{"as_of":"2026-08-08T17:57:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e1aefe46721d57073ecd779cdadb9bae03a228c103d02c34e424e4e792103e4c","coverage":[{"denominator":33,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":33,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:39:58.802673Z","state":"measured"},{"denominator":33,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":33,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2505.18077/citation-record","integrity":"/paper/2505.18077/integrity","json":"/paper/2505.18077/citation-record.json","paper":"/paper/2505.18077"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2102.01130","last_updated":"2025-03-06T14:21:55Z","snapshot_observed_at":"2026-07-06T10:37:33.660478Z","submitted_at":"2021-02-01T19:45:47Z","title":"Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2102.01130","snapshot_observed_at":"2026-08-07T14:39:56.109547Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.18077","last_updated":"2026-07-08T18:07:33Z","snapshot_observed_at":"2026-08-07T17:35:07.363575Z","submitted_at":"2025-05-23T16:33:47Z","title":"Bayesian Deep Learning for Discrete Choice","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T14:39:56.109547Z"},"links":{"cited_paper":"/paper/2102.01130","citing_paper":"/paper/2505.18077"},"observation_digest":"sha256:12fd47fc12bab441dc012a449a7f34a436478aeff2ddee0d92015cb7cff643bd","observation_id":"0f9f9ce5-f589-4ff8-987b-a449467a3dd2","resolution":{"observed_at":"2026-08-07T14:39:56.109547Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:40:02.477370Z","title":null,"venue":null,"work_id":"663c2931-6ff1-44d9-9ef2-847b8b653aab","year":2020},"citing_paper":{"arxiv_id":"2505.18077","last_updated":"2026-07-08T18:07:33Z","snapshot_observed_at":"2026-08-07T17:35:07.363575Z","submitted_at":"2025-05-23T16:33:47Z","title":"Bayesian Deep Learning for Discrete Choice","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T14:39:56.235372Z"},"links":{"citing_paper":"/paper/2505.18077"},"observation_digest":"sha256:c7073ee2c1bb5ed2747d8048559203512817d99fcede2a0af854acc73e5587b5","observation_id":"21c7487b-5c4c-4da5-9d87-89557fcb5761","resolution":{"observed_at":"2026-08-07T14:40:02.533937Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:39:56.333858Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.18077","last_updated":"2026-07-08T18:07:33Z","snapshot_observed_at":"2026-08-07T17:35:07.363575Z","submitted_at":"2025-05-23T16:33:47Z","title":"Bayesian Deep Learning for Discrete Choice","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T14:39:56.333858Z"},"links":{"citing_paper":"/paper/2505.18077"},"observation_digest":"sha256:f1ebf81786ec4fe7295160b391cf0c480ed42928e1735c2ace567f3995b8d66a","observation_id":"5255c0c3-43bc-49fb-88a9-6693d78c6df8","resolution":{"observed_at":"2026-08-07T14:39:56.333858Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2001.10995","last_updated":"2020-01-29T18:08:52Z","snapshot_observed_at":"2026-08-08T16:17:29.481177Z","submitted_at":"2020-01-29T18:08:52Z","title":"The Case for Bayesian Deep Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2001.10995","snapshot_observed_at":"2026-08-07T14:39:56.405537Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.18077","last_updated":"2026-07-08T18:07:33Z","snapshot_observed_at":"2026-08-07T17:35:07.363575Z","submitted_at":"2025-05-23T16:33:47Z","title":"Bayesian Deep Learning for Discrete Choice","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T14:39:56.405537Z"},"links":{"cited_paper":"/paper/2001.10995","citing_paper":"/paper/2505.18077"},"observation_digest":"sha256:cb93db45fd9225ad0769bc2c068549a576fab90fe5cab0bfeb5433f367ab01e7","observation_id":"cd44a9c7-5f0f-4300-9b3d-252d0310b318","resolution":{"observed_at":"2026-08-07T14:39:56.405537Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:40:02.372144Z","title":null,"venue":null,"work_id":"e88a9fd4-0454-413f-83e1-39b1ab142600","year":2022},"citing_paper":{"arxiv_id":"2505.18077","last_updated":"2026-07-08T18:07:33Z","snapshot_observed_at":"2026-08-07T17:35:07.363575Z","submitted_at":"2025-05-23T16:33:47Z","title":"Bayesian