Driven Workflow for COVID-19 Modeling and Learning","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.00616","last_updated":"2024-12-31T19:30:59Z","snapshot_observed_at":"2026-08-15T22:07:57.812184Z","submitted_at":"2024-12-31T19:30:59Z","title":"Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T22:52:18.768065Z"},"links":{"citing_paper":"/paper/2501.00616"},"observation_digest":"sha256:75cbc31b2a1784cb55b93aa7b1bfa5e492cf4f2a34723d476fa6d6f6181c3f54","observation_id":"8ef40836-fd3d-414e-b0fd-bc540ab76418","resolution":{"observed_at":"2026-08-10T22:52:18.768065Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.21203/rs.3.rs-2773605/v1","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:52:18.887406Z","title":"preprint","venue":null,"work_id":"799cd63b-58fb-42d6-b9b7-6295629c94b6","year":null},"citing_paper":{"arxiv_id":"2501.00616","last_updated":"2024-12-31T19:30:59Z","snapshot_observed_at":"2026-08-15T22:07:57.812184Z","submitted_at":"2024-12-31T19:30:59Z","title":"Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-10T22:52:18.772966Z"},"links":{"citing_paper":"/paper/2501.00616"},"observation_digest":"sha256:a8ceccdc3f441884f0bd57860832d0b0e6e3155e9780a4aa63c1613b59352b42","observation_id":"ef4498a9-9271-4b26-ab76-fb3105361302","resolution":{"observed_at":"2026-08-10T22:52:18.891733Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1305.1994","last_updated":"2013-05-09T02:51:22Z","snapshot_observed_at":"2026-08-15T00:18:26.824904Z","submitted_at":"2013-05-09T02:51:22Z","title":"Nearly Cloaking the Full Maxwell Equations: Cloaking Active Contents with General Conducting Layers","version":1},"cited_work":{"arxiv_id":"1305.1994","doi":null,"metadata_source":"pith","pith_arxiv_id":"1305.1994","snapshot_observed_at":"2026-08-10T22:52:19.444594Z","title":"Nearly Cloaking the Full Maxwell Equations: Cloaking Active Contents with General Conducting Layers","venue":"math.AP","work_id":"b57ae709-9f2d-4370-a7dd-3b93047faa00","year":2013},"citing_paper":{"arxiv_id":"2501.00616","last_updated":"2024-12-31T19:30:59Z","snapshot_observed_at":"2026-08-15T22:07:57.812184Z","submitted_at":"2024-12-31T19:30:59Z","title":"Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-10T22:52:18.777500Z"},"links":{"cited_paper":"/paper/1305.1994","citing_paper":"/paper/2501.00616"},"observation_digest":"sha256:7527c763242a0c62e1ec3c7fef1d867e73366d3933de4befe23e1738b041c7d4","observation_id":"e3981742-bc86-411e-a0de-fafcc166771d","resolution":{"observed_at":"2026-08-10T22:52:19.449819Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41467-021-27486-z","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:52:18.872892Z","title":"Emulator-Based Bayesian Optimization for Efficient Multi-Objective Calibration of an Individual-Based Model of Malaria","venue":null,"work_id":"99ba970b-4527-4649-b6fd-319fdd04334e","year":null},"citing_paper":{"arxiv_id":"2501.00616","last_updated":"2024-12-31T19:30:59Z","snapshot_observed_at":"2026-08-15T22:07:57.812184Z","submitted_at":"2024-12-31T19:30:59Z","title":"Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-10T22:52:18.782873Z"},"links":{"citing_paper":"/paper/2501.00616"},"observation_digest":"sha256:3585303c975f6b5306b305719efa312e2fac42cce59748fc70e7b39cbbdc989e","observation_id":"aacacaee-8b0f-47f3-be71-e2b89d2f7d8e","resolution":{"observed_at":"2026-08-10T22:52:18.877536Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2022.0039","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:52:19.242319Z","title":"Bayesian Emulation and History Matching of JUNE","venue":null,"work_id":"c96b7b0f-1768-4422-8ac3-47c8028ca8ca","year":2022},"citing_paper":{"arxiv_id":"2501.00616","last_updated":"2024-12-31T19:30:59Z","snapshot_observed_at":"2026-08-15T22:07:57.812184Z","submitted_at":"2024-12-31T19:30:59Z","title":"Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-10T22:52:18.794996Z"},"links":{"citing_paper":"/paper/2501.00616"},"observation_digest":"sha256:37a1b9ecb70c2f1791a5747dec6b4f1540fb88aff2fcc12e959021361b63d4d1","observation_id":"5e1e90e8-5958-42bf-bca4-88c03eb1aabb","resolution":{"observed_at":"2026-08-10T22:52:19.249546Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1186/s12918-017-0484-3","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:52:18.834338Z","title":"Bayesian