{"as_of":"2026-08-13T10:28:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:29febf1a290e9ccc12d873092824141e260d6a380cf23760b472cb432680bc54","coverage":[{"denominator":36,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":36,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T11:51:28.312515Z","state":"measured"},{"denominator":37,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":37,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+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":"2026-08-05T00:16:55.824567Z","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":"2026-08-05T00:16:56.288957Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.17858","last_updated":"2024-11-26T20:15:16Z","snapshot_observed_at":"2026-08-12T11:43:50.939319Z","submitted_at":"2024-11-26T20:15:16Z","title":"Posterior sampling with Adaptive Gaussian Processes in Bayesian parameter identification","version":1},"cited_work":{"arxiv_id":"2411.17858","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.17858","snapshot_observed_at":"2026-08-05T00:16:56.288957Z","title":"Posterior sampling with Adaptive Gaussian Processes in Bayesian parameter identification","venue":"math.NA","work_id":"244b2df8-d5a5-4719-b05c-76dd81187527","year":2024},"citing_paper":{"arxiv_id":"2608.00841","last_updated":"2026-08-01T19:45:35Z","snapshot_observed_at":"2026-08-09T12:08:01.324421Z","submitted_at":"2026-08-01T19:45:35Z","title":"Robust Surrogate-Based Bayesian Inference via Sampling-Based Adaptive Active Learning (SALE)","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-05T00:16:55.824567Z"},"links":{"cited_paper":"/paper/2411.17858","citing_paper":"/paper/2608.00841"},"observation_digest":"sha256:0563830bf05012cda7341f4cbad5085a0051954a70a84a3f746a9ca82d90b27c","observation_id":"73eebcef-986e-4bb4-af7d-d685b4822a33","resolution":{"observed_at":"2026-08-05T00:16:56.458942Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2411.17858/citation-record","integrity":"/paper/2411.17858/integrity","json":"/paper/2411.17858/citation-record.json","paper":"/paper/2411.17858"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:51:28.756397Z","title":null,"venue":null,"work_id":"d2f7a2b4-68fc-4b83-abdd-d97ba6f04906","year":2024},"citing_paper":{"arxiv_id":"2411.17858","last_updated":"2024-11-26T20:15:16Z","snapshot_observed_at":"2026-08-12T11:43:50.939319Z","submitted_at":"2024-11-26T20:15:16Z","title":"Posterior sampling with Adaptive Gaussian Processes in Bayesian parameter identification","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T11:51:28.166833Z"},"links":{"citing_paper":"/paper/2411.17858"},"observation_digest":"sha256:2570a242ca239ec4d2750878ab8b20ef9e24bc115aa34663715ac713c4ba8f85","observation_id":"b1e84bd1-dbf2-4686-9265-b946ea3a0ead","resolution":{"observed_at":"2026-08-12T11:51:28.759904Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:51:28.744917Z","title":null,"venue":null,"work_id":"6c0c10ac-80a4-49ef-b5e0-51ea5e8d9a72","year":2024},"citing_paper":{"arxiv_id":"2411.17858","last_updated":"2024-11-26T20:15:16Z","snapshot_observed_at":"2026-08-12T11:43:50.939319Z","submitted_at":"2024-11-26T20:15:16Z","title":"Posterior sampling with Adaptive Gaussian Processes in Bayesian parameter identification","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T11:51:28.171967Z"},"links":{"citing_paper":"/paper/2411.17858"},"observation_digest":"sha256:2c547d3c2d4f2d3dae2101bdf63afc162a3620444f37d9c071a1a689d14f9ac3","observation_id":"b8e6a1c6-7f7e-4e26-b958-a9791ad539f4","resolution":{"observed_at":"2026-08-12T11:51:28.749078Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:51:28.734236Z","title":null,"venue":null,"work_id":"95be6922-c027-48fe-b907-1afaa5284dec","year":2005},"citing_paper":{"arxiv_id":"2411.17858","last_updated":"2024-11-26T20:15:16Z","snapshot_observed_at":"2026-08-12T11:43:50.939319Z","submitted_at":"2024-11-26T20:15:16Z","title":"Posterior