{"as_of":"2026-08-09T22:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:803620c813129955acac2c0916d9a1b7c226b18640856c13b5c1f5d8712b287a","coverage":[{"denominator":193,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T05:06:25.398704Z","state":"measured"},{"denominator":100,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":100,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2608.05642/citation-record","integrity":"/paper/2608.05642/integrity","json":"/paper/2608.05642/citation-record.json","paper":"/paper/2608.05642"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.31234/osf.io/d4wat","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:41.578261Z","title":"Humans monitor learning progress in curiosity-driven exploration , url=","venue":null,"work_id":"68a8ce22-b438-40b1-b322-a151e8892451","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.099612Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:6068aa543a18931684c6530cfb5fb315820d4e22b81e3e74cfbe30bb9a00ed12","observation_id":"90b2a1a2-5055-41ad-9b12-9866b5fb85aa","resolution":{"observed_at":"2026-08-08T05:08:41.582393Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T05:06:25.103703Z","title":"and Hunnius, Sabine , year=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.103703Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:7010924344062becc8eca8b3d309c519e9efcb4fdf4485f129ddaadd9ef4f7f9","observation_id":"950fb019-7dfa-4408-a4eb-c649d9d89503","resolution":{"observed_at":"2026-08-08T05:06:25.103703Z","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":"10.1016/j.tics.2024.02.001","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:41.566458Z","title":"and Mars, Rogier B","venue":null,"work_id":"430eac29-8fac-49cf-8393-1c9f4c14ef22","year":2024},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.107075Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:e0eac5697c820557caf9f063ab105b3209a7470f4bf81e8ef481e36a6e73dd53","observation_id":"6158546d-afeb-48c1-b64d-c726abe96ac8","resolution":{"observed_at":"2026-08-08T05:08:41.571214Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T05:06:25.110632Z","title":"Active inference and epistemic value , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.110632Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:b2a86654cb9ba41e2624d8bfe8ffd320556d6aa227360e46b74ffd733f21e1ad","observation_id":"7aab5050-56da-48ae-8ccf-bbf65f771799","resolution":{"observed_at":"2026-08-08T05:06:25.110632Z","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":"2026-08-08T05:06:25.114016Z","title":"and Lin, Marco and Frith, Christopher D","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.114016Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:eaf35c0bde1c85f32becb4c38a3110f2daffeedf71addf885b208fa74c3345cc","observation_id":"bfcc6700-5309-463d-a8a4-e939102dc838","resolution":{"observed_at":"2026-08-08T05:06:25.114016Z","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":"2026-08-08T05:06:25.117542Z","title":"Computational mechanisms of curiosity and goal-directed exploration , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.117542Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:1b0b72451aad4afa82356de435cd06b3c4c7eb143d6cf763d18e9275c32490c2","observation_id":"346ca364-b17a-4a83-b54c-41b6856100d3","resolution":{"observed_at":"2026-08-08T05:06:25.117542Z","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":"2026-08-08T05:06:25.120271Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.120271Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:7d30c9995a70ef360761122723e11643199cd631ee6de428fe48d61936c26799","observation_id":"63fb687b-c402-4402-882c-191e74ac09a6","resolution":{"observed_at":"2026-08-08T05:06:25.120271Z","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":"2026-08-08T05:06:25.122908Z","title":"Modeling the arousal potential of epistemic emotions using Bayesian information gain: a framework for inquiry cycles driven by free energy fluctuations , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.122908Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:ad500e58562e05f2a0c972e7fb3708a8c8c871b487860f6b7fd0fb56e8f75aa5","observation_id":"7037bc46-70e9-4236-8330-2a02d51c6795","resolution":{"observed_at":"2026-08-08T05:06:25.122908Z","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":"10.1162/neco_a_01690","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:41.506218Z","title":"Intrinsic Rewards for Exploration Without Harm From Observational Noise: A Simulation Study Based on the Free Energy Principle , volume=","venue":null,"work_id":"84bffdb6-ac03-4b75-8f3f-fef10fb47ceb","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.125391Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:97d3bdc10264c171349146e2a9fab7198ee1c35686f6db143cde2fb6b255f751","observation_id":"1813ef00-11c5-44c0-95a3-cbae2a529a17","resolution":{"observed_at":"2026-08-08T05:08:41.539230Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T05:06:25.128190Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.128190Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:5f22b8830bec8795954d1f89e5404cfc0680aede15e79f0869096104c8ddefdc","observation_id":"5f653fc3-f5bc-415b-9a91-71b498c80fc8","resolution":{"observed_at":"2026-08-08T05:06:25.128190Z","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":"10.1037/rev0000175","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:41.432716Z","title":null,"venue":null,"work_id":"d6a8d1bb-ca9f-42d1-b056-9e00105de2c8","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.130750Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:63199df582ff506c43af758b401de22e3ed75161a12ad1cf50213acff85fa6ea","observation_id":"8cf293e3-b2ef-473c-9bc4-bd4d0592da87","resolution":{"observed_at":"2026-08-08T05:08:41.494271Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T05:06:25.133159Z","title":"and Oudeyer, Pierre-Yves and Gottlieb, Jacqueline , year=","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.133159Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:9610931658792ef0640ffb35a8be0e66b234576c338370b178e77763656751bc","observation_id":"a7599ce0-4fef-419f-b866-f80019de4db6","resolution":{"observed_at":"2026-08-08T05:06:25.133159Z","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":"10.1016/b978-012619070-0/50035-0","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:41.420338Z","title":null,"venue":null,"work_id":"4a805c61-22d6-48df-b032-91afbf5296a1","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.135752Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:4b88067814155a6ec92ae1a54fe2571c1e969b970fcdc1f0345d2af917ac2124","observation_id":"59bbc397-95fe-49a4-b58b-238cc2477732","resolution":{"observed_at":"2026-08-08T05:08:41.424328Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T05:06:25.138494Z","title":"and Ryan, Richard