{"as_of":"2026-08-08T17:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3ac05f222b600f40c14ed5785b51f3f9b2c2de8abb59b2703fdcf58d94dfc6d8","coverage":[{"denominator":38,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":38,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T10:44:51.317783Z","state":"measured"},{"denominator":39,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":39,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T16:12:50.541604Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-05T16:12:51.018611Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.04538","last_updated":"2025-06-05T01:09:02Z","snapshot_observed_at":"2026-08-07T10:37:25.139794Z","submitted_at":"2025-06-05T01:09:02Z","title":"Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction","version":1},"cited_work":{"arxiv_id":"2506.04538","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.04538","snapshot_observed_at":"2026-08-05T16:12:51.018611Z","title":"Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction","venue":"q-bio.TO","work_id":"91a0538e-c3ae-42b4-a76e-1c5fcd90d44a","year":2025},"citing_paper":{"arxiv_id":"2508.18853","last_updated":"2025-08-26T09:34:05Z","snapshot_observed_at":"2026-08-05T16:12:35.767684Z","submitted_at":"2025-08-26T09:34:05Z","title":"Think before you fit: parameter identifiability, sensitivity and uncertainty in systems biology models","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-05T16:12:50.541604Z"},"links":{"cited_paper":"/paper/2506.04538","citing_paper":"/paper/2508.18853"},"observation_digest":"sha256:4ec3e5dccbc92820b88db897d725f6036706ab55f4730acbb06275828eeb7d89","observation_id":"9321a119-0e93-4347-8dec-8c44702b170d","resolution":{"observed_at":"2026-08-05T16:12:51.025346Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.04538/citation-record","integrity":"/paper/2506.04538/integrity","json":"/paper/2506.04538/citation-record.json","paper":"/paper/2506.04538"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:44:55.163268Z","title":"Challenges and opportunities in uncertainty quantification for healthcare and biological systems","venue":null,"work_id":"24639928-d51b-42ac-ac5f-7e73232e973b","year":2025},"citing_paper":{"arxiv_id":"2506.04538","last_updated":"2025-06-05T01:09:02Z","snapshot_observed_at":"2026-08-07T10:37:25.139794Z","submitted_at":"2025-06-05T01:09:02Z","title":"Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T10:44:48.296910Z"},"links":{"citing_paper":"/paper/2506.04538"},"observation_digest":"sha256:45f9a477cfb823982ed626e95ae22a2ccac7bc3ed4966814860546934d5ca8c6","observation_id":"f29de248-65df-4458-9c44-20e2470aabbb","resolution":{"observed_at":"2026-08-07T10:44:55.167421Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:44:55.150923Z","title":"Guidelines for mechanistic modeling and analysis in cardiovascular research","venue":null,"work_id":"be55be79-d2de-4e77-ab23-7600c138c103","year":2024},"citing_paper":{"arxiv_id":"2506.04538","last_updated":"2025-06-05T01:09:02Z","snapshot_observed_at":"2026-08-07T10:37:25.139794Z","submitted_at":"2025-06-05T01:09:02Z","title":"Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T10:44:48.407884Z"},"links":{"citing_paper":"/paper/2506.04538"},"observation_digest":"sha256:9a250ff0379ca94bc229b478f63c0b1a18c39a0863e54d47b3ca89df1084b22d","observation_id":"b44b8f11-5019-4bce-b2ec-7a5079122910","resolution":{"observed_at":"2026-08-07T10:44:55.154567Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:44:55.139003Z","title":"Foundational Research Gaps and Future Directions for Digital