sampling with Adaptive Gaussian Processes in Bayesian parameter identification","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T11:51:28.176912Z"},"links":{"citing_paper":"/paper/2411.17858"},"observation_digest":"sha256:c3b2fb55eda2a1c0ad613daa6d9c0aa3022984e75faef38fc650be2ff7b48759","observation_id":"0c382ee7-9f88-4a18-953b-96e9e9f9b07a","resolution":{"observed_at":"2026-08-12T11:51:28.737707Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:51:28.724345Z","title":"Christmann and I","venue":null,"work_id":"8e293b00-a505-490c-af13-d9005871144e","year":2008},"citing_paper":{"arxiv_id":"2411.17858","last_updated":"2024-11-26T20:15:16Z","snapshot_observed_at":"2026-08-12T11:43:50.939319Z","submitted_at":"2024-11-26T20:15:16Z","title":"Posterior sampling with Adaptive Gaussian Processes in Bayesian parameter identification","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T11:51:28.180859Z"},"links":{"citing_paper":"/paper/2411.17858"},"observation_digest":"sha256:f0ae27c3392f53f5814ecf768b53fb1350b1256c8d7a135aa1a8b322316fce26","observation_id":"97e230ec-d994-45e8-9916-e84baa24a0ef","resolution":{"observed_at":"2026-08-12T11:51:28.727880Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:51:28.712977Z","title":"Crombecq, E","venue":null,"work_id":"42ba91c2-ad86-44d8-b463-b61db2333c39","year":2011},"citing_paper":{"arxiv_id":"2411.17858","last_updated":"2024-11-26T20:15:16Z","snapshot_observed_at":"2026-08-12T11:43:50.939319Z","submitted_at":"2024-11-26T20:15:16Z","title":"Posterior sampling with Adaptive Gaussian Processes in Bayesian parameter identification","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T11:51:28.185441Z"},"links":{"citing_paper":"/paper/2411.17858"},"observation_digest":"sha256:dd401d862fc570887458b51cd000d5d7878dd2302fd05d59467b28eeedfc44e6","observation_id":"cb925dc4-6103-42d5-8eaa-9743475fd09a","resolution":{"observed_at":"2026-08-12T11:51:28.716552Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:51:28.702292Z","title":"Dinkel, C","venue":null,"work_id":"bf0792d3-5a47-4655-87ce-fd4357f31e27","year":2024},"citing_paper":{"arxiv_id":"2411.17858","last_updated":"2024-11-26T20:15:16Z","snapshot_observed_at":"2026-08-12T11:43:50.939319Z","submitted_at":"2024-11-26T20:15:16Z","title":"Posterior sampling with Adaptive Gaussian Processes in Bayesian parameter identification","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T11:51:28.189776Z"},"links":{"citing_paper":"/paper/2411.17858"},"observation_digest":"sha256:7badad0d84836eaa0fcbdeac1b28c67991ae502721950de742305636966a62cd","observation_id":"87ea1992-5b19-421b-adc0-38a826414f52","resolution":{"observed_at":"2026-08-12T11:51:28.706020Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:51:28.691860Z","title":null,"venue":null,"work_id":"08c3f318-a04f-4694-b15a-d2d6b918bb6c","year":2014},"citing_paper":{"arxiv_id":"2411.17858","last_updated":"2024-11-26T20:15:16Z","snapshot_observed_at":"2026-08-12T11:43:50.939319Z","submitted_at":"2024-11-26T20:15:16Z","title":"Posterior sampling with Adaptive Gaussian Processes in Bayesian parameter identification","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T11:51:28.194957Z"},"links":{"citing_paper":"/paper/2411.17858"},"observation_digest":"sha256:10750d1b65a04eab040ee74ec30a9ab87d07a126e2d37d89d8e16f841e8971f9","observation_id":"309fbf3f-402e-4614-af4e-e7dfb0516548","resolution":{"observed_at":"2026-08-12T11:51:28.695368Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:51:28.679865Z","title":null,"venue":null,"work_id":"1aa117d7-0f8f-4c99-8bb3-317927b67764","year":1996},"citing_paper":{"arxiv_id":"2411.17858","last_updated":"2024-11-26T20:15:16Z","snapshot_observed_at":"2026-08-12T11:43:50.939319Z","submitted_at":"2024-11-26T20:15:16Z","title":"Posterior