{"as_of":"2026-08-13T06:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a8dcff567037467bce8fd425c82f53e8ed5334ebedd3ed6efc945dd5c71a610d","coverage":[{"denominator":20,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":20,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T13:10:23.191464Z","state":"measured"},{"denominator":20,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":20,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2411.16447/citation-record","integrity":"/paper/2411.16447/integrity","json":"/paper/2411.16447/citation-record.json","paper":"/paper/2411.16447"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T13:10:23.468980Z","title":"Gehlen, Probabilistische Lebensdauerbemessung von Stahlbetonbauwerken – Zu- verl¨ assigkeitsbetrachtungen zur wirksamen Vermeidung von Bewehrungskorrosion","venue":null,"work_id":"82823de5-c5ed-4eb5-9d4f-87498049177c","year":2000},"citing_paper":{"arxiv_id":"2411.16447","last_updated":"2024-11-25T14:51:34Z","snapshot_observed_at":"2026-08-12T13:03:43.352948Z","submitted_at":"2024-11-25T14:51:34Z","title":"Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T13:10:23.130166Z"},"links":{"citing_paper":"/paper/2411.16447"},"observation_digest":"sha256:5ae7958b160e5df3544e5a2c726db33718793be92b2c59cabb376d5372374e72","observation_id":"580c9470-40d2-408a-8781-4f26748bd61d","resolution":{"observed_at":"2026-08-12T13:10:23.472346Z","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":"2026-08-12T13:10:23.458603Z","title":"Holst, Korrosionsmonitoring und Bruchortung vorgespannter Zugglieder in Bauwerken","venue":null,"work_id":"c0f98147-21ab-4545-8641-c93461891568","year":2007},"citing_paper":{"arxiv_id":"2411.16447","last_updated":"2024-11-25T14:51:34Z","snapshot_observed_at":"2026-08-12T13:03:43.352948Z","submitted_at":"2024-11-25T14:51:34Z","title":"Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T13:10:23.133389Z"},"links":{"citing_paper":"/paper/2411.16447"},"observation_digest":"sha256:44981284fe81b36f6d6234626fdbffdacc1559b32dd4061bd0362d12e91ac394","observation_id":"5d5f671c-e488-4e55-8e0f-2bb665651812","resolution":{"observed_at":"2026-08-12T13:10:23.462519Z","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":"2026-08-12T13:10:23.448095Z","title":"Monitoring von Betonbauwerken: Sensoren, Methoden, Erfahrungen,","venue":null,"work_id":"78334edf-b88c-4f2d-85e3-406b213230fb","year":2006},"citing_paper":{"arxiv_id":"2411.16447","last_updated":"2024-11-25T14:51:34Z","snapshot_observed_at":"2026-08-12T13:03:43.352948Z","submitted_at":"2024-11-25T14:51:34Z","title":"Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T13:10:23.136571Z"},"links":{"citing_paper":"/paper/2411.16447"},"observation_digest":"sha256:8d6fee4935a01c80f1f4d34648a2704efdb2e655c0f8e6076dfce44fdc382ac2","observation_id":"c2cdc5e8-a17a-4e86-9211-154cf88075d8","resolution":{"observed_at":"2026-08-12T13:10:23.452115Z","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":"2026-08-12T13:10:23.437045Z","title":"Korrosionsmonitoring von stahlbetonbauwerken mit einem funkbasierten drahtsensor,","venue":null,"work_id":"6ba268f9-2869-4f3b-b98b-370733eb3694","year":2015},"citing_paper":{"arxiv_id":"2411.16447","last_updated":"2024-11-25T14:51:34Z","snapshot_observed_at":"2026-08-12T13:03:43.352948Z","submitted_at":"2024-11-25T14:51:34Z","title":"Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T13:10:23.139429Z"},"links":{"citing_paper":"/paper/2411.16447"},"observation_digest":"sha256:6444faf957a7a3c4e69dcca1f12fca0fe89959c3ead3992af4fb865a6d263fa1","observation_id":"a9b832cd-140a-424f-9e02-e24e63564f5b","resolution":{"observed_at":"2026-08-12T13:10:23.440665Z","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":"2026-08-12T13:10:23.426649Z","title":"Korrosionsmonitoring von stahlbetonbauwerken als element des