Deep Learning for Discrete Choice","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T14:39:56.491047Z"},"links":{"citing_paper":"/paper/2505.18077"},"observation_digest":"sha256:4d2ef1dc8c5b0b9326aeb54cad43a7a9872161eb6b18f5cf0e1baef6e808c832","observation_id":"8508ec89-8533-41e2-b39a-1197520034c8","resolution":{"observed_at":"2026-08-07T14:40:02.413099Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:40:02.208574Z","title":null,"venue":null,"work_id":"31e2382c-1242-4ae8-8783-68642030fa78","year":2021},"citing_paper":{"arxiv_id":"2505.18077","last_updated":"2026-07-08T18:07:33Z","snapshot_observed_at":"2026-08-07T17:35:07.363575Z","submitted_at":"2025-05-23T16:33:47Z","title":"Bayesian Deep Learning for Discrete Choice","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T14:39:56.592497Z"},"links":{"citing_paper":"/paper/2505.18077"},"observation_digest":"sha256:191eaa2a41ad19245e1fd49f0556a107c4bffd534244276f79433d8829c2a766","observation_id":"9d766946-5d05-48bc-bb77-4ac111bb8ed9","resolution":{"observed_at":"2026-08-07T14:40:02.289687Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:40:02.046328Z","title":null,"venue":null,"work_id":"3e7e24b9-78d3-4013-88ab-da66790d2579","year":2020},"citing_paper":{"arxiv_id":"2505.18077","last_updated":"2026-07-08T18:07:33Z","snapshot_observed_at":"2026-08-07T17:35:07.363575Z","submitted_at":"2025-05-23T16:33:47Z","title":"Bayesian Deep Learning for Discrete Choice","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T14:39:56.708661Z"},"links":{"citing_paper":"/paper/2505.18077"},"observation_digest":"sha256:ddd36790fab972042074cf8ae8fb6558f33877951c8399cf38e3e9c74d58485a","observation_id":"d6cd3b34-b721-4672-8c56-719ecff27622","resolution":{"observed_at":"2026-08-07T14:40:02.118588Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:40:01.871975Z","title":null,"venue":null,"work_id":"c1eba1e7-4ae2-42db-aa2a-010c8fa3c70b","year":2024},"citing_paper":{"arxiv_id":"2505.18077","last_updated":"2026-07-08T18:07:33Z","snapshot_observed_at":"2026-08-07T17:35:07.363575Z","submitted_at":"2025-05-23T16:33:47Z","title":"Bayesian Deep Learning for Discrete Choice","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T14:39:56.815413Z"},"links":{"citing_paper":"/paper/2505.18077"},"observation_digest":"sha256:457bb9be3b2a3171089ca0ea473a2e90e38f1b37e06734de45e975f78d1c8b86","observation_id":"c1fd11c9-165d-422d-a072-de5677b0d398","resolution":{"observed_at":"2026-08-07T14:40:01.941090Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:40:01.688450Z","title":null,"venue":null,"work_id":"d977f20c-6513-4fec-bc0a-088a4bbe7ce6","year":2018},"citing_paper":{"arxiv_id":"2505.18077","last_updated":"2026-07-08T18:07:33Z","snapshot_observed_at":"2026-08-07T17:35:07.363575Z","submitted_at":"2025-05-23T16:33:47Z","title":"Bayesian Deep Learning for Discrete Choice","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T14:39:56.925151Z"},"links":{"citing_paper":"/paper/2505.18077"},"observation_digest":"sha256:71149241b3e84f57886f68cdfaa1500860ca59f60eb881935812d589700547fe","observation_id":"a7d46c0f-3f0d-412f-b851-fb957150dd93","resolution":{"observed_at":"2026-08-07T14:40:01.789560Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.09786","last_updated":"2025-03-12T19:38:47Z","snapshot_observed_at":"2026-08-07T17:09:04.336416Z","submitted_at":"2025-03-12T19:38:47Z","title":"Designing Graph Convolutional Neural Networks for Discrete Choice with Network Effects","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.09786","snapshot_observed_at":"2026-08-07T14:39:57.064497Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.18077","last_updated":"2026-07-08T18:07:33Z","snapshot_observed_at":"2026-08-07T17:35:07.363575Z","submitted_at":"2025-05-23T16:33:47Z","title":"Bayesian Deep Learning for Discrete