Twins","venue":null,"work_id":"f2484309-3aec-414d-b907-13982de40486","year":2024},"citing_paper":{"arxiv_id":"2506.04538","last_updated":"2025-06-05T01:09:02Z","snapshot_observed_at":"2026-08-07T10:37:25.139794Z","submitted_at":"2025-06-05T01:09:02Z","title":"Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T10:44:48.529046Z"},"links":{"citing_paper":"/paper/2506.04538"},"observation_digest":"sha256:bc8e59f9607814b1dfb185825bbe78e1900d8104e284bc4ce8c71ecda8a78246","observation_id":"8d53b7d8-f426-4f4f-8ad1-2ea54bb2927a","resolution":{"observed_at":"2026-08-07T10:44:55.142496Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:44:55.126781Z","title":"A guide to uncertainty quantification and sensitivity analysis for cardiovascular applications","venue":null,"work_id":"438f5707-7396-4936-ae48-237582b142e7","year":2016},"citing_paper":{"arxiv_id":"2506.04538","last_updated":"2025-06-05T01:09:02Z","snapshot_observed_at":"2026-08-07T10:37:25.139794Z","submitted_at":"2025-06-05T01:09:02Z","title":"Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T10:44:48.647121Z"},"links":{"citing_paper":"/paper/2506.04538"},"observation_digest":"sha256:79373ee310d2a5ae4caa1d901fae324dbbc00a69f5b4e55a2bafaad400e3dc43","observation_id":"5d170bae-e1f0-4c0c-8be6-2d4fea403d92","resolution":{"observed_at":"2026-08-07T10:44:55.130679Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:44:55.115425Z","title":"Uncertainty quantification: theory, implementation, and applications","venue":null,"work_id":"21aba7fe-aa9c-45ad-9d2b-dc7c5eae42cc","year":2024},"citing_paper":{"arxiv_id":"2506.04538","last_updated":"2025-06-05T01:09:02Z","snapshot_observed_at":"2026-08-07T10:37:25.139794Z","submitted_at":"2025-06-05T01:09:02Z","title":"Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T10:44:48.738062Z"},"links":{"citing_paper":"/paper/2506.04538"},"observation_digest":"sha256:051778bc39f6344b4849eda91ce17d566d143e4b1146d3f063ea82c1ffb8b3de","observation_id":"cc9fcc5f-e94c-4a2d-928b-77068010b7e2","resolution":{"observed_at":"2026-08-07T10:44:55.119040Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:44:55.103682Z","title":"Sensitivity analysis: A review of recent advances","venue":null,"work_id":"b2d074ad-66f8-41d6-9f6d-d69dd97b3da2","year":2016},"citing_paper":{"arxiv_id":"2506.04538","last_updated":"2025-06-05T01:09:02Z","snapshot_observed_at":"2026-08-07T10:37:25.139794Z","submitted_at":"2025-06-05T01:09:02Z","title":"Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T10:44:48.828965Z"},"links":{"citing_paper":"/paper/2506.04538"},"observation_digest":"sha256:a506232b4e66bb04136764f95695be7488c89dfea27a5bc28e02ffd6ca3a4089","observation_id":"f5795a2c-a2ca-4c9b-a6b1-138a30d7f81b","resolution":{"observed_at":"2026-08-07T10:44:55.107388Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:44:55.091577Z","title":"Variance-based sensitivity analysis for time-dependent processes","venue":null,"work_id":"e4e8d28c-15a4-4b28-9c08-2a11abb92af3","year":2020},"citing_paper":{"arxiv_id":"2506.04538","last_updated":"2025-06-05T01:09:02Z","snapshot_observed_at":"2026-08-07T10:37:25.139794Z","submitted_at":"2025-06-05T01:09:02Z","title":"Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T10:44:48.896269Z"},"links":{"citing_paper":"/paper/2506.04538"},"observation_digest":"sha256:57e6dfccc63116ea5a0d56249a9000e9b9572869015dfceae5b86bdf341ac072","observation_id":"531806e7-e4d5-4a1c-bf56-4890011c431c","resolution":{"observed_at":"2026-08-07T10:44:55.095377Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:44:48.973665Z","title":"Principal component analysis and sparse polynomial chaos expansions for global sensitivity analysis and model calibration: Application to urban drainage simulation","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.04538","last_updated":"2025-06-05T01:09:02Z","snapshot_observed_at":"2026-08-07T10:37:25.139794Z","submitted_at":"2025-06-05T01:09:02Z","title":"Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T10:44:48.973665Z"},"links":{"citing_paper":"/paper/2506.04538"},"observation_digest":"sha256:03f9297d8eec1f539393094ca9ded636a33058a4eddd92c3a664694a66668e29","observation_id":"227f5358-147d-442c-a8cc-ea02b235ad68","resolution":{"observed_at":"2026-08-07T10:44:48.973665Z","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":"2026-08-07T10:44:55.078436Z","title":"Effects