Uncertainty Analysis for Complex Systems Biology Models: Emulation, Global Parameter Searches and Evaluation of Gene Functions","venue":null,"work_id":"620e2811-64d5-4caa-b302-4700c8c1c6b9","year":null},"citing_paper":{"arxiv_id":"2501.00616","last_updated":"2024-12-31T19:30:59Z","snapshot_observed_at":"2026-08-15T22:07:57.812184Z","submitted_at":"2024-12-31T19:30:59Z","title":"Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-10T22:52:18.803004Z"},"links":{"citing_paper":"/paper/2501.00616"},"observation_digest":"sha256:d0a4ea81ead5d002667b280e7e7959ee4195c9c1bb5c04d058b5778a9b7fc452","observation_id":"7a9da6f1-d9b2-482c-ae31-c0988e4eaa3a","resolution":{"observed_at":"2026-08-10T22:52:18.841325Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:52:19.609581Z","title":"2015; Iskauskas, Vernon, et al","venue":null,"work_id":"4268a487-f4dd-4e4e-8009-3edf2e5e274f","year":2015},"citing_paper":{"arxiv_id":"2501.00616","last_updated":"2024-12-31T19:30:59Z","snapshot_observed_at":"2026-08-15T22:07:57.812184Z","submitted_at":"2024-12-31T19:30:59Z","title":"Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study","version":1},"reference_index":1994,"source":"pdf_text","source_observed_at":"2026-08-10T22:52:18.661376Z"},"links":{"citing_paper":"/paper/2501.00616"},"observation_digest":"sha256:81a195ebe681853081068f2ae9d6b40f733a0b27364e1fb2186632c3d02e8b24","observation_id":"360fe3a3-9330-4f27-8267-e239c940b0b7","resolution":{"observed_at":"2026-08-10T22:52:19.614561Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1126/science.1115717","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:52:18.921217Z","title":"Containing Pandemic Influenza at the Source","venue":null,"work_id":"08442cb1-34c0-43c3-8f87-b42ae1ac95f3","year":null},"citing_paper":{"arxiv_id":"2501.00616","last_updated":"2024-12-31T19:30:59Z","snapshot_observed_at":"2026-08-15T22:07:57.812184Z","submitted_at":"2024-12-31T19:30:59Z","title":"Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study","version":1},"reference_index":2005,"source":"pdf_text","source_observed_at":"2026-08-10T22:52:18.758868Z"},"links":{"citing_paper":"/paper/2501.00616"},"observation_digest":"sha256:5bf313fd23fb48eab65c1385a1e4bbde51b7e8818bef5ca1a715434373b03905","observation_id":"3baae41c-7afd-44c7-9eda-de03d9d612cb","resolution":{"observed_at":"2026-08-10T22:52:18.925811Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1197/j.aem.2006.07.017","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:52:19.055329Z","title":"Individual-Based Computational Modeling of Smallpox Epidemic Control Strategies","venue":null,"work_id":"939b301d-6c0f-4bcc-b3e3-ea4e8b66778e","year":2006},"citing_paper":{"arxiv_id":"2501.00616","last_updated":"2024-12-31T19:30:59Z","snapshot_observed_at":"2026-08-15T22:07:57.812184Z","submitted_at":"2024-12-31T19:30:59Z","title":"Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study","version":1},"reference_index":2006,"source":"pdf_text","source_observed_at":"2026-08-10T22:52:18.711942Z"},"links":{"citing_paper":"/paper/2501.00616"},"observation_digest":"sha256:2b2c4a2394a9ec3e6be052dc32bbccbbdff7ac07186245827f0d777e99a89f16","observation_id":"9fc24f5e-389e-4e29-9653-f386b580e99e","resolution":{"observed_at":"2026-08-10T22:52:19.060317Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:52:18.791073Z","title":"Sequential Monte Carlo without