M","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.138494Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:82d87ef0f10eaee13189ddf44c4b2d2794125482a890382ff5a4c27d8214e45b","observation_id":"2f81da67-fdcf-4be5-9ea4-51a0ba1ff5e4","resolution":{"observed_at":"2026-08-08T05:06:25.138494Z","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":"2026-08-08T05:06:25.141206Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.141206Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:3aaca2dc4006aea41fe3ede0199f56508ddfbb0c3a90cf1c670b1a83a5dde883","observation_id":"d0600246-f2be-49c0-9ed9-7466f1774fd8","resolution":{"observed_at":"2026-08-08T05:06:25.141206Z","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":"10.31234/osf.io/ack8u","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:41.409365Z","title":"Data Analysis and Power Simulations with General Linear Mixed Modelling for Psychophysical Data – A Practical, R-Based Guide , url=","venue":null,"work_id":"d45447c3-962a-4048-8b34-4e194e676274","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.144393Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:125b9fd59093308b952684820094f5383c87b636a34fdaac3aa888c1883913aa","observation_id":"dbc6639f-5635-4333-8d95-725964376dab","resolution":{"observed_at":"2026-08-08T05:08:41.413553Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T05:06:25.147589Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.147589Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:ec456ea19a60109be7495b39041143a792077be4e88ce6342b9aa58e67618bb8","observation_id":"e33f6f27-c2d8-4376-a062-4be0f4a5634c","resolution":{"observed_at":"2026-08-08T05:06:25.147589Z","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":"10.1007/978-981-96-0351-0_10","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T00:03:45.533247Z","title":"Active Continual Learning: On Balancing Knowledge Retention and Learnability , ISBN=","venue":"Lecture notes in computer science","work_id":"b1203558-2b3b-4645-83a9-044ac3a0b168","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.150786Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:fcfbd1bc05c567a6f85131795575e07509405c23c425e0663bbc63dce9fcbdcd","observation_id":"c5bef08b-729c-4377-97f8-7bb3ab1f2f3f","resolution":{"observed_at":"2026-08-08T05:08:41.406555Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41562-018-0467-4","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:41.349105Z","title":"and Schulz, Eric and Speekenbrink, Maarten and Nelson, Jonathan D","venue":null,"work_id":"937dad8b-c5e7-4a23-9946-ab5661c7623b","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.154035Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:4120ed4c663bc5889d67622fca2222274ace4d71169c7ce10399ac6c45093fa1","observation_id":"5ca6adce-c896-423d-92bf-5256c58f339d","resolution":{"observed_at":"2026-08-08T05:08:41.387669Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[{"edge_observation":{"observed_at":"2026-08-08T06:17:50.657716+00:00","source":"paper_reference_links","state":"open"},"event_date":"2020-10-23","event_type":"correction","notice_doi":"10.1038/s41562-020-00958-w","provenance":{"observed_at":"2026-07-11T03:04:06.951428+00:00","source":"crossref","source_record_id":"10.1038/s41562-020-00958-w->10.1038/s41562-018-0467-4:correction"}}],"reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T05:06:25.157278Z","title":"and Gershman, Samuel J","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.157278Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:f4c1e11d8bdf28675005aeaaab2bfd7622420fbe75dc2c01e41cd3ada49accb6","observation_id":"f6e23074-8895-4070-a5aa-bead98365814","resolution":{"observed_at":"2026-08-08T05:06:25.157278Z","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":"2026-08-08T05:06:25.160537Z","title":"Reward Maximization Through Discrete Active Inference , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.160537Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:c74621a65aef992e1565b7e774cee8c1a7888b0bb518d00eb4588db937b3e138","observation_id":"b642dda0-80aa-45f8-8bd2-a3c7c7df5402","resolution":{"observed_at":"2026-08-08T05:06:25.160537Z","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":"2026-08-08T05:06:25.164571Z","title":"Market sense-making in design practice: exploring curiosity, creativity and courage , volume=","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.164571Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:55366789ceaacb75b717eeef528cc320f43c5f1a7099541420fa362d9773c114","observation_id":"093a0488-9f40-4e36-ab15-c981da0e2637","resolution":{"observed_at":"2026-08-08T05:06:25.164571Z","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":"10.1038/s41598-022-19694-4","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:41.233187Z","title":"Capturing, clarifying, and consolidating the curiosity-creativity connection , volume=","venue":null,"work_id":"1b9d48e6-0e7e-4978-930e-0fdba991c8b6","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.167791Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:4eb78c23f4a877f68c7c26ce4b452271e99b5689bf6f0bfb9d0114e707b2a9c8","observation_id":"5c4cfd12-cb1d-4d83-a284-3058e7b07b1e","resolution":{"observed_at":"2026-08-08T05:08:41.318386Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1201/9780429297786-36","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:41.164559Z","title":"Curiosity through courage: Introducing the iterative process to the beginning design student , ISBN=","venue":null,"work_id":"171efad0-da2f-4c64-9b83-ba493d5f941c","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.171045Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:cbea2752e9366b99f25408f5d5e0da3e377d01aaffa98fe216f237e87f20b02a","observation_id":"b3cd2911-e97a-4f94-bbdb-79c44f749bb2","resolution":{"observed_at":"2026-08-08T05:08:41.224856Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T05:06:25.174253Z","title":"What Doesn’t Kill the Cat Makes it Creative: Complex Interplay Between Trait Curiosity and Creativity , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.174253Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:97af771d6a9f1b8b23c66b113e240bce7282b7283af114e01921a2d0a4af06df","observation_id":"af1eba20-1707-4966-a717-58d0d8121d5c","resolution":{"observed_at":"2026-08-08T05:06:25.174253Z","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":"10.1016/j.cobeha.2020.07.015","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:41.146661Z","title":"Cultivating an understanding of curiosity as a seed for creativity , volume=","venue":null,"work_id":"e2224f3f-ce24-4fac-a5da-16319da77693","year":2020},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.177525Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:c5735e248df7d8af3e848c3f2e51199c5a0e157b0dd54a636640d3dc4a71af62","observation_id":"cb59ac84-31af-40b1-a412-08888c617473","resolution":{"observed_at":"2026-08-08T05:08:41.151684Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s10798-021-09724-z","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:41.134300Z","title":"Impact