Choice","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T14:39:57.064497Z"},"links":{"cited_paper":"/paper/2503.09786","citing_paper":"/paper/2505.18077"},"observation_digest":"sha256:4b59e873655208103290b4608adc54f221796f2043e9e4f7bd7452f03c37c9e1","observation_id":"00a31eaa-4182-4208-b0a6-7a601d73b6e9","resolution":{"observed_at":"2026-08-07T14:39:57.064497Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2107.07511","last_updated":"2022-12-07T05:08:01Z","snapshot_observed_at":"2026-07-06T11:29:34.579530Z","submitted_at":"2021-07-15T17:59:50Z","title":"A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.07511","snapshot_observed_at":"2026-08-07T14:39:57.146228Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.18077","last_updated":"2026-07-08T18:07:33Z","snapshot_observed_at":"2026-08-07T17:35:07.363575Z","submitted_at":"2025-05-23T16:33:47Z","title":"Bayesian Deep Learning for Discrete Choice","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T14:39:57.146228Z"},"links":{"cited_paper":"/paper/2107.07511","citing_paper":"/paper/2505.18077"},"observation_digest":"sha256:b1ce528a5923256a47b96843ce0bd7495d0558f4eb306b23c22477f11ef72619","observation_id":"ddfc2b2c-b36a-42f4-80e1-acf8cf3e611b","resolution":{"observed_at":"2026-08-07T14:39:57.146228Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.11824","last_updated":"2026-03-06T03:35:34Z","snapshot_observed_at":"2026-07-06T19:52:07.342252Z","submitted_at":"2024-11-18T18:44:00Z","title":"Theoretical Foundations of Conformal Prediction","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.11824","snapshot_observed_at":"2026-08-07T14:39:57.277671Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.18077","last_updated":"2026-07-08T18:07:33Z","snapshot_observed_at":"2026-08-07T17:35:07.363575Z","submitted_at":"2025-05-23T16:33:47Z","title":"Bayesian Deep Learning for Discrete Choice","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T14:39:57.277671Z"},"links":{"cited_paper":"/paper/2411.11824","citing_paper":"/paper/2505.18077"},"observation_digest":"sha256:1104223b9979f3e06742c5143b1583434ff1a088b9676ed221bf4b190c583e92","observation_id":"78474713-020c-4ac0-9d0d-aa3aa87c2508","resolution":{"observed_at":"2026-08-07T14:39:57.277671Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.00809","last_updated":"2024-08-06T16:32:38Z","snapshot_observed_at":"2026-08-04T19:29:59.597640Z","submitted_at":"2024-02-01T17:45:26Z","title":"Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.00809","snapshot_observed_at":"2026-08-07T14:39:57.355409Z","title":"Papamarkou, M","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.18077","last_updated":"2026-07-08T18:07:33Z","snapshot_observed_at":"2026-08-07T17:35:07.363575Z","submitted_at":"2025-05-23T16:33:47Z","title":"Bayesian Deep Learning for Discrete Choice","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T14:39:57.355409Z"},"links":{"cited_paper":"/paper/2402.00809","citing_paper":"/paper/2505.18077"},"observation_digest":"sha256:e23bc15da17e3611e4cf6ee3a6ee452927c275c658d5b94f0cef550f0b0ce1af","observation_id":"ffe5466b-a4ba-4c73-afbb-6e984c22e4f0","resolution":{"observed_at":"2026-08-07T14:39:57.355409Z","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":"2026-08-07T14:39:57.392973Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.18077","last_updated":"2026-07-08T18:07:33Z","snapshot_observed_at":"2026-08-07T17:35:07.363575Z","submitted_at":"2025-05-23T16:33:47Z","title":"Bayesian Deep Learning for Discrete Choice","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T14:39:57.392973Z"},"links":{"citing_paper":"/paper/2505.18077"},"observation_digest":"sha256:6cf0b648ff12766cd4df10e80bbada020f69b6bea0ff51dd18efab41b4cd6f97","observation_id":"6770e23d-f9ad-4528-82d6-5d438bddf737","resolution":{"observed_at":"2026-08-07T14:39:57.392973Z","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":"2026-08-07T14:39:57.496430Z","title":"Welling, Y","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2505.18077","last_updated":"2026-07-08T18:07:33Z","snapshot_observed_at":"2026-08-07T17:35:07.363575Z","submitted_at":"2025-05-23T16:33:47Z","title":"Bayesian