lebensdauermanagements,","venue":null,"work_id":"c85ac908-8909-4931-9422-9c2b9e7141a3","year":2010},"citing_paper":{"arxiv_id":"2411.16447","last_updated":"2024-11-25T14:51:34Z","snapshot_observed_at":"2026-08-12T13:03:43.352948Z","submitted_at":"2024-11-25T14:51:34Z","title":"Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T13:10:23.142732Z"},"links":{"citing_paper":"/paper/2411.16447"},"observation_digest":"sha256:6d61a20ddef7f0928f2b550e6c1df8284602babb2ccc32e60c05185f53cc3c12","observation_id":"306ce3bf-f157-4e44-9c85-fb5e7313114f","resolution":{"observed_at":"2026-08-12T13:10:23.430806Z","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":"2026-08-12T13:10:23.416520Z","title":"BA W - Merkblatt: Dauerhaftigkeitsbemessung bei Carbon- atisierung und Chlorideinwirkung (MDCC)","venue":null,"work_id":"d87c1fd9-97c9-4c86-bdf4-8020bae35f90","year":null},"citing_paper":{"arxiv_id":"2411.16447","last_updated":"2024-11-25T14:51:34Z","snapshot_observed_at":"2026-08-12T13:03:43.352948Z","submitted_at":"2024-11-25T14:51:34Z","title":"Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T13:10:23.145734Z"},"links":{"citing_paper":"/paper/2411.16447"},"observation_digest":"sha256:6a40a40c30653348b3d68606bf36a5f00743bf0e74d12d967054ad3b78936726","observation_id":"4b9a046b-57bc-4eee-8311-8dd9abd5f3c3","resolution":{"observed_at":"2026-08-12T13:10:23.419678Z","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":"2026-08-12T13:10:23.406761Z","title":"Chloride transport in concrete: theory and application,","venue":null,"work_id":"2a7bbc86-bd7a-4a1a-ba76-cd1bf68cd56c","year":1994},"citing_paper":{"arxiv_id":"2411.16447","last_updated":"2024-11-25T14:51:34Z","snapshot_observed_at":"2026-08-12T13:03:43.352948Z","submitted_at":"2024-11-25T14:51:34Z","title":"Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T13:10:23.149122Z"},"links":{"citing_paper":"/paper/2411.16447"},"observation_digest":"sha256:31c121910dfafcdb569f7a2816cea14714b0ebcec061e832fdb7d1c986abf7c9","observation_id":"1cfb6323-af3a-45a6-a0d0-361876ef2dd1","resolution":{"observed_at":"2026-08-12T13:10:23.409944Z","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":"2026-08-12T13:10:23.396961Z","title":"Lausanne, Switzerland: CEB Bulletin No","venue":null,"work_id":"ddb6bb46-5bf9-42b9-82b7-1aef7e018030","year":1997},"citing_paper":{"arxiv_id":"2411.16447","last_updated":"2024-11-25T14:51:34Z","snapshot_observed_at":"2026-08-12T13:03:43.352948Z","submitted_at":"2024-11-25T14:51:34Z","title":"Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T13:10:23.153014Z"},"links":{"citing_paper":"/paper/2411.16447"},"observation_digest":"sha256:ac731275c7c097bd3e3b7e6698506890ba00bf22dbc1244a2e9e6854edcf8c58","observation_id":"f8416a63-d32e-45b7-9f56-a1bfe7655ff7","resolution":{"observed_at":"2026-08-12T13:10:23.400210Z","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":"2026-08-12T13:10:23.155812Z","title":"Bayesian Optimization: Open source constrained global optimization tool for Python,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2411.16447","last_updated":"2024-11-25T14:51:34Z","snapshot_observed_at":"2026-08-12T13:03:43.352948Z","submitted_at":"2024-11-25T14:51:34Z","title":"Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T13:10:23.155812Z"},"links":{"citing_paper":"/paper/2411.16447"},"observation_digest":"sha256:7a6548d0554b2a762907e9607bcee73dff2faa91d6794a159ae7f25dc7bfddc5","observation_id":"893f7f45-2d3a-47fb-b984-aac13e79e474","resolution":{"observed_at":"2026-08-12T13:10:23.155812Z","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":"2026-08-12T13:10:23.381226Z","title":"Goodfellow, Y","venue":null,"work_id":"d926640b-a4b9-4b3a-bfc8-1963ec997ce6","year":2016},"citing_paper":{"arxiv_id":"2411.16447","last_updated":"2024-11-25T14:51:34Z","snapshot_observed_at":"2026-08-12T13:03:43.352948Z","submitted_at":"2024-11-25T14:51:34Z","title":"Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T13:10:23.159527Z"},"links":{"citing_paper":"/paper/2411.16447"},"observation_digest":"sha256:0128cc5fed69987e9c28d19cce566f2b0ca4946fcaaf7e0c06534c36e4000d86","observation_id":"37ef3491-24bd-4103-ba25-47587de5a305","resolution":{"observed_at":"2026-08-12T13:10:23.385446Z","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":"2026-08-12T13:10:23.372126Z","title":"DIN