of design thinking in higher education: a multi-actor perspective on problem solving and creativity , volume=","venue":null,"work_id":"97cede25-25de-42ae-aa52-4c856085ff36","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.180651Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:7aaa833ee6c2197770ee137959f4bbf860cf76d74eb0a75c14678ae3259fd8f1","observation_id":"c9b6ebaa-8d44-471d-b890-6674b5ee828e","resolution":{"observed_at":"2026-08-08T05:08:41.138645Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1108/jbs-08-2020-0176","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:41.120929Z","title":"The driving mindsets of innovation: curiosity, creativity and clarity , volume=","venue":null,"work_id":"6f7dbc93-42d5-4ae6-8939-956fd962e85b","year":2020},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.183911Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:f0251e149cf4b3ddb76bc47bcd27110eebbc16340e7a50b76b37116b9e9eeb08","observation_id":"95b23113-aff5-4981-b325-991e9bdad073","resolution":{"observed_at":"2026-08-08T05:08:41.125620Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T05:06:25.187085Z","title":"Innovation and Design in the Age of Artificial Intelligence , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.187085Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:1383def456cb3c833b6b29b06b81042d6dc976ac68e3edaff36ed6c0d39a3bd9","observation_id":"1f162af4-9cee-46c9-8a12-2e00645cf22f","resolution":{"observed_at":"2026-08-08T05:06:25.187085Z","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":"10.1108/jkm-04-2024-0424","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:41.103541Z","title":"Design thinking in action: a quantitative study of design thinking practices in innovation projects , volume=","venue":null,"work_id":"7422fb42-facf-4c9f-9a2b-bcfbaa636dc6","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.190445Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:f81545a96b61babc079309c47b171be52bc0546bd77758f95ad88fca175e4c7a","observation_id":"a265446f-c202-4152-82e8-49ac1a5a6473","resolution":{"observed_at":"2026-08-08T05:08:41.110227Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s10648-019-09495-z","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:41.082707Z","title":"Curiosity and Interest: Emergence and Divergence , volume=","venue":null,"work_id":"6086d722-1a86-4047-aec6-2143597cd0f3","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.193478Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:17085037523798623dd0894b5bdcb6b599d0c6cda5a9dff4d5c8763d6862471d","observation_id":"42ff111b-8038-480b-ab44-a3edd83fa672","resolution":{"observed_at":"2026-08-08T05:08:41.095262Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1037/1089-2680.9.4.342","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:41.063250Z","title":null,"venue":null,"work_id":"9fb928db-fca8-46b4-8f02-db4b3c4f95a8","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.196503Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:9527f9f0729f6ee1ee5989ea6c8fa583593e238843125648549caf9b541a166f","observation_id":"18cae90a-e18e-4d41-8a5d-81763aab6558","resolution":{"observed_at":"2026-08-08T05:08:41.072013Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T05:06:25.199651Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.199651Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:74112edd0f737b5e5573e8978ce6f593040a38fbfed8eb8728ccb4948c9d046f","observation_id":"59f14266-9ab1-4745-9518-f6933613113d","resolution":{"observed_at":"2026-08-08T05:06:25.199651Z","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":"10.1016/j.neuron.2022.05.025","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:40.916535Z","title":"and O’Doherty, John P","venue":null,"work_id":"1bff4242-eaf0-4a01-b019-227f96b109d2","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.202541Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:46cd114150ad192ca1f2a94d5be2ca8d457c8b5db02a5fb5e43fefbf3abf8a68","observation_id":"ff0bda2c-b999-4d04-8ff0-d0908c3abd97","resolution":{"observed_at":"2026-08-08T05:08:41.021078Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s11063-021-10436-7","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:40.754121Z","title":"and Mirnalinee, T","venue":null,"work_id":"a78fb004-5bb4-4115-aa70-e6dc3b1eadde","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.205645Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:226a02d1f0171ce29b559d54da13b6ae26c3ae83bf6310eee0c7d28bcda77530","observation_id":"71378191-9e26-448a-9cf8-9df7009992a1","resolution":{"observed_at":"2026-08-08T05:08:40.799180Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T05:06:25.208780Z","title":"Parameter selection in SVM with RBF kernel function , url=","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.208780Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:f5381ab6ab3f5cb55f52cf33554d2e4dbe36c506200ce426cf66b90025e1071f","observation_id":"d0179aa4-158a-4db9-9923-82294c3122aa","resolution":{"observed_at":"2026-08-08T05:06:25.208780Z","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":"10.5040/9781474280617.ch-006","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:40.741470Z","title":null,"venue":null,"work_id":"a14dcc91-f13d-4170-a317-470c112898dc","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.211870Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:e8ec330c6ffcf5ec3bb8f8edda156d8e2e44659fa37428bf8a78c4043c31b6f9","observation_id":"44a63038-5f39-4270-91ee-8212673339b8","resolution":{"observed_at":"2026-08-08T05:08:40.745319Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T05:06:25.215201Z","title":"The generative dance of design inquiry: Exploring Dewey’s pragmatism for design research , volume=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.215201Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:62f4a2a257aa67a0961da73797b20c382de98f84967fc10b02bbdd7ec7ad9a04","observation_id":"b082f07c-d71f-493c-b9c1-07553a9acc8f","resolution":{"observed_at":"2026-08-08T05:06:25.215201Z","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":"2026-08-08T05:06:25.218237Z","title":"and Dan, Ohad , year=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.218237Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:c9537ab7fc4016fe168f08957eca8f89174d5bd806773d3f7cf7ca048461e74e","observation_id":"207763e0-d4e7-443e-b0c9-d5019eb66b2d","resolution":{"observed_at":"2026-08-08T05:06:25.218237Z","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":"10.1007/978-3-319-73302-9_8","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T00:03:45.533247Z","title":"The Role of Abduction in Production of New Ideas in Design , ISBN=","venue":"Design research