Deep Learning for Discrete Choice","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T14:39:57.496430Z"},"links":{"citing_paper":"/paper/2505.18077"},"observation_digest":"sha256:63cd383101cf6c946bc32e21014e835569becac46ab2d98ff8e7bbc03c512c18","observation_id":"1014ba70-e732-4e16-9b1a-143b891a7d40","resolution":{"observed_at":"2026-08-07T14:39:57.496430Z","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":"2026-08-07T14:39:57.615268Z","title":null,"venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2505.18077","last_updated":"2026-07-08T18:07:33Z","snapshot_observed_at":"2026-08-07T17:35:07.363575Z","submitted_at":"2025-05-23T16:33:47Z","title":"Bayesian Deep Learning for Discrete Choice","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T14:39:57.615268Z"},"links":{"citing_paper":"/paper/2505.18077"},"observation_digest":"sha256:dfcdda9580edfe5e0c11a874da0d3784f3848284fb09be6a355cd7fa1e562d0a","observation_id":"67c8f3ea-3845-40c5-9322-ba8775faab0c","resolution":{"observed_at":"2026-08-07T14:39:57.615268Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.10948","last_updated":"2024-06-16T14:05:47Z","snapshot_observed_at":"2026-07-06T18:31:45.125236Z","submitted_at":"2024-06-16T14:05:47Z","title":"Incorporating uncertainty quantification into travel mode choice modeling: a Bayesian neural network (BNN) approach and an uncertainty-guided active survey framework","version":1},"cited_work":{"arxiv_id":"2406.10948","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.10948","snapshot_observed_at":"2026-08-07T14:39:59.570140Z","title":"Incorporating uncertainty quantification into travel mode choice modeling: a Bayesian neural network (BNN) approach and an uncertainty-guided active survey framework","venue":"cs.LG","work_id":"04e5d9c6-81b0-4809-a02e-d27995268dde","year":2024},"citing_paper":{"arxiv_id":"2505.18077","last_updated":"2026-07-08T18:07:33Z","snapshot_observed_at":"2026-08-07T17:35:07.363575Z","submitted_at":"2025-05-23T16:33:47Z","title":"Bayesian Deep Learning for Discrete Choice","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T14:39:57.685644Z"},"links":{"cited_paper":"/paper/2406.10948","citing_paper":"/paper/2505.18077"},"observation_digest":"sha256:46b604445b0d67de8e74b800f615da0f5a9f2196be2f398ad2eb7bf8611fc2eb","observation_id":"0913778e-dfaa-4df3-aa3d-db6794d9468f","resolution":{"observed_at":"2026-08-07T14:39:59.613875Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:40:01.366102Z","title":"Arkoudi, R","venue":null,"work_id":"4bddb3e8-9aed-4bcb-87e7-3787ab2aac5d","year":2023},"citing_paper":{"arxiv_id":"2505.18077","last_updated":"2026-07-08T18:07:33Z","snapshot_observed_at":"2026-08-07T17:35:07.363575Z","submitted_at":"2025-05-23T16:33:47Z","title":"Bayesian Deep Learning for Discrete Choice","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T14:39:57.738637Z"},"links":{"citing_paper":"/paper/2505.18077"},"observation_digest":"sha256:d769b5f50824c191c28436b52608e5d4b2f364cf59c7cd30b04a314fd31da597","observation_id":"bbc12511-ef23-480b-b7ad-41a20f417ed0","resolution":{"observed_at":"2026-08-07T14:40:01.564854Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:40:01.095669Z","title":null,"venue":null,"work_id":"1026060d-8e1e-45ca-84f6-f9996ee11d96","year":2021},"citing_paper":{"arxiv_id":"2505.18077","last_updated":"2026-07-08T18:07:33Z","snapshot_observed_at":"2026-08-07T17:35:07.363575Z","submitted_at":"2025-05-23T16:33:47Z","title":"Bayesian Deep Learning for Discrete Choice","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T14:39:57.774884Z"},"links":{"citing_paper":"/paper/2505.18077"},"observation_digest":"sha256:80e9cf6c6abf51fe1177d44204a9673245c2770f0d855504d74b56841fc2f6d6","observation_id":"1a725de6-19ee-4a36-8d01-d21b4ffa7aa5","resolution":{"observed_at":"2026-08-07T14:40:01.207019Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2002.08791","last_updated":"2022-03-30T17:22:29Z","snapshot_observed_at":"2026-08-08T13:39:40.703990Z","submitted_at":"2020-02-20T15:13:27Z","title":"Bayesian