of arterial wall models and measurement uncertainties on cardiovascular model predictions","venue":null,"work_id":"ead201bd-95ba-40a9-8fb2-d828213e8e63","year":2017},"citing_paper":{"arxiv_id":"2506.04538","last_updated":"2025-06-05T01:09:02Z","snapshot_observed_at":"2026-08-07T10:37:25.139794Z","submitted_at":"2025-06-05T01:09:02Z","title":"Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T10:44:49.075672Z"},"links":{"citing_paper":"/paper/2506.04538"},"observation_digest":"sha256:642de85d78d6523687440f42b0b9399c4af2bfd52c729c783f9f46cad20da62e","observation_id":"ed4340c7-0e0d-49f9-b0ec-20fc0d25d4c8","resolution":{"observed_at":"2026-08-07T10:44:55.082659Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:44:55.065738Z","title":"Applicability of the polynomial chaos expansion method for personalization of a cardiovascular pulse wave propagation model","venue":null,"work_id":"a2053149-4933-4b06-954b-b41d8c45ef81","year":2014},"citing_paper":{"arxiv_id":"2506.04538","last_updated":"2025-06-05T01:09:02Z","snapshot_observed_at":"2026-08-07T10:37:25.139794Z","submitted_at":"2025-06-05T01:09:02Z","title":"Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T10:44:49.184176Z"},"links":{"citing_paper":"/paper/2506.04538"},"observation_digest":"sha256:0b23e4018118402da65f3befc9266dcb45cb685d7c78672e00cb83bbd61dae25","observation_id":"c5de9da4-346b-45a4-86e4-924c933109a9","resolution":{"observed_at":"2026-08-07T10:44:55.069582Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:44:49.292216Z","title":"Efficient uncertainty quantification in a spatially multiscale model of pulmonary arterial and venous hemodynamics","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.04538","last_updated":"2025-06-05T01:09:02Z","snapshot_observed_at":"2026-08-07T10:37:25.139794Z","submitted_at":"2025-06-05T01:09:02Z","title":"Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T10:44:49.292216Z"},"links":{"citing_paper":"/paper/2506.04538"},"observation_digest":"sha256:6564a80448a09a1e1c9d3a177c5b1ce27bbbd133cc10f6892a0df5a9037f5515","observation_id":"9f131f39-88c9-4660-8ea4-8d42495cae5d","resolution":{"observed_at":"2026-08-07T10:44:49.292216Z","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":"2026-08-07T10:44:49.355137Z","title":"On structural and practical identifiability","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.04538","last_updated":"2025-06-05T01:09:02Z","snapshot_observed_at":"2026-08-07T10:37:25.139794Z","submitted_at":"2025-06-05T01:09:02Z","title":"Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T10:44:49.355137Z"},"links":{"citing_paper":"/paper/2506.04538"},"observation_digest":"sha256:5d1d01903a1d40ce43ed6404208cff84e8dfd6bbc06a99d0ebc43ef869894535","observation_id":"6be4dde2-1acb-479f-abe3-e0d2c705bf5f","resolution":{"observed_at":"2026-08-07T10:44:49.355137Z","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.1010017","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:44:51.951158Z","title":"An in-silico analysis of experimental designs to study ventricular function: A focus on the right ventricle","venue":null,"work_id":"d0c5ebf4-71c6-453f-b8f5-247a023be1bf","year":2022},"citing_paper":{"arxiv_id":"2506.04538","last_updated":"2025-06-05T01:09:02Z","snapshot_observed_at":"2026-08-07T10:37:25.139794Z","submitted_at":"2025-06-05T01:09:02Z","title":"Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T10:44:49.460123Z"},"links":{"citing_paper":"/paper/2506.04538"},"observation_digest":"sha256:2a0e8048494a577420f64d82298d3b26f297dbe878d8ba9a111b69f813658c54","observation_id":"396bd14b-11bb-4f87-872e-d7160df89e58","resolution":{"observed_at":"2026-08-07T10:44:52.012259Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:44:55.053362Z","title":"Structural identifiability