foundations","work_id":"2eca794c-af66-41b7-b56b-bb6f0bc156f0","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.221239Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:747885fac0ed9623de70aa40c6bb7afee58e56a37886aa542eb2f04aad82c7df","observation_id":"82d41cb0-1344-41ad-83cb-9e250fbbcaa2","resolution":{"observed_at":"2026-08-08T05:08:40.733032Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1017/dsi.2019.111","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:40.671205Z","title":"Abductive Inferences in Strategic Design Decisions , volume=","venue":null,"work_id":"be7a6fd6-25f3-4c93-9bea-7214cb3aa99d","year":2019},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.224415Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:81ed1226a32c3dc1fed11a3fa8438470187f832ddcfc5f3b54d3625e9a8dc5fd","observation_id":"413495f9-cf2c-442a-98da-ff01b5875def","resolution":{"observed_at":"2026-08-08T05:08:40.714307Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18372/2073-4751.61.14042","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:40.465877Z","title":"Research design process formalization , volume=","venue":null,"work_id":"cfdc4aad-19b6-4e28-996d-158a0bb60d09","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.227546Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:eb6b6c910290b310487b2aa7f193810d8e370faba734d9f0f4b6d874e1882b9a","observation_id":"93cac808-391c-49ff-b990-62e2cba6e549","resolution":{"observed_at":"2026-08-08T05:08:40.576143Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T05:06:25.230743Z","title":"Constrained multiple kernel tracking for human limbs , url=","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.230743Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:fb8ab17faa15c00f2ba616912f8810fcc999b1564652a268ad9056d87e47727a","observation_id":"5302e881-1877-499d-aa0c-74b6785bf72f","resolution":{"observed_at":"2026-08-08T05:06:25.230743Z","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":"2026-08-08T05:06:25.233070Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.233070Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:43d2ebd706d1e1161a453f4e14dd4496919e75a583c6704b7f4a1362fc0dfcca","observation_id":"14b5c34d-f560-49b9-bd80-f58aaf62c201","resolution":{"observed_at":"2026-08-08T05:06:25.233070Z","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":"10.1007/s10648-019-09499-9","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:40.447195Z","title":"Process Account of Curiosity and Interest: A Reward-Learning Perspective , volume=","venue":null,"work_id":"cbb36f51-c1d0-4f32-afad-33c7c7cfa688","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.235698Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:fe283fe7b5d4ea2d11642490682e883d2c44165a6e158152a8c7aebe289d0c18","observation_id":"89d04564-1182-41df-84b9-44b6f3266f52","resolution":{"observed_at":"2026-08-08T05:08:40.451698Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T05:06:25.238329Z","title":"The curious U: Integrating theories linking knowledge and information-seeking behavior , url=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.238329Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:4db4285c33c15fca2641e86667a1214bf3d85041166ed124f7bd1601ad33233c","observation_id":"a5e06669-8fbc-418f-89d5-18b60df2d866","resolution":{"observed_at":"2026-08-08T05:06:25.238329Z","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":"10.1016/j.cobeha.2020.08.005","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:40.427839Z","title":"Why so curious? Quantifying mechanisms of information seeking , volume=","venue":null,"work_id":"ab3e8bae-0aff-42a2-ba6c-4b3700a31fc7","year":2020},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.240920Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:6c31565708f4e848c30a6b94cb15f141eea3e6623563eaf5ecdaa03dec024a35","observation_id":"50a3cdcf-dc49-4300-a749-c6bf9dfdead9","resolution":{"observed_at":"2026-08-08T05:08:40.431651Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s10648-019-09497-x","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:40.416850Z","title":"Homo Curious: Curious or Interested? , volume=","venue":null,"work_id":"18a54e23-fa11-4f22-8f1f-09c6fb947d06","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.243359Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:0bcfe31f7602f76f72c4f95240e6e787ecc931766df21ab9f46ef22ec2708680","observation_id":"aff96a17-60a6-4fd6-9412-e132f7bfc7a1","resolution":{"observed_at":"2026-08-08T05:08:40.420306Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1523/jneurosci.2816-17.2018","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:40.404897Z","title":"and Vandenbroucke, Annelinde R.E","venue":null,"work_id":"a55f5b24-55d2-49a9-add9-34c67b66b6a3","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.245789Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:9d3bccb3638f92fb92686277897278b5d6098f555672a171bb93e72e4c344fe1","observation_id":"4bb98d2d-e5fe-475d-b428-778c31145dcb","resolution":{"observed_at":"2026-08-08T05:08:40.408773Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.cobeha.2020.09.006","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:40.393702Z","title":"The neuroeconomics of epistemic curiosity , volume=","venue":null,"work_id":"89e81915-cdfd-4683-af54-85e39236f7d8","year":2020},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.248372Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:64f5563e128f89b9c0d80d7bd49f01c1b347b7302eaf7c4e83e83c5d5f438b0a","observation_id":"46e4a360-bb88-4b43-b7fc-91d4f23d8c06","resolution":{"observed_at":"2026-08-08T05:08:40.397565Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/jintelligence11060112","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:40.382265Z","title":"and Cleary, Anne M","venue":null,"work_id":"c8cd7303-4f5e-4ad1-b22c-850ce4745cf7","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.250824Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:38d5e5244757805ac34e54f43c95455fb05530d9a4a670c80a737b7e21bb3efe","observation_id":"f77c9461-215b-4bf1-950f-072e0652b1ca","resolution":{"observed_at":"2026-08-08T05:08:40.386175Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.neuroimage.2018.07.038","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:40.362653Z","title":"From relief to surprise: Dual control of epistemic curiosity in the human brain , volume=","venue":null,"work_id":"d9a5f824-48e5-43c0-bc55-b00453aee98a","year":2018},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.253956Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:0dbe2fdabaa6ead3887c7d7f79473c67713991f209055b213ab45e22c9aa801a","observation_id":"2170d3dd-beda-4c3f-899e-aad9ff9b21ae","resolution":{"observed_at":"2026-08-08T05:08:40.371113Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.tins.2023.10.002","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:40.345194Z","title":"Curiosity-driven exploration: foundations in neuroscience and computational modeling , volume=","venue":null,"work_id":"70156ff1-45d7-465c-a43a-c814440b17e8","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.257113Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:2ac4e0dba25f6e62d40a0379a2a78149ed2dca23c06b1b21cf4a11987f287cef","observation_id":"6480bc98-9867-4268-8c97-a8297429005f","resolution":{"observed_at":"2026-08-08T05:08:40.351535Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.2304/elea.2014.11.5.510","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:40.261945Z","title":"Questions, Curiosity and the Inquiry Cycle , volume=","venue":null,"work_id":"ccfa04b2-7d8e-40bd-b92a-118af62334cf","year":2014},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.260631Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:133d8afc9c394f1c2bf50ab46553536e772199604b86b31e5b7fb7f3f561a104","observation_id":"58e6c02e-ff7b-49a2-8670-f00ae1eb0cc2","resolution":{"observed_at":"2026-08-08T05:08:40.334459Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T05:06:25.263861Z","title":"Curiosity and open inquiry learning , volume=","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.263861Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:85319f6732f7c71455ee353873a87971962450a464a6602ad6ed98f540ac3460","observation_id":"1dd69db5-41cd-4efd-b894-8e92c0f4d7c0","resolution":{"observed_at":"2026-08-08T05:06:25.263861Z","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":"10.1038/186763c0","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:40.100642Z","title":"1960 , month=","venue":null,"work_id":"244888d1-38d6-41b2-90ab-30266621c65b","year":1960},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.266838Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:6db46138f6b285ee596236b7bc801195e6c166fbb66375f5ee505cff8b90a29b","observation_id":"a2b08bb9-badf-4c2b-b5a2-c0a7fd1fc81f","resolution":{"observed_at":"2026-08-08T05:08:40.175651Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1177/1937586720945176","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:39.930159Z","title":"Practice-Based Research Methods and Tools: Introducing the Design Diagnostic , volume=","venue":null,"work_id":"cc8e5160-d496-4769-afd3-b5610e531e40","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.270151Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:9505e63c8a7b3baca63f704798039f0e8d9f2ef5e4bad2a93a6d531bdb86d731","observation_id":"e14e1a08-5850-43bc-bb26-cf00bdf7d82b","resolution":{"observed_at":"2026-08-08T05:08:39.963001Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.4324/9781315213613","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:39.918812Z","title":"Making Sense of Field Research: A Practical Guide for Information Designers , ISBN=","venue":null,"work_id":"909487d5-8fdd-490d-910b-0c485c1bb43f","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.273335Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:6a0a7d5577696463eb8de17efa50375e70687f7c6f19ac23f1766ac2aa518157","observation_id":"fa490890-5329-4093-b950-6b67101144a4","resolution":{"observed_at":"2026-08-08T05:08:39.922950Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1111/jade.12214","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:39.906746Z","title":"Design as a Mode of Inquiry in Design Pedagogy and Design Thinking , volume=","venue":null,"work_id":"96c3246d-6860-450f-a983-9f1ecdd2c630","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.276631Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:ab3cec8ec25a10b16167995e62abb1b21393a6fa9ef9699fc910d03536dc1623","observation_id":"b20c7239-59cb-438d-8ce7-70797cafbc47","resolution":{"observed_at":"2026-08-08T05:08:39.911567Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1037/emo0000578","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:39.895841Z","title":"Surprised–curious–confused: Epistemic emotions and knowledge exploration","venue":null,"work_id":"ad16dfc7-fcbe-4ac9-af4b-85ed0097eb62","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.280368Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:eb333917efc7c395be12f09b347652958004203692881ae2c932408b2d277825","observation_id":"234d05c3-5f49-4406-83c4-d9514d2b9649","resolution":{"observed_at":"2026-08-08T05:08:39.899711Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.36312/ijece.v3i1.1918","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:39.885043Z","title":"and Suma, I Ketut and Subagia, I Wayan , year=","venue":null,"work_id":"6d74b752-56be-4c02-9eb9-870e18064736","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.283550Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:f6346db61cc7f7d0892eb10a45a6b30a459d83676782d1ff8d75117dd53f2ccb","observation_id":"2780d980-7435-4baf-93b3-d03ef045e9c9","resolution":{"observed_at":"2026-08-08T05:08:39.889057Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T05:06:25.286792Z","title":"and Aslin, Richard N","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.286792Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:2541f13da3aa88941b949cb664bac61a4cca4d0e3794df5e3c3c4af1773a46fe","observation_id":"a890b843-5dbf-4bf1-84b3-0aeb50fa46ff","resolution":{"observed_at":"2026-08-08T05:06:25.286792Z","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":"2026-08-08T05:06:25.289973Z","title":"Method in their madness: Explaining how designers think and act through the cognitive co-evolution model , volume=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.289973Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:67f1afe77eb1d93105496aa5abce2b33c06c0f88411e055057d93420fbf8366b","observation_id":"1a469f2f-16d4-4bc1-bf34-54d4cbabf6b3","resolution":{"observed_at":"2026-08-08T05:06:25.289973Z","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":"10.1016/j.destud.2017.10.004","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:39.867131Z","title":"Exploring uncertainty perception as a driver of design activity , volume=","venue":null,"work_id":"c04f7c82-1f88-48a4-ad65-3edbc0535e5b","year":2017},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.292795Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:687e589f0900b8034f667e2b4bbe058300ca83661a617f422111f31f636c63a8","observation_id":"8c7e5900-7b2a-42b8-b81a-cda5d25551ce","resolution":{"observed_at":"2026-08-08T05:08:39.871305Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.destud.2015.10.004","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:39.852876Z","title":"and Hutchinson, Alisa , year=","venue":null,"work_id":"8b1aee92-fd9a-4914-8d16-3f930f40e9ad","year":2015},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.295876Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:7d2f3421bd7c92970acd764f3fbbc920a1a2ce58d4b974452bb480777ccc15c8","observation_id":"64affd57-4881-4cd8-8000-fff6095215ec","resolution":{"observed_at":"2026-08-08T05:08:39.858701Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.31234/osf.io/3p8f6","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:39.798299Z","title":"Computational Theories of Curiosity-Driven Learning , journal=","venue":null,"work_id":"14dd0856-8f34-48f2-a2a9-9a1b791fc372","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.298801Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:ba5a3cdcc6b28f8a2c716f485a2c803aa6995ec418ef2eba04f780a6e0a3dd67","observation_id":"8fba9d75-6e66-4f1d-ba3d-08cea4fdd5ba","resolution":{"observed_at":"2026-08-08T05:08:39.842024Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.26503/dl.v2017i1.923","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:39.758487Z","title":"Modeling and Designing for Key Elements of Curiosity: Risking Failure, Valuing Questions , ISSN=","venue":null,"work_id":"828bd2ca-7dac-4c9c-81ba-5492e466cf9d","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.301696Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:e48716737b09b3041a3a64bdc01e75f1c917b68e0b40d1335035663f12ba504a","observation_id":"a720f5ae-abb6-4df7-b0d8-a699d08224f9","resolution":{"observed_at":"2026-08-08T05:08:39.763135Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T05:06:25.304678Z","title":"Thanks, but no-thanks for the feedback , volume=","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.304678Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:b3428f16e8acaae0980ce31f3486ac98ab8a7068c25118c78e5329439cb05c7d","observation_id":"4e433451-27ab-457c-b918-7a0c3050501e","resolution":{"observed_at":"2026-08-08T05:06:25.304678Z","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":"10.17762/msea.v71i2.83","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:39.665306Z","title":"Unspecified title , volume=","venue":null,"work_id":"0ee66769-0548-4a38-87e5-c945091393b2","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.307628Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:18a8566b5ace076acab6643d4545c92d8d189d385654f0b8da92771b49b3f76e","observation_id":"4877d1d0-6dcd-4674-8f23-9a4fa444358e","resolution":{"observed_at":"2026-08-08T05:08:39.735163Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1177/0018720819883500","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:39.648752Z","title":"and Beckerle, Philipp and Moreno, Juan C","venue":null,"work_id":"6232cd36-2e65-4785-b6fe-d8871c6e72aa","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.310954Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:2b04b9d892ed8a7aee001daa349bebcd9e8678c82da13b6d9877dac87d594376","observation_id":"218d18c0-f998-48de-b2d3-cbe2bb0e3097","resolution":{"observed_at":"2026-08-08T05:08:39.652632Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/geront/gnz163","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:39.637447Z","title":"The Importance of User Involvement: A Systematic Review of Involving Older Users in Technology Design , volume=","venue":null,"work_id":"41b43713-901a-4043-8d9e-27c21a4e5721","year":2019},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.314087Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:94e620c1d106ec5d38e01906a705b7f425355a5cbbba3c886a583bbd257d6362","observation_id":"1453c591-f63d-4c7e-b0fe-71961a929d7a","resolution":{"observed_at":"2026-08-08T05:08:39.641776Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s10648-020-09539-9","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:39.626581Z","title":"and Rotgans, Jerome I","venue":null,"work_id":"fe53086f-5595-417c-8787-183531c8f79e","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.317392Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:f52972d70fd8d6e558e0c0603c9b755224553ce0163d4fd38e0241f8d3654633","observation_id":"e9bc3c40-eadd-47f5-bcac-3e1f20fa7f59","resolution":{"observed_at":"2026-08-08T05:08:39.630604Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T05:06:25.320249Z","title":"Ann and Hidi, Suzanne E","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.320249Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:190f3d2eaf939afbb5ae7daab8c430bfc1daf5ff9958a2bfde9c95aa8dd82602","observation_id":"154a1466-a1eb-418d-afb9-cdfda6ccb040","resolution":{"observed_at":"2026-08-08T05:06:25.320249Z","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.pone.0256632","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:39.615822Z","title":null,"venue":null,"work_id":"42e82e75-07c2-44b0-965b-80382a2142a2","year":2021},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.323236Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:23438c071194afc7320721ca806f30fecde78a1dc157e8e70f18cfa9e335739b","observation_id":"1260b75c-8401-4fb5-94dd-d64924ff6b58","resolution":{"observed_at":"2026-08-08T05:08:39.619810Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1287/orsc.3.3.321","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:39.604643Z","title":null,"venue":null,"work_id":"a19eac5b-0858-4f2a-aa04-54fb17c7818b","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.326232Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:7fb7a1b84073964e42c8bd5bba744e36877e88e0d55a5fb761813bfce12dc3ce","observation_id":"ccac2a2b-7530-4ba3-ad1d-ec572acc588d","resolution":{"observed_at":"2026-08-08T05:08:39.608766Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1108/ejtd-06-2023-0092","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:39.588748Z","title":"The effects of expertise diversity on efficiency and creativity in healthcare project teams , volume=","venue":null,"work_id":"ad87852b-58e6-4d54-a924-ed80dc9f9e9d","year":2023},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.329371Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:83204f12d553586ebd654111ca4c2bf057b75844d7c75dc65f208c771f4d2b9c","observation_id":"50054a20-c173-4aee-8975-26ffb6462735","resolution":{"observed_at":"2026-08-08T05:08:39.596614Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s10726-008-9105-2","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:39.570821Z","title":"and Briggs, Robert O","venue":null,"work_id":"b27c2c92-121d-41cb-b113-1e89567480f3","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.332354Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:4b26d1e35fddc45c8495c50b656ea3bf1349aecb387d49dc232d00865bb9a0be","observation_id":"bea7339b-0b19-4d94-a600-a7a4a03df399","resolution":{"observed_at":"2026-08-08T05:08:39.579978Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1037/aca0000485","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:39.550774Z","title":"It is not always better to have more ideas: Serial order and the trade-off between fluency and elaboration in divergent thinking tasks","venue":null,"work_id":"bb84a806-a969-4041-a3b1-7bc5d13385f1","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":78,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.335733Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:c54fe6e343e272c8adfedcf74b8a5e5d63c3985063029f336bc6b469e0ed1008","observation_id":"f9437b4e-3cb5-4252-b410-d3a68494997c","resolution":{"observed_at":"2026-08-08T05:08:39.556988Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1111/caim.12543","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:39.515052Z","title":"How do you frame ill‐defined problems? A study on creative logics in action , volume=","venue":null,"work_id":"6f4e91d8-e8a2-4fd7-993d-bb26b737aee0","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":79,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.338228Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:5f9048fe0ff1440299b2d197fce08da83d05d9c10ee968e8ff818b2379c04e5b","observation_id":"26fe3ecd-d7f0-4650-991f-a94084ba105b","resolution":{"observed_at":"2026-08-08T05:08:39.543197Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T05:06:25.340865Z","title":"and Heidari, S","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":80,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.340865Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:029936a85b684d2dd0350a8e713ffed49fef81d220f327c43432d62556296d26","observation_id":"198e9772-6ba2-4dbf-973a-939a7030b4f9","resolution":{"observed_at":"2026-08-08T05:06:25.340865Z","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":"10.1017/dsi.2019.39","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:39.396469Z","title":"Reframing the Design Process: Integrating Goals, Methods and Manifestation into the Co-Evolution Model , volume=","venue":null,"work_id":"445469fe-a5e5-4631-a2da-0ab792df0171","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":81,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.343370Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:1cd7b4e561e5632c79302b84034a2acc7e2564854750a412a14286828672eb28","observation_id":"27825116-3b35-43bb-929e-a9cee5418a50","resolution":{"observed_at":"2026-08-08T05:08:39.455736Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s10648-023-09766-w","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:39.299078Z","title":null,"venue":null,"work_id":"02abc7b1-0715-4641-bbdf-856c998f9142","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.345820Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:3f87619b23f09390f74d1bdb1542d8602b4d3a04a753a9e065fc7220e321015c","observation_id":"bd2afdda-d3ce-4fe7-9004-24c73befa0a4","resolution":{"observed_at":"2026-08-08T05:08:39.341353Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T05:06:25.348271Z","title":"and Kennedy, Gregor and Lockyer, Lori and Arguel, Amael and Pachman, Mariya , year=","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":83,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.348271Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:4e7d90ae10eabff263d21211a794ca516abc633ebf674e39f0b87f2ef4a5fbf0","observation_id":"846a9dbd-5b8d-40ca-8b3d-82355c15265f","resolution":{"observed_at":"2026-08-08T05:06:25.348271Z","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":"10.1002/job.337","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:39.267057Z","title":"and Stinglhamber, Florence and Shanock, Linda and Randall, Amanda T","venue":null,"work_id":"99fdae5e-ccbb-4677-96b5-43bd8bd769c8","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":84,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.350764Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:163b1e1b91ea1774c87d02e2c24e3ca160c8d8e9665a9f285bb925d786d4b58c","observation_id":"66a03dda-847f-40eb-afe8-c3c19197b666","resolution":{"observed_at":"2026-08-08T05:08:39.271149Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.31234/osf.io/dsw7q","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:39.254525Z","title":"Time pressure changes how people explore and respond to uncertainty , url=","venue":null,"work_id":"f48561b3-f9ef-4946-ad00-8e0d0f10a84a","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":85,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.353206Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:1b49605bec6459bb51dd24cfc49947e760dabc4a9b12fcd886c37bcbd00f81ad","observation_id":"f1a05844-2bcc-4528-b104-b74a053b0bc3","resolution":{"observed_at":"2026-08-08T05:08:39.258865Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/educsci13111119","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:08:39.190173Z","title":"Learning and Motivation When Using Multiple-Try in a Digital Game for Primary Students in Chile , volume=","venue":null,"work_id":"8cfcb679-048a-4cca-8b81-f84f8daa1417","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":86,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.356048Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:aa1f6505be8d54d2a23c1943bc673732d653e41f343981978277606cbe58b92c","observation_id":"7bce2919-c0a7-4f02-9b89-0214bccb80c6","resolution":{"observed_at":"2026-08-08T05:08:39.245152Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T05:06:25.359064Z","title":"A Human-Centered Design Methodology to Enhance the Usability, Human Factors, and User Experience of Connected Health Systems: A Three-Phase Methodology , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":87,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.359064Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:acf7549dc4c59d80940a03c34991830f6562dd249be448d4ab2f9cc41ead244a","observation_id":"edd31e32-9f9c-4c1c-ac04-b2149c1a744a","resolution":{"observed_at":"2026-08-08T05:06:25.359064Z","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":"10.3102/0034654312457429","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:06:26.440257Z","title":"What Is Design Thinking and Why Is It Important? , volume=","venue":null,"work_id":"856f371b-9401-4135-8530-bbe57870c390","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":88,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.362169Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:9c5ab7f9f3a0f02f57bb6d8e7ee56d103bfe963a12cd7ade05e392e979bbaaff","observation_id":"889d1333-c6b9-47e7-b5e7-4bbda285e15b","resolution":{"observed_at":"2026-08-08T05:06:26.443507Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[{"edge_observation":{"observed_at":"2026-08-08T06:17:50.492266+00:00","source":"paper_reference_links","state":"open"},"event_date":"2012-11-20","event_type":"correction","notice_doi":"10.3102/0034654312464201","provenance":{"observed_at":"2026-07-11T03:01:23.331703+00:00","source":"crossref","source_record_id":"10.3102/0034654312464201->10.3102/0034654312457429:correction"}}],"reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T05:06:25.365185Z","title":"and Bikkani, Abhishek and Poterucha Carter, M","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":89,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.365185Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:0b061999db469c52022c379487c77c5ffde043b648bf49d3eeac820f1aec26c9","observation_id":"458be5ad-8493-42ec-b0ca-faf83ee02bc6","resolution":{"observed_at":"2026-08-08T05:06:25.365185Z","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":"10.2307/41165921","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:06:26.431052Z","title":null,"venue":null,"work_id":"a16d3718-176a-46e9-800a-138b95787984","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":90,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.368107Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:b803d2f180ee01440b7ceb01673a4567618dec6a72a3890512a6b423af7cc5a1","observation_id":"2d112008-a17d-41eb-bbd2-802538e62f4f","resolution":{"observed_at":"2026-08-08T05:06:26.433857Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T05:06:25.371288Z","title":"and