Deep Learning and a Probabilistic Perspective of Generalization","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.08791","snapshot_observed_at":"2026-08-07T14:39:57.834674Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.18077","last_updated":"2026-07-08T18:07:33Z","snapshot_observed_at":"2026-08-07T17:35:07.363575Z","submitted_at":"2025-05-23T16:33:47Z","title":"Bayesian Deep Learning for Discrete Choice","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T14:39:57.834674Z"},"links":{"cited_paper":"/paper/2002.08791","citing_paper":"/paper/2505.18077"},"observation_digest":"sha256:d1dedbde9b4b98a9fed94399fffeadd806d50b5e01fc5036c7b6db486794c026","observation_id":"af64cf43-0cad-4e30-86e4-4939fa086c3f","resolution":{"observed_at":"2026-08-07T14:39:57.834674Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1712.09913","last_updated":"2018-11-07T06:25:20Z","snapshot_observed_at":"2026-08-07T05:43:01.204264Z","submitted_at":"2017-12-28T16:15:42Z","title":"Visualizing the Loss Landscape of Neural Nets","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1712.09913","snapshot_observed_at":"2026-08-07T14:39:57.898278Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.18077","last_updated":"2026-07-08T18:07:33Z","snapshot_observed_at":"2026-08-07T17:35:07.363575Z","submitted_at":"2025-05-23T16:33:47Z","title":"Bayesian Deep Learning for Discrete Choice","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T14:39:57.898278Z"},"links":{"cited_paper":"/paper/1712.09913","citing_paper":"/paper/2505.18077"},"observation_digest":"sha256:f791ba12b68969839475d090a52dd6282da35410c11210ee1162802f85768241","observation_id":"a1ef76c1-57fa-4ce4-bd8a-b325612423f6","resolution":{"observed_at":"2026-08-07T14:39:57.898278Z","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":"2026-08-07T14:39:58.002914Z","title":null,"venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2505.18077","last_updated":"2026-07-08T18:07:33Z","snapshot_observed_at":"2026-08-07T17:35:07.363575Z","submitted_at":"2025-05-23T16:33:47Z","title":"Bayesian Deep Learning for Discrete Choice","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T14:39:58.002914Z"},"links":{"citing_paper":"/paper/2505.18077"},"observation_digest":"sha256:97768c7a145ea4a01d4cc6b024a6597174c9bc874cadfeb1c7232f690b1e8922","observation_id":"02d43546-d073-4ab9-a5c8-87b9507cbd91","resolution":{"observed_at":"2026-08-07T14:39:58.002914Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1803.05407","last_updated":"2019-02-25T14:18:11Z","snapshot_observed_at":"2026-07-31T19:09:21.589864Z","submitted_at":"2018-03-14T17:09:27Z","title":"Averaging Weights Leads to Wider Optima and Better Generalization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.05407","snapshot_observed_at":"2026-08-07T14:39:58.100858Z","title":"Izmailov, D","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.18077","last_updated":"2026-07-08T18:07:33Z","snapshot_observed_at":"2026-08-07T17:35:07.363575Z","submitted_at":"2025-05-23T16:33:47Z","title":"Bayesian Deep Learning for Discrete Choice","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T14:39:58.100858Z"},"links":{"cited_paper":"/paper/1803.05407","citing_paper":"/paper/2505.18077"},"observation_digest":"sha256:532f724b7d80a6da74e88f3f96c24c8ee2cf6e40a1cba56dd22cf48ad58aa9d1","observation_id":"81475546-e4e9-46a1-a841-f04671a170b4","resolution":{"observed_at":"2026-08-07T14:39:58.100858Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:40:00.773270Z","title":null,"venue":null,"work_id":"081e0bbe-37c2-4155-adf8-f5741f1c47e1","year":2018},"citing_paper":{"arxiv_id":"2505.18077","last_updated":"2026-07-08T18:07:33Z","snapshot_observed_at":"2026-08-07T17:35:07.363575Z","submitted_at":"2025-05-23T16:33:47Z","title":"Bayesian Deep Learning for Discrete