sampling with Adaptive Gaussian Processes in Bayesian parameter identification","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T11:51:28.199058Z"},"links":{"citing_paper":"/paper/2411.17858"},"observation_digest":"sha256:14e26e79b95ab62f0c825dbaeba3dfb71921ae966811737a6babc11f7dd97c0b","observation_id":"94bf0def-627a-4b6d-803e-3f4693118307","resolution":{"observed_at":"2026-08-12T11:51:28.684359Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:51:28.667568Z","title":"Foreman-Mackey","venue":null,"work_id":"b1331b4e-3e11-4370-8add-5199a93a5bd6","year":2016},"citing_paper":{"arxiv_id":"2411.17858","last_updated":"2024-11-26T20:15:16Z","snapshot_observed_at":"2026-08-12T11:43:50.939319Z","submitted_at":"2024-11-26T20:15:16Z","title":"Posterior sampling with Adaptive Gaussian Processes in Bayesian parameter identification","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T11:51:28.204222Z"},"links":{"citing_paper":"/paper/2411.17858"},"observation_digest":"sha256:367a7d8edbca08a370a1be4ec087094bc5134be9186c5c350d84fb56396719de","observation_id":"67891fff-160a-4706-a4de-bc66983bc2cb","resolution":{"observed_at":"2026-08-12T11:51:28.671482Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:51:28.655099Z","title":"Foreman-Mackey, D","venue":null,"work_id":"58b4e7fb-da8b-4abe-9f81-dc50cdf21ce0","year":2013},"citing_paper":{"arxiv_id":"2411.17858","last_updated":"2024-11-26T20:15:16Z","snapshot_observed_at":"2026-08-12T11:43:50.939319Z","submitted_at":"2024-11-26T20:15:16Z","title":"Posterior sampling with Adaptive Gaussian Processes in Bayesian parameter identification","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T11:51:28.210564Z"},"links":{"citing_paper":"/paper/2411.17858"},"observation_digest":"sha256:3678dd4533d23a63060a4754d4af1495e097ceefa4b1f4968fa10f3fc60bc249","observation_id":"efe67fc9-82fa-4e16-a498-ec363dec6ab9","resolution":{"observed_at":"2026-08-12T11:51:28.659140Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:51:28.640087Z","title":"Gpy- torch: Blackbox matrix-matrix gaussian process inference with gpu acceleration","venue":null,"work_id":"16a40ffd-2c8b-4ed4-9640-8ba0b5ab1b87","year":2018},"citing_paper":{"arxiv_id":"2411.17858","last_updated":"2024-11-26T20:15:16Z","snapshot_observed_at":"2026-08-12T11:43:50.939319Z","submitted_at":"2024-11-26T20:15:16Z","title":"Posterior sampling with Adaptive Gaussian Processes in Bayesian parameter identification","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T11:51:28.214232Z"},"links":{"citing_paper":"/paper/2411.17858"},"observation_digest":"sha256:f5bb7b7f1eb888878b6d53d0318191542ceed748dd51d341702a90fbe9aa98ce","observation_id":"260b8ffc-b5d2-4c79-bb2e-f989c5c5d3ba","resolution":{"observed_at":"2026-08-12T11:51:28.645110Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:51:28.625369Z","title":"Giunta, S","venue":null,"work_id":"5c2080c6-1bf5-4582-aede-0d7013240bdd","year":2003},"citing_paper":{"arxiv_id":"2411.17858","last_updated":"2024-11-26T20:15:16Z","snapshot_observed_at":"2026-08-12T11:43:50.939319Z","submitted_at":"2024-11-26T20:15:16Z","title":"Posterior sampling with Adaptive Gaussian Processes in Bayesian parameter identification","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T11:51:28.218334Z"},"links":{"citing_paper":"/paper/2411.17858"},"observation_digest":"sha256:d3076c413c6ff0c5bdd7f1627759ecf19d2c3ad219834b18de0c849038aa7d9e","observation_id":"d8c22ee6-63d3-4d8c-bea3-c8d19ed8b63d","resolution":{"observed_at":"2026-08-12T11:51:28.629679Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:51:28.611199Z","title":"Goodman