analysis of age-structured PDE epidemic models","venue":null,"work_id":"83ed9fe6-a312-4a8b-ba50-4351ea01bfd7","year":2022},"citing_paper":{"arxiv_id":"2506.04538","last_updated":"2025-06-05T01:09:02Z","snapshot_observed_at":"2026-08-07T10:37:25.139794Z","submitted_at":"2025-06-05T01:09:02Z","title":"Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T10:44:49.500878Z"},"links":{"citing_paper":"/paper/2506.04538"},"observation_digest":"sha256:f4682995de280d39e9ca5c71ae73d4e5e9eafeac2accbad10dcaeafe64ca00e9","observation_id":"83fd1b2e-a101-4b43-a3d0-0b24604bf69c","resolution":{"observed_at":"2026-08-07T10:44:55.057447Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:44:55.039780Z","title":null,"venue":null,"work_id":"4380acf8-e90e-48b9-b23d-bfac6ff6987a","year":2024},"citing_paper":{"arxiv_id":"2506.04538","last_updated":"2025-06-05T01:09:02Z","snapshot_observed_at":"2026-08-07T10:37:25.139794Z","submitted_at":"2025-06-05T01:09:02Z","title":"Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T10:44:49.592436Z"},"links":{"citing_paper":"/paper/2506.04538"},"observation_digest":"sha256:873279732f65cce7e46b944b752f632a61e5c9d94522dfaad2c3d8f21ff918e0","observation_id":"f772c2c6-0d3b-4171-ad50-0e6243e2ccff","resolution":{"observed_at":"2026-08-07T10:44:55.043980Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:44:54.999428Z","title":"Parameter identifiability in PDE models of fluorescence recovery after photobleaching","venue":null,"work_id":"20ebd78b-a833-4b63-8723-2b5cc9e1e79f","year":2024},"citing_paper":{"arxiv_id":"2506.04538","last_updated":"2025-06-05T01:09:02Z","snapshot_observed_at":"2026-08-07T10:37:25.139794Z","submitted_at":"2025-06-05T01:09:02Z","title":"Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T10:44:49.669442Z"},"links":{"citing_paper":"/paper/2506.04538"},"observation_digest":"sha256:2f811d3c7714a175890546d67f0d922c34c470a39bc5210f026c7b10eb05db9c","observation_id":"68c115eb-0ae4-408b-a505-1a17d12f570a","resolution":{"observed_at":"2026-08-07T10:44:55.021591Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2024.0222","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:44:52.266450Z","title":"A comparison of Gaussian processes and polynomial chaos emulators in the context of haemodynamic pulse–wave propagation modelling","venue":null,"work_id":"acb7a755-9843-445a-81f0-b9ff731b9ffd","year":2025},"citing_paper":{"arxiv_id":"2506.04538","last_updated":"2025-06-05T01:09:02Z","snapshot_observed_at":"2026-08-07T10:37:25.139794Z","submitted_at":"2025-06-05T01:09:02Z","title":"Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T10:44:49.756231Z"},"links":{"citing_paper":"/paper/2506.04538"},"observation_digest":"sha256:62d82951c69817098b45056fb7ca2390c3ffb0627da294038a2edad2173e9b3c","observation_id":"21390e1e-d516-4aac-8e9f-587cd05d626a","resolution":{"observed_at":"2026-08-07T10:44:52.352752Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:44:54.875583Z","title":"Numerical simulation and experimental validation of blood flow in arteries with structured-tree outflow conditions","venue":null,"work_id":"c8de731f-387e-4d32-a47a-5dd7d31d596e","year":2000},"citing_paper":{"arxiv_id":"2506.04538","last_updated":"2025-06-05T01:09:02Z","snapshot_observed_at":"2026-08-07T10:37:25.139794Z","submitted_at":"2025-06-05T01:09:02Z","title":"Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T10:44:49.819353Z"},"links":{"citing_paper":"/paper/2506.04538"},"observation_digest":"sha256:809ee8a7cbad08849076e5f9f1dcbd57e81de976f417d56899e3b1e3ec04af2c","observation_id":"bb65c195-4fd3-4ed3-8f6d-4080e5d4ed8e","resolution":{"observed_at":"2026-08-07T10:44:54.945237Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:44:54.720886Z","title":"Sensitivity analysis and uncertainty quantification of 1-D models of pulmonary hemodynamics in mice under control and hypertensive