Choice","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T14:39:58.149303Z"},"links":{"citing_paper":"/paper/2505.18077"},"observation_digest":"sha256:b1ea75d6b0ac8c49e14d23dfdaa475dc873b9a831c4951304d1d940fc5aad2e2","observation_id":"6d062e5d-1ea6-4b8c-a400-7479bb78149d","resolution":{"observed_at":"2026-08-07T14:40:00.917636Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1612.01474","last_updated":"2017-11-04T01:33:43Z","snapshot_observed_at":"2026-07-06T05:21:24.357721Z","submitted_at":"2016-12-05T18:54:43Z","title":"Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1612.01474","snapshot_observed_at":"2026-08-07T14:39:58.198076Z","title":"Lakshminarayanan, A","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.18077","last_updated":"2026-07-08T18:07:33Z","snapshot_observed_at":"2026-08-07T17:35:07.363575Z","submitted_at":"2025-05-23T16:33:47Z","title":"Bayesian Deep Learning for Discrete Choice","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T14:39:58.198076Z"},"links":{"cited_paper":"/paper/1612.01474","citing_paper":"/paper/2505.18077"},"observation_digest":"sha256:10c75dca16ef891dc77ceaf20fc00e4bcbcd806571cd89d877269288716b0e49","observation_id":"503942e0-788c-4f2e-8363-c7a8f1661d4a","resolution":{"observed_at":"2026-08-07T14:39:58.198076Z","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":"2026-08-07T14:39:58.249028Z","title":null,"venue":null,"work_id":null,"year":1992},"citing_paper":{"arxiv_id":"2505.18077","last_updated":"2026-07-08T18:07:33Z","snapshot_observed_at":"2026-08-07T17:35:07.363575Z","submitted_at":"2025-05-23T16:33:47Z","title":"Bayesian Deep Learning for Discrete Choice","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T14:39:58.249028Z"},"links":{"citing_paper":"/paper/2505.18077"},"observation_digest":"sha256:fd314c8ef6012e92ac19eb8f931dc9c4828d43dcfad2c8916f832e7777fca36e","observation_id":"6d9ac834-e684-42ed-bc74-e078f8b7932c","resolution":{"observed_at":"2026-08-07T14:39:58.249028Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:40:00.531721Z","title":null,"venue":null,"work_id":"58f4c16a-dcd1-4528-bade-a98423f6f2c3","year":2021},"citing_paper":{"arxiv_id":"2505.18077","last_updated":"2026-07-08T18:07:33Z","snapshot_observed_at":"2026-08-07T17:35:07.363575Z","submitted_at":"2025-05-23T16:33:47Z","title":"Bayesian Deep Learning for Discrete Choice","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T14:39:58.299583Z"},"links":{"citing_paper":"/paper/2505.18077"},"observation_digest":"sha256:680322e96c0c0d05ad66bb27698bfb7258972a0c1ccfeac855c19ba93c0dbab5","observation_id":"842b80f9-2a6c-46b1-828b-d8ba0cd3e4cb","resolution":{"observed_at":"2026-08-07T14:40:00.669877Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:40:00.291699Z","title":"Ioffe, C","venue":null,"work_id":"48dc0d57-87c8-4bf2-adbd-8fad6fc1c13f","year":2015},"citing_paper":{"arxiv_id":"2505.18077","last_updated":"2026-07-08T18:07:33Z","snapshot_observed_at":"2026-08-07T17:35:07.363575Z","submitted_at":"2025-05-23T16:33:47Z","title":"Bayesian Deep Learning for Discrete Choice","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T14:39:58.403298Z"},"links":{"citing_paper":"/paper/2505.18077"},"observation_digest":"sha256:cb2eab1c8379708970ca24078ad3e85f5c0b6fc1524c4e6aa783dcd8d3dab181","observation_id":"961fc69e-556c-4540-a3b8-406c1245a227","resolution":{"observed_at":"2026-08-07T14:40:00.398613Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.02743","last_updated":"2026-07-30T19:20:59Z","snapshot_observed_at":"2026-08-07T15:56:20.122788Z","submitted_at":"2025-05-05T15:50:52Z","title":"Cooperative Variance Estimation and Bayesian Neural Networks for Disentangling Aleatoric and Epistemic Uncertainties","version":3},"cited_work":{"arxiv_id":"2505.02743","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.02743","snapshot_observed_at":"2026-08-07T14:39:59.192826Z","title":"Cooperative Variance Estimation and Bayesian Neural Networks for Disentangling Aleatoric and Epistemic