and J","venue":null,"work_id":"6af0182f-c572-4e18-953b-23417b76430f","year":2010},"citing_paper":{"arxiv_id":"2411.17858","last_updated":"2024-11-26T20:15:16Z","snapshot_observed_at":"2026-08-12T11:43:50.939319Z","submitted_at":"2024-11-26T20:15:16Z","title":"Posterior sampling with Adaptive Gaussian Processes in Bayesian parameter identification","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T11:51:28.222221Z"},"links":{"citing_paper":"/paper/2411.17858"},"observation_digest":"sha256:8ba3eb56a68be1f7d378214ecff40ac99466905383ef6b85d016791f9254d94d","observation_id":"483635aa-dd57-472f-9f03-abc71097cd69","resolution":{"observed_at":"2026-08-12T11:51:28.616757Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:51:28.596726Z","title":"Hastings","venue":null,"work_id":"de54ad06-75ee-400b-8f68-1dfd7774d327","year":1970},"citing_paper":{"arxiv_id":"2411.17858","last_updated":"2024-11-26T20:15:16Z","snapshot_observed_at":"2026-08-12T11:43:50.939319Z","submitted_at":"2024-11-26T20:15:16Z","title":"Posterior sampling with Adaptive Gaussian Processes in Bayesian parameter identification","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T11:51:28.226194Z"},"links":{"citing_paper":"/paper/2411.17858"},"observation_digest":"sha256:db188418e07a1f9b796896937e3f1f8534d81dd84699760b25e6aa8b9e1eee89","observation_id":"b71f2b77-5a9c-4cd8-91f0-4d10ea9f030c","resolution":{"observed_at":"2026-08-12T11:51:28.602013Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:51:28.584804Z","title":"Helin, A.M","venue":null,"work_id":"dfbed0be-5e3e-4846-b4f6-bd575fcf8a10","year":2023},"citing_paper":{"arxiv_id":"2411.17858","last_updated":"2024-11-26T20:15:16Z","snapshot_observed_at":"2026-08-12T11:43:50.939319Z","submitted_at":"2024-11-26T20:15:16Z","title":"Posterior sampling with Adaptive Gaussian Processes in Bayesian parameter identification","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T11:51:28.229742Z"},"links":{"citing_paper":"/paper/2411.17858"},"observation_digest":"sha256:1749f393c376ec71957ec0d545bd5f5453e878347e99feb71ad4dfcd57812b07","observation_id":"a2a12b18-e27b-4a22-b54f-f7e6cd07e6a0","resolution":{"observed_at":"2026-08-12T11:51:28.588812Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:51:28.570860Z","title":"Hennig and C.J","venue":null,"work_id":"a9bdbaf1-f72d-4c34-8bbf-c36f9722e611","year":2012},"citing_paper":{"arxiv_id":"2411.17858","last_updated":"2024-11-26T20:15:16Z","snapshot_observed_at":"2026-08-12T11:43:50.939319Z","submitted_at":"2024-11-26T20:15:16Z","title":"Posterior sampling with Adaptive Gaussian Processes in Bayesian parameter identification","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T11:51:28.234467Z"},"links":{"citing_paper":"/paper/2411.17858"},"observation_digest":"sha256:a043d4d537769c5137bc59937f915994e3141101445a64da00c79cc22a934650","observation_id":"23651ffc-0703-4c31-8fbd-ce40b71b8245","resolution":{"observed_at":"2026-08-12T11:51:28.575244Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:51:28.559859Z","title":"Joseph and Y","venue":null,"work_id":"a3bd89bd-8a76-4a1c-ba86-0e3fdd5b6e55","year":2008},"citing_paper":{"arxiv_id":"2411.17858","last_updated":"2024-11-26T20:15:16Z","snapshot_observed_at":"2026-08-12T11:43:50.939319Z","submitted_at":"2024-11-26T20:15:16Z","title":"Posterior sampling with Adaptive Gaussian Processes in Bayesian parameter identification","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T11:51:28.238270Z"},"links":{"citing_paper":"/paper/2411.17858"},"observation_digest":"sha256:18e778024064a9951e40863c2db7990cc06ad6c929179159d67bbe8685071803","observation_id":"12e68c63-5221-4618-a34a-b892fc20190c","resolution":{"observed_at":"2026-08-12T11:51:28.563558Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:51:28.548376Z","title":"J¨ arvenp¨ a¨ a, M","venue":null,"work_id":"3f8bf521-f29f-4732-aa7c-0beed7a2679c","year":2021},"citing_paper":{"arxiv_id":"2411.17858","last_updated":"2024-11-26T20:15:16Z","snapshot_observed_at":"2026-08-12T11:43:50.939319Z","submitted_at":"2024-11-26T20:15:16Z","title":"Posterior sampling with Adaptive Gaussian Processes in Bayesian parameter identification","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T11:51:28.242133Z"},"links":{"citing_paper":"/paper/2411.17858"},"observation_digest":"sha256:0c3deac6f251c58f10f8f893adcdb849f0825f7a3ea9de9c627d04b1f32d6b6f","observation_id":"ad394849-a199-47b9-b20f-9c0c5852025e","resolution":{"observed_at":"2026-08-12T11:51:28.552948Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:51:28.246527Z","title":"Kaipio and E","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2411.17858","last_updated":"2024-11-26T20:15:16Z","snapshot_observed_at":"2026-08-12T11:43:50.939319Z","submitted_at":"2024-11-26T20:15:16Z","title":"Posterior sampling with Adaptive Gaussian Processes in Bayesian parameter identification","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T11:51:28.246527Z"},"links":{"citing_paper":"/paper/2411.17858"},"observation_digest":"sha256:6baf09fb1ae4948d6b0aaf57c97082ff08491dbd161208a30fdcc0bd9bbb2419","observation_id":"4a4ab7fe-9a94-418a-be33-c8e868ef5a0a","resolution":{"observed_at":"2026-08-12T11:51:28.246527Z","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":"2026-08-12T11:51:28.530253Z","title":"Lehmensiek, P","venue":null,"work_id":"98d421bb-e600-4852-bb4b-d3599d2d7c81","year":2002},"citing_paper":{"arxiv_id":"2411.17858","last_updated":"2024-11-26T20:15:16Z","snapshot_observed_at":"2026-08-12T11:43:50.939319Z","submitted_at":"2024-11-26T20:15:16Z","title":"Posterior sampling with Adaptive Gaussian Processes in Bayesian parameter identification","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T11:51:28.250365Z"},"links":{"citing_paper":"/paper/2411.17858"},"observation_digest":"sha256:843d2bdc888321fd57e11cbe329787fc610dc0f2756616a5b5208840673be86b","observation_id":"d517db4f-b57c-40ba-ab6b-3f6ed0cf02fd","resolution":{"observed_at":"2026-08-12T11:51:28.533843Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:51:28.519077Z","title":"Moˇ ckus","venue":null,"work_id":"157e14b5-ff7c-45c0-a5a9-5845110bc492","year":1975},"citing_paper":{"arxiv_id":"2411.17858","last_updated":"2024-11-26T20:15:16Z","snapshot_observed_at":"2026-08-12T11:43:50.939319Z","submitted_at":"2024-11-26T20:15:16Z","title":"Posterior sampling with Adaptive Gaussian Processes in Bayesian parameter identification","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T11:51:28.254512Z"},"links":{"citing_paper":"/paper/2411.17858"},"observation_digest":"sha256:fffa1c2b0d9309ba889eb6679b6a849702071f07f004a931e48d995be33dc988","observation_id":"55bcd54a-d39b-4e0d-8ecd-369ffab8b481","resolution":{"observed_at":"2026-08-12T11:51:28.522864Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:51:28.508446Z","title":"Queipo, R","venue":null,"work_id":"eeb14bc3-565d-4845-a379-d22f6370133d","year":2005},"citing_paper":{"arxiv_id":"2411.17858","last_updated":"2024-11-26T20:15:16Z","snapshot_observed_at":"2026-08-12T11:43:50.939319Z","submitted_at":"2024-11-26T20:15:16Z","title":"Posterior sampling with Adaptive Gaussian Processes in Bayesian parameter identification","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T11:51:28.259162Z"},"links":{"citing_paper":"/paper/2411.17858"},"observation_digest":"sha256:a976dbdd1c3ddd2ede1d6391cf4547d6b3d8038f682acd796bc5e88439a1d61c","observation_id":"37700039-74cd-4367-9950-84d662dae9c8","resolution":{"observed_at":"2026-08-12T11:51:28.512008Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:51:28.496763Z","title":"Rasmussen