conditions","venue":null,"work_id":"832d9ab2-95a1-44bf-9ed7-57b82d1b3c6a","year":2021},"citing_paper":{"arxiv_id":"2506.04538","last_updated":"2025-06-05T01:09:02Z","snapshot_observed_at":"2026-08-07T10:37:25.139794Z","submitted_at":"2025-06-05T01:09:02Z","title":"Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T10:44:49.873999Z"},"links":{"citing_paper":"/paper/2506.04538"},"observation_digest":"sha256:43b57c24df9db4e9efafcc163541680ee2355863fefadfbf8ad35cbd4ae7549a","observation_id":"f3566b5f-72f8-4927-84c6-21a84d42e507","resolution":{"observed_at":"2026-08-07T10:44:54.791081Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:44:54.530588Z","title":"Assessing model mismatch and model selection in a Bayesian uncertainty quantification analysis of a fluid-dynamics model of pulmonary blood circulation","venue":null,"work_id":"1a2fd113-5ed4-4b67-946f-8a90460c73b5","year":2020},"citing_paper":{"arxiv_id":"2506.04538","last_updated":"2025-06-05T01:09:02Z","snapshot_observed_at":"2026-08-07T10:37:25.139794Z","submitted_at":"2025-06-05T01:09:02Z","title":"Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T10:44:49.970621Z"},"links":{"citing_paper":"/paper/2506.04538"},"observation_digest":"sha256:ecb5f4e23caa42bb0d5e80c016f5183d428c69738c3b93bc63cd79584b670bb1","observation_id":"ca41b0e3-404d-4fc0-a917-7731c24c999e","resolution":{"observed_at":"2026-08-07T10:44:54.624019Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:44:54.393615Z","title":"Pulse Wave Propagation in the Arterial Tree","venue":null,"work_id":"145d6646-0b48-4598-a59c-279513f963e3","year":2011},"citing_paper":{"arxiv_id":"2506.04538","last_updated":"2025-06-05T01:09:02Z","snapshot_observed_at":"2026-08-07T10:37:25.139794Z","submitted_at":"2025-06-05T01:09:02Z","title":"Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T10:44:50.028379Z"},"links":{"citing_paper":"/paper/2506.04538"},"observation_digest":"sha256:67fe1c327605717324f543f434d53ad5fbe81f9f5771e425c469f1ce39676244","observation_id":"0e70f0f2-6ac9-417c-ab46-30f529f243c1","resolution":{"observed_at":"2026-08-07T10:44:54.464716Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s10237-014-0563-y","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:44:51.821003Z","title":"Numerical simulation of blood flow and pressure drop in the pulmonary arterial and venous circulation","venue":null,"work_id":"26a0bd6a-b586-44a9-a441-6b6272243303","year":2014},"citing_paper":{"arxiv_id":"2506.04538","last_updated":"2025-06-05T01:09:02Z","snapshot_observed_at":"2026-08-07T10:37:25.139794Z","submitted_at":"2025-06-05T01:09:02Z","title":"Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T10:44:50.094593Z"},"links":{"citing_paper":"/paper/2506.04538"},"observation_digest":"sha256:7730c508b99598b8a353a80c28f254aa9831c4adf297311e6b7559579c5e2a11","observation_id":"12474472-da0b-4c8a-89a7-efe827a00c65","resolution":{"observed_at":"2026-08-07T10:44:51.864388Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s10237-018-01114-0","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:44:51.658606Z","title":"Evolution of hemodynamic forces in the pulmonary tree with progressively worsening pulmonary arterial hypertension in pediatric patients","venue":null,"work_id":"9fa91750-a41a-43be-94ed-18aaa784d6c6","year":2019},"citing_paper":{"arxiv_id":"2506.04538","last_updated":"2025-06-05T01:09:02Z","snapshot_observed_at":"2026-08-07T10:37:25.139794Z","submitted_at":"2025-06-05T01:09:02Z","title":"Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T10:44:50.152136Z"},"links":{"citing_paper":"/paper/2506.04538"},"observation_digest":"sha256:37e84e9593e2ba0499e5f7e0c6c23e6750c360b0bc9478a1e78d71d61fb232d5","observation_id":"def84a74-7536-4376-b8ed-ddd41cdc4c96","resolution":{"observed_at":"2026-08-07T10:44:51.750560Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:44:54.197059Z","title":"The arterial