Schafmann, Ernestine , year=","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":91,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.371288Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:917056733d48df16292225001b6bb014c8cf4d0ffef2abcb9864740db1431fe1","observation_id":"47293690-55ba-4976-a1d3-a3d0fedbefc9","resolution":{"observed_at":"2026-08-08T05:06:25.371288Z","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":"10.1108/jmp-12-2023-0752","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:06:26.420971Z","title":"Achieving job performance through agility and innovativeness by strategizing learning ambidexterity , volume=","venue":null,"work_id":"cdf1c29f-4220-49a4-893c-96256d2b9759","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":92,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.374138Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:fac7322428b4ba4df3c445a1cab9f011bf6d5ed012b5c1cb31a44dd46083679c","observation_id":"fd550beb-9c78-4c72-823e-229e245c2ac7","resolution":{"observed_at":"2026-08-08T05:06:26.424422Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T05:06:25.377020Z","title":"Technology-Assisted Language Learning Systems: A Systematic Literature Review , volume=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":93,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.377020Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:0b084f136e5b6c93384baeaa9ee4ea415b27749480154593d6ea1e1f278614f5","observation_id":"eb19ed3f-4731-4944-b0ee-6cafae87149b","resolution":{"observed_at":"2026-08-08T05:06:25.377020Z","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":"10.47750/pegegog.13.02.22","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:06:26.410502Z","title":"2023 , month=","venue":null,"work_id":"08b81608-35d3-4a2b-8a3f-484ce3bad491","year":2023},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":94,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.380237Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:b2cfb241c9dd5ca2921f706b679fcd2c8333de4cc7a5b56ae5ffeac37231f6a6","observation_id":"d1bba42f-a798-4f17-96f1-933c5e142080","resolution":{"observed_at":"2026-08-08T05:06:26.414017Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T05:06:25.383265Z","title":"Micro World – Exploring the Microbial Kingdom","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":95,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.383265Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:2a7a3f81b23953cd4d8a42cc5203e1878580fea993777051fe76651117ed5a19","observation_id":"88142d68-4346-41d9-adc9-432ff945d518","resolution":{"observed_at":"2026-08-08T05:06:25.383265Z","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":"10.31234/osf.io/aj2pb","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:06:26.400657Z","title":"The multifaceted role of self-generated question asking in curiosity-driven learning , url=","venue":null,"work_id":"7cb62f3b-7530-4adb-9831-1bcf68d33f56","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":96,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.386441Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:e64ce2df2a7e2dc04bf7e690f48a90d932e21d2a8fc16aefbfaba12dddb1b52e","observation_id":"8482a0ed-5175-4ca4-8318-d95c450ad974","resolution":{"observed_at":"2026-08-08T05:06:26.404330Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.35199/epde.2021.72","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:06:26.390412Z","title":"CREATIVE PROBLEM-FINDING: A SHIFT IN FOCUS FOR CREATIVE TOOLS , url=","venue":null,"work_id":"57f36f69-4241-4e85-8fa2-df475f2cad51","year":2021},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":97,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.389479Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:aab22ad04a216e8d1615223c1181b5e8be6c3b22ca616717bcd9add8eb4f4e64","observation_id":"d4c45d58-e131-46be-8bd3-8f2b99c33cbc","resolution":{"observed_at":"2026-08-08T05:06:26.394285Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1371/journal.pcbi.1008149","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:06:26.380751Z","title":"and Schulz, Eric and Garvert, Mona M","venue":null,"work_id":"e63bc200-a43d-495f-bca6-736d886fb5da","year":2020},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":98,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.392695Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:1250a05ea1656ecb616ea687700dbbf6b0c2deda3c4ff955326f7b996d7027f6","observation_id":"f44e166f-27a6-4007-acc7-9fd8a4bc5449","resolution":{"observed_at":"2026-08-08T05:06:26.383851Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[{"edge_observation":{"observed_at":"2026-08-08T06:17:50.71594+00:00","source":"paper_reference_links","state":"open"},"event_date":"2020-10-21","event_type":"correction","notice_doi":"10.1371/journal.pcbi.1008384","provenance":{"observed_at":"2026-07-11T03:05:47.857485+00:00","source":"crossref","source_record_id":"10.1371/journal.pcbi.1008384->10.1371/journal.pcbi.1008149:correction"}}],"reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1111/cogs.12695","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T05:06:26.370574Z","title":"and Huys, Quentin J","venue":null,"work_id":"af291afd-aa66-41f9-a060-a186cf255095","year":null},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":99,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.395741Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:1438046e0b561673cbe628488994b11f2b5066f75db7c0e5d9803b3656166686","observation_id":"96df9095-2fb9-4fdb-82c5-008ec0afcac1","resolution":{"observed_at":"2026-08-08T05:06:26.373967Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T05:06:25.398704Z","title":"and Whyte, Christopher J","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying","version":1},"reference_index":100,"source":"arxiv_source","source_observed_at":"2026-08-08T05:06:25.398704Z"},"links":{"citing_paper":"/paper/2608.05642"},"observation_digest":"sha256:e19adbd668b0f3a8a23c1f645fa8f840fefc7969625ad498a5d3ba485a9e2390","observation_id":"e9e88455-9318-4590-adaf-81dbdd79cfdb","resolution":{"observed_at":"2026-08-08T05:06:25.398704Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2608.05642","last_updated":"2026-08-06T06:36:55Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-09T22:11:30.854281Z","submitted_at":"2026-08-06T06:36:55Z","title":"Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":36,"verified_exact":64,"verified_fuzzy":0},"total_outbound_references":193},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 100 of 193 outbound references and 0 inbound Pith citation observations for arXiv:2608.05642."}