and C.K.I","venue":null,"work_id":"b82c412b-b068-4165-9c1f-d3c23f5546bc","year":2006},"citing_paper":{"arxiv_id":"2411.17858","last_updated":"2024-11-26T20:15:16Z","snapshot_observed_at":"2026-08-12T11:43:50.939319Z","submitted_at":"2024-11-26T20:15:16Z","title":"Posterior sampling with Adaptive Gaussian Processes in Bayesian parameter identification","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T11:51:28.262255Z"},"links":{"citing_paper":"/paper/2411.17858"},"observation_digest":"sha256:5fc2da80ca93e273f803a359c9600c89deef4fd179f3e3e642279a36f87be178","observation_id":"e2b4a963-9dca-4d95-a91c-2332de5f9fa4","resolution":{"observed_at":"2026-08-12T11:51:28.501030Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:51:28.483444Z","title":"Schneider, M","venue":null,"work_id":"36220e60-29df-4778-bb86-03661ed79064","year":2019},"citing_paper":{"arxiv_id":"2411.17858","last_updated":"2024-11-26T20:15:16Z","snapshot_observed_at":"2026-08-12T11:43:50.939319Z","submitted_at":"2024-11-26T20:15:16Z","title":"Posterior sampling with Adaptive Gaussian Processes in Bayesian parameter identification","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T11:51:28.267400Z"},"links":{"citing_paper":"/paper/2411.17858"},"observation_digest":"sha256:0b7723297a1257d2911f1e9b5eda811376352256fb21f192e9e8d74affda9fcd","observation_id":"497ff060-a146-4c23-b26b-e4f6996205d9","resolution":{"observed_at":"2026-08-12T11:51:28.487356Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:51:28.472400Z","title":"Semler and M","venue":null,"work_id":"4e1099f5-896d-4da9-bfea-0ea5c6fbf485","year":2023},"citing_paper":{"arxiv_id":"2411.17858","last_updated":"2024-11-26T20:15:16Z","snapshot_observed_at":"2026-08-12T11:43:50.939319Z","submitted_at":"2024-11-26T20:15:16Z","title":"Posterior sampling with Adaptive Gaussian Processes in Bayesian parameter identification","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T11:51:28.270865Z"},"links":{"citing_paper":"/paper/2411.17858"},"observation_digest":"sha256:969a70e86fd560c97e1e506b399b885af424f525fda81242773cfe6940494dd0","observation_id":"500fbc6c-c2be-4619-8eb7-01eb9b39c199","resolution":{"observed_at":"2026-08-12T11:51:28.476055Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:51:28.461236Z","title":"Semler and M","venue":null,"work_id":"4393be8e-cecc-45ac-b959-1c67422b2157","year":2023},"citing_paper":{"arxiv_id":"2411.17858","last_updated":"2024-11-26T20:15:16Z","snapshot_observed_at":"2026-08-12T11:43:50.939319Z","submitted_at":"2024-11-26T20:15:16Z","title":"Posterior sampling with Adaptive Gaussian Processes in Bayesian parameter identification","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T11:51:28.274509Z"},"links":{"citing_paper":"/paper/2411.17858"},"observation_digest":"sha256:1d0c8a1d6a45eb851d30181b85ba48c1df8a03241507bad0feff80a9c508c908","observation_id":"7f373071-4edc-4a28-b1fc-d162bb13d930","resolution":{"observed_at":"2026-08-12T11:51:28.464879Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:51:28.449750Z","title":"Sinsbeck and W","venue":null,"work_id":"fc7315c0-2ac3-42e1-a7b4-7cd9ec0be854","year":2017},"citing_paper":{"arxiv_id":"2411.17858","last_updated":"2024-11-26T20:15:16Z","snapshot_observed_at":"2026-08-12T11:43:50.939319Z","submitted_at":"2024-11-26T20:15:16Z","title":"Posterior sampling with Adaptive Gaussian Processes in Bayesian parameter