Likelihoods","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.00616","last_updated":"2024-12-31T19:30:59Z","snapshot_observed_at":"2026-08-15T22:07:57.812184Z","submitted_at":"2024-12-31T19:30:59Z","title":"Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study","version":1},"reference_index":2007,"source":"pdf_text","source_observed_at":"2026-08-10T22:52:18.791073Z"},"links":{"citing_paper":"/paper/2501.00616"},"observation_digest":"sha256:c1de0313b79237dd37987ee6bfa8ba5ecb049e862da59024b61a4ad55f5b83c7","observation_id":"eed5922a-25ec-4656-825c-4eb6a0a6cc1d","resolution":{"observed_at":"2026-08-10T22:52:18.791073Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1073/pnas.0706849105","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:52:19.000676Z","title":"Modeling Targeted Layered Containment of an Influenza Pandemic in the United States","venue":null,"work_id":"295cca05-3234-450b-9146-96474c10ace5","year":null},"citing_paper":{"arxiv_id":"2501.00616","last_updated":"2024-12-31T19:30:59Z","snapshot_observed_at":"2026-08-15T22:07:57.812184Z","submitted_at":"2024-12-31T19:30:59Z","title":"Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study","version":1},"reference_index":2008,"source":"pdf_text","source_observed_at":"2026-08-10T22:52:18.730250Z"},"links":{"citing_paper":"/paper/2501.00616"},"observation_digest":"sha256:3a5b3918241d56660e30d60ab64575e2a23c6b44e2afcb7f6d8d28fdb4fceb2c","observation_id":"6664ccf3-e2c1-4ed5-af0e-fe7d8286c9c6","resolution":{"observed_at":"2026-08-10T22:52:19.005448Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:52:18.798808Z","title":"Galaxy Formation: A Bayesian Uncertainty Analysis","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.00616","last_updated":"2024-12-31T19:30:59Z","snapshot_observed_at":"2026-08-15T22:07:57.812184Z","submitted_at":"2024-12-31T19:30:59Z","title":"Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study","version":1},"reference_index":2010,"source":"pdf_text","source_observed_at":"2026-08-10T22:52:18.798808Z"},"links":{"citing_paper":"/paper/2501.00616"},"observation_digest":"sha256:0c8018da4072755d66e67d7cf982da1d26fd3c1c8d84c173245358aa27cd9d4b","observation_id":"f102d393-7d9c-4805-8ec0-3162ddd5939b","resolution":{"observed_at":"2026-08-10T22:52:18.798808Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1371/journal.pcbi.1003968","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:52:19.105928Z","title":"Bayesian History Matching of Complex Infectious Disease Models Using Emulation: A Tutorial and a Case Study on HIV in Uganda","venue":null,"work_id":"c9b6e8d9-e473-4106-99a7-5196103159ae","year":null},"citing_paper":{"arxiv_id":"2501.00616","last_updated":"2024-12-31T19:30:59Z","snapshot_observed_at":"2026-08-15T22:07:57.812184Z","submitted_at":"2024-12-31T19:30:59Z","title":"Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study","version":1},"reference_index":2015,"source":"pdf_text","source_observed_at":"2026-08-10T22:52:18.689863Z"},"links":{"citing_paper":"/paper/2501.00616"},"observation_digest":"sha256:8748345ac0d999e7ef966d815bbfc0353252727f77ff9eab4c4ae98b63752ad4","observation_id":"2adb7e81-68a8-49de-ba64-6a5a4930948e","resolution":{"observed_at":"2026-08-10T22:52:19.110996Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:52:18.707715Z","title":"Practical Heteroscedastic Gaussian Process Modeling for Large Simulation Experiments","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2501.00616","last_updated":"2024-12-31T19:30:59Z","snapshot_observed_at":"2026-08-15T22:07:57.812184Z","submitted_at":"2024-12-31T19:30:59Z","title":"Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-10T22:52:18.707715Z"},"links":{"citing_paper":"/paper/2501.00616"},"observation_digest":"sha256:008340cf77b9ba2b726a4e6ed9653977a55f04d612347203c07f3823a523f12c","observation_id":"5ac2c1ef-9d76-4355-ae2b-c1dc35419014","resolution":{"observed_at":"2026-08-10T22:52:18.707715Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:52:19.542855Z","title":"status