EN 12390-11:2015-11, Pr¨ ufung von Festbeton - Teil 11: Bestimmung des Chloridwiderstandes von Beton - Einseitig gerichtete Diffusion; Deutsche Fassung EN 12390-11:2015","venue":null,"work_id":"40589827-2599-4a04-b071-cd5c58e3a1ba","year":2015},"citing_paper":{"arxiv_id":"2411.16447","last_updated":"2024-11-25T14:51:34Z","snapshot_observed_at":"2026-08-12T13:03:43.352948Z","submitted_at":"2024-11-25T14:51:34Z","title":"Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T13:10:23.162330Z"},"links":{"citing_paper":"/paper/2411.16447"},"observation_digest":"sha256:4bf466aa164fff5e7189fec692192f0bc3ada066f91901482d682d702739b53a","observation_id":"670e67e4-ba8f-4953-a0a6-0f56c2a2c6ae","resolution":{"observed_at":"2026-08-12T13:10:23.375380Z","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":"2026-08-12T13:10:23.362305Z","title":"Monte carlo and quasi-monte carlo sampling","venue":null,"work_id":"acc9e963-b500-47ea-9bd6-31db06538646","year":2024},"citing_paper":{"arxiv_id":"2411.16447","last_updated":"2024-11-25T14:51:34Z","snapshot_observed_at":"2026-08-12T13:03:43.352948Z","submitted_at":"2024-11-25T14:51:34Z","title":"Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T13:10:23.165107Z"},"links":{"citing_paper":"/paper/2411.16447"},"observation_digest":"sha256:4e892436c2a642673de6b34302f49d0f54cdab9d44708afc6765b321609f939e","observation_id":"55e58adc-046b-4c30-a060-4312449c42f8","resolution":{"observed_at":"2026-08-12T13:10:23.365544Z","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":"2026-08-12T13:10:23.352098Z","title":null,"venue":null,"work_id":"49bc85a3-01d6-4f01-8d7e-917db2ceb2b2","year":null},"citing_paper":{"arxiv_id":"2411.16447","last_updated":"2024-11-25T14:51:34Z","snapshot_observed_at":"2026-08-12T13:03:43.352948Z","submitted_at":"2024-11-25T14:51:34Z","title":"Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T13:10:23.169356Z"},"links":{"citing_paper":"/paper/2411.16447"},"observation_digest":"sha256:5fe57a409fa393e3eee821b96b3fa72c01c280e347ad9f06f5e51a833c950c23","observation_id":"32d2e57c-0847-4d9f-bdd7-82b386d0d343","resolution":{"observed_at":"2026-08-12T13:10:23.356533Z","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":"2026-08-12T13:10:23.342990Z","title":"The Sobol sampling algorithm ensures that the points are distributed uniformly, covering the range for each input parameter effectively","venue":null,"work_id":"d41f0b5e-6fc0-4988-b533-eb59424930bc","year":null},"citing_paper":{"arxiv_id":"2411.16447","last_updated":"2024-11-25T14:51:34Z","snapshot_observed_at":"2026-08-12T13:03:43.352948Z","submitted_at":"2024-11-25T14:51:34Z","title":"Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T13:10:23.172273Z"},"links":{"citing_paper":"/paper/2411.16447"},"observation_digest":"sha256:10338a658669d550c54dc555c4394de5d0221ad83ac759a59a4d43ab2f322196","observation_id":"6100faaa-b7c8-4574-92c1-ebdd89366323","resolution":{"observed_at":"2026-08-12T13:10:23.346431Z","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":"2026-08-12T13:10:23.333280Z","title":null,"venue":null,"work_id":"1883e7ea-3558-4fad-a375-69ad73ae1873","year":null},"citing_paper":{"arxiv_id":"2411.16447","last_updated":"2024-11-25T14:51:34Z","snapshot_observed_at":"2026-08-12T13:03:43.352948Z","submitted_at":"2024-11-25T14:51:34Z","title":"Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T13:10:23.175254Z"},"links":{"citing_paper":"/paper/2411.16447"},"observation_digest":"sha256:1a0782a425ab63719375981be267cc6aa2002ce626b1c76904f13c247a1432b2","observation_id":"463687fd-d1c2-4b9d-8df5-e12a09e93835","resolution":{"observed_at":"2026-08-12T13:10:23.336777Z","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":"2026-08-12T13:10:23.322314Z","title":"• Total-order Sobol indices S(j) T for be, Dt, and a, representing the total contribution of each parameter, including all interactions, for the j-th combination of data