identification","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T11:51:28.278527Z"},"links":{"citing_paper":"/paper/2411.17858"},"observation_digest":"sha256:a5eeb69c2c503701d7d2c7d238fd32e485dc7b3a60b86d9298a84f3aacc1e3ef","observation_id":"5d8a9696-383d-4dc3-bc20-892647d1064a","resolution":{"observed_at":"2026-08-12T11:51:28.454002Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:51:28.438173Z","title":"Sugiyama","venue":null,"work_id":"a082b9c6-0fa7-4a86-8594-648893f489f8","year":2006},"citing_paper":{"arxiv_id":"2411.17858","last_updated":"2024-11-26T20:15:16Z","snapshot_observed_at":"2026-08-12T11:43:50.939319Z","submitted_at":"2024-11-26T20:15:16Z","title":"Posterior sampling with Adaptive Gaussian Processes in Bayesian parameter identification","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T11:51:28.282355Z"},"links":{"citing_paper":"/paper/2411.17858"},"observation_digest":"sha256:ccfe84be6664270fbbb8cf5ec0f38e186e6be2fb54490f8e9538587bd71b7c5a","observation_id":"91c60950-557d-41b1-9e88-071c28623cda","resolution":{"observed_at":"2026-08-12T11:51:28.442276Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:51:28.427401Z","title":"Ter Braak","venue":null,"work_id":"97adbda8-4860-47a2-aa77-9cc9dc0bda40","year":2006},"citing_paper":{"arxiv_id":"2411.17858","last_updated":"2024-11-26T20:15:16Z","snapshot_observed_at":"2026-08-12T11:43:50.939319Z","submitted_at":"2024-11-26T20:15:16Z","title":"Posterior sampling with Adaptive Gaussian Processes in Bayesian parameter identification","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T11:51:28.286073Z"},"links":{"citing_paper":"/paper/2411.17858"},"observation_digest":"sha256:956299c74c6a6061ea42b7a2573139cdfb800d7fe009c2158f85756e68244613","observation_id":"f148fede-5bf2-4997-8c97-d51fa96a8ce1","resolution":{"observed_at":"2026-08-12T11:51:28.430974Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:51:28.415066Z","title":"Villani, J","venue":null,"work_id":"cff64a78-07d0-4b74-9276-ccbfe6f76c1b","year":2024},"citing_paper":{"arxiv_id":"2411.17858","last_updated":"2024-11-26T20:15:16Z","snapshot_observed_at":"2026-08-12T11:43:50.939319Z","submitted_at":"2024-11-26T20:15:16Z","title":"Posterior sampling with Adaptive Gaussian Processes in Bayesian parameter identification","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T11:51:28.289787Z"},"links":{"citing_paper":"/paper/2411.17858"},"observation_digest":"sha256:31f3a678c0556df350435cc60771e4a629b5ca8a5d333c3a2650f4da5d83b935","observation_id":"68842a9f-418d-4e1b-8949-75205a153061","resolution":{"observed_at":"2026-08-12T11:51:28.418808Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:51:28.403438Z","title":"Wang and M","venue":null,"work_id":"ac04e35d-5fa9-420c-b150-947c43b4f2d2","year":2020},"citing_paper":{"arxiv_id":"2411.17858","last_updated":"2024-11-26T20:15:16Z","snapshot_observed_at":"2026-08-12T11:43:50.939319Z","submitted_at":"2024-11-26T20:15:16Z","title":"Posterior sampling with Adaptive Gaussian Processes in Bayesian parameter identification","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T11:51:28.293711Z"},"links":{"citing_paper":"/paper/2411.17858"},"observation_digest":"sha256:67bc08e87a42470f1d11b8a774179f875785200a024e4a83c59ce1964bd8f84f","observation_id":"db35a7b1-90d7-4913-83d8-e8dfbd6b0782","resolution":{"observed_at":"2026-08-12T11:51:28.407454Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:51:28.392121Z","title":"Weiser and S","venue":null,"work_id":"2e8b46d1-92ec-48ed-9068-df3420906fbd","year":2018},"citing_paper":{"arxiv_id":"2411.17858","last_updated":"2024-11-26T20:15:16Z","snapshot_observed_at":"2026-08-12T11:43:50.939319Z","submitted_at":"2024-11-26T20:15:16Z","title":"Posterior sampling with Adaptive Gaussian Processes in Bayesian parameter