Uncertainties","venue":"cs.LG","work_id":"966407a7-03cd-4d2b-b6a9-08e547232048","year":2025},"citing_paper":{"arxiv_id":"2505.18077","last_updated":"2026-07-08T18:07:33Z","snapshot_observed_at":"2026-08-07T17:35:07.363575Z","submitted_at":"2025-05-23T16:33:47Z","title":"Bayesian Deep Learning for Discrete Choice","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T14:39:58.493957Z"},"links":{"cited_paper":"/paper/2505.02743","citing_paper":"/paper/2505.18077"},"observation_digest":"sha256:27b8dd402a7de0320c9021594b09250a1036a8c498cd2e785993782cc5a65afe","observation_id":"16b5bb9e-cba0-44a7-bdc1-c1fe01173395","resolution":{"observed_at":"2026-08-07T14:39:59.318998Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:39:59.994779Z","title":"Sarrias, R","venue":null,"work_id":"942460b0-c9a3-4800-8ef7-3684a3b1aa74","year":2018},"citing_paper":{"arxiv_id":"2505.18077","last_updated":"2026-07-08T18:07:33Z","snapshot_observed_at":"2026-08-07T17:35:07.363575Z","submitted_at":"2025-05-23T16:33:47Z","title":"Bayesian Deep Learning for Discrete Choice","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T14:39:58.546298Z"},"links":{"citing_paper":"/paper/2505.18077"},"observation_digest":"sha256:eafe93ff18d6f5427a4e718ddb670d378acc8598c9195a86cfd110248eb06615","observation_id":"14d2e6f3-d39d-4a0a-9c05-7d81147f554c","resolution":{"observed_at":"2026-08-07T14:40:00.161325Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:39:58.623504Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.18077","last_updated":"2026-07-08T18:07:33Z","snapshot_observed_at":"2026-08-07T17:35:07.363575Z","submitted_at":"2025-05-23T16:33:47Z","title":"Bayesian Deep Learning for Discrete Choice","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T14:39:58.623504Z"},"links":{"citing_paper":"/paper/2505.18077"},"observation_digest":"sha256:94d3a58a2f8d10d7ccf9465d7b7c0e63a6f7e81006bd3042a668501cb6bd9a94","observation_id":"7662908d-f298-4ae6-8f10-a27a470b2047","resolution":{"observed_at":"2026-08-07T14:39:58.623504Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:39:59.802807Z","title":"Vrtic, K","venue":null,"work_id":"aa53cece-8927-492c-8728-70847ce25986","year":2002},"citing_paper":{"arxiv_id":"2505.18077","last_updated":"2026-07-08T18:07:33Z","snapshot_observed_at":"2026-08-07T17:35:07.363575Z","submitted_at":"2025-05-23T16:33:47Z","title":"Bayesian Deep Learning for Discrete Choice","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T14:39:58.715684Z"},"links":{"citing_paper":"/paper/2505.18077"},"observation_digest":"sha256:ef3a368c734a12dfe052416106c54e5d2ad016729f049b38c7fd5d47bac8c1dd","observation_id":"bb7daaa8-4ec4-4d9b-a36b-982bc2210b1b","resolution":{"observed_at":"2026-08-07T14:39:59.863479Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.2478/amns-2024-3548","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:39:58.913891Z","title":null,"venue":null,"work_id":"c7b196a2-7b49-4ca0-8760-7b4118ae6e31","year":2024},"citing_paper":{"arxiv_id":"2505.18077","last_updated":"2026-07-08T18:07:33Z","snapshot_observed_at":"2026-08-07T17:35:07.363575Z","submitted_at":"2025-05-23T16:33:47Z","title":"Bayesian Deep Learning for Discrete Choice","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T14:39:58.802673Z"},"links":{"citing_paper":"/paper/2505.18077"},"observation_digest":"sha256:d56aef2a6949fbcab8ccf35d89d09763b5e6d8fcd9394403b137efc0cfedb48d","observation_id":"363fd305-0979-482e-ad60-a8c991e004c4","resolution":{"observed_at":"2026-08-07T14:39:58.976294Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.18077","last_updated":"2026-07-08T18:07:33Z","latest_version":3,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-07T17:35:07.363575Z","submitted_at":"2025-05-23T16:33:47Z","title":"Bayesian Deep Learning for Discrete Choice"},"reference_resolution":{"displayed":33,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":26,"verified_exact":3,"verified_fuzzy":4},"total_outbound_references":33},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2505.18077."}