points","venue":null,"work_id":"62ecb087-1294-4662-acd2-b11f85d86843","year":null},"citing_paper":{"arxiv_id":"2411.16447","last_updated":"2024-11-25T14:51:34Z","snapshot_observed_at":"2026-08-12T13:03:43.352948Z","submitted_at":"2024-11-25T14:51:34Z","title":"Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T13:10:23.178098Z"},"links":{"citing_paper":"/paper/2411.16447"},"observation_digest":"sha256:85443bb8728ff892e37ab30df3cc452911fbd1b9c6f11f60fe4b994d63340078","observation_id":"573d5f76-4c12-48b8-bf5c-a96c09dc6627","resolution":{"observed_at":"2026-08-12T13:10:23.326119Z","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":"2026-08-12T13:10:23.313255Z","title":"• Xi represents the i-th input parameter ( be, Dt, or a)","venue":null,"work_id":"c81989f3-43ef-4f57-912e-8192e2f737ee","year":null},"citing_paper":{"arxiv_id":"2411.16447","last_updated":"2024-11-25T14:51:34Z","snapshot_observed_at":"2026-08-12T13:03:43.352948Z","submitted_at":"2024-11-25T14:51:34Z","title":"Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T13:10:23.181173Z"},"links":{"citing_paper":"/paper/2411.16447"},"observation_digest":"sha256:b083f3c23cc92aab17ecce69e039f40cd469aeebe4a9685f29b102a4d704399a","observation_id":"5903e767-365c-49fb-93cd-dda1befb97f1","resolution":{"observed_at":"2026-08-12T13:10:23.316265Z","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":"2026-08-12T13:10:23.300944Z","title":"• m is the total number of combinations of x, t, and TIST as defined in Table 2","venue":null,"work_id":"616c4c65-0cc2-448b-9154-6ae7fcdcd35d","year":null},"citing_paper":{"arxiv_id":"2411.16447","last_updated":"2024-11-25T14:51:34Z","snapshot_observed_at":"2026-08-12T13:03:43.352948Z","submitted_at":"2024-11-25T14:51:34Z","title":"Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T13:10:23.185037Z"},"links":{"citing_paper":"/paper/2411.16447"},"observation_digest":"sha256:926d314719e4246e733f421f92188ccb38aadeaa3453c9c2262b9a9ba2a448fd","observation_id":"f98ccc9e-bc44-43e3-940d-766715302574","resolution":{"observed_at":"2026-08-12T13:10:23.305355Z","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":"2026-08-12T13:10:23.289587Z","title":null,"venue":null,"work_id":"97dc4d71-1bd0-42e8-97b2-fda83ef3398c","year":null},"citing_paper":{"arxiv_id":"2411.16447","last_updated":"2024-11-25T14:51:34Z","snapshot_observed_at":"2026-08-12T13:03:43.352948Z","submitted_at":"2024-11-25T14:51:34Z","title":"Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T13:10:23.188076Z"},"links":{"citing_paper":"/paper/2411.16447"},"observation_digest":"sha256:7efddf375a88051658af905c0bcbcb6caf0cbeefbdc1f4f3debe397a33075997","observation_id":"37b2a93d-3f13-49fa-95aa-069e113d09cb","resolution":{"observed_at":"2026-08-12T13:10:23.293842Z","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":"2054.49067","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T13:10:23.277397Z","title":null,"venue":null,"work_id":"444714f1-98a4-4cd7-9c46-74213f1d2196","year":null},"citing_paper":{"arxiv_id":"2411.16447","last_updated":"2024-11-25T14:51:34Z","snapshot_observed_at":"2026-08-12T13:03:43.352948Z","submitted_at":"2024-11-25T14:51:34Z","title":"Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T13:10:23.191464Z"},"links":{"citing_paper":"/paper/2411.16447"},"observation_digest":"sha256:e69e46fc5378bf92bce92529f7d619daae5ffc9043bf07635d86e19b9b02475b","observation_id":"89439f70-a130-4b78-b59e-4d33b22ddb38","resolution":{"observed_at":"2026-08-12T13:10:23.283499Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"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":"2411.16447","last_updated":"2024-11-25T14:51:34Z","latest_version":1,"primary_category":"cs.CE","snapshot_observed_at":"2026-08-12T13:03:43.352948Z","submitted_at":"2024-11-25T14:51:34Z","title":"Model-based reinforcement corrosion prediction: Continuous calibration with Bayesian optimization and corrosion wire sensor data"},"reference_resolution":{"displayed":20,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":4,"verified_exact":0,"verified_fuzzy":15},"total_outbound_references":20},"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 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2411.16447."}