identification","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T11:51:28.298143Z"},"links":{"citing_paper":"/paper/2411.17858"},"observation_digest":"sha256:cac5e84706964a725661d053790e832ac7f822a3592bb7a06bb6875c3a386e3d","observation_id":"599b624c-ee1a-4afa-ba75-1046b64e7c2c","resolution":{"observed_at":"2026-08-12T11:51:28.395808Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:51:28.380814Z","title":null,"venue":null,"work_id":"e2d4d4d0-6722-4b47-93c4-671cd0b49f59","year":2017},"citing_paper":{"arxiv_id":"2411.17858","last_updated":"2024-11-26T20:15:16Z","snapshot_observed_at":"2026-08-12T11:43:50.939319Z","submitted_at":"2024-11-26T20:15:16Z","title":"Posterior sampling with Adaptive Gaussian Processes in Bayesian parameter identification","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T11:51:28.301914Z"},"links":{"citing_paper":"/paper/2411.17858"},"observation_digest":"sha256:c207c807f0bc8344e4c967dba7c30d525c17583412735ded0328907f44e69a5d","observation_id":"66c018b9-1745-449f-84e8-d74eb47dc02c","resolution":{"observed_at":"2026-08-12T11:51:28.384477Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:51:28.369028Z","title":null,"venue":null,"work_id":"6adeb52e-eb87-4c66-96f8-8842319f997e","year":2016},"citing_paper":{"arxiv_id":"2411.17858","last_updated":"2024-11-26T20:15:16Z","snapshot_observed_at":"2026-08-12T11:43:50.939319Z","submitted_at":"2024-11-26T20:15:16Z","title":"Posterior sampling with Adaptive Gaussian Processes in Bayesian parameter identification","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T11:51:28.305339Z"},"links":{"citing_paper":"/paper/2411.17858"},"observation_digest":"sha256:c46715ce4da0a415c491c948a80027cd2b921f62c14a47d84bb3f524434b320e","observation_id":"02167a97-ddd7-4e5a-9761-8890949237d1","resolution":{"observed_at":"2026-08-12T11:51:28.372784Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:51:28.357178Z","title":null,"venue":null,"work_id":"55a2aba7-933e-4852-8d81-db2c03503754","year":1997},"citing_paper":{"arxiv_id":"2411.17858","last_updated":"2024-11-26T20:15:16Z","snapshot_observed_at":"2026-08-12T11:43:50.939319Z","submitted_at":"2024-11-26T20:15:16Z","title":"Posterior sampling with Adaptive Gaussian Processes in Bayesian parameter identification","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T11:51:28.308926Z"},"links":{"citing_paper":"/paper/2411.17858"},"observation_digest":"sha256:7a39c24901bf016eb4a206594c2dd42aa8c6215e7400d6bc6d9b2486f0505005","observation_id":"dc7737a6-9a31-4fb0-818c-c54d62343a89","resolution":{"observed_at":"2026-08-12T11:51:28.361026Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:51:28.343103Z","title":"´Alvarez, L","venue":null,"work_id":"66a01e97-b8ea-4515-a39c-3264e7044da3","year":2012},"citing_paper":{"arxiv_id":"2411.17858","last_updated":"2024-11-26T20:15:16Z","snapshot_observed_at":"2026-08-12T11:43:50.939319Z","submitted_at":"2024-11-26T20:15:16Z","title":"Posterior sampling with Adaptive Gaussian Processes in Bayesian parameter identification","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T11:51:28.312515Z"},"links":{"citing_paper":"/paper/2411.17858"},"observation_digest":"sha256:6fe5beff015c120fec587f9b1b199d7adaca3caac1b47e4453c936d6618f7eef","observation_id":"609a7e33-ba68-4798-9080-98a5c9b9e5bb","resolution":{"observed_at":"2026-08-12T11:51:28.348897Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.17858","last_updated":"2024-11-26T20:15:16Z","latest_version":1,"primary_category":"math.NA","snapshot_observed_at":"2026-08-12T11:43:50.939319Z","submitted_at":"2024-11-26T20:15:16Z","title":"Posterior sampling with Adaptive Gaussian Processes in Bayesian parameter identification"},"reference_resolution":{"displayed":36,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":0,"verified_fuzzy":27},"total_outbound_references":36},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2411.17858."}