Windkessel","venue":null,"work_id":"76c96d57-1199-465f-b14f-26253846b86d","year":2009},"citing_paper":{"arxiv_id":"2506.04538","last_updated":"2025-06-05T01:09:02Z","snapshot_observed_at":"2026-08-07T10:37:25.139794Z","submitted_at":"2025-06-05T01:09:02Z","title":"Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T10:44:50.223754Z"},"links":{"citing_paper":"/paper/2506.04538"},"observation_digest":"sha256:f8c4628f87e0b90e2cc39fbff0e334709399caada602650cb03c72e71f49094e","observation_id":"c460e1f6-d484-4220-9c64-9ece10bc303f","resolution":{"observed_at":"2026-08-07T10:44:54.291542Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:44:54.056741Z","title":"Structural and hemodynamic properties of murine pulmonary arterial networks under hypoxia-induced pulmonary hypertension","venue":null,"work_id":"1ec0cbe8-3a0e-47a0-914b-9b435db62666","year":2020},"citing_paper":{"arxiv_id":"2506.04538","last_updated":"2025-06-05T01:09:02Z","snapshot_observed_at":"2026-08-07T10:37:25.139794Z","submitted_at":"2025-06-05T01:09:02Z","title":"Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T10:44:50.301427Z"},"links":{"citing_paper":"/paper/2506.04538"},"observation_digest":"sha256:7c1ccc115098f51b3153694f2c0784a10c3d2c263eaeda7a87dc6b1350058782","observation_id":"96d00945-0137-42b1-af90-5a69bb34d400","resolution":{"observed_at":"2026-08-07T10:44:54.108635Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:44:53.905526Z","title":"UQLab: A framework for uncertainty quantification in Matlab","venue":null,"work_id":"397ad3a5-a336-44e8-88ad-08310e9d5abd","year":2014},"citing_paper":{"arxiv_id":"2506.04538","last_updated":"2025-06-05T01:09:02Z","snapshot_observed_at":"2026-08-07T10:37:25.139794Z","submitted_at":"2025-06-05T01:09:02Z","title":"Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T10:44:50.364763Z"},"links":{"citing_paper":"/paper/2506.04538"},"observation_digest":"sha256:ed986b3dd08ced104f934cc3a3f48ccad9b78d794d07ccd8cdab8dbc212a35c4","observation_id":"d350b128-28a4-4e47-a38a-2adf16c95c5d","resolution":{"observed_at":"2026-08-07T10:44:53.987589Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:44:53.756757Z","title":"Computer model calibration using high-dimensional output","venue":null,"work_id":"61b8034b-dc12-45e6-bbbf-98de357cec2d","year":2008},"citing_paper":{"arxiv_id":"2506.04538","last_updated":"2025-06-05T01:09:02Z","snapshot_observed_at":"2026-08-07T10:37:25.139794Z","submitted_at":"2025-06-05T01:09:02Z","title":"Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T10:44:50.448959Z"},"links":{"citing_paper":"/paper/2506.04538"},"observation_digest":"sha256:e5216addff095d44aa7cef89294618d10a80e81162cf160c1400f109b72061cb","observation_id":"64292170-77c8-452e-ab47-060a77f510e0","resolution":{"observed_at":"2026-08-07T10:44:53.847872Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1088/0266-5611/32/12/125009","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:44:51.539624Z","title":"Integration based profile likelihood calculation for PDE constrained parameter estimation problems","venue":null,"work_id":"0e4d2d78-aef1-4de3-a34c-385eba021139","year":2016},"citing_paper":{"arxiv_id":"2506.04538","last_updated":"2025-06-05T01:09:02Z","snapshot_observed_at":"2026-08-07T10:37:25.139794Z","submitted_at":"2025-06-05T01:09:02Z","title":"Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T10:44:50.507387Z"},"links":{"citing_paper":"/paper/2506.04538"},"observation_digest":"sha256:c42b1bf8a5d3d43b97f8abeec11696ee208213ddf334eb5ef0aa63f4a3b92a3b","observation_id":"2948926a-c779-41ce-8de0-55ae69a6dbdf","resolution":{"observed_at":"2026-08-07T10:44:51.599185Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:44:53.579461Z","title":"Personalization of models with many model parameters: an efficient sensitivity analysis