quo","venue":null,"work_id":"e705cac2-00a3-4636-8a69-866c6d0558ef","year":2020},"citing_paper":{"arxiv_id":"2501.00616","last_updated":"2024-12-31T19:30:59Z","snapshot_observed_at":"2026-08-15T22:07:57.812184Z","submitted_at":"2024-12-31T19:30:59Z","title":"Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-10T22:52:18.681216Z"},"links":{"citing_paper":"/paper/2501.00616"},"observation_digest":"sha256:42a81a361097989c7632842815f9a476af8b02bb95c14bef27a300c412533dde","observation_id":"2a736673-1a68-4ff2-bdc9-873b5903468b","resolution":{"observed_at":"2026-08-10T22:52:19.547879Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:52:19.643010Z","title":"al 2021 and the methods paper (Kerr, Stuart, et al","venue":null,"work_id":"0f186763-39f9-4b96-83bd-fbdd075856ab","year":2021},"citing_paper":{"arxiv_id":"2501.00616","last_updated":"2024-12-31T19:30:59Z","snapshot_observed_at":"2026-08-15T22:07:57.812184Z","submitted_at":"2024-12-31T19:30:59Z","title":"Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-10T22:52:18.651465Z"},"links":{"citing_paper":"/paper/2501.00616"},"observation_digest":"sha256:9efdeb5a119e97587c7f3b5df8f50a84ea91a9219435875098a949a37e7fa3cd","observation_id":"ab414d3f-6182-4ded-b361-01d070dca8f9","resolution":{"observed_at":"2026-08-10T22:52:19.648272Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:52:18.787081Z","title":"Impact of Vaccination and Non-Pharmaceutical Interventions on SARS-CoV-2 Dynamics in Switzerland","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.00616","last_updated":"2024-12-31T19:30:59Z","snapshot_observed_at":"2026-08-15T22:07:57.812184Z","submitted_at":"2024-12-31T19:30:59Z","title":"Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-10T22:52:18.787081Z"},"links":{"citing_paper":"/paper/2501.00616"},"observation_digest":"sha256:21cda8b7720cfd1a9c5905e93174dd1134cdf61b7bb2e08f007a6a4d88cdf20f","observation_id":"96a2d18d-ff1a-4c4e-a5e6-48a921664894","resolution":{"observed_at":"2026-08-10T22:52:18.787081Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:52:18.685595Z","title":"PyMC: A Modern, and Comprehensive Probabilistic Programming Framework in Python","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.00616","last_updated":"2024-12-31T19:30:59Z","snapshot_observed_at":"2026-08-15T22:07:57.812184Z","submitted_at":"2024-12-31T19:30:59Z","title":"Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-10T22:52:18.685595Z"},"links":{"citing_paper":"/paper/2501.00616"},"observation_digest":"sha256:e16d0b6fb15052855f0b6f0e6903225066fbeab63ff50891a873a93954fa85de","observation_id":"37cd0847-e508-4bb2-9a15-8db6586d4223","resolution":{"observed_at":"2026-08-10T22:52:18.685595Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1073/pnas.2314993121","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:52:18.985230Z","title":"Making Evidence Go Further: Advancing Synergy between Agent-Based Modeling and Randomized Control Trials","venue":null,"work_id":"558e6c6c-ba7f-4553-8c5b-d8991f97bbdc","year":null},"citing_paper":{"arxiv_id":"2501.00616","last_updated":"2024-12-31T19:30:59Z","snapshot_observed_at":"2026-08-15T22:07:57.812184Z","submitted_at":"2024-12-31T19:30:59Z","title":"Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-10T22:52:18.734941Z"},"links":{"citing_paper":"/paper/2501.00616"},"observation_digest":"sha256:b32f37b7f919a341f4165af15c5c8cc5b8791ccb1b286daf5c14c7ef8c187a0b","observation_id":"16de3c92-d98e-4434-ac98-29737bc7a1cb","resolution":{"observed_at":"2026-08-10T22:52:18.990174Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.00616","last_updated":"2024-12-31T19:30:59Z","latest_version":1,"primary_category":"stat.AP","snapshot_observed_at":"2026-08-15T22:07:57.812184Z","submitted_at":"2024-12-31T19:30:59Z","title":"Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study"},"reference_resolution":{"displayed":35,"state_counts":{"malformed_identifier":1,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":12,"verified_exact":14,"verified_fuzzy":7},"total_outbound_references":35},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2501.00616."}