approach","venue":null,"work_id":"b1ca4524-0ea9-4fbe-a749-853d7491a255","year":2015},"citing_paper":{"arxiv_id":"2506.04538","last_updated":"2025-06-05T01:09:02Z","snapshot_observed_at":"2026-08-07T10:37:25.139794Z","submitted_at":"2025-06-05T01:09:02Z","title":"Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T10:44:50.588211Z"},"links":{"citing_paper":"/paper/2506.04538"},"observation_digest":"sha256:d108cfbda76ebea163878059f4ff3358347ea4f2087307c4e9c6ff6735d5c4e1","observation_id":"6ca51b0a-6656-424f-af1c-b915239df35a","resolution":{"observed_at":"2026-08-07T10:44:53.639633Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:44:53.424698Z","title":"Bayesian sensitivity analysis of a 1D vascular model with Gaussian process emulators","venue":null,"work_id":"ad619767-54a6-4fc8-9fb2-edd210528a78","year":2017},"citing_paper":{"arxiv_id":"2506.04538","last_updated":"2025-06-05T01:09:02Z","snapshot_observed_at":"2026-08-07T10:37:25.139794Z","submitted_at":"2025-06-05T01:09:02Z","title":"Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T10:44:50.703158Z"},"links":{"citing_paper":"/paper/2506.04538"},"observation_digest":"sha256:8a93a1e67d52f251b5f9048d95e1ad9f8e71a14371fd861674feedebc3e2a925","observation_id":"914d23a8-9781-4df4-8cc1-a5c1de279e40","resolution":{"observed_at":"2026-08-07T10:44:53.479543Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:44:53.266502Z","title":"An Effective Fractal-Tree Closure Model for Simulating Blood Flow in Large Arterial Networks","venue":null,"work_id":"d7b6be7f-4a35-49d0-93d3-7c7aec9edb57","year":2015},"citing_paper":{"arxiv_id":"2506.04538","last_updated":"2025-06-05T01:09:02Z","snapshot_observed_at":"2026-08-07T10:37:25.139794Z","submitted_at":"2025-06-05T01:09:02Z","title":"Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T10:44:50.792784Z"},"links":{"citing_paper":"/paper/2506.04538"},"observation_digest":"sha256:7fa5f5438666da66d3259d6ba38f4127dcec9932d2434bdc509bb713dceb5c55","observation_id":"8e150db5-f7f3-4e20-bbcb-8bfff648c9ce","resolution":{"observed_at":"2026-08-07T10:44:53.340138Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1017/jfm.2012.220","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:44:51.406504Z","title":"Rarefaction and blood pressure in systemic and pulmonary arteries","venue":null,"work_id":"ecf05afc-fd5b-4e69-80d4-6f4ef09f3c45","year":2012},"citing_paper":{"arxiv_id":"2506.04538","last_updated":"2025-06-05T01:09:02Z","snapshot_observed_at":"2026-08-07T10:37:25.139794Z","submitted_at":"2025-06-05T01:09:02Z","title":"Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T10:44:50.880231Z"},"links":{"citing_paper":"/paper/2506.04538"},"observation_digest":"sha256:f5bbb448cbd5c319d82eb49f7cd6b1e2c87adc1123adaf8ba20758db47fe5b06","observation_id":"0b8224ce-cf99-4690-aaf6-e93bbebab50e","resolution":{"observed_at":"2026-08-07T10:44:51.461869Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:44:50.957996Z","title":"Parameter selection and optimization of a computational network model of blood flow in single-ventricle patients","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.04538","last_updated":"2025-06-05T01:09:02Z","snapshot_observed_at":"2026-08-07T10:37:25.139794Z","submitted_at":"2025-06-05T01:09:02Z","title":"Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T10:44:50.957996Z"},"links":{"citing_paper":"/paper/2506.04538"},"observation_digest":"sha256:2194e38f9d19af80a2db5bacaa69ac5ffd90c5c111188bd45989818df63cb6cb","observation_id":"1bc4d876-1782-49d6-bce7-c082a335ae77","resolution":{"observed_at":"2026-08-07T10:44:50.957996Z","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":"2026-08-07T10:44:53.103298Z","title":"To Sobol or not to Sobol? The effects of sampling schemes in systems biology applications","venue":null,"work_id":"33d08801-dcdd-48af-a677-d4ce26f92202","year":2021},"citing_paper":{"arxiv_id":"2506.04538","last_updated":"2025-06-05T01:09:02Z","snapshot_observed_at":"2026-08-07T10:37:25.139794Z","submitted_at":"2025-06-05T01:09:02Z","title":"Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T10:44:51.050778Z"},"links":{"citing_paper":"/paper/2506.04538"},"observation_digest":"sha256:66186babaf88c3206d9bc191ac4870f8e545ee514968b54bbdfc7b7649a05fba","observation_id":"840239cd-fbd5-4638-ad7a-ede09ec4d9ec","resolution":{"observed_at":"2026-08-07T10:44:53.194869Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:44:52.908653Z","title":"Hemodynamic assessment of pulmonary hypertension in mice: a model-based analysis of the disease mechanism","venue":null,"work_id":"94d60459-9e04-445d-befb-7ec69412a79c","year":2019},"citing_paper":{"arxiv_id":"2506.04538","last_updated":"2025-06-05T01:09:02Z","snapshot_observed_at":"2026-08-07T10:37:25.139794Z","submitted_at":"2025-06-05T01:09:02Z","title":"Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T10:44:51.118188Z"},"links":{"citing_paper":"/paper/2506.04538"},"observation_digest":"sha256:337bde9d02a8f3b23d1f82955dc622808deec1cb8c9860a4d45aaec048ad7f75","observation_id":"9acd201d-ccb3-473a-bc8d-33cba98af807","resolution":{"observed_at":"2026-08-07T10:44:53.018608Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:44:52.748938Z","title":"Emulation-accelerated Hamiltonian Monte Carlo algorithms for parameter estimation and uncertainty quantification in differential equation models","venue":null,"work_id":"38b95250-ba31-4e94-8f04-bb357a8d33e6","year":2022},"citing_paper":{"arxiv_id":"2506.04538","last_updated":"2025-06-05T01:09:02Z","snapshot_observed_at":"2026-08-07T10:37:25.139794Z","submitted_at":"2025-06-05T01:09:02Z","title":"Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T10:44:51.167182Z"},"links":{"citing_paper":"/paper/2506.04538"},"observation_digest":"sha256:3e394af9c1bb318553c0c7e91dcbb5c5fde42917e360dd685cbb974381088be8","observation_id":"cad980d7-a80d-4e3f-826f-e6e065cd0fd6","resolution":{"observed_at":"2026-08-07T10:44:52.838571Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:44:52.582427Z","title":"Bayesian emulation of complex multi-output and dynamic computer models","venue":null,"work_id":"19893ad4-63d9-4c43-9c3d-eb0357c0d011","year":2010},"citing_paper":{"arxiv_id":"2506.04538","last_updated":"2025-06-05T01:09:02Z","snapshot_observed_at":"2026-08-07T10:37:25.139794Z","submitted_at":"2025-06-05T01:09:02Z","title":"Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T10:44:51.249194Z"},"links":{"citing_paper":"/paper/2506.04538"},"observation_digest":"sha256:4c7ebb95b6ec4fd26b2f66be664fc4cb61525ff73a9a308bab4f12115cd47a2c","observation_id":"f40c5e3a-6740-45ef-a7c0-3bab524e028a","resolution":{"observed_at":"2026-08-07T10:44:52.648959Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:44:52.484093Z","title":"Optimal experimental design for infinite-dimensional Bayesian inverse problems governed by PDEs: A review","venue":null,"work_id":"052145d0-7709-4a47-955d-96a1d99941cd","year":2021},"citing_paper":{"arxiv_id":"2506.04538","last_updated":"2025-06-05T01:09:02Z","snapshot_observed_at":"2026-08-07T10:37:25.139794Z","submitted_at":"2025-06-05T01:09:02Z","title":"Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T10:44:51.317783Z"},"links":{"citing_paper":"/paper/2506.04538"},"observation_digest":"sha256:5390cef6b39f5d7a4bbe4bc3e329c6f7e820c2392d0e62bcf65dd068d93c5cbe","observation_id":"2af9015d-b2bb-4fae-811d-765652809426","resolution":{"observed_at":"2026-08-07T10:44:52.530181Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.04538","last_updated":"2025-06-05T01:09:02Z","latest_version":1,"primary_category":"q-bio.TO","snapshot_observed_at":"2026-08-07T10:37:25.139794Z","submitted_at":"2025-06-05T01:09:02Z","title":"Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction"},"reference_resolution":{"displayed":38,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":5,"verified_exact":6,"verified_fuzzy":27},"total_outbound_references":38},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2506.04538."}